diff --git "a/rsna2inbreast/log.txt" "b/rsna2inbreast/log.txt" new file mode 100644--- /dev/null +++ "b/rsna2inbreast/log.txt" @@ -0,0 +1,8064 @@ +[04/09 20:17:20] detectron2 INFO: Rank of current process: 0. World size: 1 +[04/09 20:17:21] detectron2 INFO: Environment info: +------------------------------- ---------------------------------------------------------------------------- +sys.platform linux +Python 3.11.11 (main, Dec 11 2024, 16:28:39) [GCC 11.2.0] +numpy 2.0.1 +detectron2 0.6 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/detectron2 +Compiler GCC 9.4 +CUDA compiler CUDA 12.6 +detectron2 arch flags 8.6 +DETECTRON2_ENV_MODULE +PyTorch 2.5.1 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/torch +PyTorch debug build False +torch._C._GLIBCXX_USE_CXX11_ABI False +GPU available Yes +GPU 0 NVIDIA A10 (arch=8.6) +Driver version 565.57.01 +CUDA_HOME /usr/local/cuda +Pillow 11.0.0 +torchvision 0.20.1 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/torchvision +torchvision arch flags 5.0, 6.0, 7.0, 7.5, 8.0, 8.6, 9.0 +fvcore 0.1.5.post20221221 +iopath 0.1.9 +cv2 Not found +------------------------------- ---------------------------------------------------------------------------- +PyTorch built with: + - GCC 9.3 + - C++ Version: 201703 + - Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v3.5.3 (Git Hash 66f0cb9eb66affd2da3bf5f8d897376f04aae6af) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX512 + - CUDA Runtime 12.4 + - NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90 + - CuDNN 90.1 + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.4, CUDNN_VERSION=9.1.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.5.1, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, + +[04/09 20:17:21] detectron2 INFO: Command line arguments: Namespace(config_file='configs/faster_rcnn_VGG_cross_city.yaml', resume=False, eval_only=False, num_gpus=1, num_machines=1, machine_rank=0, dist_url='tcp://127.0.0.1:50162', opts=['OUTPUT_DIR', '/DATA/Rajes/Research/output_cat/bmp_rti']) +[04/09 20:17:21] detectron2 INFO: Contents of args.config_file=configs/faster_rcnn_VGG_cross_city.yaml: +_BASE_: "./Base-RCNN-C4.yaml" +MODEL: + # META_ARCHITECTURE: "TwoStagePseudoLabGeneralizedRCNN" + META_ARCHITECTURE: "DAobjTwoStagePseudoLabGeneralizedRCNN" + BACKBONE: + NAME: "build_vgg_backbone" + MASK_ON: False + RESNETS: + DEPTH: 101 + PROPOSAL_GENERATOR: + NAME: "PseudoLabRPN" + # RPN: + # POSITIVE_FRACTION: 0.25 + RPN: + IN_FEATURES: ["vgg4"] + ROI_HEADS: + NAME: "StandardROIHeadsPseudoLab" + LOSS: "CrossEntropy" # variant: "CrossEntropy" + NUM_CLASSES: 1 + IN_FEATURES: ["vgg4"] + ROI_BOX_HEAD: + NAME: "FastRCNNConvFCHead" + NUM_FC: 2 + POOLER_RESOLUTION: 7 + PIXEL_MEAN: [123.675, 116.280, 103.530] + PIXEL_STD: [58.395, 57.120, 57.375] +SOLVER: + LR_SCHEDULER_NAME: "WarmupTwoStageMultiStepLR" + STEPS: (60000, 80000, 90000, 360000) + FACTOR_LIST: (1, 1, 1, 1, 1) + MAX_ITER: 50000  + IMG_PER_BATCH_LABEL: 4 + IMG_PER_BATCH_UNLABEL: 4 + BASE_LR: 0.02 +DATALOADER: + SUP_PERCENT: 100.0 +DATASETS: +DATASETS: + CROSS_DATASET: True + TRAIN_LABEL: ("VOC2007_inb_dr_train",) + TRAIN_UNLABEL: ("VOC2007_inb_train",) + TEST: ("VOC2007_inb_test",) +SEMISUPNET: + Trainer: "cat" + BBOX_THRESHOLD: 0.8 + TEACHER_UPDATE_ITER: 1 + BURN_UP_STEP: 20000  + EMA_KEEP_RATE: 0.9996 + UNSUP_LOSS_WEIGHT: 1.0 + SUP_LOSS_WEIGHT: 1.0 + DIS_LOSS_WEIGHT: 0.1 + DIS_TYPE: "vgg4" #["concate","p2","multi"] +TEST: + EVAL_PERIOD: 1000 + +[04/09 20:17:21] detectron2 INFO: Running with full config: +BLOCKED_CLASSES: [] +CLS_LOSS: true +CUDNN_BENCHMARK: false +DATALOADER: + ASPECT_RATIO_GROUPING: true + FILTER_EMPTY_ANNOTATIONS: true + NUM_WORKERS: 4 + RANDOM_DATA_SEED: 0 + RANDOM_DATA_SEED_PATH: dataseed/COCO_supervision.txt + REPEAT_SQRT: true + REPEAT_THRESHOLD: 0.0 + SAMPLER_TRAIN: TrainingSampler + SUP_PERCENT: 100.0 +DATASETS: + CROSS_DATASET: true + PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 + PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 + PROPOSAL_FILES_TEST: [] + PROPOSAL_FILES_TRAIN: [] + TEST: + - VOC2007_inb_test + TRAIN: + - coco_2017_train + TRAIN_LABEL: + - VOC2007_inb_dr_train + TRAIN_UNLABEL: + - VOC2007_inb_train +DIA_LOSS: false +EMAMODEL: + SUP_CONSIST: true +FLOAT32_PRECISION: '' +GLOBAL: + HACK: 1.0 +INPUT: + CROP: + ENABLED: false + SIZE: + - 0.9 + - 0.9 + TYPE: relative_range + FORMAT: BGR + MASK_FORMAT: polygon + MAX_SIZE_TEST: 1333 + MAX_SIZE_TRAIN: 1333 + MIN_SIZE_TEST: 800 + MIN_SIZE_TRAIN: + - 600 + MIN_SIZE_TRAIN_SAMPLING: choice + RANDOM_FLIP: horizontal +KEEP_ASPECT: false +LIMIT_MIX: true +LOG_LOSS: true +LOSS_REG_VAL: 1.0 +MIXUP: true +MIX_RANDOM_CLASSES: false +MIX_RATIO: 0.5 +MODEL: + ANCHOR_GENERATOR: + ANGLES: + - - -90 + - 0 + - 90 + ASPECT_RATIOS: + - - 0.5 + - 1.0 + - 2.0 + NAME: DefaultAnchorGenerator + OFFSET: 0.0 + SIZES: + - - 32 + - 64 + - 128 + - 256 + - 512 + BACKBONE: + FREEZE_AT: 2 + NAME: build_vgg_backbone + DEVICE: cuda + FPN: + FUSE_TYPE: sum + IN_FEATURES: [] + NORM: '' + OUT_CHANNELS: 256 + KEYPOINT_ON: false + LOAD_PROPOSALS: false + MASK_ON: false + META_ARCHITECTURE: DAobjTwoStagePseudoLabGeneralizedRCNN + PANOPTIC_FPN: + COMBINE: + ENABLED: true + INSTANCES_CONFIDENCE_THRESH: 0.5 + OVERLAP_THRESH: 0.5 + STUFF_AREA_LIMIT: 4096 + INSTANCE_LOSS_WEIGHT: 1.0 + PIXEL_MEAN: + - 123.675 + - 116.28 + - 103.53 + PIXEL_STD: + - 58.395 + - 57.12 + - 57.375 + PROPOSAL_GENERATOR: + MIN_SIZE: 0 + NAME: PseudoLabRPN + RESNETS: + DEFORM_MODULATED: false + DEFORM_NUM_GROUPS: 1 + DEFORM_ON_PER_STAGE: + - false + - false + - false + - false + DEPTH: 101 + NORM: FrozenBN + NUM_GROUPS: 1 + OUT_FEATURES: + - res4 + RES2_OUT_CHANNELS: 256 + RES5_DILATION: 1 + STEM_OUT_CHANNELS: 64 + STRIDE_IN_1X1: true + WIDTH_PER_GROUP: 64 + RETINANET: + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_WEIGHTS: &id002 + - 1.0 + - 1.0 + - 1.0 + - 1.0 + FOCAL_LOSS_ALPHA: 0.25 + FOCAL_LOSS_GAMMA: 2.0 + IN_FEATURES: + - p3 + - p4 + - p5 + - p6 + - p7 + IOU_LABELS: + - 0 + - -1 + - 1 + IOU_THRESHOLDS: + - 0.4 + - 0.5 + NMS_THRESH_TEST: 0.5 + NORM: '' + NUM_CLASSES: 80 + NUM_CONVS: 4 + PRIOR_PROB: 0.01 + SCORE_THRESH_TEST: 0.05 + SMOOTH_L1_LOSS_BETA: 0.1 + TOPK_CANDIDATES_TEST: 1000 + ROI_BOX_CASCADE_HEAD: + BBOX_REG_WEIGHTS: + - &id001 + - 10.0 + - 10.0 + - 5.0 + - 5.0 + - - 20.0 + - 20.0 + - 10.0 + - 10.0 + - - 30.0 + - 30.0 + - 15.0 + - 15.0 + IOUS: + - 0.5 + - 0.6 + - 0.7 + ROI_BOX_HEAD: + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_LOSS_WEIGHT: 1.0 + BBOX_REG_WEIGHTS: *id001 + CLS_AGNOSTIC_BBOX_REG: false + CONV_DIM: 256 + FC_DIM: 1024 + FED_LOSS_FREQ_WEIGHT_POWER: 0.5 + FED_LOSS_NUM_CLASSES: 50 + NAME: FastRCNNConvFCHead + NORM: '' + NUM_CONV: 0 + NUM_FC: 2 + POOLER_RESOLUTION: 7 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + SMOOTH_L1_BETA: 0.0 + TRAIN_ON_PRED_BOXES: false + USE_FED_LOSS: false + USE_SIGMOID_CE: false + ROI_HEADS: + BATCH_SIZE_PER_IMAGE: 512 + IN_FEATURES: + - vgg4 + IOU_LABELS: + - 0 + - 1 + IOU_THRESHOLDS: + - 0.5 + LOSS: CrossEntropy + NAME: StandardROIHeadsPseudoLab + NMS_THRESH_TEST: 0.5 + NUM_CLASSES: 1 + POSITIVE_FRACTION: 0.25 + PROPOSAL_APPEND_GT: true + SCORE_THRESH_TEST: 0.05 + ROI_KEYPOINT_HEAD: + CONV_DIMS: + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + LOSS_WEIGHT: 1.0 + MIN_KEYPOINTS_PER_IMAGE: 1 + NAME: KRCNNConvDeconvUpsampleHead + NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true + NUM_KEYPOINTS: 17 + POOLER_RESOLUTION: 14 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + ROI_MASK_HEAD: + CLS_AGNOSTIC_MASK: false + CONV_DIM: 256 + NAME: MaskRCNNConvUpsampleHead + NORM: '' + NUM_CONV: 0 + POOLER_RESOLUTION: 14 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + RPN: + BATCH_SIZE_PER_IMAGE: 256 + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_LOSS_WEIGHT: 1.0 + BBOX_REG_WEIGHTS: *id002 + BOUNDARY_THRESH: -1 + CONV_DIMS: + - -1 + HEAD_NAME: StandardRPNHead + IN_FEATURES: + - vgg4 + IOU_LABELS: + - 0 + - -1 + - 1 + IOU_THRESHOLDS: + - 0.3 + - 0.7 + LOSS: CrossEntropy + LOSS_WEIGHT: 1.0 + NMS_THRESH: 0.7 + POSITIVE_FRACTION: 0.5 + POST_NMS_TOPK_TEST: 1000 + POST_NMS_TOPK_TRAIN: 2000 + PRE_NMS_TOPK_TEST: 6000 + PRE_NMS_TOPK_TRAIN: 12000 + SMOOTH_L1_BETA: 0.0 + UNSUP_LOSS_WEIGHT: 1.0 + SEM_SEG_HEAD: + COMMON_STRIDE: 4 + CONVS_DIM: 128 + IGNORE_VALUE: 255 + IN_FEATURES: + - p2 + - p3 + - p4 + - p5 + LOSS_WEIGHT: 1.0 + NAME: SemSegFPNHead + NORM: GN + NUM_CLASSES: 54 + WEIGHTS: '' +OUTPUT_DIR: /DATA/Rajes/Research/output_cat/bmp_rti +SEED: -1 +SEMISUPNET: + BBOX_THRESHOLD: 0.8 + BURN_UP_STEP: 20000 + DIS_LOSS_WEIGHT: 0.1 + DIS_TYPE: vgg4 + EMA_KEEP_RATE: 0.9996 + LOSS_WEIGHT_TYPE: standard + MLP_DIM: 128 + PSEUDO_BBOX_SAMPLE: thresholding + SUP_LOSS_WEIGHT: 1.0 + TEACHER_UPDATE_ITER: 1 + Trainer: cat + UNSUP_LOSS_WEIGHT: 1.0 +SOLVER: + AMP: + ENABLED: false + BASE_LR: 0.02 + BASE_LR_END: 0.0 + BIAS_LR_FACTOR: 1.0 + CHECKPOINT_PERIOD: 5000 + CLIP_GRADIENTS: + CLIP_TYPE: value + CLIP_VALUE: 1.0 + ENABLED: false + NORM_TYPE: 2.0 + FACTOR_LIST: + - 1 + - 1 + - 1 + - 1 + - 1 + GAMMA: 0.1 + IMG_PER_BATCH_LABEL: 4 + IMG_PER_BATCH_UNLABEL: 4 + IMS_PER_BATCH: 16 + LR_SCHEDULER_NAME: WarmupTwoStageMultiStepLR + MAX_ITER: 50000 + MOMENTUM: 0.9 + NESTEROV: false + NUM_DECAYS: 3 + REFERENCE_WORLD_SIZE: 0 + RESCALE_INTERVAL: false + STEPS: + - 60000 + - 80000 + - 90000 + - 360000 + WARMUP_FACTOR: 0.001 + WARMUP_ITERS: 1000 + WARMUP_METHOD: linear + WEIGHT_DECAY: 0.0001 + WEIGHT_DECAY_BIAS: null + WEIGHT_DECAY_NORM: 0.0 +TARGET_BBOX: false +TEST: + AUG: + ENABLED: false + FLIP: true + MAX_SIZE: 4000 + MIN_SIZES: + - 400 + - 500 + - 600 + - 700 + - 800 + - 900 + - 1000 + - 1100 + - 1200 + DETECTIONS_PER_IMAGE: 100 + EVALUATOR: COCOeval + EVAL_PERIOD: 1000 + EXPECTED_RESULTS: [] + KEYPOINT_OKS_SIGMAS: [] + PRECISE_BN: + ENABLED: false + NUM_ITER: 200 + VAL_LOSS: true +VERSION: 2 +VIS_PERIOD: 0 + +[04/09 20:17:21] detectron2 INFO: Full config saved to /DATA/Rajes/Research/output_cat/bmp_rti/config.yaml +[04/09 20:17:21] d2.utils.env INFO: Using a generated random seed 22703950 +[04/09 20:17:21] d2.data.build INFO: Removed 98 images with no usable annotations. 188 images left. +[04/09 20:17:21] d2.data.build INFO: Distribution of instances among all 1 categories: +| category | #instances | +|:----------:|:-------------| +| mal | 188 | +| | | +[04/09 20:17:21] d2.data.build INFO: Distribution of instances among all 1 categories: +| category | #instances | +|:----------:|:-------------| +| mal | 62 | +| | | +[04/09 20:17:21] d2.data.common INFO: Serializing the dataset using: +[04/09 20:17:21] d2.data.common INFO: Serializing 188 elements to byte tensors and concatenating them all ... +[04/09 20:17:21] d2.data.common INFO: Serialized dataset takes 0.10 MiB +[04/09 20:17:21] d2.data.common INFO: Serializing the dataset using: +[04/09 20:17:21] d2.data.common INFO: Serializing 286 elements to byte tensors and concatenating them all ... +[04/09 20:17:21] d2.data.common INFO: Serialized dataset takes 0.13 MiB +[04/09 20:17:22] d2.engine.defaults INFO: Model: +DAobjTwoStagePseudoLabGeneralizedRCNN( + (backbone): vgg_backbone( + (vgg0): Sequential( + (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg1): Sequential( + (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg2): Sequential( + (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg3): Sequential( + (0): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg4): Sequential( + (0): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + ) + (proposal_generator): PseudoLabRPN( + (rpn_head): StandardRPNHead( + (conv): Conv2d( + 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) + (activation): ReLU() + ) + (objectness_logits): Conv2d(512, 15, kernel_size=(1, 1), stride=(1, 1)) + (anchor_deltas): Conv2d(512, 60, kernel_size=(1, 1), stride=(1, 1)) + ) + (anchor_generator): DefaultAnchorGenerator( + (cell_anchors): BufferList() + ) + ) + (roi_heads): StandardROIHeadsPseudoLab( + (box_pooler): ROIPooler( + (level_poolers): ModuleList( + (0): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) + ) + ) + (box_head): FastRCNNConvFCHead( + (flatten): Flatten(start_dim=1, end_dim=-1) + (fc1): Linear(in_features=25088, out_features=1024, bias=True) + (fc_relu1): ReLU() + (fc2): Linear(in_features=1024, out_features=1024, bias=True) + (fc_relu2): ReLU() + ) + (box_predictor): FastRCNNOutputLayers( + (cls_score): Linear(in_features=1024, out_features=2, bias=True) + (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) + ) + ) + (D_img): FCDiscriminator_img( + (conv1): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv2): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (classifier): Conv2d(128, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (leaky_relu): LeakyReLU(negative_slope=0.2, inplace=True) + ) +) +[04/09 20:17:23] d2.engine.defaults INFO: Model: +DAobjTwoStagePseudoLabGeneralizedRCNN( + (backbone): vgg_backbone( + (vgg0): Sequential( + (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg1): Sequential( + (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg2): Sequential( + (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg3): Sequential( + (0): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg4): Sequential( + (0): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + ) + (proposal_generator): PseudoLabRPN( + (rpn_head): StandardRPNHead( + (conv): Conv2d( + 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) + (activation): ReLU() + ) + (objectness_logits): Conv2d(512, 15, kernel_size=(1, 1), stride=(1, 1)) + (anchor_deltas): Conv2d(512, 60, kernel_size=(1, 1), stride=(1, 1)) + ) + (anchor_generator): DefaultAnchorGenerator( + (cell_anchors): BufferList() + ) + ) + (roi_heads): StandardROIHeadsPseudoLab( + (box_pooler): ROIPooler( + (level_poolers): ModuleList( + (0): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) + ) + ) + (box_head): FastRCNNConvFCHead( + (flatten): Flatten(start_dim=1, end_dim=-1) + (fc1): Linear(in_features=25088, out_features=1024, bias=True) + (fc_relu1): ReLU() + (fc2): Linear(in_features=1024, out_features=1024, bias=True) + (fc_relu2): ReLU() + ) + (box_predictor): FastRCNNOutputLayers( + (cls_score): Linear(in_features=1024, out_features=2, bias=True) + (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) + ) + ) + (D_img): FCDiscriminator_img( + (conv1): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv2): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (classifier): Conv2d(128, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (leaky_relu): LeakyReLU(negative_slope=0.2, inplace=True) + ) +) +[04/09 20:17:23] d2.checkpoint.detection_checkpoint INFO: [DetectionCheckpointer] Loading from ... +[04/09 20:17:23] fvcore.common.checkpoint INFO: No checkpoint found. Initializing model from scratch +[04/09 20:17:36] d2.utils.events INFO: eta: 8:08:24 iter: 19 total_loss: 1.391 loss_cls: 0.6618 loss_box_reg: 0.03452 loss_rpn_cls: 0.694 loss_rpn_loc: 0.002697 loss_D_img_s: 0.0007042 time: 0.5731 last_time: 0.5984 data_time: 0.0489 last_data_time: 0.0142 lr: 0.00039962 max_mem: 10548M +[04/09 20:17:48] d2.utils.events INFO: eta: 8:08:20 iter: 39 total_loss: 1.156 loss_cls: 0.4196 loss_box_reg: 0.03402 loss_rpn_cls: 0.6896 loss_rpn_loc: 0.003314 loss_D_img_s: 0.0007043 time: 0.5794 last_time: 0.6206 data_time: 0.0163 last_data_time: 0.0162 lr: 0.00079922 max_mem: 10548M +[04/09 20:18:00] d2.utils.events INFO: eta: 8:06:33 iter: 59 total_loss: 0.9496 loss_cls: 0.251 loss_box_reg: 0.02298 loss_rpn_cls: 0.6711 loss_rpn_loc: 0.00332 loss_D_img_s: 0.0007043 time: 0.5818 last_time: 0.6078 data_time: 0.0165 last_data_time: 0.0378 lr: 0.0011988 max_mem: 10548M +[04/09 20:18:12] d2.utils.events INFO: eta: 8:09:35 iter: 79 total_loss: 0.8356 loss_cls: 0.1583 loss_box_reg: 0.03215 loss_rpn_cls: 0.6383 loss_rpn_loc: 0.002405 loss_D_img_s: 0.0007044 time: 0.5845 last_time: 0.5911 data_time: 0.0224 last_data_time: 0.0141 lr: 0.0015984 max_mem: 10548M +[04/09 20:18:24] d2.utils.events INFO: eta: 8:10:26 iter: 99 total_loss: 0.702 loss_cls: 0.0756 loss_box_reg: 0.04099 loss_rpn_cls: 0.5865 loss_rpn_loc: 0.002623 loss_D_img_s: 0.0007043 time: 0.5879 last_time: 0.5996 data_time: 0.0178 last_data_time: 0.0137 lr: 0.001998 max_mem: 10548M +[04/09 20:18:36] d2.utils.events INFO: eta: 8:10:41 iter: 119 total_loss: 0.6167 loss_cls: 0.07227 loss_box_reg: 0.05022 loss_rpn_cls: 0.4948 loss_rpn_loc: 0.00292 loss_D_img_s: 0.0007038 time: 0.5895 last_time: 0.6228 data_time: 0.0231 last_data_time: 0.0161 lr: 0.0023976 max_mem: 10548M +[04/09 20:18:48] d2.utils.events INFO: eta: 8:11:29 iter: 139 total_loss: 0.4701 loss_cls: 0.06635 loss_box_reg: 0.0527 loss_rpn_cls: 0.3388 loss_rpn_loc: 0.003067 loss_D_img_s: 0.0007033 time: 0.5914 last_time: 0.5995 data_time: 0.0195 last_data_time: 0.0296 lr: 0.0027972 max_mem: 10548M +[04/09 20:19:00] d2.utils.events INFO: eta: 8:13:34 iter: 159 total_loss: 0.3101 loss_cls: 0.06451 loss_box_reg: 0.05383 loss_rpn_cls: 0.1839 loss_rpn_loc: 0.003175 loss_D_img_s: 0.0007029 time: 0.5941 last_time: 0.6107 data_time: 0.0156 last_data_time: 0.0142 lr: 0.0031968 max_mem: 10548M +[04/09 20:19:12] d2.utils.events INFO: eta: 8:14:40 iter: 179 total_loss: 0.2182 loss_cls: 0.06186 loss_box_reg: 0.05296 loss_rpn_cls: 0.103 loss_rpn_loc: 0.003016 loss_D_img_s: 0.0007025 time: 0.5959 last_time: 0.6021 data_time: 0.0169 last_data_time: 0.0158 lr: 0.0035964 max_mem: 10548M +[04/09 20:19:24] d2.utils.events INFO: eta: 8:14:22 iter: 199 total_loss: 0.1674 loss_cls: 0.05978 loss_box_reg: 0.04685 loss_rpn_cls: 0.05825 loss_rpn_loc: 0.002413 loss_D_img_s: 0.0007018 time: 0.5960 last_time: 0.5839 data_time: 0.0327 last_data_time: 0.0942 lr: 0.003996 max_mem: 10548M +[04/09 20:19:36] d2.utils.events INFO: eta: 8:15:26 iter: 219 total_loss: 0.1658 loss_cls: 0.05956 loss_box_reg: 0.05159 loss_rpn_cls: 0.04487 loss_rpn_loc: 0.002814 loss_D_img_s: 0.0007013 time: 0.5968 last_time: 0.5973 data_time: 0.0211 last_data_time: 0.0156 lr: 0.0043956 max_mem: 10548M +[04/09 20:19:49] d2.utils.events INFO: eta: 8:15:57 iter: 239 total_loss: 0.1621 loss_cls: 0.0643 loss_box_reg: 0.05523 loss_rpn_cls: 0.03749 loss_rpn_loc: 0.00223 loss_D_img_s: 0.0007006 time: 0.5980 last_time: 0.5992 data_time: 0.0184 last_data_time: 0.0140 lr: 0.0047952 max_mem: 10548M +[04/09 20:20:01] d2.utils.events INFO: eta: 8:16:50 iter: 259 total_loss: 0.1481 loss_cls: 0.06159 loss_box_reg: 0.05288 loss_rpn_cls: 0.03288 loss_rpn_loc: 0.002384 loss_D_img_s: 0.0007 time: 0.5994 last_time: 0.6176 data_time: 0.0177 last_data_time: 0.0143 lr: 0.0051948 max_mem: 10548M +[04/09 20:20:13] d2.utils.events INFO: eta: 8:17:51 iter: 279 total_loss: 0.1619 loss_cls: 0.06852 loss_box_reg: 0.06335 loss_rpn_cls: 0.02735 loss_rpn_loc: 0.002479 loss_D_img_s: 0.0006994 time: 0.6009 last_time: 0.6258 data_time: 0.0161 last_data_time: 0.0159 lr: 0.0055944 max_mem: 10548M +[04/09 20:20:26] d2.utils.events INFO: eta: 8:19:01 iter: 299 total_loss: 0.1645 loss_cls: 0.0687 loss_box_reg: 0.0661 loss_rpn_cls: 0.02819 loss_rpn_loc: 0.002594 loss_D_img_s: 0.0006986 time: 0.6028 last_time: 0.6391 data_time: 0.0167 last_data_time: 0.0141 lr: 0.005994 max_mem: 10548M +[04/09 20:20:39] d2.utils.events INFO: eta: 8:20:05 iter: 319 total_loss: 0.1548 loss_cls: 0.06274 loss_box_reg: 0.06484 loss_rpn_cls: 0.02608 loss_rpn_loc: 0.002733 loss_D_img_s: 0.0006978 time: 0.6052 last_time: 0.6456 data_time: 0.0285 last_data_time: 0.0407 lr: 0.0063936 max_mem: 10548M +[04/09 20:20:52] d2.utils.events INFO: eta: 8:21:31 iter: 339 total_loss: 0.1437 loss_cls: 0.0575 loss_box_reg: 0.06163 loss_rpn_cls: 0.02171 loss_rpn_loc: 0.002053 loss_D_img_s: 0.0006969 time: 0.6092 last_time: 0.6565 data_time: 0.0186 last_data_time: 0.0149 lr: 0.0067932 max_mem: 10548M +[04/09 20:21:06] d2.utils.events INFO: eta: 8:22:19 iter: 359 total_loss: 0.1549 loss_cls: 0.05985 loss_box_reg: 0.06123 loss_rpn_cls: 0.02193 loss_rpn_loc: 0.002241 loss_D_img_s: 0.0006961 time: 0.6140 last_time: 0.7017 data_time: 0.0180 last_data_time: 0.0146 lr: 0.0071928 max_mem: 10548M +[04/09 20:21:21] d2.utils.events INFO: eta: 8:23:38 iter: 379 total_loss: 0.148 loss_cls: 0.0566 loss_box_reg: 0.06323 loss_rpn_cls: 0.02055 loss_rpn_loc: 0.002366 loss_D_img_s: 0.0006951 time: 0.6194 last_time: 0.7443 data_time: 0.0169 last_data_time: 0.0173 lr: 0.0075924 max_mem: 10548M +[04/09 20:21:35] d2.utils.events INFO: eta: 8:24:59 iter: 399 total_loss: 0.1469 loss_cls: 0.05409 loss_box_reg: 0.06786 loss_rpn_cls: 0.02222 loss_rpn_loc: 0.002732 loss_D_img_s: 0.0006939 time: 0.6242 last_time: 0.7278 data_time: 0.0192 last_data_time: 0.0165 lr: 0.007992 max_mem: 10548M +[04/09 20:21:50] d2.utils.events INFO: eta: 8:26:21 iter: 419 total_loss: 0.1329 loss_cls: 0.05118 loss_box_reg: 0.06103 loss_rpn_cls: 0.02105 loss_rpn_loc: 0.002303 loss_D_img_s: 0.0006929 time: 0.6298 last_time: 0.7918 data_time: 0.0204 last_data_time: 0.0342 lr: 0.0083916 max_mem: 10548M +[04/09 20:22:04] d2.utils.events INFO: eta: 8:27:48 iter: 439 total_loss: 0.1487 loss_cls: 0.05011 loss_box_reg: 0.06656 loss_rpn_cls: 0.0216 loss_rpn_loc: 0.002536 loss_D_img_s: 0.0006919 time: 0.6337 last_time: 0.7071 data_time: 0.0179 last_data_time: 0.0155 lr: 0.0087912 max_mem: 10548M +[04/09 20:22:19] d2.utils.events INFO: eta: 8:30:25 iter: 459 total_loss: 0.1425 loss_cls: 0.05047 loss_box_reg: 0.06725 loss_rpn_cls: 0.0194 loss_rpn_loc: 0.002331 loss_D_img_s: 0.0006903 time: 0.6383 last_time: 0.7813 data_time: 0.0215 last_data_time: 0.0154 lr: 0.0091908 max_mem: 10548M +[04/09 20:22:34] d2.utils.events INFO: eta: 8:32:49 iter: 479 total_loss: 0.1296 loss_cls: 0.04463 loss_box_reg: 0.06548 loss_rpn_cls: 0.01784 loss_rpn_loc: 0.002365 loss_D_img_s: 0.0006892 time: 0.6433 last_time: 0.7958 data_time: 0.0240 last_data_time: 0.0311 lr: 0.0095904 max_mem: 10548M +[04/09 20:22:49] d2.utils.events INFO: eta: 8:34:00 iter: 499 total_loss: 0.1272 loss_cls: 0.04467 loss_box_reg: 0.06538 loss_rpn_cls: 0.01933 loss_rpn_loc: 0.002458 loss_D_img_s: 0.0006881 time: 0.6469 last_time: 0.7777 data_time: 0.0214 last_data_time: 0.0177 lr: 0.00999 max_mem: 10548M +[04/09 20:23:04] d2.utils.events INFO: eta: 8:36:14 iter: 519 total_loss: 0.1422 loss_cls: 0.04754 loss_box_reg: 0.07185 loss_rpn_cls: 0.01848 loss_rpn_loc: 0.001874 loss_D_img_s: 0.0006868 time: 0.6512 last_time: 0.6983 data_time: 0.0191 last_data_time: 0.0156 lr: 0.01039 max_mem: 10548M +[04/09 20:23:19] d2.utils.events INFO: eta: 8:38:46 iter: 539 total_loss: 0.1347 loss_cls: 0.04433 loss_box_reg: 0.06856 loss_rpn_cls: 0.01727 loss_rpn_loc: 0.00213 loss_D_img_s: 0.0006854 time: 0.6551 last_time: 0.6982 data_time: 0.0242 last_data_time: 0.0137 lr: 0.010789 max_mem: 10548M +[04/09 20:23:34] d2.utils.events INFO: eta: 8:41:08 iter: 559 total_loss: 0.1449 loss_cls: 0.04533 loss_box_reg: 0.076 loss_rpn_cls: 0.01757 loss_rpn_loc: 0.002372 loss_D_img_s: 0.0006841 time: 0.6581 last_time: 0.7995 data_time: 0.0198 last_data_time: 0.0264 lr: 0.011189 max_mem: 10548M +[04/09 20:23:49] d2.utils.events INFO: eta: 8:44:11 iter: 579 total_loss: 0.1194 loss_cls: 0.03593 loss_box_reg: 0.06675 loss_rpn_cls: 0.0159 loss_rpn_loc: 0.001951 loss_D_img_s: 0.0006825 time: 0.6621 last_time: 0.7251 data_time: 0.0201 last_data_time: 0.0129 lr: 0.011588 max_mem: 10548M +[04/09 20:24:04] d2.utils.events INFO: eta: 8:47:04 iter: 599 total_loss: 0.1319 loss_cls: 0.04254 loss_box_reg: 0.07004 loss_rpn_cls: 0.01896 loss_rpn_loc: 0.00222 loss_D_img_s: 0.0006806 time: 0.6648 last_time: 0.7000 data_time: 0.0298 last_data_time: 0.0310 lr: 0.011988 max_mem: 10548M +[04/09 20:24:19] d2.utils.events INFO: eta: 8:53:24 iter: 619 total_loss: 0.1326 loss_cls: 0.04325 loss_box_reg: 0.0711 loss_rpn_cls: 0.01486 loss_rpn_loc: 0.002206 loss_D_img_s: 0.0006793 time: 0.6677 last_time: 0.7878 data_time: 0.0174 last_data_time: 0.0235 lr: 0.012388 max_mem: 10548M +[04/09 20:24:34] d2.utils.events INFO: eta: 9:00:49 iter: 639 total_loss: 0.1316 loss_cls: 0.0402 loss_box_reg: 0.07209 loss_rpn_cls: 0.01417 loss_rpn_loc: 0.00178 loss_D_img_s: 0.000678 time: 0.6701 last_time: 0.8518 data_time: 0.0273 last_data_time: 0.0202 lr: 0.012787 max_mem: 10548M +[04/09 20:24:49] d2.utils.events INFO: eta: 9:04:55 iter: 659 total_loss: 0.1273 loss_cls: 0.0338 loss_box_reg: 0.07026 loss_rpn_cls: 0.01814 loss_rpn_loc: 0.002 loss_D_img_s: 0.000676 time: 0.6730 last_time: 0.7225 data_time: 0.0172 last_data_time: 0.0179 lr: 0.013187 max_mem: 10548M +[04/09 20:25:05] d2.utils.events INFO: eta: 9:10:13 iter: 679 total_loss: 0.13 loss_cls: 0.03957 loss_box_reg: 0.07169 loss_rpn_cls: 0.01616 loss_rpn_loc: 0.002193 loss_D_img_s: 0.0006741 time: 0.6756 last_time: 0.7454 data_time: 0.0189 last_data_time: 0.0280 lr: 0.013586 max_mem: 10548M +[04/09 20:25:20] d2.utils.events INFO: eta: 9:12:59 iter: 699 total_loss: 0.1323 loss_cls: 0.03927 loss_box_reg: 0.07099 loss_rpn_cls: 0.01391 loss_rpn_loc: 0.002165 loss_D_img_s: 0.0006725 time: 0.6779 last_time: 0.7782 data_time: 0.0208 last_data_time: 0.0172 lr: 0.013986 max_mem: 10548M +[04/09 20:25:35] d2.utils.events INFO: eta: 9:16:10 iter: 719 total_loss: 0.1157 loss_cls: 0.03483 loss_box_reg: 0.06436 loss_rpn_cls: 0.01388 loss_rpn_loc: 0.002041 loss_D_img_s: 0.0006705 time: 0.6797 last_time: 0.7414 data_time: 0.0265 last_data_time: 0.0148 lr: 0.014386 max_mem: 10548M +[04/09 20:25:50] d2.utils.events INFO: eta: 9:18:56 iter: 739 total_loss: 0.1134 loss_cls: 0.03269 loss_box_reg: 0.06344 loss_rpn_cls: 0.01466 loss_rpn_loc: 0.002018 loss_D_img_s: 0.0006683 time: 0.6824 last_time: 0.7202 data_time: 0.0281 last_data_time: 0.0435 lr: 0.014785 max_mem: 10548M +[04/09 20:26:06] d2.utils.events INFO: eta: 9:21:30 iter: 759 total_loss: 0.1196 loss_cls: 0.03655 loss_box_reg: 0.06923 loss_rpn_cls: 0.01332 loss_rpn_loc: 0.002462 loss_D_img_s: 0.0006668 time: 0.6849 last_time: 0.7562 data_time: 0.0215 last_data_time: 0.0155 lr: 0.015185 max_mem: 10548M +[04/09 20:26:21] d2.utils.events INFO: eta: 9:24:16 iter: 779 total_loss: 0.1159 loss_cls: 0.03301 loss_box_reg: 0.06005 loss_rpn_cls: 0.01328 loss_rpn_loc: 0.001951 loss_D_img_s: 0.0006646 time: 0.6871 last_time: 0.8865 data_time: 0.0208 last_data_time: 0.0144 lr: 0.015584 max_mem: 10548M +[04/09 20:26:37] d2.utils.events INFO: eta: 9:26:53 iter: 799 total_loss: 0.1084 loss_cls: 0.03108 loss_box_reg: 0.06257 loss_rpn_cls: 0.01207 loss_rpn_loc: 0.002214 loss_D_img_s: 0.0006617 time: 0.6893 last_time: 0.7746 data_time: 0.0213 last_data_time: 0.0171 lr: 0.015984 max_mem: 10548M +[04/09 20:26:52] d2.utils.events INFO: eta: 9:29:21 iter: 819 total_loss: 0.1105 loss_cls: 0.03349 loss_box_reg: 0.0603 loss_rpn_cls: 0.01236 loss_rpn_loc: 0.001942 loss_D_img_s: 0.00066 time: 0.6912 last_time: 0.7226 data_time: 0.0291 last_data_time: 0.0144 lr: 0.016384 max_mem: 10548M +[04/09 20:27:07] d2.utils.events INFO: eta: 9:31:01 iter: 839 total_loss: 0.1168 loss_cls: 0.03887 loss_box_reg: 0.06616 loss_rpn_cls: 0.01065 loss_rpn_loc: 0.002063 loss_D_img_s: 0.0006577 time: 0.6926 last_time: 0.7604 data_time: 0.0268 last_data_time: 0.0444 lr: 0.016783 max_mem: 10548M +[04/09 20:27:22] d2.utils.events INFO: eta: 9:33:05 iter: 859 total_loss: 0.1134 loss_cls: 0.03576 loss_box_reg: 0.06666 loss_rpn_cls: 0.01188 loss_rpn_loc: 0.002047 loss_D_img_s: 0.0006547 time: 0.6941 last_time: 0.7534 data_time: 0.0290 last_data_time: 0.0160 lr: 0.017183 max_mem: 10548M +[04/09 20:27:38] d2.utils.events INFO: eta: 9:34:42 iter: 879 total_loss: 0.122 loss_cls: 0.03737 loss_box_reg: 0.06555 loss_rpn_cls: 0.01225 loss_rpn_loc: 0.00223 loss_D_img_s: 0.0006524 time: 0.6958 last_time: 0.7764 data_time: 0.0261 last_data_time: 0.0414 lr: 0.017582 max_mem: 10548M +[04/09 20:27:53] d2.utils.events INFO: eta: 9:36:56 iter: 899 total_loss: 0.116 loss_cls: 0.03524 loss_box_reg: 0.06549 loss_rpn_cls: 0.01296 loss_rpn_loc: 0.002255 loss_D_img_s: 0.0006499 time: 0.6971 last_time: 0.8091 data_time: 0.0291 last_data_time: 0.0153 lr: 0.017982 max_mem: 10548M +[04/09 20:28:08] d2.utils.events INFO: eta: 9:39:10 iter: 919 total_loss: 0.1142 loss_cls: 0.03711 loss_box_reg: 0.06018 loss_rpn_cls: 0.01158 loss_rpn_loc: 0.002161 loss_D_img_s: 0.0006465 time: 0.6984 last_time: 0.7501 data_time: 0.0299 last_data_time: 0.0157 lr: 0.018382 max_mem: 10548M +[04/09 20:28:24] d2.utils.events INFO: eta: 9:40:07 iter: 939 total_loss: 0.1103 loss_cls: 0.03492 loss_box_reg: 0.06171 loss_rpn_cls: 0.01048 loss_rpn_loc: 0.001754 loss_D_img_s: 0.0006444 time: 0.7002 last_time: 0.8498 data_time: 0.0231 last_data_time: 0.0154 lr: 0.018781 max_mem: 10548M +[04/09 20:28:39] d2.utils.events INFO: eta: 9:41:01 iter: 959 total_loss: 0.118 loss_cls: 0.03592 loss_box_reg: 0.06472 loss_rpn_cls: 0.011 loss_rpn_loc: 0.00226 loss_D_img_s: 0.0006408 time: 0.7021 last_time: 0.7746 data_time: 0.0222 last_data_time: 0.0169 lr: 0.019181 max_mem: 10548M +[04/09 20:28:55] d2.utils.events INFO: eta: 9:41:57 iter: 979 total_loss: 0.1091 loss_cls: 0.03216 loss_box_reg: 0.05955 loss_rpn_cls: 0.01029 loss_rpn_loc: 0.001924 loss_D_img_s: 0.0006377 time: 0.7035 last_time: 0.7663 data_time: 0.0222 last_data_time: 0.0167 lr: 0.01958 max_mem: 10548M +[04/09 20:29:10] d2.data.build INFO: Distribution of instances among all 1 categories: +| category | #instances | +|:----------:|:-------------| +| mal | 91 | +| | | +[04/09 20:29:10] d2.data.common INFO: Serializing the dataset using: +[04/09 20:29:10] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 20:29:10] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 20:29:10] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 20:29:10] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 20:29:11] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0060 s/iter. Inference: 0.0510 s/iter. Eval: 0.0002 s/iter. Total: 0.0571 s/iter. ETA=0:00:22 +[04/09 20:29:16] d2.evaluation.evaluator INFO: Inference done 85/410. Dataloading: 0.0114 s/iter. Inference: 0.0554 s/iter. Eval: 0.0003 s/iter. Total: 0.0672 s/iter. ETA=0:00:21 +[04/09 20:29:21] d2.evaluation.evaluator INFO: Inference done 161/410. Dataloading: 0.0116 s/iter. Inference: 0.0545 s/iter. Eval: 0.0003 s/iter. Total: 0.0665 s/iter. ETA=0:00:16 +[04/09 20:29:26] d2.evaluation.evaluator INFO: Inference done 235/410. Dataloading: 0.0118 s/iter. Inference: 0.0548 s/iter. Eval: 0.0003 s/iter. Total: 0.0670 s/iter. ETA=0:00:11 +[04/09 20:29:31] d2.evaluation.evaluator INFO: Inference done 312/410. Dataloading: 0.0111 s/iter. Inference: 0.0550 s/iter. Eval: 0.0003 s/iter. Total: 0.0665 s/iter. ETA=0:00:06 +[04/09 20:29:36] d2.evaluation.evaluator INFO: Inference done 389/410. Dataloading: 0.0113 s/iter. Inference: 0.0546 s/iter. Eval: 0.0003 s/iter. Total: 0.0662 s/iter. ETA=0:00:01 +[04/09 20:29:38] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.834066 (0.066257 s / iter per device, on 1 devices) +[04/09 20:29:38] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.054649 s / iter per device, on 1 devices) +[04/09 20:29:38] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 20:29:38] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 20:29:38] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 20:29:38] d2.evaluation.testing INFO: copypaste: 1.1978,6.9045,0.0899 +[04/09 20:29:38] d2.data.common INFO: Serializing the dataset using: +[04/09 20:29:38] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 20:29:38] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 20:29:38] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 20:29:38] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 20:29:41] d2.evaluation.evaluator INFO: Inference done 36/410. Dataloading: 0.0163 s/iter. Inference: 0.0506 s/iter. Eval: 0.0008 s/iter. Total: 0.0677 s/iter. ETA=0:00:25 +[04/09 20:29:46] d2.evaluation.evaluator INFO: Inference done 116/410. Dataloading: 0.0116 s/iter. Inference: 0.0514 s/iter. Eval: 0.0009 s/iter. Total: 0.0640 s/iter. ETA=0:00:18 +[04/09 20:29:51] d2.evaluation.evaluator INFO: Inference done 195/410. Dataloading: 0.0106 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0639 s/iter. ETA=0:00:13 +[04/09 20:29:56] d2.evaluation.evaluator INFO: Inference done 272/410. Dataloading: 0.0111 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0644 s/iter. ETA=0:00:08 +[04/09 20:30:01] d2.evaluation.evaluator INFO: Inference done 351/410. Dataloading: 0.0112 s/iter. Inference: 0.0521 s/iter. Eval: 0.0009 s/iter. Total: 0.0643 s/iter. ETA=0:00:03 +[04/09 20:30:05] d2.evaluation.evaluator INFO: Total inference time: 0:00:25.967493 (0.064117 s / iter per device, on 1 devices) +[04/09 20:30:05] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:21 (0.052198 s / iter per device, on 1 devices) +[04/09 20:30:10] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 20:30:10] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 20:30:10] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 20:30:10] d2.evaluation.testing INFO: copypaste: 0.0000,0.0000,0.0000 +[04/09 20:30:10] d2.utils.events INFO: eta: 9:42:57 iter: 999 total_loss: 0.1112 loss_cls: 0.03781 loss_box_reg: 0.05994 loss_rpn_cls: 0.01028 loss_rpn_loc: 0.001883 loss_D_img_s: 0.0006352 time: 0.7046 last_time: 0.7781 data_time: 0.0179 last_data_time: 0.0238 lr: 0.01998 max_mem: 10548M +[04/09 20:30:24] d2.utils.events INFO: eta: 9:43:50 iter: 1019 total_loss: 0.1127 loss_cls: 0.03785 loss_box_reg: 0.06291 loss_rpn_cls: 0.01033 loss_rpn_loc: 0.001955 loss_D_img_s: 0.0006308 time: 0.7042 last_time: 0.7543 data_time: 0.0234 last_data_time: 0.0170 lr: 0.02 max_mem: 10548M +[04/09 20:30:39] d2.utils.events INFO: eta: 9:45:27 iter: 1039 total_loss: 0.1112 loss_cls: 0.03205 loss_box_reg: 0.06272 loss_rpn_cls: 0.01019 loss_rpn_loc: 0.002324 loss_D_img_s: 0.000628 time: 0.7052 last_time: 0.6841 data_time: 0.0227 last_data_time: 0.0160 lr: 0.02 max_mem: 10548M +[04/09 20:30:54] d2.utils.events INFO: eta: 9:45:59 iter: 1059 total_loss: 0.1115 loss_cls: 0.03056 loss_box_reg: 0.06867 loss_rpn_cls: 0.00835 loss_rpn_loc: 0.001873 loss_D_img_s: 0.0006244 time: 0.7056 last_time: 0.7663 data_time: 0.0238 last_data_time: 0.0173 lr: 0.02 max_mem: 10548M +[04/09 20:31:10] d2.utils.events INFO: eta: 9:47:31 iter: 1079 total_loss: 0.1067 loss_cls: 0.03145 loss_box_reg: 0.06172 loss_rpn_cls: 0.008881 loss_rpn_loc: 0.002281 loss_D_img_s: 0.0006203 time: 0.7074 last_time: 0.8030 data_time: 0.0301 last_data_time: 0.0149 lr: 0.02 max_mem: 10548M +[04/09 20:31:26] d2.utils.events INFO: eta: 9:50:07 iter: 1099 total_loss: 0.09227 loss_cls: 0.02892 loss_box_reg: 0.05526 loss_rpn_cls: 0.007655 loss_rpn_loc: 0.00155 loss_D_img_s: 0.0006163 time: 0.7090 last_time: 0.7997 data_time: 0.0351 last_data_time: 0.2512 lr: 0.02 max_mem: 10548M +[04/09 20:31:41] d2.utils.events INFO: eta: 9:51:52 iter: 1119 total_loss: 0.1131 loss_cls: 0.03568 loss_box_reg: 0.06686 loss_rpn_cls: 0.009123 loss_rpn_loc: 0.002403 loss_D_img_s: 0.0006123 time: 0.7101 last_time: 0.8224 data_time: 0.0250 last_data_time: 0.0201 lr: 0.02 max_mem: 10548M +[04/09 20:31:57] d2.utils.events INFO: eta: 9:53:06 iter: 1139 total_loss: 0.1066 loss_cls: 0.03012 loss_box_reg: 0.06337 loss_rpn_cls: 0.009587 loss_rpn_loc: 0.001906 loss_D_img_s: 0.0006081 time: 0.7119 last_time: 0.7161 data_time: 0.0182 last_data_time: 0.0232 lr: 0.02 max_mem: 10548M +[04/09 20:32:12] d2.utils.events INFO: eta: 9:53:52 iter: 1159 total_loss: 0.09931 loss_cls: 0.02626 loss_box_reg: 0.06142 loss_rpn_cls: 0.006693 loss_rpn_loc: 0.001934 loss_D_img_s: 0.0006022 time: 0.7120 last_time: 0.7483 data_time: 0.0187 last_data_time: 0.0150 lr: 0.02 max_mem: 10548M +[04/09 20:32:27] d2.utils.events INFO: eta: 9:55:55 iter: 1179 total_loss: 0.1056 loss_cls: 0.02908 loss_box_reg: 0.06099 loss_rpn_cls: 0.008113 loss_rpn_loc: 0.001814 loss_D_img_s: 0.0005987 time: 0.7131 last_time: 0.7283 data_time: 0.0263 last_data_time: 0.0162 lr: 0.02 max_mem: 10548M +[04/09 20:32:43] d2.utils.events INFO: eta: 9:57:14 iter: 1199 total_loss: 0.09974 loss_cls: 0.03039 loss_box_reg: 0.05611 loss_rpn_cls: 0.007912 loss_rpn_loc: 0.002484 loss_D_img_s: 0.0005936 time: 0.7143 last_time: 0.8061 data_time: 0.0213 last_data_time: 0.0336 lr: 0.02 max_mem: 10548M +[04/09 20:32:58] d2.utils.events INFO: eta: 9:59:14 iter: 1219 total_loss: 0.09772 loss_cls: 0.02849 loss_box_reg: 0.05819 loss_rpn_cls: 0.006647 loss_rpn_loc: 0.001562 loss_D_img_s: 0.0005894 time: 0.7151 last_time: 0.7124 data_time: 0.0174 last_data_time: 0.0171 lr: 0.02 max_mem: 10548M +[04/09 20:33:14] d2.utils.events INFO: eta: 9:59:48 iter: 1239 total_loss: 0.09046 loss_cls: 0.02744 loss_box_reg: 0.05554 loss_rpn_cls: 0.00732 loss_rpn_loc: 0.00194 loss_D_img_s: 0.0005829 time: 0.7162 last_time: 0.6978 data_time: 0.0201 last_data_time: 0.0288 lr: 0.02 max_mem: 10548M +[04/09 20:33:29] d2.utils.events INFO: eta: 10:01:25 iter: 1259 total_loss: 0.09123 loss_cls: 0.02647 loss_box_reg: 0.05766 loss_rpn_cls: 0.0062 loss_rpn_loc: 0.001733 loss_D_img_s: 0.0005778 time: 0.7172 last_time: 0.7869 data_time: 0.0244 last_data_time: 0.0219 lr: 0.02 max_mem: 10548M +[04/09 20:33:44] d2.utils.events INFO: eta: 10:01:49 iter: 1279 total_loss: 0.08863 loss_cls: 0.02512 loss_box_reg: 0.05569 loss_rpn_cls: 0.005322 loss_rpn_loc: 0.001609 loss_D_img_s: 0.0005726 time: 0.7174 last_time: 0.7933 data_time: 0.0258 last_data_time: 0.0390 lr: 0.02 max_mem: 10548M +[04/09 20:33:59] d2.utils.events INFO: eta: 10:03:09 iter: 1299 total_loss: 0.09466 loss_cls: 0.02464 loss_box_reg: 0.05564 loss_rpn_cls: 0.006141 loss_rpn_loc: 0.002045 loss_D_img_s: 0.0005654 time: 0.7182 last_time: 0.7364 data_time: 0.0237 last_data_time: 0.1116 lr: 0.02 max_mem: 10548M +[04/09 20:34:15] d2.utils.events INFO: eta: 10:04:27 iter: 1319 total_loss: 0.08577 loss_cls: 0.02265 loss_box_reg: 0.05346 loss_rpn_cls: 0.005982 loss_rpn_loc: 0.002042 loss_D_img_s: 0.00056 time: 0.7191 last_time: 0.8263 data_time: 0.0220 last_data_time: 0.0151 lr: 0.02 max_mem: 10548M +[04/09 20:34:31] d2.utils.events INFO: eta: 10:06:02 iter: 1339 total_loss: 0.08996 loss_cls: 0.02526 loss_box_reg: 0.05322 loss_rpn_cls: 0.007533 loss_rpn_loc: 0.002258 loss_D_img_s: 0.000553 time: 0.7199 last_time: 0.7228 data_time: 0.0281 last_data_time: 0.0156 lr: 0.02 max_mem: 10548M +[04/09 20:34:46] d2.utils.events INFO: eta: 10:06:47 iter: 1359 total_loss: 0.1013 loss_cls: 0.02999 loss_box_reg: 0.06161 loss_rpn_cls: 0.007021 loss_rpn_loc: 0.001906 loss_D_img_s: 0.000547 time: 0.7204 last_time: 0.8564 data_time: 0.0272 last_data_time: 0.0338 lr: 0.02 max_mem: 10548M +[04/09 20:35:02] d2.utils.events INFO: eta: 10:08:17 iter: 1379 total_loss: 0.09102 loss_cls: 0.02751 loss_box_reg: 0.05722 loss_rpn_cls: 0.007976 loss_rpn_loc: 0.001542 loss_D_img_s: 0.0005397 time: 0.7216 last_time: 0.7739 data_time: 0.0203 last_data_time: 0.0169 lr: 0.02 max_mem: 10548M +[04/09 20:35:17] d2.utils.events INFO: eta: 10:10:00 iter: 1399 total_loss: 0.09486 loss_cls: 0.02772 loss_box_reg: 0.05422 loss_rpn_cls: 0.007676 loss_rpn_loc: 0.001868 loss_D_img_s: 0.0005321 time: 0.7224 last_time: 0.7932 data_time: 0.0324 last_data_time: 0.0601 lr: 0.02 max_mem: 10548M +[04/09 20:35:32] d2.utils.events INFO: eta: 10:10:09 iter: 1419 total_loss: 0.08622 loss_cls: 0.02299 loss_box_reg: 0.05472 loss_rpn_cls: 0.006008 loss_rpn_loc: 0.001725 loss_D_img_s: 0.0005212 time: 0.7229 last_time: 0.7194 data_time: 0.0284 last_data_time: 0.0270 lr: 0.02 max_mem: 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loss_rpn_cls: 0.005321 loss_rpn_loc: 0.001616 loss_D_img_s: 0.000485 time: 0.7257 last_time: 0.7720 data_time: 0.0190 last_data_time: 0.0340 lr: 0.02 max_mem: 10548M +[04/09 20:36:51] d2.utils.events INFO: eta: 10:11:43 iter: 1519 total_loss: 0.08427 loss_cls: 0.02378 loss_box_reg: 0.04671 loss_rpn_cls: 0.005394 loss_rpn_loc: 0.001333 loss_D_img_s: 0.0004767 time: 0.7268 last_time: 0.7482 data_time: 0.0197 last_data_time: 0.0150 lr: 0.02 max_mem: 10548M +[04/09 20:37:06] d2.utils.events INFO: eta: 10:12:16 iter: 1539 total_loss: 0.09521 loss_cls: 0.02535 loss_box_reg: 0.05919 loss_rpn_cls: 0.006697 loss_rpn_loc: 0.002407 loss_D_img_s: 0.0004648 time: 0.7272 last_time: 0.7166 data_time: 0.0178 last_data_time: 0.0149 lr: 0.02 max_mem: 10548M +[04/09 20:37:21] d2.utils.events INFO: eta: 10:12:17 iter: 1559 total_loss: 0.07794 loss_cls: 0.02207 loss_box_reg: 0.04904 loss_rpn_cls: 0.005229 loss_rpn_loc: 0.00157 loss_D_img_s: 0.000455 time: 0.7277 last_time: 0.7866 data_time: 0.0299 last_data_time: 0.0181 lr: 0.02 max_mem: 10548M +[04/09 20:37:37] d2.utils.events INFO: eta: 10:12:46 iter: 1579 total_loss: 0.07776 loss_cls: 0.02118 loss_box_reg: 0.05009 loss_rpn_cls: 0.004235 loss_rpn_loc: 0.001552 loss_D_img_s: 0.0004409 time: 0.7282 last_time: 0.7366 data_time: 0.0171 last_data_time: 0.0142 lr: 0.02 max_mem: 10548M +[04/09 20:37:52] d2.utils.events INFO: eta: 10:13:01 iter: 1599 total_loss: 0.08305 loss_cls: 0.01918 loss_box_reg: 0.05276 loss_rpn_cls: 0.005608 loss_rpn_loc: 0.001994 loss_D_img_s: 0.000429 time: 0.7287 last_time: 0.7272 data_time: 0.0188 last_data_time: 0.0144 lr: 0.02 max_mem: 10548M +[04/09 20:38:07] d2.utils.events INFO: eta: 10:13:28 iter: 1619 total_loss: 0.08467 loss_cls: 0.02324 loss_box_reg: 0.04914 loss_rpn_cls: 0.005063 loss_rpn_loc: 0.002087 loss_D_img_s: 0.0004193 time: 0.7293 last_time: 0.7262 data_time: 0.0168 last_data_time: 0.0142 lr: 0.02 max_mem: 10548M +[04/09 20:38:23] d2.utils.events INFO: eta: 10:13:12 iter: 1639 total_loss: 0.07958 loss_cls: 0.02425 loss_box_reg: 0.04833 loss_rpn_cls: 0.006267 loss_rpn_loc: 0.001599 loss_D_img_s: 0.0004063 time: 0.7297 last_time: 0.7257 data_time: 0.0176 last_data_time: 0.0197 lr: 0.02 max_mem: 10548M +[04/09 20:38:39] d2.utils.events INFO: eta: 10:13:37 iter: 1659 total_loss: 0.07534 loss_cls: 0.02102 loss_box_reg: 0.0483 loss_rpn_cls: 0.005894 loss_rpn_loc: 0.001724 loss_D_img_s: 0.000394 time: 0.7306 last_time: 0.8693 data_time: 0.0324 last_data_time: 0.0550 lr: 0.02 max_mem: 10548M +[04/09 20:38:56] d2.utils.events INFO: eta: 10:14:16 iter: 1679 total_loss: 0.07002 loss_cls: 0.01824 loss_box_reg: 0.04522 loss_rpn_cls: 0.004075 loss_rpn_loc: 0.001559 loss_D_img_s: 0.0003762 time: 0.7324 last_time: 0.8116 data_time: 0.0286 last_data_time: 0.0161 lr: 0.02 max_mem: 10548M +[04/09 20:39:14] d2.utils.events INFO: eta: 10:15:54 iter: 1699 total_loss: 0.08629 loss_cls: 0.02753 loss_box_reg: 0.053 loss_rpn_cls: 0.007467 loss_rpn_loc: 0.002057 loss_D_img_s: 0.0003608 time: 0.7342 last_time: 0.8526 data_time: 0.0308 last_data_time: 0.0357 lr: 0.02 max_mem: 10548M +[04/09 20:39:31] d2.utils.events INFO: eta: 10:17:29 iter: 1719 total_loss: 0.07613 loss_cls: 0.02106 loss_box_reg: 0.04648 loss_rpn_cls: 0.004638 loss_rpn_loc: 0.001482 loss_D_img_s: 0.0003473 time: 0.7357 last_time: 0.8547 data_time: 0.0285 last_data_time: 0.0462 lr: 0.02 max_mem: 10548M +[04/09 20:39:49] d2.utils.events INFO: eta: 10:18:33 iter: 1739 total_loss: 0.07519 loss_cls: 0.02048 loss_box_reg: 0.04574 loss_rpn_cls: 0.005339 loss_rpn_loc: 0.001719 loss_D_img_s: 0.0003352 time: 0.7372 last_time: 0.9842 data_time: 0.0323 last_data_time: 0.0273 lr: 0.02 max_mem: 10548M +[04/09 20:40:07] d2.utils.events INFO: eta: 10:19:47 iter: 1759 total_loss: 0.07561 loss_cls: 0.01765 loss_box_reg: 0.04895 loss_rpn_cls: 0.00543 loss_rpn_loc: 0.001598 loss_D_img_s: 0.0003145 time: 0.7390 last_time: 0.9094 data_time: 0.0246 last_data_time: 0.0392 lr: 0.02 max_mem: 10548M +[04/09 20:40:24] d2.utils.events INFO: eta: 10:21:06 iter: 1779 total_loss: 0.07474 loss_cls: 0.02082 loss_box_reg: 0.04818 loss_rpn_cls: 0.004834 loss_rpn_loc: 0.001622 loss_D_img_s: 0.0002997 time: 0.7406 last_time: 0.8787 data_time: 0.0256 last_data_time: 0.0148 lr: 0.02 max_mem: 10548M +[04/09 20:40:42] d2.utils.events INFO: eta: 10:21:29 iter: 1799 total_loss: 0.07087 loss_cls: 0.01837 loss_box_reg: 0.04289 loss_rpn_cls: 0.003651 loss_rpn_loc: 0.001588 loss_D_img_s: 0.0002814 time: 0.7422 last_time: 0.8988 data_time: 0.0271 last_data_time: 0.0188 lr: 0.02 max_mem: 10548M +[04/09 20:40:59] d2.utils.events INFO: eta: 10:22:32 iter: 1819 total_loss: 0.07388 loss_cls: 0.01997 loss_box_reg: 0.04564 loss_rpn_cls: 0.005189 loss_rpn_loc: 0.00193 loss_D_img_s: 0.0002676 time: 0.7436 last_time: 0.8536 data_time: 0.0231 last_data_time: 0.0230 lr: 0.02 max_mem: 10548M +[04/09 20:41:17] d2.utils.events INFO: eta: 10:24:04 iter: 1839 total_loss: 0.06799 loss_cls: 0.01771 loss_box_reg: 0.04626 loss_rpn_cls: 0.004417 loss_rpn_loc: 0.00179 loss_D_img_s: 0.0002551 time: 0.7449 last_time: 0.8215 data_time: 0.0221 last_data_time: 0.0143 lr: 0.02 max_mem: 10548M +[04/09 20:41:34] d2.utils.events INFO: eta: 10:25:31 iter: 1859 total_loss: 0.07738 loss_cls: 0.02044 loss_box_reg: 0.04558 loss_rpn_cls: 0.005554 loss_rpn_loc: 0.001556 loss_D_img_s: 0.000242 time: 0.7463 last_time: 0.8949 data_time: 0.0273 last_data_time: 0.0175 lr: 0.02 max_mem: 10548M +[04/09 20:41:52] d2.utils.events INFO: eta: 10:26:34 iter: 1879 total_loss: 0.07218 loss_cls: 0.01876 loss_box_reg: 0.04533 loss_rpn_cls: 0.004452 loss_rpn_loc: 0.001556 loss_D_img_s: 0.0002269 time: 0.7476 last_time: 0.8475 data_time: 0.0284 last_data_time: 0.0282 lr: 0.02 max_mem: 10548M +[04/09 20:42:09] d2.utils.events INFO: eta: 10:29:42 iter: 1899 total_loss: 0.06759 loss_cls: 0.01902 loss_box_reg: 0.04108 loss_rpn_cls: 0.004678 loss_rpn_loc: 0.002104 loss_D_img_s: 0.0002115 time: 0.7491 last_time: 0.8643 data_time: 0.0247 last_data_time: 0.0281 lr: 0.02 max_mem: 10548M +[04/09 20:42:27] d2.utils.events INFO: eta: 10:31:11 iter: 1919 total_loss: 0.06413 loss_cls: 0.01837 loss_box_reg: 0.03903 loss_rpn_cls: 0.004221 loss_rpn_loc: 0.00137 loss_D_img_s: 0.0001997 time: 0.7504 last_time: 0.8454 data_time: 0.0314 last_data_time: 0.0173 lr: 0.02 max_mem: 10548M +[04/09 20:42:44] d2.utils.events INFO: eta: 10:33:50 iter: 1939 total_loss: 0.06778 loss_cls: 0.01814 loss_box_reg: 0.04426 loss_rpn_cls: 0.005345 loss_rpn_loc: 0.001449 loss_D_img_s: 0.0001882 time: 0.7515 last_time: 0.9997 data_time: 0.0234 last_data_time: 0.0208 lr: 0.02 max_mem: 10548M +[04/09 20:43:02] d2.utils.events INFO: eta: 10:34:49 iter: 1959 total_loss: 0.06432 loss_cls: 0.0172 loss_box_reg: 0.03915 loss_rpn_cls: 0.004595 loss_rpn_loc: 0.001471 loss_D_img_s: 0.0001728 time: 0.7529 last_time: 0.8550 data_time: 0.0334 last_data_time: 0.0590 lr: 0.02 max_mem: 10548M +[04/09 20:43:18] d2.utils.events INFO: eta: 10:36:58 iter: 1979 total_loss: 0.06436 loss_cls: 0.01546 loss_box_reg: 0.03946 loss_rpn_cls: 0.003317 loss_rpn_loc: 0.001556 loss_D_img_s: 0.0001651 time: 0.7537 last_time: 0.8065 data_time: 0.0253 last_data_time: 0.0146 lr: 0.02 max_mem: 10548M +[04/09 20:43:35] d2.data.common INFO: Serializing the dataset using: +[04/09 20:43:35] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 20:43:35] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 20:43:35] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 20:43:35] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 20:43:36] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0184 s/iter. Inference: 0.0660 s/iter. Eval: 0.0002 s/iter. Total: 0.0846 s/iter. ETA=0:00:33 +[04/09 20:43:41] d2.evaluation.evaluator INFO: Inference done 75/410. Dataloading: 0.0150 s/iter. Inference: 0.0636 s/iter. Eval: 0.0002 s/iter. Total: 0.0789 s/iter. ETA=0:00:26 +[04/09 20:43:46] d2.evaluation.evaluator INFO: Inference done 139/410. Dataloading: 0.0154 s/iter. Inference: 0.0636 s/iter. Eval: 0.0002 s/iter. Total: 0.0793 s/iter. ETA=0:00:21 +[04/09 20:43:51] d2.evaluation.evaluator INFO: Inference done 205/410. Dataloading: 0.0142 s/iter. Inference: 0.0638 s/iter. Eval: 0.0003 s/iter. Total: 0.0783 s/iter. ETA=0:00:16 +[04/09 20:43:56] d2.evaluation.evaluator INFO: Inference done 267/410. Dataloading: 0.0128 s/iter. Inference: 0.0658 s/iter. Eval: 0.0002 s/iter. Total: 0.0789 s/iter. ETA=0:00:11 +[04/09 20:44:01] d2.evaluation.evaluator INFO: Inference done 331/410. Dataloading: 0.0126 s/iter. Inference: 0.0660 s/iter. Eval: 0.0003 s/iter. Total: 0.0790 s/iter. ETA=0:00:06 +[04/09 20:44:07] d2.evaluation.evaluator INFO: Inference done 400/410. Dataloading: 0.0113 s/iter. Inference: 0.0663 s/iter. Eval: 0.0003 s/iter. Total: 0.0779 s/iter. ETA=0:00:00 +[04/09 20:44:07] d2.evaluation.evaluator INFO: Total inference time: 0:00:31.649344 (0.078147 s / iter per device, on 1 devices) +[04/09 20:44:07] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:26 (0.066277 s / iter per device, on 1 devices) +[04/09 20:44:08] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 20:44:08] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 20:44:08] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 20:44:08] d2.evaluation.testing INFO: copypaste: 1.1589,6.1520,0.0299 +[04/09 20:44:08] d2.data.common INFO: Serializing the dataset using: +[04/09 20:44:08] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 20:44:08] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 20:44:08] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 20:44:08] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 20:44:12] d2.evaluation.evaluator INFO: Inference done 45/410. Dataloading: 0.0127 s/iter. Inference: 0.0612 s/iter. Eval: 0.0011 s/iter. Total: 0.0751 s/iter. ETA=0:00:27 +[04/09 20:44:17] d2.evaluation.evaluator INFO: Inference done 110/410. Dataloading: 0.0107 s/iter. Inference: 0.0648 s/iter. Eval: 0.0011 s/iter. Total: 0.0766 s/iter. ETA=0:00:22 +[04/09 20:44:22] d2.evaluation.evaluator INFO: Inference done 180/410. Dataloading: 0.0092 s/iter. Inference: 0.0646 s/iter. Eval: 0.0010 s/iter. Total: 0.0747 s/iter. ETA=0:00:17 +[04/09 20:44:27] d2.evaluation.evaluator INFO: Inference done 246/410. Dataloading: 0.0082 s/iter. Inference: 0.0660 s/iter. Eval: 0.0009 s/iter. Total: 0.0752 s/iter. ETA=0:00:12 +[04/09 20:44:32] d2.evaluation.evaluator INFO: Inference done 315/410. Dataloading: 0.0076 s/iter. Inference: 0.0660 s/iter. Eval: 0.0009 s/iter. Total: 0.0746 s/iter. ETA=0:00:07 +[04/09 20:44:37] d2.evaluation.evaluator INFO: Inference done 383/410. Dataloading: 0.0072 s/iter. Inference: 0.0663 s/iter. Eval: 0.0009 s/iter. Total: 0.0746 s/iter. ETA=0:00:02 +[04/09 20:44:39] d2.evaluation.evaluator INFO: Total inference time: 0:00:30.112063 (0.074351 s / iter per device, on 1 devices) +[04/09 20:44:39] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:26 (0.066079 s / iter per device, on 1 devices) +[04/09 20:44:45] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 20:44:45] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 20:44:45] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 20:44:45] d2.evaluation.testing INFO: copypaste: 0.0000,0.0000,0.0000 +[04/09 20:44:45] d2.utils.events INFO: eta: 10:39:40 iter: 1999 total_loss: 0.06597 loss_cls: 0.01773 loss_box_reg: 0.04103 loss_rpn_cls: 0.004647 loss_rpn_loc: 0.00155 loss_D_img_s: 0.0001544 time: 0.7544 last_time: 0.8150 data_time: 0.0335 last_data_time: 0.0156 lr: 0.02 max_mem: 10548M +[04/09 20:45:01] d2.utils.events INFO: eta: 10:41:42 iter: 2019 total_loss: 0.06333 loss_cls: 0.01761 loss_box_reg: 0.0398 loss_rpn_cls: 0.004969 loss_rpn_loc: 0.0016 loss_D_img_s: 0.0001447 time: 0.7548 last_time: 0.8168 data_time: 0.0297 last_data_time: 0.0224 lr: 0.02 max_mem: 10548M +[04/09 20:45:18] d2.utils.events INFO: eta: 10:43:01 iter: 2039 total_loss: 0.06206 loss_cls: 0.01701 loss_box_reg: 0.04064 loss_rpn_cls: 0.004404 loss_rpn_loc: 0.001788 loss_D_img_s: 0.0001359 time: 0.7558 last_time: 0.8285 data_time: 0.0307 last_data_time: 0.0337 lr: 0.02 max_mem: 10548M +[04/09 20:45:34] d2.utils.events INFO: eta: 10:42:55 iter: 2059 total_loss: 0.06267 loss_cls: 0.0155 loss_box_reg: 0.04127 loss_rpn_cls: 0.003924 loss_rpn_loc: 0.00142 loss_D_img_s: 0.0001273 time: 0.7559 last_time: 0.7649 data_time: 0.0294 last_data_time: 0.1124 lr: 0.02 max_mem: 10548M +[04/09 20:45:49] d2.utils.events INFO: eta: 10:42:35 iter: 2079 total_loss: 0.06182 loss_cls: 0.01538 loss_box_reg: 0.04019 loss_rpn_cls: 0.003678 loss_rpn_loc: 0.001453 loss_D_img_s: 0.0001191 time: 0.7562 last_time: 0.8621 data_time: 0.0243 last_data_time: 0.0161 lr: 0.02 max_mem: 10548M +[04/09 20:46:06] d2.utils.events INFO: eta: 10:42:33 iter: 2099 total_loss: 0.06806 loss_cls: 0.01975 loss_box_reg: 0.04033 loss_rpn_cls: 0.003632 loss_rpn_loc: 0.001055 loss_D_img_s: 0.0001117 time: 0.7567 last_time: 0.8419 data_time: 0.0222 last_data_time: 0.0163 lr: 0.02 max_mem: 10548M +[04/09 20:46:21] d2.utils.events INFO: eta: 10:42:21 iter: 2119 total_loss: 0.05958 loss_cls: 0.01605 loss_box_reg: 0.03801 loss_rpn_cls: 0.004205 loss_rpn_loc: 0.001583 loss_D_img_s: 0.0001067 time: 0.7568 last_time: 0.7645 data_time: 0.0176 last_data_time: 0.0136 lr: 0.02 max_mem: 10548M +[04/09 20:46:36] d2.utils.events INFO: eta: 10:41:35 iter: 2139 total_loss: 0.05632 loss_cls: 0.01511 loss_box_reg: 0.03755 loss_rpn_cls: 0.003458 loss_rpn_loc: 0.001252 loss_D_img_s: 0.0001016 time: 0.7569 last_time: 0.7263 data_time: 0.0162 last_data_time: 0.0154 lr: 0.02 max_mem: 10548M +[04/09 20:46:52] d2.utils.events INFO: eta: 10:41:34 iter: 2159 total_loss: 0.06412 loss_cls: 0.01675 loss_box_reg: 0.03924 loss_rpn_cls: 0.004202 loss_rpn_loc: 0.001555 loss_D_img_s: 9.517e-05 time: 0.7571 last_time: 0.7355 data_time: 0.0185 last_data_time: 0.0192 lr: 0.02 max_mem: 10548M +[04/09 20:47:08] d2.utils.events INFO: eta: 10:41:18 iter: 2179 total_loss: 0.06049 loss_cls: 0.01375 loss_box_reg: 0.03967 loss_rpn_cls: 0.004999 loss_rpn_loc: 0.001591 loss_D_img_s: 9.091e-05 time: 0.7574 last_time: 0.8177 data_time: 0.0223 last_data_time: 0.0399 lr: 0.02 max_mem: 10548M +[04/09 20:47:23] d2.utils.events INFO: eta: 10:40:42 iter: 2199 total_loss: 0.06316 loss_cls: 0.01749 loss_box_reg: 0.04166 loss_rpn_cls: 0.0034 loss_rpn_loc: 0.001365 loss_D_img_s: 8.61e-05 time: 0.7576 last_time: 0.7686 data_time: 0.0223 last_data_time: 0.0430 lr: 0.02 max_mem: 10548M +[04/09 20:47:39] d2.utils.events INFO: eta: 10:40:52 iter: 2219 total_loss: 0.07171 loss_cls: 0.01999 loss_box_reg: 0.04399 loss_rpn_cls: 0.004223 loss_rpn_loc: 0.001706 loss_D_img_s: 8.053e-05 time: 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INFO: eta: 10:39:48 iter: 2299 total_loss: 0.07107 loss_cls: 0.01874 loss_box_reg: 0.04106 loss_rpn_cls: 0.005251 loss_rpn_loc: 0.001961 loss_D_img_s: 6.594e-05 time: 0.7591 last_time: 0.7671 data_time: 0.0215 last_data_time: 0.0195 lr: 0.02 max_mem: 10548M +[04/09 20:48:58] d2.utils.events INFO: eta: 10:39:11 iter: 2319 total_loss: 0.06523 loss_cls: 0.01703 loss_box_reg: 0.03937 loss_rpn_cls: 0.003599 loss_rpn_loc: 0.001519 loss_D_img_s: 6.402e-05 time: 0.7592 last_time: 0.7983 data_time: 0.0204 last_data_time: 0.0195 lr: 0.02 max_mem: 10548M +[04/09 20:49:14] d2.utils.events INFO: eta: 10:39:02 iter: 2339 total_loss: 0.06134 loss_cls: 0.01426 loss_box_reg: 0.03794 loss_rpn_cls: 0.003528 loss_rpn_loc: 0.001546 loss_D_img_s: 6.078e-05 time: 0.7596 last_time: 0.7868 data_time: 0.0221 last_data_time: 0.0298 lr: 0.02 max_mem: 10548M +[04/09 20:49:30] d2.utils.events INFO: eta: 10:39:05 iter: 2359 total_loss: 0.06856 loss_cls: 0.01871 loss_box_reg: 0.04273 loss_rpn_cls: 0.003792 loss_rpn_loc: 0.001628 loss_D_img_s: 5.744e-05 time: 0.7599 last_time: 0.8209 data_time: 0.0202 last_data_time: 0.0140 lr: 0.02 max_mem: 10548M +[04/09 20:49:45] d2.utils.events INFO: eta: 10:38:49 iter: 2379 total_loss: 0.06468 loss_cls: 0.01654 loss_box_reg: 0.0378 loss_rpn_cls: 0.005045 loss_rpn_loc: 0.001544 loss_D_img_s: 5.738e-05 time: 0.7600 last_time: 0.7523 data_time: 0.0222 last_data_time: 0.0157 lr: 0.02 max_mem: 10548M +[04/09 20:50:01] d2.utils.events INFO: eta: 10:38:45 iter: 2399 total_loss: 0.05252 loss_cls: 0.01492 loss_box_reg: 0.03311 loss_rpn_cls: 0.00389 loss_rpn_loc: 0.001509 loss_D_img_s: 5.449e-05 time: 0.7603 last_time: 0.7573 data_time: 0.0225 last_data_time: 0.0174 lr: 0.02 max_mem: 10548M +[04/09 20:50:18] d2.utils.events INFO: eta: 10:38:59 iter: 2419 total_loss: 0.06708 loss_cls: 0.01667 loss_box_reg: 0.04125 loss_rpn_cls: 0.004732 loss_rpn_loc: 0.001481 loss_D_img_s: 5.239e-05 time: 0.7609 last_time: 0.7279 data_time: 0.0228 last_data_time: 0.0330 lr: 0.02 max_mem: 10548M +[04/09 20:50:34] d2.utils.events INFO: eta: 10:38:40 iter: 2439 total_loss: 0.06394 loss_cls: 0.01806 loss_box_reg: 0.03799 loss_rpn_cls: 0.00363 loss_rpn_loc: 0.001463 loss_D_img_s: 5.053e-05 time: 0.7614 last_time: 0.7648 data_time: 0.0253 last_data_time: 0.0157 lr: 0.02 max_mem: 10548M +[04/09 20:50:50] d2.utils.events INFO: eta: 10:37:26 iter: 2459 total_loss: 0.05974 loss_cls: 0.0154 loss_box_reg: 0.03661 loss_rpn_cls: 0.003489 loss_rpn_loc: 0.001656 loss_D_img_s: 4.722e-05 time: 0.7615 last_time: 0.8026 data_time: 0.0195 last_data_time: 0.0142 lr: 0.02 max_mem: 10548M +[04/09 20:51:06] d2.utils.events INFO: eta: 10:37:54 iter: 2479 total_loss: 0.05614 loss_cls: 0.01404 loss_box_reg: 0.03537 loss_rpn_cls: 0.003044 loss_rpn_loc: 0.001411 loss_D_img_s: 4.604e-05 time: 0.7616 last_time: 0.6581 data_time: 0.0309 last_data_time: 0.0235 lr: 0.02 max_mem: 10548M +[04/09 20:51:21] d2.utils.events INFO: eta: 10:38:05 iter: 2499 total_loss: 0.06059 loss_cls: 0.01665 loss_box_reg: 0.03506 loss_rpn_cls: 0.004163 loss_rpn_loc: 0.001345 loss_D_img_s: 4.328e-05 time: 0.7619 last_time: 0.7835 data_time: 0.0234 last_data_time: 0.0168 lr: 0.02 max_mem: 10548M +[04/09 20:51:37] d2.utils.events INFO: eta: 10:37:33 iter: 2519 total_loss: 0.05444 loss_cls: 0.01331 loss_box_reg: 0.03308 loss_rpn_cls: 0.004118 loss_rpn_loc: 0.001498 loss_D_img_s: 4.333e-05 time: 0.7621 last_time: 0.8178 data_time: 0.0202 last_data_time: 0.0176 lr: 0.02 max_mem: 10548M +[04/09 20:51:53] d2.utils.events INFO: eta: 10:38:28 iter: 2539 total_loss: 0.05286 loss_cls: 0.0139 loss_box_reg: 0.03483 loss_rpn_cls: 0.00327 loss_rpn_loc: 0.001204 loss_D_img_s: 4.243e-05 time: 0.7625 last_time: 0.7495 data_time: 0.0233 last_data_time: 0.0194 lr: 0.02 max_mem: 10548M +[04/09 20:52:10] d2.utils.events INFO: eta: 10:39:14 iter: 2559 total_loss: 0.06236 loss_cls: 0.01826 loss_box_reg: 0.038 loss_rpn_cls: 0.003514 loss_rpn_loc: 0.00148 loss_D_img_s: 3.932e-05 time: 0.7628 last_time: 0.8394 data_time: 0.0235 last_data_time: 0.0145 lr: 0.02 max_mem: 10548M +[04/09 20:52:25] d2.utils.events INFO: eta: 10:39:30 iter: 2579 total_loss: 0.05646 loss_cls: 0.01373 loss_box_reg: 0.03536 loss_rpn_cls: 0.004374 loss_rpn_loc: 0.001702 loss_D_img_s: 3.846e-05 time: 0.7629 last_time: 0.8874 data_time: 0.0167 last_data_time: 0.0165 lr: 0.02 max_mem: 10548M +[04/09 20:52:41] d2.utils.events INFO: eta: 10:40:03 iter: 2599 total_loss: 0.05529 loss_cls: 0.01381 loss_box_reg: 0.03472 loss_rpn_cls: 0.003412 loss_rpn_loc: 0.001262 loss_D_img_s: 3.688e-05 time: 0.7631 last_time: 0.8160 data_time: 0.0273 last_data_time: 0.0178 lr: 0.02 max_mem: 10548M +[04/09 20:52:57] d2.utils.events INFO: eta: 10:41:07 iter: 2619 total_loss: 0.05094 loss_cls: 0.01346 loss_box_reg: 0.03229 loss_rpn_cls: 0.003132 loss_rpn_loc: 0.001366 loss_D_img_s: 3.589e-05 time: 0.7635 last_time: 0.7961 data_time: 0.0265 last_data_time: 0.0172 lr: 0.02 max_mem: 10548M +[04/09 20:53:13] d2.utils.events INFO: eta: 10:40:50 iter: 2639 total_loss: 0.05518 loss_cls: 0.01541 loss_box_reg: 0.03705 loss_rpn_cls: 0.003846 loss_rpn_loc: 0.001534 loss_D_img_s: 3.413e-05 time: 0.7638 last_time: 1.3612 data_time: 0.0230 last_data_time: 0.0145 lr: 0.02 max_mem: 10548M +[04/09 20:53:29] d2.utils.events INFO: eta: 10:40:49 iter: 2659 total_loss: 0.05648 loss_cls: 0.01551 loss_box_reg: 0.03575 loss_rpn_cls: 0.003715 loss_rpn_loc: 0.001314 loss_D_img_s: 3.342e-05 time: 0.7641 last_time: 0.8196 data_time: 0.0297 last_data_time: 0.0322 lr: 0.02 max_mem: 10548M +[04/09 20:53:45] d2.utils.events INFO: eta: 10:38:32 iter: 2679 total_loss: 0.05272 loss_cls: 0.01472 loss_box_reg: 0.03569 loss_rpn_cls: 0.003754 loss_rpn_loc: 0.001309 loss_D_img_s: 3.246e-05 time: 0.7642 last_time: 0.7939 data_time: 0.0280 last_data_time: 0.0155 lr: 0.02 max_mem: 10548M +[04/09 20:54:00] d2.utils.events INFO: eta: 10:36:05 iter: 2699 total_loss: 0.051 loss_cls: 0.01539 loss_box_reg: 0.03175 loss_rpn_cls: 0.004214 loss_rpn_loc: 0.001352 loss_D_img_s: 3.276e-05 time: 0.7643 last_time: 0.9088 data_time: 0.0286 last_data_time: 0.0459 lr: 0.02 max_mem: 10548M +[04/09 20:54:16] d2.utils.events INFO: eta: 10:33:42 iter: 2719 total_loss: 0.05608 loss_cls: 0.01396 loss_box_reg: 0.03407 loss_rpn_cls: 0.00321 loss_rpn_loc: 0.001221 loss_D_img_s: 3.127e-05 time: 0.7643 last_time: 0.7528 data_time: 0.0222 last_data_time: 0.0333 lr: 0.02 max_mem: 10548M +[04/09 20:54:32] d2.utils.events INFO: eta: 10:31:28 iter: 2739 total_loss: 0.04934 loss_cls: 0.01393 loss_box_reg: 0.03095 loss_rpn_cls: 0.003018 loss_rpn_loc: 0.001522 loss_D_img_s: 3.159e-05 time: 0.7645 last_time: 0.7707 data_time: 0.0203 last_data_time: 0.0161 lr: 0.02 max_mem: 10548M +[04/09 20:54:47] d2.utils.events INFO: eta: 10:29:15 iter: 2759 total_loss: 0.0562 loss_cls: 0.01635 loss_box_reg: 0.03148 loss_rpn_cls: 0.003309 loss_rpn_loc: 0.001419 loss_D_img_s: 2.907e-05 time: 0.7645 last_time: 0.7645 data_time: 0.0166 last_data_time: 0.0133 lr: 0.02 max_mem: 10548M +[04/09 20:55:03] d2.utils.events INFO: eta: 10:27:27 iter: 2779 total_loss: 0.05059 loss_cls: 0.01527 loss_box_reg: 0.03027 loss_rpn_cls: 0.002867 loss_rpn_loc: 0.001445 loss_D_img_s: 2.949e-05 time: 0.7647 last_time: 0.7340 data_time: 0.0178 last_data_time: 0.0162 lr: 0.02 max_mem: 10548M +[04/09 20:55:19] d2.utils.events INFO: eta: 10:25:34 iter: 2799 total_loss: 0.05879 loss_cls: 0.01437 loss_box_reg: 0.03805 loss_rpn_cls: 0.004016 loss_rpn_loc: 0.001454 loss_D_img_s: 2.814e-05 time: 0.7650 last_time: 0.8102 data_time: 0.0215 last_data_time: 0.0185 lr: 0.02 max_mem: 10548M +[04/09 20:55:35] d2.utils.events INFO: eta: 10:25:21 iter: 2819 total_loss: 0.05747 loss_cls: 0.01374 loss_box_reg: 0.03564 loss_rpn_cls: 0.003005 loss_rpn_loc: 0.001233 loss_D_img_s: 2.734e-05 time: 0.7653 last_time: 0.7554 data_time: 0.0175 last_data_time: 0.0154 lr: 0.02 max_mem: 10548M +[04/09 20:55:50] d2.utils.events INFO: eta: 10:23:19 iter: 2839 total_loss: 0.05567 loss_cls: 0.01545 loss_box_reg: 0.0346 loss_rpn_cls: 0.002922 loss_rpn_loc: 0.001448 loss_D_img_s: 2.744e-05 time: 0.7653 last_time: 0.9931 data_time: 0.0186 last_data_time: 0.0142 lr: 0.02 max_mem: 10548M +[04/09 20:56:06] d2.utils.events INFO: eta: 10:21:15 iter: 2859 total_loss: 0.05082 loss_cls: 0.01178 loss_box_reg: 0.033 loss_rpn_cls: 0.002551 loss_rpn_loc: 0.001228 loss_D_img_s: 2.65e-05 time: 0.7655 last_time: 0.7671 data_time: 0.0176 last_data_time: 0.0134 lr: 0.02 max_mem: 10548M +[04/09 20:56:22] d2.utils.events INFO: eta: 10:17:55 iter: 2879 total_loss: 0.05569 loss_cls: 0.01327 loss_box_reg: 0.0332 loss_rpn_cls: 0.003639 loss_rpn_loc: 0.001633 loss_D_img_s: 2.597e-05 time: 0.7657 last_time: 0.7695 data_time: 0.0189 last_data_time: 0.0133 lr: 0.02 max_mem: 10548M +[04/09 20:56:38] d2.utils.events INFO: eta: 10:15:30 iter: 2899 total_loss: 0.05649 loss_cls: 0.01395 loss_box_reg: 0.03457 loss_rpn_cls: 0.003951 loss_rpn_loc: 0.001315 loss_D_img_s: 2.595e-05 time: 0.7658 last_time: 0.7779 data_time: 0.0202 last_data_time: 0.0189 lr: 0.02 max_mem: 10548M +[04/09 20:56:53] d2.utils.events INFO: eta: 10:13:24 iter: 2919 total_loss: 0.05731 loss_cls: 0.01437 loss_box_reg: 0.03592 loss_rpn_cls: 0.003005 loss_rpn_loc: 0.001185 loss_D_img_s: 2.493e-05 time: 0.7658 last_time: 0.7789 data_time: 0.0174 last_data_time: 0.0175 lr: 0.02 max_mem: 10548M +[04/09 20:57:09] d2.utils.events INFO: eta: 10:12:22 iter: 2939 total_loss: 0.04833 loss_cls: 0.009536 loss_box_reg: 0.03263 loss_rpn_cls: 0.002669 loss_rpn_loc: 0.001302 loss_D_img_s: 2.432e-05 time: 0.7659 last_time: 0.8095 data_time: 0.0206 last_data_time: 0.0143 lr: 0.02 max_mem: 10548M +[04/09 20:57:24] d2.utils.events INFO: eta: 10:11:30 iter: 2959 total_loss: 0.05607 loss_cls: 0.0152 loss_box_reg: 0.03562 loss_rpn_cls: 0.003416 loss_rpn_loc: 0.0013 loss_D_img_s: 2.345e-05 time: 0.7661 last_time: 0.7807 data_time: 0.0256 last_data_time: 0.0436 lr: 0.02 max_mem: 10548M +[04/09 20:57:41] d2.utils.events INFO: eta: 10:10:52 iter: 2979 total_loss: 0.05606 loss_cls: 0.01658 loss_box_reg: 0.03401 loss_rpn_cls: 0.003353 loss_rpn_loc: 0.00127 loss_D_img_s: 2.287e-05 time: 0.7663 last_time: 0.7342 data_time: 0.0276 last_data_time: 0.0343 lr: 0.02 max_mem: 10548M +[04/09 20:57:57] d2.data.common INFO: Serializing the dataset using: +[04/09 20:57:57] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 20:57:57] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 20:57:57] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 20:57:57] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 20:57:58] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0113 s/iter. Inference: 0.0693 s/iter. Eval: 0.0022 s/iter. Total: 0.0829 s/iter. ETA=0:00:33 +[04/09 20:58:03] d2.evaluation.evaluator INFO: Inference done 83/410. Dataloading: 0.0104 s/iter. Inference: 0.0622 s/iter. Eval: 0.0003 s/iter. Total: 0.0730 s/iter. ETA=0:00:23 +[04/09 20:58:08] d2.evaluation.evaluator INFO: Inference done 154/410. Dataloading: 0.0104 s/iter. Inference: 0.0611 s/iter. Eval: 0.0003 s/iter. Total: 0.0718 s/iter. ETA=0:00:18 +[04/09 20:58:13] d2.evaluation.evaluator INFO: Inference done 225/410. Dataloading: 0.0116 s/iter. Inference: 0.0596 s/iter. Eval: 0.0003 s/iter. Total: 0.0716 s/iter. ETA=0:00:13 +[04/09 20:58:18] d2.evaluation.evaluator INFO: Inference done 299/410. Dataloading: 0.0111 s/iter. Inference: 0.0592 s/iter. Eval: 0.0003 s/iter. Total: 0.0707 s/iter. ETA=0:00:07 +[04/09 20:58:23] d2.evaluation.evaluator INFO: Inference done 374/410. Dataloading: 0.0109 s/iter. Inference: 0.0587 s/iter. Eval: 0.0003 s/iter. Total: 0.0700 s/iter. ETA=0:00:02 +[04/09 20:58:26] d2.evaluation.evaluator INFO: Total inference time: 0:00:28.353740 (0.070009 s / iter per device, on 1 devices) +[04/09 20:58:26] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.058557 s / iter per device, on 1 devices) +[04/09 20:58:26] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 20:58:26] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 20:58:26] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 20:58:26] d2.evaluation.testing INFO: copypaste: 0.2706,1.6976,0.0000 +[04/09 20:58:26] d2.data.common INFO: Serializing the dataset using: +[04/09 20:58:26] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 20:58:26] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 20:58:26] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 20:58:26] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 20:58:28] d2.evaluation.evaluator INFO: Inference done 26/410. Dataloading: 0.0137 s/iter. Inference: 0.0590 s/iter. Eval: 0.0010 s/iter. Total: 0.0737 s/iter. ETA=0:00:28 +[04/09 20:58:33] d2.evaluation.evaluator INFO: Inference done 101/410. Dataloading: 0.0116 s/iter. Inference: 0.0558 s/iter. Eval: 0.0008 s/iter. Total: 0.0683 s/iter. ETA=0:00:21 +[04/09 20:58:38] d2.evaluation.evaluator INFO: Inference done 172/410. Dataloading: 0.0117 s/iter. Inference: 0.0566 s/iter. Eval: 0.0009 s/iter. Total: 0.0694 s/iter. ETA=0:00:16 +[04/09 20:58:43] d2.evaluation.evaluator INFO: Inference done 246/410. Dataloading: 0.0103 s/iter. Inference: 0.0577 s/iter. Eval: 0.0009 s/iter. Total: 0.0689 s/iter. ETA=0:00:11 +[04/09 20:58:48] d2.evaluation.evaluator INFO: Inference done 320/410. Dataloading: 0.0095 s/iter. Inference: 0.0582 s/iter. Eval: 0.0008 s/iter. Total: 0.0687 s/iter. ETA=0:00:06 +[04/09 20:58:53] d2.evaluation.evaluator INFO: Inference done 397/410. Dataloading: 0.0092 s/iter. Inference: 0.0579 s/iter. Eval: 0.0008 s/iter. Total: 0.0680 s/iter. ETA=0:00:00 +[04/09 20:58:54] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.493784 (0.067886 s / iter per device, on 1 devices) +[04/09 20:58:54] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057657 s / iter per device, on 1 devices) +[04/09 20:58:59] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 20:58:59] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 20:58:59] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 20:58:59] d2.evaluation.testing INFO: copypaste: 0.6185,3.2641,0.0153 +[04/09 20:58:59] d2.utils.events INFO: eta: 10:09:59 iter: 2999 total_loss: 0.0593 loss_cls: 0.01568 loss_box_reg: 0.03831 loss_rpn_cls: 0.004536 loss_rpn_loc: 0.001203 loss_D_img_s: 2.259e-05 time: 0.7665 last_time: 0.8400 data_time: 0.0312 last_data_time: 0.0286 lr: 0.02 max_mem: 10548M +[04/09 20:59:13] d2.utils.events INFO: eta: 10:08:27 iter: 3019 total_loss: 0.04943 loss_cls: 0.0143 loss_box_reg: 0.03135 loss_rpn_cls: 0.002609 loss_rpn_loc: 0.001243 loss_D_img_s: 2.156e-05 time: 0.7661 last_time: 0.7654 data_time: 0.0248 last_data_time: 0.0250 lr: 0.02 max_mem: 10548M +[04/09 20:59:28] d2.utils.events INFO: eta: 10:06:33 iter: 3039 total_loss: 0.05342 loss_cls: 0.01204 loss_box_reg: 0.03501 loss_rpn_cls: 0.002599 loss_rpn_loc: 0.00122 loss_D_img_s: 2.199e-05 time: 0.7661 last_time: 0.7468 data_time: 0.0210 last_data_time: 0.0157 lr: 0.02 max_mem: 10548M +[04/09 20:59:44] d2.utils.events INFO: eta: 10:07:12 iter: 3059 total_loss: 0.05377 loss_cls: 0.01542 loss_box_reg: 0.03017 loss_rpn_cls: 0.00381 loss_rpn_loc: 0.001352 loss_D_img_s: 2.09e-05 time: 0.7663 last_time: 0.7658 data_time: 0.0206 last_data_time: 0.0156 lr: 0.02 max_mem: 10548M +[04/09 20:59:59] d2.utils.events INFO: eta: 10:06:32 iter: 3079 total_loss: 0.05232 loss_cls: 0.01494 loss_box_reg: 0.03155 loss_rpn_cls: 0.003066 loss_rpn_loc: 0.001033 loss_D_img_s: 2.054e-05 time: 0.7663 last_time: 0.8364 data_time: 0.0182 last_data_time: 0.0167 lr: 0.02 max_mem: 10548M +[04/09 21:00:16] d2.utils.events INFO: eta: 10:06:54 iter: 3099 total_loss: 0.05056 loss_cls: 0.0116 loss_box_reg: 0.03362 loss_rpn_cls: 0.002466 loss_rpn_loc: 0.001319 loss_D_img_s: 1.979e-05 time: 0.7666 last_time: 0.8409 data_time: 0.0235 last_data_time: 0.0174 lr: 0.02 max_mem: 10548M +[04/09 21:00:31] d2.utils.events INFO: eta: 10:07:10 iter: 3119 total_loss: 0.05424 loss_cls: 0.01354 loss_box_reg: 0.03403 loss_rpn_cls: 0.003473 loss_rpn_loc: 0.001411 loss_D_img_s: 2.002e-05 time: 0.7667 last_time: 0.8001 data_time: 0.0274 last_data_time: 0.0320 lr: 0.02 max_mem: 10548M +[04/09 21:00:47] d2.utils.events INFO: eta: 10:07:29 iter: 3139 total_loss: 0.05281 loss_cls: 0.01353 loss_box_reg: 0.0298 loss_rpn_cls: 0.003677 loss_rpn_loc: 0.001253 loss_D_img_s: 1.988e-05 time: 0.7669 last_time: 0.7172 data_time: 0.0200 last_data_time: 0.0157 lr: 0.02 max_mem: 10548M +[04/09 21:01:03] d2.utils.events INFO: eta: 10:07:14 iter: 3159 total_loss: 0.0509 loss_cls: 0.01078 loss_box_reg: 0.02958 loss_rpn_cls: 0.001936 loss_rpn_loc: 0.001153 loss_D_img_s: 1.953e-05 time: 0.7670 last_time: 0.9603 data_time: 0.0209 last_data_time: 0.0165 lr: 0.02 max_mem: 10548M +[04/09 21:01:19] d2.utils.events INFO: eta: 10:06:56 iter: 3179 total_loss: 0.03879 loss_cls: 0.008645 loss_box_reg: 0.02607 loss_rpn_cls: 0.002063 loss_rpn_loc: 0.001261 loss_D_img_s: 1.899e-05 time: 0.7672 last_time: 0.7461 data_time: 0.0233 last_data_time: 0.0279 lr: 0.02 max_mem: 10548M +[04/09 21:01:35] d2.utils.events INFO: eta: 10:07:23 iter: 3199 total_loss: 0.05192 loss_cls: 0.01201 loss_box_reg: 0.0346 loss_rpn_cls: 0.003463 loss_rpn_loc: 0.001454 loss_D_img_s: 1.83e-05 time: 0.7675 last_time: 0.7989 data_time: 0.0259 last_data_time: 0.0243 lr: 0.02 max_mem: 10548M +[04/09 21:01:51] d2.utils.events INFO: eta: 10:07:23 iter: 3219 total_loss: 0.04958 loss_cls: 0.01293 loss_box_reg: 0.03182 loss_rpn_cls: 0.002803 loss_rpn_loc: 0.001445 loss_D_img_s: 1.768e-05 time: 0.7678 last_time: 0.7936 data_time: 0.0223 last_data_time: 0.0141 lr: 0.02 max_mem: 10548M +[04/09 21:02:08] d2.utils.events INFO: eta: 10:07:31 iter: 3239 total_loss: 0.0556 loss_cls: 0.015 loss_box_reg: 0.03458 loss_rpn_cls: 0.004498 loss_rpn_loc: 0.001502 loss_D_img_s: 1.763e-05 time: 0.7681 last_time: 0.8183 data_time: 0.0249 last_data_time: 0.0396 lr: 0.02 max_mem: 10548M +[04/09 21:02:24] d2.utils.events INFO: eta: 10:07:15 iter: 3259 total_loss: 0.05725 loss_cls: 0.0135 loss_box_reg: 0.03367 loss_rpn_cls: 0.003041 loss_rpn_loc: 0.00126 loss_D_img_s: 1.793e-05 time: 0.7682 last_time: 0.8373 data_time: 0.0232 last_data_time: 0.0224 lr: 0.02 max_mem: 10548M +[04/09 21:02:41] d2.utils.events INFO: eta: 10:07:10 iter: 3279 total_loss: 0.05511 loss_cls: 0.01381 loss_box_reg: 0.03531 loss_rpn_cls: 0.002904 loss_rpn_loc: 0.001296 loss_D_img_s: 1.709e-05 time: 0.7687 last_time: 0.7451 data_time: 0.0237 last_data_time: 0.0227 lr: 0.02 max_mem: 10548M +[04/09 21:02:56] d2.utils.events INFO: eta: 10:06:44 iter: 3299 total_loss: 0.0475 loss_cls: 0.01124 loss_box_reg: 0.03015 loss_rpn_cls: 0.002919 loss_rpn_loc: 0.001186 loss_D_img_s: 1.691e-05 time: 0.7687 last_time: 0.7502 data_time: 0.0237 last_data_time: 0.0230 lr: 0.02 max_mem: 10548M +[04/09 21:03:12] d2.utils.events INFO: eta: 10:06:56 iter: 3319 total_loss: 0.04764 loss_cls: 0.01162 loss_box_reg: 0.02992 loss_rpn_cls: 0.003247 loss_rpn_loc: 0.001361 loss_D_img_s: 1.638e-05 time: 0.7689 last_time: 1.0410 data_time: 0.0217 last_data_time: 0.0165 lr: 0.02 max_mem: 10548M +[04/09 21:03:28] d2.utils.events INFO: eta: 10:06:23 iter: 3339 total_loss: 0.05121 loss_cls: 0.01323 loss_box_reg: 0.02958 loss_rpn_cls: 0.00315 loss_rpn_loc: 0.001441 loss_D_img_s: 1.667e-05 time: 0.7691 last_time: 0.7543 data_time: 0.0173 last_data_time: 0.0147 lr: 0.02 max_mem: 10548M +[04/09 21:03:45] d2.utils.events INFO: eta: 10:06:08 iter: 3359 total_loss: 0.04865 loss_cls: 0.01367 loss_box_reg: 0.03004 loss_rpn_cls: 0.003132 loss_rpn_loc: 0.001526 loss_D_img_s: 1.711e-05 time: 0.7694 last_time: 0.7548 data_time: 0.0362 last_data_time: 0.0172 lr: 0.02 max_mem: 10548M +[04/09 21:04:00] d2.utils.events INFO: eta: 10:05:57 iter: 3379 total_loss: 0.04371 loss_cls: 0.009893 loss_box_reg: 0.02811 loss_rpn_cls: 0.002701 loss_rpn_loc: 0.00132 loss_D_img_s: 1.604e-05 time: 0.7694 last_time: 0.7747 data_time: 0.0249 last_data_time: 0.0170 lr: 0.02 max_mem: 10548M +[04/09 21:04:16] d2.utils.events INFO: eta: 10:05:36 iter: 3399 total_loss: 0.05199 loss_cls: 0.01161 loss_box_reg: 0.03303 loss_rpn_cls: 0.002803 loss_rpn_loc: 0.00126 loss_D_img_s: 1.602e-05 time: 0.7696 last_time: 0.7811 data_time: 0.0190 last_data_time: 0.0144 lr: 0.02 max_mem: 10548M +[04/09 21:04:31] d2.utils.events INFO: eta: 10:05:09 iter: 3419 total_loss: 0.04226 loss_cls: 0.01051 loss_box_reg: 0.02687 loss_rpn_cls: 0.001839 loss_rpn_loc: 0.001193 loss_D_img_s: 1.555e-05 time: 0.7696 last_time: 0.8014 data_time: 0.0195 last_data_time: 0.0333 lr: 0.02 max_mem: 10548M +[04/09 21:04:48] d2.utils.events INFO: eta: 10:05:14 iter: 3439 total_loss: 0.05348 loss_cls: 0.01459 loss_box_reg: 0.03262 loss_rpn_cls: 0.002683 loss_rpn_loc: 0.001113 loss_D_img_s: 1.578e-05 time: 0.7698 last_time: 0.8078 data_time: 0.0192 last_data_time: 0.0175 lr: 0.02 max_mem: 10548M +[04/09 21:05:03] d2.utils.events INFO: eta: 10:05:04 iter: 3459 total_loss: 0.04741 loss_cls: 0.01437 loss_box_reg: 0.02951 loss_rpn_cls: 0.002699 loss_rpn_loc: 0.0009265 loss_D_img_s: 1.471e-05 time: 0.7700 last_time: 0.7902 data_time: 0.0223 last_data_time: 0.0348 lr: 0.02 max_mem: 10548M +[04/09 21:05:20] d2.utils.events INFO: eta: 10:05:14 iter: 3479 total_loss: 0.04127 loss_cls: 0.01079 loss_box_reg: 0.02695 loss_rpn_cls: 0.003098 loss_rpn_loc: 0.001632 loss_D_img_s: 1.588e-05 time: 0.7702 last_time: 1.0740 data_time: 0.0281 last_data_time: 0.0129 lr: 0.02 max_mem: 10548M +[04/09 21:05:35] d2.utils.events INFO: eta: 10:04:33 iter: 3499 total_loss: 0.04043 loss_cls: 0.009884 loss_box_reg: 0.02842 loss_rpn_cls: 0.003206 loss_rpn_loc: 0.00127 loss_D_img_s: 1.606e-05 time: 0.7702 last_time: 0.7526 data_time: 0.0250 last_data_time: 0.0148 lr: 0.02 max_mem: 10548M +[04/09 21:05:52] d2.utils.events INFO: eta: 10:04:27 iter: 3519 total_loss: 0.04462 loss_cls: 0.01019 loss_box_reg: 0.03079 loss_rpn_cls: 0.002475 loss_rpn_loc: 0.001003 loss_D_img_s: 1.556e-05 time: 0.7705 last_time: 0.8652 data_time: 0.0223 last_data_time: 0.0152 lr: 0.02 max_mem: 10548M +[04/09 21:06:07] d2.utils.events INFO: eta: 10:04:08 iter: 3539 total_loss: 0.05211 loss_cls: 0.01406 loss_box_reg: 0.03328 loss_rpn_cls: 0.003916 loss_rpn_loc: 0.001374 loss_D_img_s: 1.465e-05 time: 0.7706 last_time: 0.8846 data_time: 0.0201 last_data_time: 0.0392 lr: 0.02 max_mem: 10548M +[04/09 21:06:23] d2.utils.events INFO: eta: 10:03:41 iter: 3559 total_loss: 0.04533 loss_cls: 0.01228 loss_box_reg: 0.02734 loss_rpn_cls: 0.002157 loss_rpn_loc: 0.0009555 loss_D_img_s: 1.445e-05 time: 0.7708 last_time: 0.7723 data_time: 0.0286 last_data_time: 0.0192 lr: 0.02 max_mem: 10548M +[04/09 21:06:40] d2.utils.events INFO: eta: 10:03:49 iter: 3579 total_loss: 0.04798 loss_cls: 0.0126 loss_box_reg: 0.03003 loss_rpn_cls: 0.003153 loss_rpn_loc: 0.001042 loss_D_img_s: 1.463e-05 time: 0.7710 last_time: 0.7356 data_time: 0.0217 last_data_time: 0.0206 lr: 0.02 max_mem: 10548M +[04/09 21:06:56] d2.utils.events INFO: eta: 10:03:14 iter: 3599 total_loss: 0.04726 loss_cls: 0.01176 loss_box_reg: 0.03191 loss_rpn_cls: 0.002392 loss_rpn_loc: 0.001165 loss_D_img_s: 1.376e-05 time: 0.7712 last_time: 0.7621 data_time: 0.0228 last_data_time: 0.0184 lr: 0.02 max_mem: 10548M +[04/09 21:07:11] d2.utils.events INFO: eta: 10:02:42 iter: 3619 total_loss: 0.04838 loss_cls: 0.01311 loss_box_reg: 0.03134 loss_rpn_cls: 0.002881 loss_rpn_loc: 0.001258 loss_D_img_s: 1.401e-05 time: 0.7713 last_time: 0.8193 data_time: 0.0214 last_data_time: 0.0385 lr: 0.02 max_mem: 10548M +[04/09 21:07:28] d2.utils.events INFO: eta: 10:02:53 iter: 3639 total_loss: 0.04835 loss_cls: 0.01244 loss_box_reg: 0.03091 loss_rpn_cls: 0.002341 loss_rpn_loc: 0.001075 loss_D_img_s: 1.341e-05 time: 0.7715 last_time: 0.7605 data_time: 0.0268 last_data_time: 0.0156 lr: 0.02 max_mem: 10548M +[04/09 21:07:43] d2.utils.events INFO: eta: 10:02:23 iter: 3659 total_loss: 0.04963 loss_cls: 0.01245 loss_box_reg: 0.03069 loss_rpn_cls: 0.003498 loss_rpn_loc: 0.001336 loss_D_img_s: 1.246e-05 time: 0.7716 last_time: 0.8095 data_time: 0.0245 last_data_time: 0.0151 lr: 0.02 max_mem: 10548M +[04/09 21:08:00] d2.utils.events INFO: eta: 10:02:26 iter: 3679 total_loss: 0.0467 loss_cls: 0.01273 loss_box_reg: 0.02994 loss_rpn_cls: 0.002768 loss_rpn_loc: 0.001436 loss_D_img_s: 1.322e-05 time: 0.7718 last_time: 0.8042 data_time: 0.0200 last_data_time: 0.0137 lr: 0.02 max_mem: 10548M +[04/09 21:08:16] d2.utils.events INFO: eta: 10:03:04 iter: 3699 total_loss: 0.04845 loss_cls: 0.01192 loss_box_reg: 0.03087 loss_rpn_cls: 0.001991 loss_rpn_loc: 0.001369 loss_D_img_s: 1.24e-05 time: 0.7719 last_time: 0.8033 data_time: 0.0207 last_data_time: 0.0173 lr: 0.02 max_mem: 10548M +[04/09 21:08:32] d2.utils.events INFO: eta: 10:03:34 iter: 3719 total_loss: 0.04356 loss_cls: 0.009704 loss_box_reg: 0.02798 loss_rpn_cls: 0.002411 loss_rpn_loc: 0.001278 loss_D_img_s: 1.282e-05 time: 0.7721 last_time: 0.7937 data_time: 0.0217 last_data_time: 0.0162 lr: 0.02 max_mem: 10548M +[04/09 21:08:48] d2.utils.events INFO: eta: 10:03:49 iter: 3739 total_loss: 0.04777 loss_cls: 0.0117 loss_box_reg: 0.03018 loss_rpn_cls: 0.002852 loss_rpn_loc: 0.00113 loss_D_img_s: 1.286e-05 time: 0.7722 last_time: 0.7756 data_time: 0.0223 last_data_time: 0.0144 lr: 0.02 max_mem: 10548M +[04/09 21:09:04] d2.utils.events INFO: eta: 10:04:18 iter: 3759 total_loss: 0.03966 loss_cls: 0.008091 loss_box_reg: 0.02844 loss_rpn_cls: 0.001893 loss_rpn_loc: 0.001241 loss_D_img_s: 1.3e-05 time: 0.7725 last_time: 0.7840 data_time: 0.0239 last_data_time: 0.0154 lr: 0.02 max_mem: 10548M +[04/09 21:09:20] d2.utils.events INFO: eta: 10:04:26 iter: 3779 total_loss: 0.04268 loss_cls: 0.009776 loss_box_reg: 0.02718 loss_rpn_cls: 0.00181 loss_rpn_loc: 0.001181 loss_D_img_s: 1.314e-05 time: 0.7726 last_time: 0.7917 data_time: 0.0195 last_data_time: 0.0184 lr: 0.02 max_mem: 10548M +[04/09 21:09:36] d2.utils.events INFO: eta: 10:04:49 iter: 3799 total_loss: 0.04882 loss_cls: 0.01088 loss_box_reg: 0.03235 loss_rpn_cls: 0.002921 loss_rpn_loc: 0.001304 loss_D_img_s: 1.246e-05 time: 0.7728 last_time: 0.8006 data_time: 0.0208 last_data_time: 0.0144 lr: 0.02 max_mem: 10548M +[04/09 21:09:52] d2.utils.events INFO: eta: 10:03:57 iter: 3819 total_loss: 0.04335 loss_cls: 0.0104 loss_box_reg: 0.02824 loss_rpn_cls: 0.001677 loss_rpn_loc: 0.001024 loss_D_img_s: 1.176e-05 time: 0.7730 last_time: 1.0092 data_time: 0.0197 last_data_time: 0.0346 lr: 0.02 max_mem: 10548M +[04/09 21:10:09] d2.utils.events INFO: eta: 10:04:57 iter: 3839 total_loss: 0.04877 loss_cls: 0.01303 loss_box_reg: 0.03007 loss_rpn_cls: 0.002341 loss_rpn_loc: 0.001182 loss_D_img_s: 1.146e-05 time: 0.7733 last_time: 0.8187 data_time: 0.0287 last_data_time: 0.0146 lr: 0.02 max_mem: 10548M +[04/09 21:10:24] d2.utils.events INFO: eta: 10:04:20 iter: 3859 total_loss: 0.04314 loss_cls: 0.009387 loss_box_reg: 0.02916 loss_rpn_cls: 0.002094 loss_rpn_loc: 0.001092 loss_D_img_s: 1.158e-05 time: 0.7732 last_time: 0.7610 data_time: 0.0220 last_data_time: 0.0150 lr: 0.02 max_mem: 10548M +[04/09 21:10:41] d2.utils.events INFO: eta: 10:04:25 iter: 3879 total_loss: 0.04811 loss_cls: 0.01431 loss_box_reg: 0.03136 loss_rpn_cls: 0.003646 loss_rpn_loc: 0.001121 loss_D_img_s: 1.144e-05 time: 0.7735 last_time: 0.8862 data_time: 0.0218 last_data_time: 0.0183 lr: 0.02 max_mem: 10548M +[04/09 21:10:57] d2.utils.events INFO: eta: 10:04:12 iter: 3899 total_loss: 0.04802 loss_cls: 0.01345 loss_box_reg: 0.03004 loss_rpn_cls: 0.002466 loss_rpn_loc: 0.001105 loss_D_img_s: 1.138e-05 time: 0.7737 last_time: 0.8824 data_time: 0.0254 last_data_time: 0.0259 lr: 0.02 max_mem: 10548M +[04/09 21:11:13] d2.utils.events INFO: eta: 10:04:17 iter: 3919 total_loss: 0.04687 loss_cls: 0.01198 loss_box_reg: 0.02832 loss_rpn_cls: 0.002295 loss_rpn_loc: 0.001366 loss_D_img_s: 1.162e-05 time: 0.7739 last_time: 0.7650 data_time: 0.0284 last_data_time: 0.0234 lr: 0.02 max_mem: 10548M +[04/09 21:11:29] d2.utils.events INFO: eta: 10:04:12 iter: 3939 total_loss: 0.04519 loss_cls: 0.01188 loss_box_reg: 0.02768 loss_rpn_cls: 0.002565 loss_rpn_loc: 0.00106 loss_D_img_s: 1.142e-05 time: 0.7741 last_time: 0.7393 data_time: 0.0183 last_data_time: 0.0145 lr: 0.02 max_mem: 10548M +[04/09 21:11:45] d2.utils.events INFO: eta: 10:04:14 iter: 3959 total_loss: 0.04347 loss_cls: 0.01129 loss_box_reg: 0.0278 loss_rpn_cls: 0.002805 loss_rpn_loc: 0.000991 loss_D_img_s: 1.133e-05 time: 0.7742 last_time: 0.8139 data_time: 0.0189 last_data_time: 0.0230 lr: 0.02 max_mem: 10548M +[04/09 21:12:02] d2.utils.events INFO: eta: 10:04:00 iter: 3979 total_loss: 0.04775 loss_cls: 0.01175 loss_box_reg: 0.02883 loss_rpn_cls: 0.00279 loss_rpn_loc: 0.001336 loss_D_img_s: 1.183e-05 time: 0.7744 last_time: 0.8182 data_time: 0.0197 last_data_time: 0.0400 lr: 0.02 max_mem: 10548M +[04/09 21:12:18] d2.data.common INFO: Serializing the dataset using: +[04/09 21:12:18] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 21:12:18] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 21:12:18] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 21:12:18] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 21:12:19] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0161 s/iter. Inference: 0.0579 s/iter. Eval: 0.0002 s/iter. Total: 0.0742 s/iter. ETA=0:00:29 +[04/09 21:12:24] d2.evaluation.evaluator INFO: Inference done 93/410. Dataloading: 0.0106 s/iter. Inference: 0.0514 s/iter. Eval: 0.0002 s/iter. Total: 0.0623 s/iter. ETA=0:00:19 +[04/09 21:12:29] d2.evaluation.evaluator INFO: Inference done 168/410. Dataloading: 0.0101 s/iter. Inference: 0.0540 s/iter. Eval: 0.0002 s/iter. Total: 0.0643 s/iter. ETA=0:00:15 +[04/09 21:12:34] d2.evaluation.evaluator INFO: Inference done 246/410. Dataloading: 0.0107 s/iter. Inference: 0.0535 s/iter. Eval: 0.0002 s/iter. Total: 0.0644 s/iter. ETA=0:00:10 +[04/09 21:12:39] d2.evaluation.evaluator INFO: Inference done 314/410. Dataloading: 0.0112 s/iter. Inference: 0.0551 s/iter. Eval: 0.0002 s/iter. Total: 0.0665 s/iter. ETA=0:00:06 +[04/09 21:12:44] d2.evaluation.evaluator INFO: Inference done 390/410. Dataloading: 0.0109 s/iter. Inference: 0.0552 s/iter. Eval: 0.0002 s/iter. Total: 0.0663 s/iter. ETA=0:00:01 +[04/09 21:12:45] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.860031 (0.066321 s / iter per device, on 1 devices) +[04/09 21:12:45] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.055000 s / iter per device, on 1 devices) +[04/09 21:12:46] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 21:12:46] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 21:12:46] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 21:12:46] d2.evaluation.testing INFO: copypaste: 0.4575,2.0617,0.0000 +[04/09 21:12:46] d2.data.common INFO: Serializing the dataset using: +[04/09 21:12:46] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 21:12:46] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 21:12:46] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 21:12:46] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 21:12:49] d2.evaluation.evaluator INFO: Inference done 47/410. 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ETA=0:00:04 +[04/09 21:13:14] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.457155 (0.067795 s / iter per device, on 1 devices) +[04/09 21:13:14] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.055591 s / iter per device, on 1 devices) +[04/09 21:13:15] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 21:13:15] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 21:13:15] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 21:13:15] d2.evaluation.testing INFO: copypaste: 0.8836,5.0410,0.0356 +[04/09 21:13:15] d2.utils.events INFO: eta: 10:03:41 iter: 3999 total_loss: 0.04256 loss_cls: 0.008915 loss_box_reg: 0.02793 loss_rpn_cls: 0.00192 loss_rpn_loc: 0.001522 loss_D_img_s: 1.147e-05 time: 0.7745 last_time: 0.7696 data_time: 0.0174 last_data_time: 0.0152 lr: 0.02 max_mem: 10548M +[04/09 21:13:30] d2.utils.events INFO: eta: 10:03:27 iter: 4019 total_loss: 0.04211 loss_cls: 0.01178 loss_box_reg: 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d2.utils.events INFO: eta: 10:01:36 iter: 4299 total_loss: 0.04703 loss_cls: 0.01236 loss_box_reg: 0.03051 loss_rpn_cls: 0.002734 loss_rpn_loc: 0.001118 loss_D_img_s: 9.585e-06 time: 0.7761 last_time: 0.7469 data_time: 0.0202 last_data_time: 0.0148 lr: 0.02 max_mem: 10548M +[04/09 21:17:31] d2.utils.events INFO: eta: 10:01:18 iter: 4319 total_loss: 0.04955 loss_cls: 0.01339 loss_box_reg: 0.03055 loss_rpn_cls: 0.003179 loss_rpn_loc: 0.0009754 loss_D_img_s: 1.016e-05 time: 0.7763 last_time: 0.8197 data_time: 0.0225 last_data_time: 0.0329 lr: 0.02 max_mem: 10548M +[04/09 21:17:47] d2.utils.events INFO: eta: 10:01:24 iter: 4339 total_loss: 0.04101 loss_cls: 0.01035 loss_box_reg: 0.02713 loss_rpn_cls: 0.002354 loss_rpn_loc: 0.001246 loss_D_img_s: 9.771e-06 time: 0.7764 last_time: 0.8087 data_time: 0.0181 last_data_time: 0.0199 lr: 0.02 max_mem: 10548M +[04/09 21:18:03] d2.utils.events INFO: eta: 10:01:44 iter: 4359 total_loss: 0.04462 loss_cls: 0.008865 loss_box_reg: 0.02775 loss_rpn_cls: 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lr: 0.02 max_mem: 10548M +[04/09 21:19:08] d2.utils.events INFO: eta: 10:03:15 iter: 4439 total_loss: 0.03561 loss_cls: 0.009333 loss_box_reg: 0.02325 loss_rpn_cls: 0.002431 loss_rpn_loc: 0.00089 loss_D_img_s: 8.975e-06 time: 0.7771 last_time: 0.7604 data_time: 0.0208 last_data_time: 0.0308 lr: 0.02 max_mem: 10548M +[04/09 21:19:24] d2.utils.events INFO: eta: 10:03:35 iter: 4459 total_loss: 0.04222 loss_cls: 0.01258 loss_box_reg: 0.02683 loss_rpn_cls: 0.002606 loss_rpn_loc: 0.001082 loss_D_img_s: 9.134e-06 time: 0.7773 last_time: 0.8116 data_time: 0.0242 last_data_time: 0.0164 lr: 0.02 max_mem: 10548M +[04/09 21:19:40] d2.utils.events INFO: eta: 10:03:31 iter: 4479 total_loss: 0.04758 loss_cls: 0.01447 loss_box_reg: 0.02763 loss_rpn_cls: 0.002362 loss_rpn_loc: 0.001137 loss_D_img_s: 9.214e-06 time: 0.7773 last_time: 0.6487 data_time: 0.0183 last_data_time: 0.0158 lr: 0.02 max_mem: 10548M +[04/09 21:19:57] d2.utils.events INFO: eta: 10:03:50 iter: 4499 total_loss: 0.04321 loss_cls: 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data_time: 0.0246 last_data_time: 0.0216 lr: 0.02 max_mem: 10548M +[04/09 21:25:35] d2.utils.events INFO: eta: 10:00:39 iter: 4919 total_loss: 0.04081 loss_cls: 0.00944 loss_box_reg: 0.02678 loss_rpn_cls: 0.002903 loss_rpn_loc: 0.0012 loss_D_img_s: 8.039e-06 time: 0.7800 last_time: 0.8915 data_time: 0.0192 last_data_time: 0.0377 lr: 0.02 max_mem: 10548M +[04/09 21:25:52] d2.utils.events INFO: eta: 10:00:47 iter: 4939 total_loss: 0.04771 loss_cls: 0.01346 loss_box_reg: 0.03101 loss_rpn_cls: 0.002813 loss_rpn_loc: 0.001327 loss_D_img_s: 8.554e-06 time: 0.7802 last_time: 0.7471 data_time: 0.0243 last_data_time: 0.0165 lr: 0.02 max_mem: 10548M +[04/09 21:26:08] d2.utils.events INFO: eta: 10:00:13 iter: 4959 total_loss: 0.04618 loss_cls: 0.01316 loss_box_reg: 0.02776 loss_rpn_cls: 0.002816 loss_rpn_loc: 0.001026 loss_D_img_s: 8.145e-06 time: 0.7803 last_time: 0.8464 data_time: 0.0231 last_data_time: 0.0144 lr: 0.02 max_mem: 10548M +[04/09 21:26:24] d2.utils.events INFO: eta: 10:00:08 iter: 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Total: 0.0678 s/iter. ETA=0:00:01 +[04/09 21:27:10] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.435410 (0.067742 s / iter per device, on 1 devices) +[04/09 21:27:10] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057770 s / iter per device, on 1 devices) +[04/09 21:27:10] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 21:27:10] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 21:27:10] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 21:27:10] d2.evaluation.testing INFO: copypaste: 0.6272,2.9612,0.0532 +[04/09 21:27:10] d2.data.common INFO: Serializing the dataset using: +[04/09 21:27:10] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 21:27:10] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 21:27:10] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 21:27:10] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 21:27:13] d2.evaluation.evaluator INFO: Inference done 31/410. 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Total: 0.0716 s/iter. ETA=0:00:01 +[04/09 21:27:40] d2.evaluation.evaluator INFO: Total inference time: 0:00:28.932949 (0.071439 s / iter per device, on 1 devices) +[04/09 21:27:40] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057824 s / iter per device, on 1 devices) +[04/09 21:27:40] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 21:27:40] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 21:27:40] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 21:27:40] d2.evaluation.testing INFO: copypaste: 0.8029,3.4076,0.0411 +[04/09 21:27:40] d2.utils.events INFO: eta: 10:00:08 iter: 4999 total_loss: 0.03668 loss_cls: 0.008608 loss_box_reg: 0.02297 loss_rpn_cls: 0.001841 loss_rpn_loc: 0.001067 loss_D_img_s: 7.754e-06 time: 0.7805 last_time: 0.8748 data_time: 0.0257 last_data_time: 0.0145 lr: 0.02 max_mem: 10548M +[04/09 21:27:55] d2.utils.events INFO: eta: 10:00:24 iter: 5019 total_loss: 0.03758 loss_cls: 0.009722 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data_time: 0.0225 last_data_time: 0.0394 lr: 0.02 max_mem: 10548M +[04/09 21:28:59] d2.utils.events INFO: eta: 9:59:56 iter: 5099 total_loss: 0.04069 loss_cls: 0.01124 loss_box_reg: 0.02679 loss_rpn_cls: 0.002058 loss_rpn_loc: 0.001077 loss_D_img_s: 7.511e-06 time: 0.7807 last_time: 0.8227 data_time: 0.0284 last_data_time: 0.0136 lr: 0.02 max_mem: 10548M +[04/09 21:29:15] d2.utils.events INFO: eta: 9:59:52 iter: 5119 total_loss: 0.04277 loss_cls: 0.01207 loss_box_reg: 0.02558 loss_rpn_cls: 0.002425 loss_rpn_loc: 0.0009669 loss_D_img_s: 7.512e-06 time: 0.7808 last_time: 0.7350 data_time: 0.0200 last_data_time: 0.0142 lr: 0.02 max_mem: 10548M +[04/09 21:29:32] d2.utils.events INFO: eta: 9:59:54 iter: 5139 total_loss: 0.04106 loss_cls: 0.01151 loss_box_reg: 0.02513 loss_rpn_cls: 0.002434 loss_rpn_loc: 0.0008963 loss_D_img_s: 7.564e-06 time: 0.7810 last_time: 0.7621 data_time: 0.0349 last_data_time: 0.0313 lr: 0.02 max_mem: 10548M +[04/09 21:29:48] d2.utils.events INFO: eta: 9:59:20 iter: 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d2.utils.events INFO: eta: 9:56:03 iter: 5299 total_loss: 0.03213 loss_cls: 0.007222 loss_box_reg: 0.02123 loss_rpn_cls: 0.001133 loss_rpn_loc: 0.001052 loss_D_img_s: 6.961e-06 time: 0.7817 last_time: 0.7962 data_time: 0.0222 last_data_time: 0.0142 lr: 0.02 max_mem: 10548M +[04/09 21:31:56] d2.utils.events INFO: eta: 9:55:42 iter: 5319 total_loss: 0.04169 loss_cls: 0.009586 loss_box_reg: 0.02674 loss_rpn_cls: 0.002087 loss_rpn_loc: 0.001228 loss_D_img_s: 7.22e-06 time: 0.7818 last_time: 0.7363 data_time: 0.0207 last_data_time: 0.0151 lr: 0.02 max_mem: 10548M +[04/09 21:32:12] d2.utils.events INFO: eta: 9:55:02 iter: 5339 total_loss: 0.03547 loss_cls: 0.01036 loss_box_reg: 0.023 loss_rpn_cls: 0.001756 loss_rpn_loc: 0.0009767 loss_D_img_s: 7.334e-06 time: 0.7818 last_time: 0.7750 data_time: 0.0212 last_data_time: 0.0147 lr: 0.02 max_mem: 10548M +[04/09 21:32:29] d2.utils.events INFO: eta: 9:54:34 iter: 5359 total_loss: 0.03654 loss_cls: 0.01043 loss_box_reg: 0.02471 loss_rpn_cls: 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lr: 0.02 max_mem: 10548M +[04/09 21:33:33] d2.utils.events INFO: eta: 9:53:05 iter: 5439 total_loss: 0.04516 loss_cls: 0.0103 loss_box_reg: 0.02714 loss_rpn_cls: 0.002821 loss_rpn_loc: 0.001462 loss_D_img_s: 6.936e-06 time: 0.7822 last_time: 0.8102 data_time: 0.0204 last_data_time: 0.0137 lr: 0.02 max_mem: 10548M +[04/09 21:33:49] d2.utils.events INFO: eta: 9:52:32 iter: 5459 total_loss: 0.03814 loss_cls: 0.009432 loss_box_reg: 0.02328 loss_rpn_cls: 0.001826 loss_rpn_loc: 0.0009202 loss_D_img_s: 7.023e-06 time: 0.7823 last_time: 0.7578 data_time: 0.0217 last_data_time: 0.0168 lr: 0.02 max_mem: 10548M +[04/09 21:34:05] d2.utils.events INFO: eta: 9:51:52 iter: 5479 total_loss: 0.04187 loss_cls: 0.009831 loss_box_reg: 0.02657 loss_rpn_cls: 0.002035 loss_rpn_loc: 0.001245 loss_D_img_s: 7.3e-06 time: 0.7823 last_time: 0.7879 data_time: 0.0224 last_data_time: 0.0201 lr: 0.02 max_mem: 10548M +[04/09 21:34:21] d2.utils.events INFO: eta: 9:51:28 iter: 5499 total_loss: 0.03847 loss_cls: 0.009336 loss_box_reg: 0.02463 loss_rpn_cls: 0.001812 loss_rpn_loc: 0.0009552 loss_D_img_s: 7.305e-06 time: 0.7824 last_time: 0.8275 data_time: 0.0198 last_data_time: 0.0148 lr: 0.02 max_mem: 10548M +[04/09 21:34:37] d2.utils.events INFO: eta: 9:51:05 iter: 5519 total_loss: 0.03534 loss_cls: 0.008638 loss_box_reg: 0.02222 loss_rpn_cls: 0.002119 loss_rpn_loc: 0.001092 loss_D_img_s: 7.204e-06 time: 0.7825 last_time: 0.8369 data_time: 0.0207 last_data_time: 0.0270 lr: 0.02 max_mem: 10548M +[04/09 21:34:53] d2.utils.events INFO: eta: 9:51:12 iter: 5539 total_loss: 0.03831 loss_cls: 0.01022 loss_box_reg: 0.02212 loss_rpn_cls: 0.00206 loss_rpn_loc: 0.001101 loss_D_img_s: 6.956e-06 time: 0.7826 last_time: 0.7222 data_time: 0.0223 last_data_time: 0.0350 lr: 0.02 max_mem: 10548M +[04/09 21:35:09] d2.utils.events INFO: eta: 9:50:23 iter: 5559 total_loss: 0.03255 loss_cls: 0.007445 loss_box_reg: 0.02012 loss_rpn_cls: 0.001574 loss_rpn_loc: 0.001124 loss_D_img_s: 6.681e-06 time: 0.7827 last_time: 0.9655 data_time: 0.0192 last_data_time: 0.0152 lr: 0.02 max_mem: 10548M +[04/09 21:35:26] d2.utils.events INFO: eta: 9:50:05 iter: 5579 total_loss: 0.04112 loss_cls: 0.009677 loss_box_reg: 0.02395 loss_rpn_cls: 0.002666 loss_rpn_loc: 0.001168 loss_D_img_s: 6.705e-06 time: 0.7829 last_time: 0.9205 data_time: 0.0297 last_data_time: 0.0141 lr: 0.02 max_mem: 10548M +[04/09 21:35:42] d2.utils.events INFO: eta: 9:49:26 iter: 5599 total_loss: 0.03956 loss_cls: 0.01152 loss_box_reg: 0.0251 loss_rpn_cls: 0.00221 loss_rpn_loc: 0.001027 loss_D_img_s: 6.669e-06 time: 0.7829 last_time: 0.8072 data_time: 0.0185 last_data_time: 0.0150 lr: 0.02 max_mem: 10548M +[04/09 21:35:58] d2.utils.events INFO: eta: 9:49:21 iter: 5619 total_loss: 0.0424 loss_cls: 0.01106 loss_box_reg: 0.02723 loss_rpn_cls: 0.002449 loss_rpn_loc: 0.001017 loss_D_img_s: 6.952e-06 time: 0.7830 last_time: 0.7618 data_time: 0.0218 last_data_time: 0.0141 lr: 0.02 max_mem: 10548M +[04/09 21:36:14] d2.utils.events INFO: eta: 9:49:27 iter: 5639 total_loss: 0.03519 loss_cls: 0.008746 loss_box_reg: 0.0231 loss_rpn_cls: 0.001905 loss_rpn_loc: 0.0008273 loss_D_img_s: 6.653e-06 time: 0.7831 last_time: 0.8141 data_time: 0.0212 last_data_time: 0.0208 lr: 0.02 max_mem: 10548M +[04/09 21:36:30] d2.utils.events INFO: eta: 9:49:11 iter: 5659 total_loss: 0.02978 loss_cls: 0.007444 loss_box_reg: 0.01845 loss_rpn_cls: 0.001672 loss_rpn_loc: 0.0009363 loss_D_img_s: 6.45e-06 time: 0.7832 last_time: 0.8155 data_time: 0.0210 last_data_time: 0.0259 lr: 0.02 max_mem: 10548M +[04/09 21:36:47] d2.utils.events INFO: eta: 9:48:57 iter: 5679 total_loss: 0.03256 loss_cls: 0.00803 loss_box_reg: 0.02144 loss_rpn_cls: 0.001932 loss_rpn_loc: 0.00115 loss_D_img_s: 7.044e-06 time: 0.7833 last_time: 0.9627 data_time: 0.0210 last_data_time: 0.0294 lr: 0.02 max_mem: 10548M +[04/09 21:37:03] d2.utils.events INFO: eta: 9:48:33 iter: 5699 total_loss: 0.03817 loss_cls: 0.01023 loss_box_reg: 0.02215 loss_rpn_cls: 0.002047 loss_rpn_loc: 0.001156 loss_D_img_s: 6.698e-06 time: 0.7834 last_time: 0.7765 data_time: 0.0300 last_data_time: 0.0322 lr: 0.02 max_mem: 10548M +[04/09 21:37:19] d2.utils.events INFO: eta: 9:48:15 iter: 5719 total_loss: 0.03693 loss_cls: 0.008879 loss_box_reg: 0.02358 loss_rpn_cls: 0.00198 loss_rpn_loc: 0.0009514 loss_D_img_s: 6.623e-06 time: 0.7834 last_time: 0.7950 data_time: 0.0198 last_data_time: 0.0165 lr: 0.02 max_mem: 10548M +[04/09 21:37:35] d2.utils.events INFO: eta: 9:47:54 iter: 5739 total_loss: 0.0417 loss_cls: 0.01077 loss_box_reg: 0.02565 loss_rpn_cls: 0.002236 loss_rpn_loc: 0.001317 loss_D_img_s: 6.509e-06 time: 0.7835 last_time: 0.7877 data_time: 0.0254 last_data_time: 0.0202 lr: 0.02 max_mem: 10548M +[04/09 21:37:51] d2.utils.events INFO: eta: 9:47:43 iter: 5759 total_loss: 0.035 loss_cls: 0.008815 loss_box_reg: 0.02238 loss_rpn_cls: 0.00148 loss_rpn_loc: 0.0009144 loss_D_img_s: 6.659e-06 time: 0.7835 last_time: 0.7966 data_time: 0.0204 last_data_time: 0.0195 lr: 0.02 max_mem: 10548M +[04/09 21:38:07] d2.utils.events INFO: eta: 9:47:27 iter: 5779 total_loss: 0.03437 loss_cls: 0.007091 loss_box_reg: 0.02399 loss_rpn_cls: 0.001464 loss_rpn_loc: 0.001156 loss_D_img_s: 6.827e-06 time: 0.7836 last_time: 0.7631 data_time: 0.0224 last_data_time: 0.0131 lr: 0.02 max_mem: 10548M +[04/09 21:38:23] d2.utils.events INFO: eta: 9:47:11 iter: 5799 total_loss: 0.03428 loss_cls: 0.009495 loss_box_reg: 0.02373 loss_rpn_cls: 0.00178 loss_rpn_loc: 0.001078 loss_D_img_s: 6.426e-06 time: 0.7837 last_time: 0.8461 data_time: 0.0212 last_data_time: 0.0130 lr: 0.02 max_mem: 10548M +[04/09 21:38:39] d2.utils.events INFO: eta: 9:47:08 iter: 5819 total_loss: 0.03542 loss_cls: 0.007179 loss_box_reg: 0.02265 loss_rpn_cls: 0.001549 loss_rpn_loc: 0.0009238 loss_D_img_s: 6.527e-06 time: 0.7838 last_time: 0.8260 data_time: 0.0258 last_data_time: 0.0176 lr: 0.02 max_mem: 10548M +[04/09 21:38:55] d2.utils.events INFO: eta: 9:46:14 iter: 5839 total_loss: 0.03737 loss_cls: 0.01018 loss_box_reg: 0.02428 loss_rpn_cls: 0.0022 loss_rpn_loc: 0.001089 loss_D_img_s: 6.552e-06 time: 0.7839 last_time: 0.7644 data_time: 0.0306 last_data_time: 0.0150 lr: 0.02 max_mem: 10548M +[04/09 21:39:12] d2.utils.events INFO: eta: 9:46:15 iter: 5859 total_loss: 0.03771 loss_cls: 0.008403 loss_box_reg: 0.02291 loss_rpn_cls: 0.00179 loss_rpn_loc: 0.001171 loss_D_img_s: 6.296e-06 time: 0.7840 last_time: 0.7362 data_time: 0.0206 last_data_time: 0.0151 lr: 0.02 max_mem: 10548M +[04/09 21:39:28] d2.utils.events INFO: eta: 9:46:03 iter: 5879 total_loss: 0.03337 loss_cls: 0.007995 loss_box_reg: 0.02184 loss_rpn_cls: 0.001523 loss_rpn_loc: 0.001018 loss_D_img_s: 6.427e-06 time: 0.7841 last_time: 0.8206 data_time: 0.0204 last_data_time: 0.0138 lr: 0.02 max_mem: 10548M +[04/09 21:39:44] d2.utils.events INFO: eta: 9:45:26 iter: 5899 total_loss: 0.04253 loss_cls: 0.008863 loss_box_reg: 0.02238 loss_rpn_cls: 0.001678 loss_rpn_loc: 0.001296 loss_D_img_s: 6.35e-06 time: 0.7841 last_time: 0.7863 data_time: 0.0206 last_data_time: 0.0143 lr: 0.02 max_mem: 10548M +[04/09 21:40:00] d2.utils.events INFO: eta: 9:45:20 iter: 5919 total_loss: 0.03237 loss_cls: 0.006871 loss_box_reg: 0.02005 loss_rpn_cls: 0.00207 loss_rpn_loc: 0.001216 loss_D_img_s: 6.596e-06 time: 0.7842 last_time: 0.7760 data_time: 0.0208 last_data_time: 0.0139 lr: 0.02 max_mem: 10548M +[04/09 21:40:16] d2.utils.events INFO: eta: 9:45:04 iter: 5939 total_loss: 0.0365 loss_cls: 0.01016 loss_box_reg: 0.02424 loss_rpn_cls: 0.001514 loss_rpn_loc: 0.001008 loss_D_img_s: 6.188e-06 time: 0.7843 last_time: 0.8047 data_time: 0.0196 last_data_time: 0.0143 lr: 0.02 max_mem: 10548M +[04/09 21:40:33] d2.utils.events INFO: eta: 9:45:03 iter: 5959 total_loss: 0.03611 loss_cls: 0.009142 loss_box_reg: 0.0229 loss_rpn_cls: 0.00238 loss_rpn_loc: 0.001225 loss_D_img_s: 6.388e-06 time: 0.7844 last_time: 0.7846 data_time: 0.0204 last_data_time: 0.0151 lr: 0.02 max_mem: 10548M +[04/09 21:40:49] d2.utils.events INFO: eta: 9:44:48 iter: 5979 total_loss: 0.03159 loss_cls: 0.006715 loss_box_reg: 0.02184 loss_rpn_cls: 0.001255 loss_rpn_loc: 0.0009787 loss_D_img_s: 6.104e-06 time: 0.7845 last_time: 0.8036 data_time: 0.0199 last_data_time: 0.0400 lr: 0.02 max_mem: 10548M +[04/09 21:41:05] d2.data.common INFO: Serializing the dataset using: +[04/09 21:41:05] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 21:41:05] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 21:41:05] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 21:41:05] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 21:41:06] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0054 s/iter. Inference: 0.0595 s/iter. Eval: 0.0002 s/iter. Total: 0.0650 s/iter. ETA=0:00:25 +[04/09 21:41:11] d2.evaluation.evaluator INFO: Inference done 82/410. Dataloading: 0.0122 s/iter. Inference: 0.0579 s/iter. Eval: 0.0003 s/iter. Total: 0.0704 s/iter. ETA=0:00:23 +[04/09 21:41:16] d2.evaluation.evaluator INFO: Inference done 156/410. Dataloading: 0.0103 s/iter. Inference: 0.0585 s/iter. Eval: 0.0003 s/iter. Total: 0.0692 s/iter. ETA=0:00:17 +[04/09 21:41:21] d2.evaluation.evaluator INFO: Inference done 228/410. Dataloading: 0.0113 s/iter. Inference: 0.0576 s/iter. Eval: 0.0003 s/iter. Total: 0.0693 s/iter. ETA=0:00:12 +[04/09 21:41:27] d2.evaluation.evaluator INFO: Inference done 310/410. Dataloading: 0.0102 s/iter. Inference: 0.0567 s/iter. Eval: 0.0002 s/iter. Total: 0.0672 s/iter. ETA=0:00:06 +[04/09 21:41:32] d2.evaluation.evaluator INFO: Inference done 388/410. Dataloading: 0.0102 s/iter. Inference: 0.0562 s/iter. Eval: 0.0002 s/iter. Total: 0.0667 s/iter. ETA=0:00:01 +[04/09 21:41:33] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.973909 (0.066602 s / iter per device, on 1 devices) +[04/09 21:41:33] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.056303 s / iter per device, on 1 devices) +[04/09 21:41:33] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 21:41:33] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 21:41:33] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 21:41:33] d2.evaluation.testing INFO: copypaste: 0.2744,1.6594,0.0000 +[04/09 21:41:33] d2.data.common INFO: Serializing the dataset using: +[04/09 21:41:33] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 21:41:33] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 21:41:33] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 21:41:33] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 21:41:37] d2.evaluation.evaluator INFO: Inference done 39/410. Dataloading: 0.0188 s/iter. Inference: 0.0602 s/iter. Eval: 0.0002 s/iter. Total: 0.0792 s/iter. ETA=0:00:29 +[04/09 21:41:42] d2.evaluation.evaluator INFO: Inference done 98/410. Dataloading: 0.0158 s/iter. Inference: 0.0667 s/iter. Eval: 0.0002 s/iter. Total: 0.0828 s/iter. ETA=0:00:25 +[04/09 21:41:47] d2.evaluation.evaluator INFO: Inference done 175/410. Dataloading: 0.0122 s/iter. Inference: 0.0624 s/iter. Eval: 0.0002 s/iter. Total: 0.0748 s/iter. ETA=0:00:17 +[04/09 21:41:52] d2.evaluation.evaluator INFO: Inference done 248/410. Dataloading: 0.0109 s/iter. Inference: 0.0618 s/iter. Eval: 0.0002 s/iter. Total: 0.0730 s/iter. ETA=0:00:11 +[04/09 21:41:57] d2.evaluation.evaluator INFO: Inference done 325/410. Dataloading: 0.0102 s/iter. Inference: 0.0607 s/iter. Eval: 0.0002 s/iter. Total: 0.0712 s/iter. ETA=0:00:06 +[04/09 21:42:02] d2.evaluation.evaluator INFO: Inference done 396/410. Dataloading: 0.0100 s/iter. Inference: 0.0609 s/iter. Eval: 0.0002 s/iter. Total: 0.0711 s/iter. ETA=0:00:00 +[04/09 21:42:03] d2.evaluation.evaluator INFO: Total inference time: 0:00:28.733061 (0.070946 s / iter per device, on 1 devices) +[04/09 21:42:03] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:24 (0.060715 s / iter per device, on 1 devices) +[04/09 21:42:03] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 21:42:03] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 21:42:03] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 21:42:03] d2.evaluation.testing INFO: copypaste: 0.6664,2.5239,0.0487 +[04/09 21:42:03] d2.utils.events INFO: eta: 9:44:32 iter: 5999 total_loss: 0.04482 loss_cls: 0.0114 loss_box_reg: 0.02612 loss_rpn_cls: 0.00278 loss_rpn_loc: 0.001215 loss_D_img_s: 6.49e-06 time: 0.7846 last_time: 0.8110 data_time: 0.0191 last_data_time: 0.0134 lr: 0.02 max_mem: 10548M +[04/09 21:42:18] d2.utils.events INFO: eta: 9:44:05 iter: 6019 total_loss: 0.03744 loss_cls: 0.01013 loss_box_reg: 0.02423 loss_rpn_cls: 0.001925 loss_rpn_loc: 0.0009843 loss_D_img_s: 6.57e-06 time: 0.7844 last_time: 0.8178 data_time: 0.0366 last_data_time: 0.0152 lr: 0.02 max_mem: 10548M +[04/09 21:42:34] d2.utils.events INFO: eta: 9:43:49 iter: 6039 total_loss: 0.04056 loss_cls: 0.01157 loss_box_reg: 0.02405 loss_rpn_cls: 0.001881 loss_rpn_loc: 0.001073 loss_D_img_s: 6.378e-06 time: 0.7845 last_time: 0.7994 data_time: 0.0201 last_data_time: 0.0185 lr: 0.02 max_mem: 10548M +[04/09 21:42:50] d2.utils.events INFO: eta: 9:43:43 iter: 6059 total_loss: 0.03659 loss_cls: 0.01018 loss_box_reg: 0.0242 loss_rpn_cls: 0.001969 loss_rpn_loc: 0.001069 loss_D_img_s: 6.469e-06 time: 0.7846 last_time: 0.7960 data_time: 0.0192 last_data_time: 0.0171 lr: 0.02 max_mem: 10548M +[04/09 21:43:06] d2.utils.events INFO: eta: 9:43:41 iter: 6079 total_loss: 0.03595 loss_cls: 0.008486 loss_box_reg: 0.02384 loss_rpn_cls: 0.001726 loss_rpn_loc: 0.001325 loss_D_img_s: 6.063e-06 time: 0.7847 last_time: 0.9399 data_time: 0.0211 last_data_time: 0.0438 lr: 0.02 max_mem: 10548M +[04/09 21:43:22] d2.utils.events INFO: eta: 9:43:45 iter: 6099 total_loss: 0.03687 loss_cls: 0.008075 loss_box_reg: 0.02247 loss_rpn_cls: 0.001908 loss_rpn_loc: 0.001266 loss_D_img_s: 6.23e-06 time: 0.7848 last_time: 0.7593 data_time: 0.0180 last_data_time: 0.0156 lr: 0.02 max_mem: 10548M +[04/09 21:43:39] d2.utils.events INFO: eta: 9:43:29 iter: 6119 total_loss: 0.03664 loss_cls: 0.009777 loss_box_reg: 0.0242 loss_rpn_cls: 0.002481 loss_rpn_loc: 0.001302 loss_D_img_s: 6.273e-06 time: 0.7849 last_time: 0.7997 data_time: 0.0218 last_data_time: 0.0161 lr: 0.02 max_mem: 10548M +[04/09 21:43:55] d2.utils.events INFO: eta: 9:42:39 iter: 6139 total_loss: 0.03566 loss_cls: 0.007994 loss_box_reg: 0.02134 loss_rpn_cls: 0.001888 loss_rpn_loc: 0.0008444 loss_D_img_s: 6.636e-06 time: 0.7849 last_time: 0.7783 data_time: 0.0224 last_data_time: 0.0157 lr: 0.02 max_mem: 10548M +[04/09 21:44:11] d2.utils.events INFO: eta: 9:42:30 iter: 6159 total_loss: 0.04099 loss_cls: 0.01062 loss_box_reg: 0.02623 loss_rpn_cls: 0.001408 loss_rpn_loc: 0.001019 loss_D_img_s: 6.038e-06 time: 0.7849 last_time: 0.7978 data_time: 0.0204 last_data_time: 0.0282 lr: 0.02 max_mem: 10548M +[04/09 21:44:27] d2.utils.events INFO: eta: 9:42:04 iter: 6179 total_loss: 0.04214 loss_cls: 0.01145 loss_box_reg: 0.02557 loss_rpn_cls: 0.002161 loss_rpn_loc: 0.001013 loss_D_img_s: 6.5e-06 time: 0.7851 last_time: 0.9923 data_time: 0.0163 last_data_time: 0.0136 lr: 0.02 max_mem: 10548M +[04/09 21:44:44] d2.utils.events INFO: eta: 9:42:09 iter: 6199 total_loss: 0.03487 loss_cls: 0.007711 loss_box_reg: 0.02262 loss_rpn_cls: 0.001492 loss_rpn_loc: 0.0009912 loss_D_img_s: 6.195e-06 time: 0.7853 last_time: 0.7694 data_time: 0.0239 last_data_time: 0.0146 lr: 0.02 max_mem: 10548M +[04/09 21:45:00] d2.utils.events INFO: eta: 9:42:07 iter: 6219 total_loss: 0.03701 loss_cls: 0.008479 loss_box_reg: 0.02177 loss_rpn_cls: 0.001724 loss_rpn_loc: 0.001198 loss_D_img_s: 6.174e-06 time: 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INFO: eta: 9:41:41 iter: 6299 total_loss: 0.03597 loss_cls: 0.008024 loss_box_reg: 0.02215 loss_rpn_cls: 0.001598 loss_rpn_loc: 0.0009651 loss_D_img_s: 6.113e-06 time: 0.7858 last_time: 0.8044 data_time: 0.0197 last_data_time: 0.0261 lr: 0.02 max_mem: 10548M +[04/09 21:46:22] d2.utils.events INFO: eta: 9:41:26 iter: 6319 total_loss: 0.03796 loss_cls: 0.01011 loss_box_reg: 0.02278 loss_rpn_cls: 0.002299 loss_rpn_loc: 0.0009676 loss_D_img_s: 6.152e-06 time: 0.7859 last_time: 0.7807 data_time: 0.0219 last_data_time: 0.0164 lr: 0.02 max_mem: 10548M +[04/09 21:46:38] d2.utils.events INFO: eta: 9:41:46 iter: 6339 total_loss: 0.04162 loss_cls: 0.01163 loss_box_reg: 0.02471 loss_rpn_cls: 0.002194 loss_rpn_loc: 0.001021 loss_D_img_s: 5.96e-06 time: 0.7860 last_time: 0.8651 data_time: 0.0224 last_data_time: 0.0152 lr: 0.02 max_mem: 10548M +[04/09 21:46:55] d2.utils.events INFO: eta: 9:41:32 iter: 6359 total_loss: 0.03475 loss_cls: 0.008154 loss_box_reg: 0.02192 loss_rpn_cls: 0.001699 loss_rpn_loc: 0.001012 loss_D_img_s: 5.986e-06 time: 0.7861 last_time: 0.8253 data_time: 0.0209 last_data_time: 0.0157 lr: 0.02 max_mem: 10548M +[04/09 21:47:12] d2.utils.events INFO: eta: 9:42:12 iter: 6379 total_loss: 0.02861 loss_cls: 0.007497 loss_box_reg: 0.02082 loss_rpn_cls: 0.001139 loss_rpn_loc: 0.000971 loss_D_img_s: 6.233e-06 time: 0.7862 last_time: 0.8170 data_time: 0.0202 last_data_time: 0.0161 lr: 0.02 max_mem: 10548M +[04/09 21:47:28] d2.utils.events INFO: eta: 9:41:36 iter: 6399 total_loss: 0.0307 loss_cls: 0.007266 loss_box_reg: 0.01938 loss_rpn_cls: 0.001659 loss_rpn_loc: 0.001 loss_D_img_s: 6.055e-06 time: 0.7862 last_time: 0.7880 data_time: 0.0253 last_data_time: 0.0308 lr: 0.02 max_mem: 10548M +[04/09 21:47:44] d2.utils.events INFO: eta: 9:41:40 iter: 6419 total_loss: 0.0324 loss_cls: 0.008143 loss_box_reg: 0.0215 loss_rpn_cls: 0.001238 loss_rpn_loc: 0.001014 loss_D_img_s: 6.081e-06 time: 0.7864 last_time: 0.8063 data_time: 0.0208 last_data_time: 0.0161 lr: 0.02 max_mem: 10548M +[04/09 21:48:01] d2.utils.events INFO: eta: 9:42:06 iter: 6439 total_loss: 0.03823 loss_cls: 0.00816 loss_box_reg: 0.02278 loss_rpn_cls: 0.002021 loss_rpn_loc: 0.001232 loss_D_img_s: 5.96e-06 time: 0.7865 last_time: 0.8042 data_time: 0.0241 last_data_time: 0.0160 lr: 0.02 max_mem: 10548M +[04/09 21:48:17] d2.utils.events INFO: eta: 9:42:01 iter: 6459 total_loss: 0.02891 loss_cls: 0.006329 loss_box_reg: 0.019 loss_rpn_cls: 0.0009564 loss_rpn_loc: 0.00114 loss_D_img_s: 5.711e-06 time: 0.7866 last_time: 0.8548 data_time: 0.0276 last_data_time: 0.0153 lr: 0.02 max_mem: 10548M +[04/09 21:48:33] d2.utils.events INFO: eta: 9:42:25 iter: 6479 total_loss: 0.0354 loss_cls: 0.009101 loss_box_reg: 0.02223 loss_rpn_cls: 0.001673 loss_rpn_loc: 0.001172 loss_D_img_s: 5.909e-06 time: 0.7866 last_time: 0.8156 data_time: 0.0220 last_data_time: 0.0143 lr: 0.02 max_mem: 10548M +[04/09 21:48:50] d2.utils.events INFO: eta: 9:42:15 iter: 6499 total_loss: 0.0319 loss_cls: 0.008784 loss_box_reg: 0.01801 loss_rpn_cls: 0.002062 loss_rpn_loc: 0.0008504 loss_D_img_s: 6.022e-06 time: 0.7868 last_time: 1.0691 data_time: 0.0180 last_data_time: 0.0145 lr: 0.02 max_mem: 10548M +[04/09 21:49:06] d2.utils.events INFO: eta: 9:42:14 iter: 6519 total_loss: 0.03845 loss_cls: 0.008445 loss_box_reg: 0.02579 loss_rpn_cls: 0.002638 loss_rpn_loc: 0.001252 loss_D_img_s: 5.901e-06 time: 0.7869 last_time: 0.8462 data_time: 0.0269 last_data_time: 0.0194 lr: 0.02 max_mem: 10548M +[04/09 21:49:23] d2.utils.events INFO: eta: 9:41:40 iter: 6539 total_loss: 0.03291 loss_cls: 0.007912 loss_box_reg: 0.02114 loss_rpn_cls: 0.001529 loss_rpn_loc: 0.001118 loss_D_img_s: 5.922e-06 time: 0.7871 last_time: 0.7810 data_time: 0.0294 last_data_time: 0.0409 lr: 0.02 max_mem: 10548M +[04/09 21:49:40] d2.utils.events INFO: eta: 9:41:52 iter: 6559 total_loss: 0.03249 loss_cls: 0.007354 loss_box_reg: 0.02159 loss_rpn_cls: 0.001298 loss_rpn_loc: 0.000996 loss_D_img_s: 6.093e-06 time: 0.7872 last_time: 0.7926 data_time: 0.0255 last_data_time: 0.0142 lr: 0.02 max_mem: 10548M +[04/09 21:49:56] d2.utils.events INFO: eta: 9:41:32 iter: 6579 total_loss: 0.0341 loss_cls: 0.009076 loss_box_reg: 0.0218 loss_rpn_cls: 0.002058 loss_rpn_loc: 0.0009423 loss_D_img_s: 6.009e-06 time: 0.7874 last_time: 0.8267 data_time: 0.0194 last_data_time: 0.0145 lr: 0.02 max_mem: 10548M +[04/09 21:50:13] d2.utils.events INFO: eta: 9:41:10 iter: 6599 total_loss: 0.02707 loss_cls: 0.006652 loss_box_reg: 0.01953 loss_rpn_cls: 0.001024 loss_rpn_loc: 0.0009125 loss_D_img_s: 5.869e-06 time: 0.7874 last_time: 0.7598 data_time: 0.0206 last_data_time: 0.0158 lr: 0.02 max_mem: 10548M +[04/09 21:50:30] d2.utils.events INFO: eta: 9:41:01 iter: 6619 total_loss: 0.03659 loss_cls: 0.008881 loss_box_reg: 0.0235 loss_rpn_cls: 0.002452 loss_rpn_loc: 0.00116 loss_D_img_s: 6.003e-06 time: 0.7876 last_time: 0.8093 data_time: 0.0257 last_data_time: 0.0411 lr: 0.02 max_mem: 10548M +[04/09 21:50:46] d2.utils.events INFO: eta: 9:41:00 iter: 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5.718e-06 time: 0.7880 last_time: 0.8110 data_time: 0.0258 last_data_time: 0.0154 lr: 0.02 max_mem: 10548M +[04/09 21:51:52] d2.utils.events INFO: eta: 9:42:40 iter: 6719 total_loss: 0.03021 loss_cls: 0.005931 loss_box_reg: 0.02048 loss_rpn_cls: 0.001381 loss_rpn_loc: 0.0009669 loss_D_img_s: 5.635e-06 time: 0.7882 last_time: 0.8029 data_time: 0.0185 last_data_time: 0.0139 lr: 0.02 max_mem: 10548M +[04/09 21:52:09] d2.utils.events INFO: eta: 9:42:42 iter: 6739 total_loss: 0.02899 loss_cls: 0.00753 loss_box_reg: 0.02098 loss_rpn_cls: 0.001569 loss_rpn_loc: 0.001053 loss_D_img_s: 5.745e-06 time: 0.7883 last_time: 0.7674 data_time: 0.0234 last_data_time: 0.0345 lr: 0.02 max_mem: 10548M +[04/09 21:52:25] d2.utils.events INFO: eta: 9:42:13 iter: 6759 total_loss: 0.0373 loss_cls: 0.008006 loss_box_reg: 0.0236 loss_rpn_cls: 0.001768 loss_rpn_loc: 0.0008833 loss_D_img_s: 5.637e-06 time: 0.7884 last_time: 1.0868 data_time: 0.0235 last_data_time: 0.0510 lr: 0.02 max_mem: 10548M +[04/09 21:52:42] d2.utils.events INFO: eta: 9:42:03 iter: 6779 total_loss: 0.03443 loss_cls: 0.00704 loss_box_reg: 0.02356 loss_rpn_cls: 0.002141 loss_rpn_loc: 0.001002 loss_D_img_s: 5.428e-06 time: 0.7885 last_time: 0.8145 data_time: 0.0271 last_data_time: 0.0345 lr: 0.02 max_mem: 10548M +[04/09 21:52:59] d2.utils.events INFO: eta: 9:41:35 iter: 6799 total_loss: 0.03315 loss_cls: 0.007419 loss_box_reg: 0.02113 loss_rpn_cls: 0.002399 loss_rpn_loc: 0.001316 loss_D_img_s: 5.455e-06 time: 0.7887 last_time: 0.8241 data_time: 0.0322 last_data_time: 0.0183 lr: 0.02 max_mem: 10548M +[04/09 21:53:15] d2.utils.events INFO: eta: 9:41:00 iter: 6819 total_loss: 0.03038 loss_cls: 0.007031 loss_box_reg: 0.02029 loss_rpn_cls: 0.001309 loss_rpn_loc: 0.0008845 loss_D_img_s: 5.638e-06 time: 0.7887 last_time: 0.8069 data_time: 0.0205 last_data_time: 0.0162 lr: 0.02 max_mem: 10548M +[04/09 21:53:31] d2.utils.events INFO: eta: 9:40:52 iter: 6839 total_loss: 0.02982 loss_cls: 0.006885 loss_box_reg: 0.01958 loss_rpn_cls: 0.002244 loss_rpn_loc: 0.001085 loss_D_img_s: 5.683e-06 time: 0.7888 last_time: 0.8803 data_time: 0.0212 last_data_time: 0.0184 lr: 0.02 max_mem: 10548M +[04/09 21:53:48] d2.utils.events INFO: eta: 9:40:39 iter: 6859 total_loss: 0.03326 loss_cls: 0.007939 loss_box_reg: 0.02175 loss_rpn_cls: 0.001577 loss_rpn_loc: 0.001062 loss_D_img_s: 5.608e-06 time: 0.7889 last_time: 0.8836 data_time: 0.0254 last_data_time: 0.0141 lr: 0.02 max_mem: 10548M +[04/09 21:54:04] d2.utils.events INFO: eta: 9:40:46 iter: 6879 total_loss: 0.03436 loss_cls: 0.008778 loss_box_reg: 0.02144 loss_rpn_cls: 0.002029 loss_rpn_loc: 0.0009875 loss_D_img_s: 5.708e-06 time: 0.7890 last_time: 0.7473 data_time: 0.0251 last_data_time: 0.0166 lr: 0.02 max_mem: 10548M +[04/09 21:54:21] d2.utils.events INFO: eta: 9:40:35 iter: 6899 total_loss: 0.02766 loss_cls: 0.006113 loss_box_reg: 0.01726 loss_rpn_cls: 0.001191 loss_rpn_loc: 0.001056 loss_D_img_s: 5.241e-06 time: 0.7891 last_time: 0.8317 data_time: 0.0212 last_data_time: 0.0181 lr: 0.02 max_mem: 10548M +[04/09 21:54:37] d2.utils.events INFO: eta: 9:40:17 iter: 6919 total_loss: 0.03026 loss_cls: 0.007181 loss_box_reg: 0.01856 loss_rpn_cls: 0.001314 loss_rpn_loc: 0.000781 loss_D_img_s: 5.711e-06 time: 0.7892 last_time: 0.9082 data_time: 0.0246 last_data_time: 0.0195 lr: 0.02 max_mem: 10548M +[04/09 21:54:54] d2.utils.events INFO: eta: 9:40:10 iter: 6939 total_loss: 0.03371 loss_cls: 0.00736 loss_box_reg: 0.02348 loss_rpn_cls: 0.001816 loss_rpn_loc: 0.0009714 loss_D_img_s: 5.271e-06 time: 0.7893 last_time: 0.8244 data_time: 0.0238 last_data_time: 0.0262 lr: 0.02 max_mem: 10548M +[04/09 21:55:10] d2.utils.events INFO: eta: 9:39:54 iter: 6959 total_loss: 0.03939 loss_cls: 0.01002 loss_box_reg: 0.0259 loss_rpn_cls: 0.00276 loss_rpn_loc: 0.0008047 loss_D_img_s: 5.646e-06 time: 0.7894 last_time: 0.8095 data_time: 0.0279 last_data_time: 0.0589 lr: 0.02 max_mem: 10548M +[04/09 21:55:27] d2.utils.events INFO: eta: 9:40:07 iter: 6979 total_loss: 0.0334 loss_cls: 0.007989 loss_box_reg: 0.02321 loss_rpn_cls: 0.001859 loss_rpn_loc: 0.001114 loss_D_img_s: 5.485e-06 time: 0.7895 last_time: 0.7904 data_time: 0.0277 last_data_time: 0.0255 lr: 0.02 max_mem: 10548M +[04/09 21:55:43] d2.data.common INFO: Serializing the dataset using: +[04/09 21:55:43] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 21:55:43] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 21:55:43] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 21:55:43] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 21:55:45] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0126 s/iter. Inference: 0.0579 s/iter. Eval: 0.0001 s/iter. Total: 0.0706 s/iter. ETA=0:00:28 +[04/09 21:55:50] d2.evaluation.evaluator INFO: Inference done 80/410. Dataloading: 0.0154 s/iter. Inference: 0.0573 s/iter. Eval: 0.0002 s/iter. Total: 0.0729 s/iter. ETA=0:00:24 +[04/09 21:55:55] d2.evaluation.evaluator INFO: Inference done 153/410. Dataloading: 0.0120 s/iter. Inference: 0.0589 s/iter. Eval: 0.0002 s/iter. Total: 0.0711 s/iter. ETA=0:00:18 +[04/09 21:56:00] d2.evaluation.evaluator INFO: Inference done 226/410. Dataloading: 0.0110 s/iter. Inference: 0.0593 s/iter. Eval: 0.0002 s/iter. Total: 0.0706 s/iter. ETA=0:00:12 +[04/09 21:56:05] d2.evaluation.evaluator INFO: Inference done 308/410. Dataloading: 0.0099 s/iter. Inference: 0.0580 s/iter. Eval: 0.0002 s/iter. Total: 0.0681 s/iter. ETA=0:00:06 +[04/09 21:56:10] d2.evaluation.evaluator INFO: Inference done 382/410. Dataloading: 0.0092 s/iter. Inference: 0.0586 s/iter. Eval: 0.0002 s/iter. Total: 0.0681 s/iter. ETA=0:00:01 +[04/09 21:56:12] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.520575 (0.067952 s / iter per device, on 1 devices) +[04/09 21:56:12] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.058460 s / iter per device, on 1 devices) +[04/09 21:56:12] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 21:56:12] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 21:56:12] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 21:56:12] d2.evaluation.testing INFO: copypaste: 0.7276,3.7304,0.1406 +[04/09 21:56:12] d2.data.common INFO: Serializing the dataset using: +[04/09 21:56:12] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 21:56:12] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 21:56:12] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 21:56:12] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 21:56:15] d2.evaluation.evaluator INFO: Inference done 37/410. Dataloading: 0.0186 s/iter. Inference: 0.0525 s/iter. Eval: 0.0002 s/iter. Total: 0.0713 s/iter. ETA=0:00:26 +[04/09 21:56:20] d2.evaluation.evaluator INFO: Inference done 113/410. Dataloading: 0.0122 s/iter. Inference: 0.0551 s/iter. Eval: 0.0002 s/iter. Total: 0.0676 s/iter. ETA=0:00:20 +[04/09 21:56:25] d2.evaluation.evaluator INFO: Inference done 180/410. Dataloading: 0.0115 s/iter. Inference: 0.0585 s/iter. Eval: 0.0002 s/iter. Total: 0.0703 s/iter. ETA=0:00:16 +[04/09 21:56:30] d2.evaluation.evaluator INFO: Inference done 255/410. Dataloading: 0.0110 s/iter. Inference: 0.0580 s/iter. Eval: 0.0002 s/iter. Total: 0.0692 s/iter. ETA=0:00:10 +[04/09 21:56:35] d2.evaluation.evaluator INFO: Inference done 331/410. Dataloading: 0.0102 s/iter. Inference: 0.0581 s/iter. Eval: 0.0002 s/iter. Total: 0.0686 s/iter. ETA=0:00:05 +[04/09 21:56:40] d2.evaluation.evaluator INFO: Inference done 404/410. Dataloading: 0.0102 s/iter. Inference: 0.0582 s/iter. Eval: 0.0002 s/iter. Total: 0.0687 s/iter. ETA=0:00:00 +[04/09 21:56:40] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.849499 (0.068764 s / iter per device, on 1 devices) +[04/09 21:56:40] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.058118 s / iter per device, on 1 devices) +[04/09 21:56:41] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 21:56:41] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 21:56:41] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 21:56:41] d2.evaluation.testing INFO: copypaste: 0.4130,2.0903,0.0419 +[04/09 21:56:41] d2.utils.events INFO: eta: 9:39:46 iter: 6999 total_loss: 0.03215 loss_cls: 0.006171 loss_box_reg: 0.01943 loss_rpn_cls: 0.001419 loss_rpn_loc: 0.0009769 loss_D_img_s: 5.285e-06 time: 0.7896 last_time: 0.7887 data_time: 0.0271 last_data_time: 0.0280 lr: 0.02 max_mem: 10548M +[04/09 21:56:56] d2.utils.events INFO: eta: 9:39:52 iter: 7019 total_loss: 0.02926 loss_cls: 0.006753 loss_box_reg: 0.02025 loss_rpn_cls: 0.00189 loss_rpn_loc: 0.001016 loss_D_img_s: 5.377e-06 time: 0.7896 last_time: 0.8352 data_time: 0.0200 last_data_time: 0.0177 lr: 0.02 max_mem: 10548M +[04/09 21:57:12] d2.utils.events INFO: eta: 9:39:24 iter: 7039 total_loss: 0.03032 loss_cls: 0.00846 loss_box_reg: 0.01991 loss_rpn_cls: 0.001308 loss_rpn_loc: 0.001044 loss_D_img_s: 5.069e-06 time: 0.7896 last_time: 0.7653 data_time: 0.0423 last_data_time: 0.0154 lr: 0.02 max_mem: 10548M +[04/09 21:57:29] d2.utils.events INFO: eta: 9:39:43 iter: 7059 total_loss: 0.03655 loss_cls: 0.009841 loss_box_reg: 0.02135 loss_rpn_cls: 0.001693 loss_rpn_loc: 0.0007222 loss_D_img_s: 5.119e-06 time: 0.7897 last_time: 0.7850 data_time: 0.0303 last_data_time: 0.0275 lr: 0.02 max_mem: 10548M +[04/09 21:57:45] d2.utils.events INFO: eta: 9:39:33 iter: 7079 total_loss: 0.03789 loss_cls: 0.01009 loss_box_reg: 0.02529 loss_rpn_cls: 0.001899 loss_rpn_loc: 0.0007772 loss_D_img_s: 5.014e-06 time: 0.7898 last_time: 0.8350 data_time: 0.0327 last_data_time: 0.0184 lr: 0.02 max_mem: 10548M +[04/09 21:58:02] d2.utils.events INFO: eta: 9:39:36 iter: 7099 total_loss: 0.03732 loss_cls: 0.009481 loss_box_reg: 0.02313 loss_rpn_cls: 0.001834 loss_rpn_loc: 0.001067 loss_D_img_s: 5.177e-06 time: 0.7899 last_time: 0.7989 data_time: 0.0237 last_data_time: 0.0153 lr: 0.02 max_mem: 10548M +[04/09 21:58:18] d2.utils.events INFO: eta: 9:39:30 iter: 7119 total_loss: 0.03502 loss_cls: 0.008521 loss_box_reg: 0.02163 loss_rpn_cls: 0.001951 loss_rpn_loc: 0.001166 loss_D_img_s: 5.344e-06 time: 0.7899 last_time: 0.7915 data_time: 0.0244 last_data_time: 0.0319 lr: 0.02 max_mem: 10548M +[04/09 21:58:35] d2.utils.events INFO: eta: 9:40:10 iter: 7139 total_loss: 0.02791 loss_cls: 0.006311 loss_box_reg: 0.01961 loss_rpn_cls: 0.0009878 loss_rpn_loc: 0.0009053 loss_D_img_s: 5.417e-06 time: 0.7901 last_time: 0.8323 data_time: 0.0288 last_data_time: 0.0160 lr: 0.02 max_mem: 10548M +[04/09 21:58:51] d2.utils.events INFO: eta: 9:40:25 iter: 7159 total_loss: 0.03355 loss_cls: 0.01002 loss_box_reg: 0.0203 loss_rpn_cls: 0.002249 loss_rpn_loc: 0.0009676 loss_D_img_s: 5.133e-06 time: 0.7902 last_time: 0.8613 data_time: 0.0239 last_data_time: 0.0166 lr: 0.02 max_mem: 10548M +[04/09 21:59:08] d2.utils.events INFO: eta: 9:40:38 iter: 7179 total_loss: 0.03802 loss_cls: 0.00973 loss_box_reg: 0.02464 loss_rpn_cls: 0.002101 loss_rpn_loc: 0.00104 loss_D_img_s: 5.323e-06 time: 0.7903 last_time: 0.7823 data_time: 0.0276 last_data_time: 0.0146 lr: 0.02 max_mem: 10548M +[04/09 21:59:24] d2.utils.events INFO: eta: 9:40:26 iter: 7199 total_loss: 0.02987 loss_cls: 0.008656 loss_box_reg: 0.0205 loss_rpn_cls: 0.001452 loss_rpn_loc: 0.001405 loss_D_img_s: 5.23e-06 time: 0.7904 last_time: 0.8517 data_time: 0.0255 last_data_time: 0.0315 lr: 0.02 max_mem: 10548M +[04/09 21:59:40] d2.utils.events INFO: eta: 9:40:19 iter: 7219 total_loss: 0.03484 loss_cls: 0.009146 loss_box_reg: 0.02129 loss_rpn_cls: 0.002012 loss_rpn_loc: 0.001053 loss_D_img_s: 4.906e-06 time: 0.7905 last_time: 0.7140 data_time: 0.0228 last_data_time: 0.0227 lr: 0.02 max_mem: 10548M +[04/09 21:59:57] d2.utils.events INFO: eta: 9:40:26 iter: 7239 total_loss: 0.03703 loss_cls: 0.01051 loss_box_reg: 0.02407 loss_rpn_cls: 0.002195 loss_rpn_loc: 0.0009742 loss_D_img_s: 5.143e-06 time: 0.7906 last_time: 0.8599 data_time: 0.0225 last_data_time: 0.0390 lr: 0.02 max_mem: 10548M +[04/09 22:00:14] d2.utils.events INFO: eta: 9:40:39 iter: 7259 total_loss: 0.02799 loss_cls: 0.007304 loss_box_reg: 0.01762 loss_rpn_cls: 0.001751 loss_rpn_loc: 0.0009876 loss_D_img_s: 5.34e-06 time: 0.7908 last_time: 0.8217 data_time: 0.0263 last_data_time: 0.0410 lr: 0.02 max_mem: 10548M +[04/09 22:00:30] d2.utils.events INFO: eta: 9:40:20 iter: 7279 total_loss: 0.02981 loss_cls: 0.006909 loss_box_reg: 0.01867 loss_rpn_cls: 0.001108 loss_rpn_loc: 0.0008415 loss_D_img_s: 4.997e-06 time: 0.7908 last_time: 0.6968 data_time: 0.0307 last_data_time: 0.0122 lr: 0.02 max_mem: 10548M +[04/09 22:00:47] d2.utils.events INFO: eta: 9:40:46 iter: 7299 total_loss: 0.03041 loss_cls: 0.00676 loss_box_reg: 0.01937 loss_rpn_cls: 0.00159 loss_rpn_loc: 0.0009044 loss_D_img_s: 5.092e-06 time: 0.7909 last_time: 0.8410 data_time: 0.0272 last_data_time: 0.0197 lr: 0.02 max_mem: 10548M +[04/09 22:01:04] d2.utils.events INFO: eta: 9:40:41 iter: 7319 total_loss: 0.0291 loss_cls: 0.006703 loss_box_reg: 0.02071 loss_rpn_cls: 0.001159 loss_rpn_loc: 0.00087 loss_D_img_s: 5.388e-06 time: 0.7911 last_time: 0.7873 data_time: 0.0240 last_data_time: 0.0563 lr: 0.02 max_mem: 10548M +[04/09 22:01:21] d2.utils.events INFO: eta: 9:40:24 iter: 7339 total_loss: 0.02708 loss_cls: 0.006072 loss_box_reg: 0.01932 loss_rpn_cls: 0.0008659 loss_rpn_loc: 0.0007564 loss_D_img_s: 5.28e-06 time: 0.7912 last_time: 0.7782 data_time: 0.0207 last_data_time: 0.0354 lr: 0.02 max_mem: 10548M +[04/09 22:01:37] d2.utils.events INFO: eta: 9:40:09 iter: 7359 total_loss: 0.03305 loss_cls: 0.009564 loss_box_reg: 0.02096 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last_data_time: 0.0227 lr: 0.02 max_mem: 10548M +[04/09 22:02:44] d2.utils.events INFO: eta: 9:38:32 iter: 7439 total_loss: 0.03184 loss_cls: 0.007337 loss_box_reg: 0.02163 loss_rpn_cls: 0.001473 loss_rpn_loc: 0.001059 loss_D_img_s: 4.817e-06 time: 0.7917 last_time: 0.8113 data_time: 0.0229 last_data_time: 0.0149 lr: 0.02 max_mem: 10548M +[04/09 22:03:00] d2.utils.events INFO: eta: 9:38:16 iter: 7459 total_loss: 0.03092 loss_cls: 0.007312 loss_box_reg: 0.02074 loss_rpn_cls: 0.001557 loss_rpn_loc: 0.0008973 loss_D_img_s: 4.967e-06 time: 0.7918 last_time: 0.6897 data_time: 0.0249 last_data_time: 0.0153 lr: 0.02 max_mem: 10548M +[04/09 22:03:18] d2.utils.events INFO: eta: 9:38:17 iter: 7479 total_loss: 0.03046 loss_cls: 0.008294 loss_box_reg: 0.01944 loss_rpn_cls: 0.001625 loss_rpn_loc: 0.0009761 loss_D_img_s: 5.02e-06 time: 0.7920 last_time: 0.7734 data_time: 0.0231 last_data_time: 0.0218 lr: 0.02 max_mem: 10548M +[04/09 22:03:34] d2.utils.events INFO: eta: 9:37:44 iter: 7499 total_loss: 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d2.utils.events INFO: eta: 9:34:56 iter: 7639 total_loss: 0.03726 loss_cls: 0.009271 loss_box_reg: 0.02124 loss_rpn_cls: 0.002177 loss_rpn_loc: 0.001309 loss_D_img_s: 5.107e-06 time: 0.7927 last_time: 0.8206 data_time: 0.0276 last_data_time: 0.0190 lr: 0.02 max_mem: 10548M +[04/09 22:05:46] d2.utils.events INFO: eta: 9:34:38 iter: 7659 total_loss: 0.0327 loss_cls: 0.007995 loss_box_reg: 0.0208 loss_rpn_cls: 0.001556 loss_rpn_loc: 0.001103 loss_D_img_s: 4.921e-06 time: 0.7928 last_time: 0.8627 data_time: 0.0240 last_data_time: 0.0187 lr: 0.02 max_mem: 10548M +[04/09 22:06:03] d2.utils.events INFO: eta: 9:33:59 iter: 7679 total_loss: 0.03505 loss_cls: 0.0091 loss_box_reg: 0.02158 loss_rpn_cls: 0.001414 loss_rpn_loc: 0.0008761 loss_D_img_s: 4.835e-06 time: 0.7929 last_time: 0.7343 data_time: 0.0278 last_data_time: 0.0327 lr: 0.02 max_mem: 10548M +[04/09 22:06:20] d2.utils.events INFO: eta: 9:33:47 iter: 7699 total_loss: 0.03036 loss_cls: 0.007167 loss_box_reg: 0.02037 loss_rpn_cls: 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eta: 9:28:45 iter: 7979 total_loss: 0.03264 loss_cls: 0.008024 loss_box_reg: 0.02325 loss_rpn_cls: 0.001507 loss_rpn_loc: 0.001203 loss_D_img_s: 4.597e-06 time: 0.7942 last_time: 0.7320 data_time: 0.0233 last_data_time: 0.0224 lr: 0.02 max_mem: 10548M +[04/09 22:10:27] d2.data.common INFO: Serializing the dataset using: +[04/09 22:10:27] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 22:10:27] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 22:10:27] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 22:10:27] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 22:10:28] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0084 s/iter. Inference: 0.0633 s/iter. Eval: 0.0001 s/iter. Total: 0.0719 s/iter. ETA=0:00:28 +[04/09 22:10:33] d2.evaluation.evaluator INFO: Inference done 83/410. Dataloading: 0.0075 s/iter. Inference: 0.0625 s/iter. Eval: 0.0002 s/iter. Total: 0.0703 s/iter. ETA=0:00:22 +[04/09 22:10:38] d2.evaluation.evaluator INFO: Inference done 159/410. Dataloading: 0.0102 s/iter. Inference: 0.0576 s/iter. Eval: 0.0002 s/iter. Total: 0.0681 s/iter. ETA=0:00:17 +[04/09 22:10:43] d2.evaluation.evaluator INFO: Inference done 236/410. Dataloading: 0.0099 s/iter. Inference: 0.0571 s/iter. Eval: 0.0002 s/iter. Total: 0.0672 s/iter. ETA=0:00:11 +[04/09 22:10:48] d2.evaluation.evaluator INFO: Inference done 321/410. Dataloading: 0.0094 s/iter. Inference: 0.0555 s/iter. Eval: 0.0002 s/iter. Total: 0.0651 s/iter. ETA=0:00:05 +[04/09 22:10:53] d2.evaluation.evaluator INFO: Inference done 408/410. Dataloading: 0.0085 s/iter. Inference: 0.0548 s/iter. Eval: 0.0002 s/iter. Total: 0.0636 s/iter. ETA=0:00:00 +[04/09 22:10:53] d2.evaluation.evaluator INFO: Total inference time: 0:00:25.835401 (0.063791 s / iter per device, on 1 devices) +[04/09 22:10:53] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.054781 s / iter per device, on 1 devices) +[04/09 22:10:54] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 22:10:54] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 22:10:54] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 22:10:54] d2.evaluation.testing INFO: copypaste: 0.5201,2.4575,0.0000 +[04/09 22:10:54] d2.data.common INFO: Serializing the dataset using: +[04/09 22:10:54] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 22:10:54] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 22:10:54] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 22:10:54] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 22:10:58] d2.evaluation.evaluator INFO: Inference done 58/410. 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ETA=0:00:02 +[04/09 22:11:21] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.674247 (0.065862 s / iter per device, on 1 devices) +[04/09 22:11:21] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.055428 s / iter per device, on 1 devices) +[04/09 22:11:21] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 22:11:21] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 22:11:21] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 22:11:21] d2.evaluation.testing INFO: copypaste: 0.3807,1.7952,0.0333 +[04/09 22:11:21] d2.utils.events INFO: eta: 9:28:21 iter: 7999 total_loss: 0.03276 loss_cls: 0.00812 loss_box_reg: 0.02287 loss_rpn_cls: 0.001477 loss_rpn_loc: 0.001046 loss_D_img_s: 4.58e-06 time: 0.7941 last_time: 0.7895 data_time: 0.0185 last_data_time: 0.0157 lr: 0.02 max_mem: 10548M +[04/09 22:11:37] d2.utils.events INFO: eta: 9:27:58 iter: 8019 total_loss: 0.02706 loss_cls: 0.00524 loss_box_reg: 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last_data_time: 0.0188 lr: 0.02 max_mem: 10548M +[04/09 22:12:43] d2.utils.events INFO: eta: 9:27:05 iter: 8099 total_loss: 0.03107 loss_cls: 0.007208 loss_box_reg: 0.01988 loss_rpn_cls: 0.001598 loss_rpn_loc: 0.0008383 loss_D_img_s: 4.763e-06 time: 0.7944 last_time: 0.8036 data_time: 0.0230 last_data_time: 0.0158 lr: 0.02 max_mem: 10548M +[04/09 22:13:00] d2.utils.events INFO: eta: 9:26:45 iter: 8119 total_loss: 0.02909 loss_cls: 0.006605 loss_box_reg: 0.01809 loss_rpn_cls: 0.001469 loss_rpn_loc: 0.0009445 loss_D_img_s: 5.003e-06 time: 0.7945 last_time: 1.1535 data_time: 0.0266 last_data_time: 0.0213 lr: 0.02 max_mem: 10548M +[04/09 22:13:16] d2.utils.events INFO: eta: 9:26:08 iter: 8139 total_loss: 0.02869 loss_cls: 0.006133 loss_box_reg: 0.02092 loss_rpn_cls: 0.001226 loss_rpn_loc: 0.0009334 loss_D_img_s: 4.7e-06 time: 0.7946 last_time: 0.7619 data_time: 0.0318 last_data_time: 0.0477 lr: 0.02 max_mem: 10548M +[04/09 22:13:32] d2.utils.events INFO: eta: 9:25:45 iter: 8159 total_loss: 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d2.utils.events INFO: eta: 9:22:45 iter: 8299 total_loss: 0.03354 loss_cls: 0.008615 loss_box_reg: 0.02173 loss_rpn_cls: 0.0015 loss_rpn_loc: 0.001016 loss_D_img_s: 4.597e-06 time: 0.7951 last_time: 0.8551 data_time: 0.0216 last_data_time: 0.0163 lr: 0.02 max_mem: 10548M +[04/09 22:15:45] d2.utils.events INFO: eta: 9:21:50 iter: 8319 total_loss: 0.02679 loss_cls: 0.007065 loss_box_reg: 0.01972 loss_rpn_cls: 0.001079 loss_rpn_loc: 0.0008852 loss_D_img_s: 4.726e-06 time: 0.7952 last_time: 0.7748 data_time: 0.0267 last_data_time: 0.0146 lr: 0.02 max_mem: 10548M +[04/09 22:16:00] d2.utils.events INFO: eta: 9:21:16 iter: 8339 total_loss: 0.03554 loss_cls: 0.008564 loss_box_reg: 0.02214 loss_rpn_cls: 0.001433 loss_rpn_loc: 0.0008988 loss_D_img_s: 4.816e-06 time: 0.7952 last_time: 0.7743 data_time: 0.0215 last_data_time: 0.0359 lr: 0.02 max_mem: 10548M +[04/09 22:16:17] d2.utils.events INFO: eta: 9:21:06 iter: 8359 total_loss: 0.03296 loss_cls: 0.007894 loss_box_reg: 0.01861 loss_rpn_cls: 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iter: 8979 total_loss: 0.02937 loss_cls: 0.006371 loss_box_reg: 0.01957 loss_rpn_cls: 0.001503 loss_rpn_loc: 0.0008033 loss_D_img_s: 4.614e-06 time: 0.7966 last_time: 0.7267 data_time: 0.0254 last_data_time: 0.0168 lr: 0.02 max_mem: 10548M +[04/09 22:24:59] d2.data.common INFO: Serializing the dataset using: +[04/09 22:24:59] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 22:24:59] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 22:24:59] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 22:24:59] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 22:25:01] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0018 s/iter. Inference: 0.0582 s/iter. Eval: 0.0001 s/iter. Total: 0.0601 s/iter. ETA=0:00:23 +[04/09 22:25:06] d2.evaluation.evaluator INFO: Inference done 94/410. Dataloading: 0.0079 s/iter. Inference: 0.0527 s/iter. Eval: 0.0002 s/iter. Total: 0.0608 s/iter. ETA=0:00:19 +[04/09 22:25:11] d2.evaluation.evaluator INFO: Inference done 177/410. Dataloading: 0.0069 s/iter. Inference: 0.0535 s/iter. Eval: 0.0002 s/iter. Total: 0.0606 s/iter. ETA=0:00:14 +[04/09 22:25:16] d2.evaluation.evaluator INFO: Inference done 264/410. Dataloading: 0.0061 s/iter. Inference: 0.0533 s/iter. Eval: 0.0002 s/iter. Total: 0.0596 s/iter. ETA=0:00:08 +[04/09 22:25:21] d2.evaluation.evaluator INFO: Inference done 352/410. Dataloading: 0.0059 s/iter. Inference: 0.0529 s/iter. Eval: 0.0002 s/iter. Total: 0.0590 s/iter. ETA=0:00:03 +[04/09 22:25:24] d2.evaluation.evaluator INFO: Total inference time: 0:00:24.312321 (0.060030 s / iter per device, on 1 devices) +[04/09 22:25:24] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:21 (0.054067 s / iter per device, on 1 devices) +[04/09 22:25:25] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 22:25:25] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 22:25:25] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 22:25:25] d2.evaluation.testing INFO: copypaste: 0.5124,2.4704,0.0000 +[04/09 22:25:25] d2.data.common INFO: Serializing the dataset using: +[04/09 22:25:25] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 22:25:25] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 22:25:25] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 22:25:25] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 22:25:26] d2.evaluation.evaluator INFO: Inference done 11/410. 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ETA=0:00:03 +[04/09 22:25:50] d2.evaluation.evaluator INFO: Total inference time: 0:00:24.268838 (0.059923 s / iter per device, on 1 devices) +[04/09 22:25:50] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:21 (0.054271 s / iter per device, on 1 devices) +[04/09 22:25:50] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 22:25:50] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 22:25:50] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 22:25:50] d2.evaluation.testing INFO: copypaste: 0.3602,1.8145,0.0000 +[04/09 22:25:50] d2.utils.events INFO: eta: 9:09:56 iter: 8999 total_loss: 0.03031 loss_cls: 0.00812 loss_box_reg: 0.01827 loss_rpn_cls: 0.001664 loss_rpn_loc: 0.0009305 loss_D_img_s: 4.57e-06 time: 0.7967 last_time: 0.7967 data_time: 0.0272 last_data_time: 0.0158 lr: 0.02 max_mem: 10548M +[04/09 22:26:06] d2.utils.events INFO: eta: 9:09:51 iter: 9019 total_loss: 0.02919 loss_cls: 0.007109 loss_box_reg: 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22:29:58] d2.utils.events INFO: eta: 9:05:59 iter: 9299 total_loss: 0.0315 loss_cls: 0.008858 loss_box_reg: 0.01952 loss_rpn_cls: 0.001256 loss_rpn_loc: 0.0009481 loss_D_img_s: 4.411e-06 time: 0.7977 last_time: 0.7749 data_time: 0.0216 last_data_time: 0.0157 lr: 0.02 max_mem: 10548M +[04/09 22:30:14] d2.utils.events INFO: eta: 9:05:43 iter: 9319 total_loss: 0.03325 loss_cls: 0.00771 loss_box_reg: 0.02276 loss_rpn_cls: 0.002064 loss_rpn_loc: 0.0009039 loss_D_img_s: 4.307e-06 time: 0.7977 last_time: 0.8736 data_time: 0.0217 last_data_time: 0.0226 lr: 0.02 max_mem: 10548M +[04/09 22:30:31] d2.utils.events INFO: eta: 9:05:51 iter: 9339 total_loss: 0.035 loss_cls: 0.008955 loss_box_reg: 0.02232 loss_rpn_cls: 0.00174 loss_rpn_loc: 0.0009655 loss_D_img_s: 4.387e-06 time: 0.7978 last_time: 0.7825 data_time: 0.0242 last_data_time: 0.0196 lr: 0.02 max_mem: 10548M +[04/09 22:30:47] d2.utils.events INFO: eta: 9:05:49 iter: 9359 total_loss: 0.03116 loss_cls: 0.007602 loss_box_reg: 0.02224 loss_rpn_cls: 0.001156 loss_rpn_loc: 0.0008123 loss_D_img_s: 4.188e-06 time: 0.7979 last_time: 0.8524 data_time: 0.0274 last_data_time: 0.0151 lr: 0.02 max_mem: 10548M +[04/09 22:31:04] d2.utils.events INFO: eta: 9:06:06 iter: 9379 total_loss: 0.02536 loss_cls: 0.00522 loss_box_reg: 0.0171 loss_rpn_cls: 0.001299 loss_rpn_loc: 0.0007719 loss_D_img_s: 4.249e-06 time: 0.7979 last_time: 1.1861 data_time: 0.0259 last_data_time: 0.0328 lr: 0.02 max_mem: 10548M +[04/09 22:31:21] d2.utils.events INFO: eta: 9:05:59 iter: 9399 total_loss: 0.03204 loss_cls: 0.007743 loss_box_reg: 0.02042 loss_rpn_cls: 0.001305 loss_rpn_loc: 0.0008725 loss_D_img_s: 4.02e-06 time: 0.7980 last_time: 0.7932 data_time: 0.0258 last_data_time: 0.0137 lr: 0.02 max_mem: 10548M +[04/09 22:31:38] d2.utils.events INFO: eta: 9:06:10 iter: 9419 total_loss: 0.02796 loss_cls: 0.007141 loss_box_reg: 0.01919 loss_rpn_cls: 0.001188 loss_rpn_loc: 0.0007865 loss_D_img_s: 4.348e-06 time: 0.7981 last_time: 0.7960 data_time: 0.0289 last_data_time: 0.0395 lr: 0.02 max_mem: 10548M +[04/09 22:31:54] d2.utils.events INFO: eta: 9:06:02 iter: 9439 total_loss: 0.02595 loss_cls: 0.005201 loss_box_reg: 0.01761 loss_rpn_cls: 0.0009269 loss_rpn_loc: 0.0007437 loss_D_img_s: 4.413e-06 time: 0.7981 last_time: 0.6572 data_time: 0.0248 last_data_time: 0.0492 lr: 0.02 max_mem: 10548M +[04/09 22:32:11] d2.utils.events INFO: eta: 9:06:40 iter: 9459 total_loss: 0.03047 loss_cls: 0.007299 loss_box_reg: 0.0204 loss_rpn_cls: 0.001359 loss_rpn_loc: 0.0009456 loss_D_img_s: 4.485e-06 time: 0.7982 last_time: 0.7962 data_time: 0.0207 last_data_time: 0.0187 lr: 0.02 max_mem: 10548M +[04/09 22:32:27] d2.utils.events INFO: eta: 9:07:10 iter: 9479 total_loss: 0.02759 loss_cls: 0.006527 loss_box_reg: 0.01962 loss_rpn_cls: 0.00129 loss_rpn_loc: 0.0006783 loss_D_img_s: 4.432e-06 time: 0.7983 last_time: 0.7099 data_time: 0.0273 last_data_time: 0.0153 lr: 0.02 max_mem: 10548M +[04/09 22:32:46] d2.utils.events INFO: eta: 9:07:33 iter: 9499 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22:34:54] d2.utils.events INFO: eta: 9:13:10 iter: 9639 total_loss: 0.03198 loss_cls: 0.007683 loss_box_reg: 0.02201 loss_rpn_cls: 0.001442 loss_rpn_loc: 0.001002 loss_D_img_s: 4.631e-06 time: 0.8003 last_time: 0.9251 data_time: 0.0387 last_data_time: 0.0765 lr: 0.02 max_mem: 10548M +[04/09 22:35:13] d2.utils.events INFO: eta: 9:14:12 iter: 9659 total_loss: 0.02633 loss_cls: 0.007346 loss_box_reg: 0.01743 loss_rpn_cls: 0.001476 loss_rpn_loc: 0.000987 loss_D_img_s: 4.621e-06 time: 0.8006 last_time: 1.0364 data_time: 0.0349 last_data_time: 0.0501 lr: 0.02 max_mem: 10548M +[04/09 22:35:31] d2.utils.events INFO: eta: 9:15:01 iter: 9679 total_loss: 0.02762 loss_cls: 0.00668 loss_box_reg: 0.01896 loss_rpn_cls: 0.001679 loss_rpn_loc: 0.0009301 loss_D_img_s: 4.372e-06 time: 0.8008 last_time: 0.9380 data_time: 0.0359 last_data_time: 0.0195 lr: 0.02 max_mem: 10548M +[04/09 22:35:49] d2.utils.events INFO: eta: 9:16:11 iter: 9699 total_loss: 0.02652 loss_cls: 0.00677 loss_box_reg: 0.01773 loss_rpn_cls: 0.001323 loss_rpn_loc: 0.0009133 loss_D_img_s: 4.319e-06 time: 0.8010 last_time: 0.9366 data_time: 0.0293 last_data_time: 0.0294 lr: 0.02 max_mem: 10548M +[04/09 22:36:08] d2.utils.events INFO: eta: 9:17:55 iter: 9719 total_loss: 0.03009 loss_cls: 0.007354 loss_box_reg: 0.02067 loss_rpn_cls: 0.001296 loss_rpn_loc: 0.0008334 loss_D_img_s: 4.313e-06 time: 0.8013 last_time: 0.9414 data_time: 0.0314 last_data_time: 0.0287 lr: 0.02 max_mem: 10548M +[04/09 22:36:26] d2.utils.events INFO: eta: 9:19:37 iter: 9739 total_loss: 0.02657 loss_cls: 0.007113 loss_box_reg: 0.01806 loss_rpn_cls: 0.001302 loss_rpn_loc: 0.0009262 loss_D_img_s: 4.402e-06 time: 0.8015 last_time: 0.9306 data_time: 0.0303 last_data_time: 0.0261 lr: 0.02 max_mem: 10548M +[04/09 22:36:45] d2.utils.events INFO: eta: 9:21:39 iter: 9759 total_loss: 0.03015 loss_cls: 0.007225 loss_box_reg: 0.0205 loss_rpn_cls: 0.001556 loss_rpn_loc: 0.0008194 loss_D_img_s: 4.74e-06 time: 0.8018 last_time: 0.8690 data_time: 0.0393 last_data_time: 0.0636 lr: 0.02 max_mem: 10548M +[04/09 22:37:03] d2.utils.events INFO: eta: 9:23:07 iter: 9779 total_loss: 0.02671 loss_cls: 0.006379 loss_box_reg: 0.01726 loss_rpn_cls: 0.001592 loss_rpn_loc: 0.0009159 loss_D_img_s: 4.438e-06 time: 0.8020 last_time: 0.8466 data_time: 0.0343 last_data_time: 0.0224 lr: 0.02 max_mem: 10548M +[04/09 22:37:21] d2.utils.events INFO: eta: 9:24:13 iter: 9799 total_loss: 0.02887 loss_cls: 0.007397 loss_box_reg: 0.01946 loss_rpn_cls: 0.001678 loss_rpn_loc: 0.0007927 loss_D_img_s: 4.527e-06 time: 0.8022 last_time: 0.9436 data_time: 0.0300 last_data_time: 0.0187 lr: 0.02 max_mem: 10548M +[04/09 22:37:38] d2.utils.events INFO: eta: 9:24:11 iter: 9819 total_loss: 0.02938 loss_cls: 0.005819 loss_box_reg: 0.02011 loss_rpn_cls: 0.001276 loss_rpn_loc: 0.0009429 loss_D_img_s: 4.677e-06 time: 0.8023 last_time: 0.8341 data_time: 0.0337 last_data_time: 0.0160 lr: 0.02 max_mem: 10548M +[04/09 22:37:55] d2.utils.events INFO: eta: 9:25:36 iter: 9839 total_loss: 0.02475 loss_cls: 0.004872 loss_box_reg: 0.01626 loss_rpn_cls: 0.00107 loss_rpn_loc: 0.0007937 loss_D_img_s: 4.484e-06 time: 0.8024 last_time: 0.8479 data_time: 0.0357 last_data_time: 0.0264 lr: 0.02 max_mem: 10548M +[04/09 22:38:13] d2.utils.events INFO: eta: 9:25:57 iter: 9859 total_loss: 0.02749 loss_cls: 0.006266 loss_box_reg: 0.01857 loss_rpn_cls: 0.001222 loss_rpn_loc: 0.0009076 loss_D_img_s: 4.491e-06 time: 0.8026 last_time: 0.8475 data_time: 0.0304 last_data_time: 0.0196 lr: 0.02 max_mem: 10548M +[04/09 22:38:31] d2.utils.events INFO: eta: 9:27:02 iter: 9879 total_loss: 0.02472 loss_cls: 0.005483 loss_box_reg: 0.01676 loss_rpn_cls: 0.001684 loss_rpn_loc: 0.0008257 loss_D_img_s: 4.45e-06 time: 0.8028 last_time: 0.9964 data_time: 0.0319 last_data_time: 0.0258 lr: 0.02 max_mem: 10548M +[04/09 22:38:49] d2.utils.events INFO: eta: 9:28:54 iter: 9899 total_loss: 0.02577 loss_cls: 0.005333 loss_box_reg: 0.0168 loss_rpn_cls: 0.001059 loss_rpn_loc: 0.0008 loss_D_img_s: 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22:40:01] d2.utils.events INFO: eta: 9:34:54 iter: 9979 total_loss: 0.02956 loss_cls: 0.007897 loss_box_reg: 0.01751 loss_rpn_cls: 0.001151 loss_rpn_loc: 0.0009229 loss_D_img_s: 4.409e-06 time: 0.8037 last_time: 0.7992 data_time: 0.0277 last_data_time: 0.0151 lr: 0.02 max_mem: 10548M +[04/09 22:40:17] fvcore.common.checkpoint INFO: Saving checkpoint to /DATA/Rajes/Research/output_cat/bmp_rti/model_0009999.pth +[04/09 22:40:18] d2.data.common INFO: Serializing the dataset using: +[04/09 22:40:18] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 22:40:18] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 22:40:18] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 22:40:18] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 22:40:19] d2.evaluation.evaluator INFO: Inference done 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Dataloading: 0.0022 s/iter. Inference: 0.0620 s/iter. Eval: 0.0001 s/iter. Total: 0.0643 s/iter. ETA=0:00:25 +[04/09 22:40:25] d2.evaluation.evaluator INFO: Inference done 89/410. Dataloading: 0.0121 s/iter. Inference: 0.0525 s/iter. Eval: 0.0002 s/iter. Total: 0.0648 s/iter. ETA=0:00:20 +[04/09 22:40:30] d2.evaluation.evaluator INFO: Inference done 169/410. Dataloading: 0.0088 s/iter. Inference: 0.0548 s/iter. Eval: 0.0002 s/iter. Total: 0.0638 s/iter. ETA=0:00:15 +[04/09 22:40:35] d2.evaluation.evaluator INFO: Inference done 243/410. Dataloading: 0.0109 s/iter. Inference: 0.0540 s/iter. Eval: 0.0002 s/iter. Total: 0.0651 s/iter. ETA=0:00:10 +[04/09 22:40:40] d2.evaluation.evaluator INFO: Inference done 323/410. Dataloading: 0.0105 s/iter. Inference: 0.0539 s/iter. Eval: 0.0002 s/iter. Total: 0.0647 s/iter. ETA=0:00:05 +[04/09 22:40:45] d2.evaluation.evaluator INFO: Inference done 400/410. Dataloading: 0.0097 s/iter. Inference: 0.0548 s/iter. Eval: 0.0002 s/iter. Total: 0.0648 s/iter. ETA=0:00:00 +[04/09 22:40:45] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.220296 (0.064741 s / iter per device, on 1 devices) +[04/09 22:40:45] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.054689 s / iter per device, on 1 devices) +[04/09 22:40:45] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 22:40:45] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 22:40:45] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 22:40:45] d2.evaluation.testing INFO: copypaste: 0.6971,3.0508,0.0239 +[04/09 22:40:46] d2.data.common INFO: Serializing the dataset using: +[04/09 22:40:46] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 22:40:46] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 22:40:46] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 22:40:46] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 22:40:50] d2.evaluation.evaluator INFO: Inference done 57/410. 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ETA=0:00:01 +[04/09 22:41:12] d2.evaluation.evaluator INFO: Total inference time: 0:00:25.122563 (0.062031 s / iter per device, on 1 devices) +[04/09 22:41:12] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:21 (0.052449 s / iter per device, on 1 devices) +[04/09 22:41:12] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 22:41:12] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 22:41:12] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 22:41:12] d2.evaluation.testing INFO: copypaste: 0.3679,1.9621,0.0000 +[04/09 22:41:12] d2.utils.events INFO: eta: 9:33:10 iter: 9999 total_loss: 0.02872 loss_cls: 0.006376 loss_box_reg: 0.01994 loss_rpn_cls: 0.001051 loss_rpn_loc: 0.00101 loss_D_img_s: 4.331e-06 time: 0.8037 last_time: 0.8264 data_time: 0.0180 last_data_time: 0.0164 lr: 0.02 max_mem: 10548M +[04/09 22:41:27] d2.utils.events INFO: eta: 9:32:26 iter: 10019 total_loss: 0.03115 loss_cls: 0.008039 loss_box_reg: 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iter: 10159 total_loss: 0.02775 loss_cls: 0.007096 loss_box_reg: 0.01912 loss_rpn_cls: 0.001386 loss_rpn_loc: 0.0008405 loss_D_img_s: 4.067e-06 time: 0.8040 last_time: 0.8820 data_time: 0.0253 last_data_time: 0.0216 lr: 0.02 max_mem: 10548M +[04/09 22:43:42] d2.utils.events INFO: eta: 9:31:04 iter: 10179 total_loss: 0.02415 loss_cls: 0.005132 loss_box_reg: 0.01774 loss_rpn_cls: 0.0007506 loss_rpn_loc: 0.0009883 loss_D_img_s: 4.281e-06 time: 0.8042 last_time: 0.9137 data_time: 0.0299 last_data_time: 0.0159 lr: 0.02 max_mem: 10548M +[04/09 22:44:00] d2.utils.events INFO: eta: 9:32:25 iter: 10199 total_loss: 0.02507 loss_cls: 0.006777 loss_box_reg: 0.01707 loss_rpn_cls: 0.000961 loss_rpn_loc: 0.001089 loss_D_img_s: 4.222e-06 time: 0.8044 last_time: 0.8969 data_time: 0.0300 last_data_time: 0.0203 lr: 0.02 max_mem: 10548M +[04/09 22:44:18] d2.utils.events INFO: eta: 9:33:31 iter: 10219 total_loss: 0.03396 loss_cls: 0.00851 loss_box_reg: 0.02186 loss_rpn_cls: 0.001615 loss_rpn_loc: 0.001093 loss_D_img_s: 4.352e-06 time: 0.8046 last_time: 0.8485 data_time: 0.0282 last_data_time: 0.0172 lr: 0.02 max_mem: 10548M +[04/09 22:44:36] d2.utils.events INFO: eta: 9:35:23 iter: 10239 total_loss: 0.03132 loss_cls: 0.006371 loss_box_reg: 0.01905 loss_rpn_cls: 0.001369 loss_rpn_loc: 0.001202 loss_D_img_s: 4.449e-06 time: 0.8048 last_time: 0.8688 data_time: 0.0338 last_data_time: 0.0360 lr: 0.02 max_mem: 10548M +[04/09 22:44:54] d2.utils.events INFO: eta: 9:35:50 iter: 10259 total_loss: 0.02649 loss_cls: 0.006155 loss_box_reg: 0.01838 loss_rpn_cls: 0.001103 loss_rpn_loc: 0.000746 loss_D_img_s: 4.542e-06 time: 0.8051 last_time: 0.8247 data_time: 0.0274 last_data_time: 0.0409 lr: 0.02 max_mem: 10548M +[04/09 22:45:13] d2.utils.events INFO: eta: 9:37:39 iter: 10279 total_loss: 0.03158 loss_cls: 0.007188 loss_box_reg: 0.02129 loss_rpn_cls: 0.001554 loss_rpn_loc: 0.000893 loss_D_img_s: 4.308e-06 time: 0.8053 last_time: 0.8568 data_time: 0.0239 last_data_time: 0.0251 lr: 0.02 max_mem: 10548M +[04/09 22:45:31] d2.utils.events INFO: eta: 9:38:28 iter: 10299 total_loss: 0.03789 loss_cls: 0.009699 loss_box_reg: 0.02285 loss_rpn_cls: 0.002044 loss_rpn_loc: 0.001265 loss_D_img_s: 4.328e-06 time: 0.8055 last_time: 0.8740 data_time: 0.0323 last_data_time: 0.0368 lr: 0.02 max_mem: 10548M +[04/09 22:45:49] d2.utils.events INFO: eta: 9:39:18 iter: 10319 total_loss: 0.02311 loss_cls: 0.006314 loss_box_reg: 0.01553 loss_rpn_cls: 0.001059 loss_rpn_loc: 0.0008702 loss_D_img_s: 4.724e-06 time: 0.8057 last_time: 0.8733 data_time: 0.0284 last_data_time: 0.0187 lr: 0.02 max_mem: 10548M +[04/09 22:46:07] d2.utils.events INFO: eta: 9:40:29 iter: 10339 total_loss: 0.02285 loss_cls: 0.005356 loss_box_reg: 0.01577 loss_rpn_cls: 0.0007281 loss_rpn_loc: 0.0006519 loss_D_img_s: 4.802e-06 time: 0.8058 last_time: 0.8232 data_time: 0.0348 last_data_time: 0.0232 lr: 0.02 max_mem: 10548M +[04/09 22:46:25] d2.utils.events INFO: eta: 9:40:36 iter: 10359 total_loss: 0.02909 loss_cls: 0.008314 loss_box_reg: 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loss_D_img_s: 4.264e-06 time: 0.8076 last_time: 0.8288 data_time: 0.0266 last_data_time: 0.0229 lr: 0.02 max_mem: 10548M +[04/09 22:49:39] d2.utils.events INFO: eta: 9:39:10 iter: 10579 total_loss: 0.02563 loss_cls: 0.005557 loss_box_reg: 0.01718 loss_rpn_cls: 0.001117 loss_rpn_loc: 0.0008339 loss_D_img_s: 4.395e-06 time: 0.8076 last_time: 0.8106 data_time: 0.0231 last_data_time: 0.0172 lr: 0.02 max_mem: 10548M +[04/09 22:49:56] d2.utils.events INFO: eta: 9:38:03 iter: 10599 total_loss: 0.02652 loss_cls: 0.005851 loss_box_reg: 0.01861 loss_rpn_cls: 0.001542 loss_rpn_loc: 0.0008175 loss_D_img_s: 4.362e-06 time: 0.8077 last_time: 0.8226 data_time: 0.0279 last_data_time: 0.0186 lr: 0.02 max_mem: 10548M +[04/09 22:50:13] d2.utils.events INFO: eta: 9:36:08 iter: 10619 total_loss: 0.03431 loss_cls: 0.007066 loss_box_reg: 0.02216 loss_rpn_cls: 0.001552 loss_rpn_loc: 0.0008616 loss_D_img_s: 4.578e-06 time: 0.8077 last_time: 0.7952 data_time: 0.0273 last_data_time: 0.0258 lr: 0.02 max_mem: 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max_mem: 10548M +[04/09 22:55:08] d2.utils.events INFO: eta: 9:04:56 iter: 10979 total_loss: 0.02337 loss_cls: 0.005041 loss_box_reg: 0.01739 loss_rpn_cls: 0.001239 loss_rpn_loc: 0.0008195 loss_D_img_s: 4.52e-06 time: 0.8081 last_time: 0.7903 data_time: 0.0225 last_data_time: 0.0354 lr: 0.02 max_mem: 10548M +[04/09 22:55:24] d2.data.common INFO: Serializing the dataset using: +[04/09 22:55:24] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 22:55:24] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 22:55:24] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 22:55:24] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 22:55:26] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0323 s/iter. Inference: 0.0546 s/iter. Eval: 0.0001 s/iter. Total: 0.0870 s/iter. ETA=0:00:34 +[04/09 22:55:31] d2.evaluation.evaluator INFO: Inference done 87/410. Dataloading: 0.0115 s/iter. Inference: 0.0557 s/iter. Eval: 0.0002 s/iter. Total: 0.0675 s/iter. ETA=0:00:21 +[04/09 22:55:36] d2.evaluation.evaluator INFO: Inference done 165/410. Dataloading: 0.0103 s/iter. Inference: 0.0559 s/iter. Eval: 0.0002 s/iter. Total: 0.0664 s/iter. ETA=0:00:16 +[04/09 22:55:41] d2.evaluation.evaluator INFO: Inference done 241/410. Dataloading: 0.0106 s/iter. Inference: 0.0554 s/iter. Eval: 0.0002 s/iter. Total: 0.0662 s/iter. ETA=0:00:11 +[04/09 22:55:46] d2.evaluation.evaluator INFO: Inference done 323/410. Dataloading: 0.0101 s/iter. Inference: 0.0545 s/iter. Eval: 0.0002 s/iter. Total: 0.0649 s/iter. ETA=0:00:05 +[04/09 22:55:51] d2.evaluation.evaluator INFO: Inference done 402/410. Dataloading: 0.0102 s/iter. Inference: 0.0542 s/iter. Eval: 0.0002 s/iter. Total: 0.0647 s/iter. ETA=0:00:00 +[04/09 22:55:51] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.225274 (0.064754 s / iter per device, on 1 devices) +[04/09 22:55:51] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:21 (0.054132 s / iter per device, on 1 devices) +[04/09 22:55:51] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 22:55:51] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 22:55:51] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 22:55:51] d2.evaluation.testing INFO: copypaste: 0.9891,3.9981,0.0000 +[04/09 22:55:51] d2.data.common INFO: Serializing the dataset using: +[04/09 22:55:51] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 22:55:51] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 22:55:51] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 22:55:51] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 22:55:56] d2.evaluation.evaluator INFO: Inference done 53/410. 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ETA=0:00:03 +[04/09 22:56:19] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.941636 (0.066523 s / iter per device, on 1 devices) +[04/09 22:56:19] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.054333 s / iter per device, on 1 devices) +[04/09 22:56:19] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 22:56:19] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 22:56:19] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 22:56:19] d2.evaluation.testing INFO: copypaste: 0.4225,2.2228,0.0000 +[04/09 22:56:19] d2.utils.events INFO: eta: 9:05:17 iter: 10999 total_loss: 0.02878 loss_cls: 0.007356 loss_box_reg: 0.01844 loss_rpn_cls: 0.001596 loss_rpn_loc: 0.0009852 loss_D_img_s: 4.46e-06 time: 0.8081 last_time: 0.8597 data_time: 0.0272 last_data_time: 0.0344 lr: 0.02 max_mem: 10548M +[04/09 22:56:35] d2.utils.events INFO: eta: 9:04:44 iter: 11019 total_loss: 0.03192 loss_cls: 0.007544 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max_mem: 10548M +[04/09 23:00:25] d2.utils.events INFO: eta: 8:48:56 iter: 11299 total_loss: 0.02708 loss_cls: 0.006514 loss_box_reg: 0.01741 loss_rpn_cls: 0.001317 loss_rpn_loc: 0.0008618 loss_D_img_s: 4.166e-06 time: 0.8084 last_time: 0.8110 data_time: 0.0243 last_data_time: 0.0204 lr: 0.02 max_mem: 10548M +[04/09 23:00:42] d2.utils.events INFO: eta: 8:48:22 iter: 11319 total_loss: 0.02357 loss_cls: 0.00537 loss_box_reg: 0.01631 loss_rpn_cls: 0.0007409 loss_rpn_loc: 0.0008747 loss_D_img_s: 4.275e-06 time: 0.8085 last_time: 0.8334 data_time: 0.0246 last_data_time: 0.0160 lr: 0.02 max_mem: 10548M +[04/09 23:00:59] d2.utils.events INFO: eta: 8:47:42 iter: 11339 total_loss: 0.02467 loss_cls: 0.005044 loss_box_reg: 0.01602 loss_rpn_cls: 0.000882 loss_rpn_loc: 0.0008176 loss_D_img_s: 4.187e-06 time: 0.8085 last_time: 0.8438 data_time: 0.0201 last_data_time: 0.0157 lr: 0.02 max_mem: 10548M +[04/09 23:01:15] d2.utils.events INFO: eta: 8:46:19 iter: 11359 total_loss: 0.0208 loss_cls: 0.004934 loss_box_reg: 0.01491 loss_rpn_cls: 0.0005522 loss_rpn_loc: 0.0008229 loss_D_img_s: 4.118e-06 time: 0.8085 last_time: 0.8036 data_time: 0.0335 last_data_time: 0.0162 lr: 0.02 max_mem: 10548M +[04/09 23:01:31] d2.utils.events INFO: eta: 8:45:00 iter: 11379 total_loss: 0.02563 loss_cls: 0.005161 loss_box_reg: 0.01817 loss_rpn_cls: 0.001142 loss_rpn_loc: 0.0008792 loss_D_img_s: 4.242e-06 time: 0.8086 last_time: 0.7892 data_time: 0.0219 last_data_time: 0.0196 lr: 0.02 max_mem: 10548M +[04/09 23:01:48] d2.utils.events INFO: eta: 8:43:42 iter: 11399 total_loss: 0.0248 loss_cls: 0.005714 loss_box_reg: 0.0158 loss_rpn_cls: 0.0008437 loss_rpn_loc: 0.0007682 loss_D_img_s: 4.24e-06 time: 0.8086 last_time: 0.8052 data_time: 0.0200 last_data_time: 0.0162 lr: 0.02 max_mem: 10548M +[04/09 23:02:04] d2.utils.events INFO: eta: 8:42:28 iter: 11419 total_loss: 0.0251 loss_cls: 0.005659 loss_box_reg: 0.01723 loss_rpn_cls: 0.001266 loss_rpn_loc: 0.0008399 loss_D_img_s: 4.149e-06 time: 0.8086 last_time: 1.0288 data_time: 0.0242 last_data_time: 0.0147 lr: 0.02 max_mem: 10548M +[04/09 23:02:20] d2.utils.events INFO: eta: 8:40:58 iter: 11439 total_loss: 0.02486 loss_cls: 0.005829 loss_box_reg: 0.01624 loss_rpn_cls: 0.001518 loss_rpn_loc: 0.0008306 loss_D_img_s: 4.255e-06 time: 0.8086 last_time: 0.8160 data_time: 0.0204 last_data_time: 0.0151 lr: 0.02 max_mem: 10548M +[04/09 23:02:37] d2.utils.events INFO: eta: 8:40:12 iter: 11459 total_loss: 0.02543 loss_cls: 0.005764 loss_box_reg: 0.01718 loss_rpn_cls: 0.0007872 loss_rpn_loc: 0.0009068 loss_D_img_s: 4.145e-06 time: 0.8086 last_time: 0.8003 data_time: 0.0207 last_data_time: 0.0160 lr: 0.02 max_mem: 10548M +[04/09 23:02:53] d2.utils.events INFO: eta: 8:38:22 iter: 11479 total_loss: 0.02309 loss_cls: 0.005656 loss_box_reg: 0.01691 loss_rpn_cls: 0.0009703 loss_rpn_loc: 0.0008048 loss_D_img_s: 4.238e-06 time: 0.8086 last_time: 0.7602 data_time: 0.0248 last_data_time: 0.0450 lr: 0.02 max_mem: 10548M +[04/09 23:03:10] d2.utils.events INFO: eta: 8:37:38 iter: 11499 total_loss: 0.02909 loss_cls: 0.006345 loss_box_reg: 0.019 loss_rpn_cls: 0.0007708 loss_rpn_loc: 0.000997 loss_D_img_s: 4.077e-06 time: 0.8087 last_time: 0.7657 data_time: 0.0213 last_data_time: 0.0146 lr: 0.02 max_mem: 10548M +[04/09 23:03:26] d2.utils.events INFO: eta: 8:37:09 iter: 11519 total_loss: 0.02832 loss_cls: 0.006938 loss_box_reg: 0.0175 loss_rpn_cls: 0.001347 loss_rpn_loc: 0.0009206 loss_D_img_s: 4.094e-06 time: 0.8087 last_time: 0.8340 data_time: 0.0193 last_data_time: 0.0157 lr: 0.02 max_mem: 10548M +[04/09 23:03:42] d2.utils.events INFO: eta: 8:37:33 iter: 11539 total_loss: 0.02258 loss_cls: 0.005428 loss_box_reg: 0.016 loss_rpn_cls: 0.0006788 loss_rpn_loc: 0.0007953 loss_D_img_s: 4.069e-06 time: 0.8087 last_time: 0.7408 data_time: 0.0231 last_data_time: 0.0170 lr: 0.02 max_mem: 10548M +[04/09 23:03:59] d2.utils.events INFO: eta: 8:36:36 iter: 11559 total_loss: 0.03013 loss_cls: 0.006024 loss_box_reg: 0.01682 loss_rpn_cls: 0.001703 loss_rpn_loc: 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10548M +[04/09 23:05:04] d2.utils.events INFO: eta: 8:34:04 iter: 11639 total_loss: 0.0257 loss_cls: 0.005318 loss_box_reg: 0.01764 loss_rpn_cls: 0.001015 loss_rpn_loc: 0.0007829 loss_D_img_s: 4.221e-06 time: 0.8088 last_time: 0.7996 data_time: 0.0237 last_data_time: 0.0141 lr: 0.02 max_mem: 10548M +[04/09 23:05:20] d2.utils.events INFO: eta: 8:33:57 iter: 11659 total_loss: 0.02448 loss_cls: 0.006391 loss_box_reg: 0.01592 loss_rpn_cls: 0.0009106 loss_rpn_loc: 0.0007511 loss_D_img_s: 4.332e-06 time: 0.8088 last_time: 0.7790 data_time: 0.0265 last_data_time: 0.0368 lr: 0.02 max_mem: 10548M +[04/09 23:05:37] d2.utils.events INFO: eta: 8:33:34 iter: 11679 total_loss: 0.02869 loss_cls: 0.007518 loss_box_reg: 0.01872 loss_rpn_cls: 0.001098 loss_rpn_loc: 0.0009716 loss_D_img_s: 4.263e-06 time: 0.8088 last_time: 0.7830 data_time: 0.0208 last_data_time: 0.0160 lr: 0.02 max_mem: 10548M +[04/09 23:05:53] d2.utils.events INFO: eta: 8:33:04 iter: 11699 total_loss: 0.02479 loss_cls: 0.005809 loss_box_reg: 0.01698 loss_rpn_cls: 0.001373 loss_rpn_loc: 0.0009384 loss_D_img_s: 3.983e-06 time: 0.8088 last_time: 0.7443 data_time: 0.0181 last_data_time: 0.0154 lr: 0.02 max_mem: 10548M +[04/09 23:06:10] d2.utils.events INFO: eta: 8:32:26 iter: 11719 total_loss: 0.02635 loss_cls: 0.005583 loss_box_reg: 0.01694 loss_rpn_cls: 0.001099 loss_rpn_loc: 0.000926 loss_D_img_s: 3.959e-06 time: 0.8089 last_time: 0.8660 data_time: 0.0217 last_data_time: 0.0249 lr: 0.02 max_mem: 10548M +[04/09 23:06:26] d2.utils.events INFO: eta: 8:31:59 iter: 11739 total_loss: 0.02512 loss_cls: 0.005883 loss_box_reg: 0.01792 loss_rpn_cls: 0.0007129 loss_rpn_loc: 0.0007394 loss_D_img_s: 3.971e-06 time: 0.8088 last_time: 0.7750 data_time: 0.0206 last_data_time: 0.0207 lr: 0.02 max_mem: 10548M +[04/09 23:06:43] d2.utils.events INFO: eta: 8:31:35 iter: 11759 total_loss: 0.0275 loss_cls: 0.006098 loss_box_reg: 0.01846 loss_rpn_cls: 0.001433 loss_rpn_loc: 0.0009902 loss_D_img_s: 4.113e-06 time: 0.8089 last_time: 0.7397 data_time: 0.0197 last_data_time: 0.0155 lr: 0.02 max_mem: 10548M +[04/09 23:06:59] d2.utils.events INFO: eta: 8:31:00 iter: 11779 total_loss: 0.02337 loss_cls: 0.004749 loss_box_reg: 0.01537 loss_rpn_cls: 0.001244 loss_rpn_loc: 0.0009467 loss_D_img_s: 4.487e-06 time: 0.8089 last_time: 0.7957 data_time: 0.0235 last_data_time: 0.0220 lr: 0.02 max_mem: 10548M +[04/09 23:07:15] d2.utils.events INFO: eta: 8:30:23 iter: 11799 total_loss: 0.0257 loss_cls: 0.005381 loss_box_reg: 0.01776 loss_rpn_cls: 0.0009395 loss_rpn_loc: 0.0007617 loss_D_img_s: 4.046e-06 time: 0.8089 last_time: 0.8041 data_time: 0.0187 last_data_time: 0.0144 lr: 0.02 max_mem: 10548M +[04/09 23:07:31] d2.utils.events INFO: eta: 8:30:02 iter: 11819 total_loss: 0.01922 loss_cls: 0.004487 loss_box_reg: 0.01314 loss_rpn_cls: 0.0006773 loss_rpn_loc: 0.0007304 loss_D_img_s: 3.999e-06 time: 0.8089 last_time: 0.8114 data_time: 0.0252 last_data_time: 0.0165 lr: 0.02 max_mem: 10548M +[04/09 23:07:48] d2.utils.events INFO: eta: 8:29:45 iter: 11839 total_loss: 0.02526 loss_cls: 0.005047 loss_box_reg: 0.01556 loss_rpn_cls: 0.001103 loss_rpn_loc: 0.0009163 loss_D_img_s: 3.957e-06 time: 0.8089 last_time: 0.7987 data_time: 0.0178 last_data_time: 0.0371 lr: 0.02 max_mem: 10548M +[04/09 23:08:04] d2.utils.events INFO: eta: 8:29:29 iter: 11859 total_loss: 0.03154 loss_cls: 0.006371 loss_box_reg: 0.01995 loss_rpn_cls: 0.001433 loss_rpn_loc: 0.0009169 loss_D_img_s: 3.936e-06 time: 0.8089 last_time: 0.7901 data_time: 0.0213 last_data_time: 0.0142 lr: 0.02 max_mem: 10548M +[04/09 23:08:21] d2.utils.events INFO: eta: 8:29:19 iter: 11879 total_loss: 0.0209 loss_cls: 0.003942 loss_box_reg: 0.01531 loss_rpn_cls: 0.0009551 loss_rpn_loc: 0.0006926 loss_D_img_s: 4.361e-06 time: 0.8090 last_time: 0.8239 data_time: 0.0199 last_data_time: 0.0154 lr: 0.02 max_mem: 10548M +[04/09 23:08:37] d2.utils.events INFO: eta: 8:29:30 iter: 11899 total_loss: 0.02028 loss_cls: 0.005248 loss_box_reg: 0.01399 loss_rpn_cls: 0.001112 loss_rpn_loc: 0.0008245 loss_D_img_s: 4.14e-06 time: 0.8090 last_time: 0.8285 data_time: 0.0209 last_data_time: 0.0165 lr: 0.02 max_mem: 10548M +[04/09 23:08:53] d2.utils.events INFO: eta: 8:29:22 iter: 11919 total_loss: 0.02431 loss_cls: 0.005985 loss_box_reg: 0.0158 loss_rpn_cls: 0.001272 loss_rpn_loc: 0.0007972 loss_D_img_s: 4.051e-06 time: 0.8090 last_time: 0.8165 data_time: 0.0229 last_data_time: 0.0164 lr: 0.02 max_mem: 10548M +[04/09 23:09:10] d2.utils.events INFO: eta: 8:29:25 iter: 11939 total_loss: 0.02083 loss_cls: 0.004218 loss_box_reg: 0.01455 loss_rpn_cls: 0.000863 loss_rpn_loc: 0.0009188 loss_D_img_s: 4.488e-06 time: 0.8090 last_time: 0.8558 data_time: 0.0189 last_data_time: 0.0335 lr: 0.02 max_mem: 10548M +[04/09 23:09:26] d2.utils.events INFO: eta: 8:29:06 iter: 11959 total_loss: 0.02775 loss_cls: 0.007634 loss_box_reg: 0.01831 loss_rpn_cls: 0.0007327 loss_rpn_loc: 0.0008636 loss_D_img_s: 4.451e-06 time: 0.8090 last_time: 0.7783 data_time: 0.0221 last_data_time: 0.0145 lr: 0.02 max_mem: 10548M +[04/09 23:09:43] d2.utils.events INFO: eta: 8:29:19 iter: 11979 total_loss: 0.03018 loss_cls: 0.0073 loss_box_reg: 0.01989 loss_rpn_cls: 0.001417 loss_rpn_loc: 0.001148 loss_D_img_s: 4.259e-06 time: 0.8091 last_time: 0.7590 data_time: 0.0200 last_data_time: 0.0258 lr: 0.02 max_mem: 10548M +[04/09 23:09:59] d2.data.common INFO: Serializing the dataset using: +[04/09 23:09:59] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 23:09:59] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 23:09:59] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 23:09:59] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 23:10:01] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0036 s/iter. Inference: 0.0613 s/iter. Eval: 0.0001 s/iter. Total: 0.0650 s/iter. ETA=0:00:25 +[04/09 23:10:06] d2.evaluation.evaluator INFO: Inference done 89/410. Dataloading: 0.0064 s/iter. Inference: 0.0579 s/iter. Eval: 0.0002 s/iter. Total: 0.0645 s/iter. ETA=0:00:20 +[04/09 23:10:11] d2.evaluation.evaluator INFO: Inference done 169/410. Dataloading: 0.0072 s/iter. Inference: 0.0563 s/iter. Eval: 0.0002 s/iter. Total: 0.0637 s/iter. ETA=0:00:15 +[04/09 23:10:16] d2.evaluation.evaluator INFO: Inference done 248/410. Dataloading: 0.0080 s/iter. Inference: 0.0553 s/iter. Eval: 0.0002 s/iter. Total: 0.0636 s/iter. ETA=0:00:10 +[04/09 23:10:21] d2.evaluation.evaluator INFO: Inference done 328/410. Dataloading: 0.0080 s/iter. Inference: 0.0551 s/iter. Eval: 0.0002 s/iter. Total: 0.0634 s/iter. ETA=0:00:05 +[04/09 23:10:26] d2.evaluation.evaluator INFO: Inference done 402/410. Dataloading: 0.0090 s/iter. Inference: 0.0549 s/iter. Eval: 0.0002 s/iter. Total: 0.0642 s/iter. ETA=0:00:00 +[04/09 23:10:26] d2.evaluation.evaluator INFO: Total inference time: 0:00:25.996619 (0.064189 s / iter per device, on 1 devices) +[04/09 23:10:26] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.054788 s / iter per device, on 1 devices) +[04/09 23:10:26] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 23:10:26] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 23:10:26] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 23:10:26] d2.evaluation.testing INFO: copypaste: 0.3994,1.7352,0.0000 +[04/09 23:10:26] d2.data.common INFO: Serializing the dataset using: +[04/09 23:10:26] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 23:10:26] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 23:10:26] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 23:10:26] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 23:10:31] d2.evaluation.evaluator INFO: Inference done 56/410. 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ETA=0:00:03 +[04/09 23:10:54] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.075514 (0.066853 s / iter per device, on 1 devices) +[04/09 23:10:54] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.056757 s / iter per device, on 1 devices) +[04/09 23:10:55] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 23:10:55] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 23:10:55] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 23:10:55] d2.evaluation.testing INFO: copypaste: 0.3766,2.1771,0.0000 +[04/09 23:10:55] d2.utils.events INFO: eta: 8:28:40 iter: 11999 total_loss: 0.02487 loss_cls: 0.006936 loss_box_reg: 0.01608 loss_rpn_cls: 0.001308 loss_rpn_loc: 0.0008492 loss_D_img_s: 4.335e-06 time: 0.8091 last_time: 0.7443 data_time: 0.0283 last_data_time: 0.0218 lr: 0.02 max_mem: 10548M +[04/09 23:11:10] d2.utils.events INFO: eta: 8:27:57 iter: 12019 total_loss: 0.02665 loss_cls: 0.005298 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INFO: eta: 8:26:17 iter: 12159 total_loss: 0.02726 loss_cls: 0.006484 loss_box_reg: 0.01726 loss_rpn_cls: 0.0008922 loss_rpn_loc: 0.0008679 loss_D_img_s: 4.074e-06 time: 0.8090 last_time: 0.7880 data_time: 0.0181 last_data_time: 0.0164 lr: 0.02 max_mem: 10548M +[04/09 23:13:19] d2.utils.events INFO: eta: 8:25:55 iter: 12179 total_loss: 0.02683 loss_cls: 0.00778 loss_box_reg: 0.0179 loss_rpn_cls: 0.00123 loss_rpn_loc: 0.0007056 loss_D_img_s: 4.247e-06 time: 0.8090 last_time: 0.7995 data_time: 0.0221 last_data_time: 0.0149 lr: 0.02 max_mem: 10548M +[04/09 23:13:36] d2.utils.events INFO: eta: 8:25:50 iter: 12199 total_loss: 0.02634 loss_cls: 0.00586 loss_box_reg: 0.0177 loss_rpn_cls: 0.001126 loss_rpn_loc: 0.001033 loss_D_img_s: 4.205e-06 time: 0.8090 last_time: 0.8281 data_time: 0.0212 last_data_time: 0.0157 lr: 0.02 max_mem: 10548M +[04/09 23:13:52] d2.utils.events INFO: eta: 8:25:44 iter: 12219 total_loss: 0.02941 loss_cls: 0.009607 loss_box_reg: 0.01909 loss_rpn_cls: 0.001597 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lr: 0.02 max_mem: 10548M +[04/09 23:14:58] d2.utils.events INFO: eta: 8:25:29 iter: 12299 total_loss: 0.02785 loss_cls: 0.007343 loss_box_reg: 0.01718 loss_rpn_cls: 0.001654 loss_rpn_loc: 0.0009245 loss_D_img_s: 3.867e-06 time: 0.8091 last_time: 0.8363 data_time: 0.0205 last_data_time: 0.0371 lr: 0.02 max_mem: 10548M +[04/09 23:15:14] d2.utils.events INFO: eta: 8:25:36 iter: 12319 total_loss: 0.02672 loss_cls: 0.006132 loss_box_reg: 0.01839 loss_rpn_cls: 0.0008146 loss_rpn_loc: 0.0009745 loss_D_img_s: 3.865e-06 time: 0.8091 last_time: 0.8185 data_time: 0.0234 last_data_time: 0.0178 lr: 0.02 max_mem: 10548M +[04/09 23:15:31] d2.utils.events INFO: eta: 8:25:21 iter: 12339 total_loss: 0.02245 loss_cls: 0.004677 loss_box_reg: 0.01451 loss_rpn_cls: 0.0005747 loss_rpn_loc: 0.0007171 loss_D_img_s: 4.018e-06 time: 0.8092 last_time: 0.7677 data_time: 0.0211 last_data_time: 0.0155 lr: 0.02 max_mem: 10548M +[04/09 23:15:47] d2.utils.events INFO: eta: 8:24:35 iter: 12359 total_loss: 0.02238 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d2.utils.events INFO: eta: 8:23:49 iter: 12499 total_loss: 0.02814 loss_cls: 0.006364 loss_box_reg: 0.01891 loss_rpn_cls: 0.001543 loss_rpn_loc: 0.0007285 loss_D_img_s: 4.028e-06 time: 0.8092 last_time: 0.8341 data_time: 0.0193 last_data_time: 0.0296 lr: 0.02 max_mem: 10548M +[04/09 23:17:57] d2.utils.events INFO: eta: 8:23:35 iter: 12519 total_loss: 0.02567 loss_cls: 0.006331 loss_box_reg: 0.01676 loss_rpn_cls: 0.001168 loss_rpn_loc: 0.0007894 loss_D_img_s: 3.874e-06 time: 0.8092 last_time: 0.8123 data_time: 0.0208 last_data_time: 0.0193 lr: 0.02 max_mem: 10548M +[04/09 23:18:13] d2.utils.events INFO: eta: 8:23:09 iter: 12539 total_loss: 0.02457 loss_cls: 0.006806 loss_box_reg: 0.01691 loss_rpn_cls: 0.001228 loss_rpn_loc: 0.0008141 loss_D_img_s: 4.132e-06 time: 0.8092 last_time: 0.8387 data_time: 0.0215 last_data_time: 0.0153 lr: 0.02 max_mem: 10548M +[04/09 23:18:29] d2.utils.events INFO: eta: 8:23:21 iter: 12559 total_loss: 0.02284 loss_cls: 0.005403 loss_box_reg: 0.01467 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loss_box_reg: 0.01699 loss_rpn_cls: 0.001035 loss_rpn_loc: 0.0007369 loss_D_img_s: 3.967e-06 time: 0.8094 last_time: 0.8498 data_time: 0.0250 last_data_time: 0.0205 lr: 0.02 max_mem: 10548M +[04/09 23:23:24] d2.utils.events INFO: eta: 8:18:34 iter: 12919 total_loss: 0.02528 loss_cls: 0.00627 loss_box_reg: 0.01819 loss_rpn_cls: 0.0008834 loss_rpn_loc: 0.0008884 loss_D_img_s: 3.913e-06 time: 0.8094 last_time: 0.7447 data_time: 0.0214 last_data_time: 0.0264 lr: 0.02 max_mem: 10548M +[04/09 23:23:40] d2.utils.events INFO: eta: 8:18:12 iter: 12939 total_loss: 0.02627 loss_cls: 0.005096 loss_box_reg: 0.01783 loss_rpn_cls: 0.001249 loss_rpn_loc: 0.0007507 loss_D_img_s: 3.763e-06 time: 0.8094 last_time: 0.7531 data_time: 0.0208 last_data_time: 0.0155 lr: 0.02 max_mem: 10548M +[04/09 23:23:56] d2.utils.events INFO: eta: 8:17:59 iter: 12959 total_loss: 0.02307 loss_cls: 0.006664 loss_box_reg: 0.01442 loss_rpn_cls: 0.001772 loss_rpn_loc: 0.0008085 loss_D_img_s: 4.107e-06 time: 0.8094 last_time: 0.7962 data_time: 0.0207 last_data_time: 0.0142 lr: 0.02 max_mem: 10548M +[04/09 23:24:12] d2.utils.events INFO: eta: 8:17:22 iter: 12979 total_loss: 0.02874 loss_cls: 0.00788 loss_box_reg: 0.0179 loss_rpn_cls: 0.001547 loss_rpn_loc: 0.000766 loss_D_img_s: 3.915e-06 time: 0.8094 last_time: 0.7551 data_time: 0.0176 last_data_time: 0.0156 lr: 0.02 max_mem: 10548M +[04/09 23:24:29] d2.data.common INFO: Serializing the dataset using: +[04/09 23:24:29] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 23:24:29] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 23:24:29] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 23:24:29] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 23:24:30] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0186 s/iter. Inference: 0.0687 s/iter. Eval: 0.0001 s/iter. Total: 0.0874 s/iter. ETA=0:00:34 +[04/09 23:24:35] d2.evaluation.evaluator INFO: Inference done 84/410. Dataloading: 0.0108 s/iter. Inference: 0.0594 s/iter. Eval: 0.0002 s/iter. Total: 0.0704 s/iter. ETA=0:00:22 +[04/09 23:24:40] d2.evaluation.evaluator INFO: Inference done 160/410. Dataloading: 0.0120 s/iter. Inference: 0.0562 s/iter. Eval: 0.0002 s/iter. Total: 0.0685 s/iter. ETA=0:00:17 +[04/09 23:24:45] d2.evaluation.evaluator INFO: Inference done 239/410. Dataloading: 0.0116 s/iter. Inference: 0.0551 s/iter. Eval: 0.0002 s/iter. Total: 0.0670 s/iter. ETA=0:00:11 +[04/09 23:24:50] d2.evaluation.evaluator INFO: Inference done 314/410. Dataloading: 0.0112 s/iter. Inference: 0.0557 s/iter. Eval: 0.0002 s/iter. Total: 0.0672 s/iter. ETA=0:00:06 +[04/09 23:24:55] d2.evaluation.evaluator INFO: Inference done 393/410. Dataloading: 0.0111 s/iter. Inference: 0.0552 s/iter. Eval: 0.0002 s/iter. Total: 0.0665 s/iter. ETA=0:00:01 +[04/09 23:24:57] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.978233 (0.066613 s / iter per device, on 1 devices) +[04/09 23:24:57] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.054942 s / iter per device, on 1 devices) +[04/09 23:24:57] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 23:24:57] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 23:24:57] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 23:24:57] d2.evaluation.testing INFO: copypaste: 0.3556,1.7745,0.0000 +[04/09 23:24:57] d2.data.common INFO: Serializing the dataset using: +[04/09 23:24:57] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 23:24:57] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 23:24:57] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 23:24:57] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 23:25:00] d2.evaluation.evaluator INFO: Inference done 47/410. Dataloading: 0.0180 s/iter. Inference: 0.0539 s/iter. Eval: 0.0002 s/iter. Total: 0.0722 s/iter. ETA=0:00:26 +[04/09 23:25:05] d2.evaluation.evaluator INFO: Inference done 126/410. Dataloading: 0.0120 s/iter. Inference: 0.0540 s/iter. Eval: 0.0002 s/iter. Total: 0.0664 s/iter. ETA=0:00:18 +[04/09 23:25:11] d2.evaluation.evaluator INFO: Inference done 203/410. Dataloading: 0.0118 s/iter. Inference: 0.0540 s/iter. Eval: 0.0002 s/iter. Total: 0.0661 s/iter. ETA=0:00:13 +[04/09 23:25:16] d2.evaluation.evaluator INFO: Inference done 282/410. Dataloading: 0.0112 s/iter. Inference: 0.0539 s/iter. Eval: 0.0002 s/iter. Total: 0.0655 s/iter. ETA=0:00:08 +[04/09 23:25:21] d2.evaluation.evaluator INFO: Inference done 361/410. Dataloading: 0.0111 s/iter. Inference: 0.0538 s/iter. Eval: 0.0002 s/iter. Total: 0.0651 s/iter. ETA=0:00:03 +[04/09 23:25:24] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.142187 (0.064549 s / iter per device, on 1 devices) +[04/09 23:25:24] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:21 (0.053721 s / iter per device, on 1 devices) +[04/09 23:25:24] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 23:25:24] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 23:25:24] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 23:25:24] d2.evaluation.testing INFO: copypaste: 0.4018,2.3767,0.0000 +[04/09 23:25:24] d2.utils.events INFO: eta: 8:17:08 iter: 12999 total_loss: 0.02119 loss_cls: 0.005674 loss_box_reg: 0.01522 loss_rpn_cls: 0.0009027 loss_rpn_loc: 0.0009372 loss_D_img_s: 3.972e-06 time: 0.8094 last_time: 1.0104 data_time: 0.0210 last_data_time: 0.0428 lr: 0.02 max_mem: 10548M +[04/09 23:25:39] d2.utils.events INFO: eta: 8:16:39 iter: 13019 total_loss: 0.01891 loss_cls: 0.005086 loss_box_reg: 0.01263 loss_rpn_cls: 0.0005247 loss_rpn_loc: 0.0008019 loss_D_img_s: 4.343e-06 time: 0.8094 last_time: 0.8054 data_time: 0.0231 last_data_time: 0.0167 lr: 0.02 max_mem: 10548M +[04/09 23:25:55] d2.utils.events INFO: eta: 8:16:44 iter: 13039 total_loss: 0.02171 loss_cls: 0.004525 loss_box_reg: 0.0159 loss_rpn_cls: 0.0008628 loss_rpn_loc: 0.0007019 loss_D_img_s: 3.95e-06 time: 0.8094 last_time: 0.9051 data_time: 0.0160 last_data_time: 0.0140 lr: 0.02 max_mem: 10548M +[04/09 23:26:12] d2.utils.events INFO: eta: 8:16:54 iter: 13059 total_loss: 0.02417 loss_cls: 0.005675 loss_box_reg: 0.0164 loss_rpn_cls: 0.001235 loss_rpn_loc: 0.0005913 loss_D_img_s: 3.776e-06 time: 0.8094 last_time: 0.7899 data_time: 0.0255 last_data_time: 0.0163 lr: 0.02 max_mem: 10548M +[04/09 23:26:28] d2.utils.events INFO: eta: 8:16:23 iter: 13079 total_loss: 0.02382 loss_cls: 0.004461 loss_box_reg: 0.01523 loss_rpn_cls: 0.001031 loss_rpn_loc: 0.0008735 loss_D_img_s: 3.967e-06 time: 0.8094 last_time: 0.6967 data_time: 0.0211 last_data_time: 0.0139 lr: 0.02 max_mem: 10548M +[04/09 23:26:45] d2.utils.events INFO: eta: 8:16:03 iter: 13099 total_loss: 0.02231 loss_cls: 0.005173 loss_box_reg: 0.01504 loss_rpn_cls: 0.000779 loss_rpn_loc: 0.0008139 loss_D_img_s: 3.979e-06 time: 0.8095 last_time: 1.0656 data_time: 0.0241 last_data_time: 0.0386 lr: 0.02 max_mem: 10548M +[04/09 23:27:01] d2.utils.events INFO: eta: 8:15:18 iter: 13119 total_loss: 0.02448 loss_cls: 0.006352 loss_box_reg: 0.01517 loss_rpn_cls: 0.001581 loss_rpn_loc: 0.0009518 loss_D_img_s: 3.984e-06 time: 0.8095 last_time: 0.9049 data_time: 0.0179 last_data_time: 0.0230 lr: 0.02 max_mem: 10548M +[04/09 23:27:18] d2.utils.events INFO: eta: 8:14:57 iter: 13139 total_loss: 0.02893 loss_cls: 0.006924 loss_box_reg: 0.01867 loss_rpn_cls: 0.001868 loss_rpn_loc: 0.0009187 loss_D_img_s: 3.859e-06 time: 0.8095 last_time: 0.7529 data_time: 0.0180 last_data_time: 0.0149 lr: 0.02 max_mem: 10548M +[04/09 23:27:34] d2.utils.events INFO: eta: 8:14:37 iter: 13159 total_loss: 0.02603 loss_cls: 0.006215 loss_box_reg: 0.01814 loss_rpn_cls: 0.0009569 loss_rpn_loc: 0.0008859 loss_D_img_s: 4.102e-06 time: 0.8095 last_time: 0.7867 data_time: 0.0223 last_data_time: 0.0150 lr: 0.02 max_mem: 10548M +[04/09 23:27:50] d2.utils.events INFO: eta: 8:14:36 iter: 13179 total_loss: 0.02796 loss_cls: 0.007485 loss_box_reg: 0.01736 loss_rpn_cls: 0.001698 loss_rpn_loc: 0.0007359 loss_D_img_s: 3.963e-06 time: 0.8095 last_time: 0.8368 data_time: 0.0176 last_data_time: 0.0155 lr: 0.02 max_mem: 10548M +[04/09 23:28:07] d2.utils.events INFO: eta: 8:14:45 iter: 13199 total_loss: 0.02323 loss_cls: 0.005027 loss_box_reg: 0.01541 loss_rpn_cls: 0.0008927 loss_rpn_loc: 0.0007681 loss_D_img_s: 4.074e-06 time: 0.8095 last_time: 0.8002 data_time: 0.0244 last_data_time: 0.0147 lr: 0.02 max_mem: 10548M +[04/09 23:28:24] d2.utils.events INFO: eta: 8:14:43 iter: 13219 total_loss: 0.02615 loss_cls: 0.00629 loss_box_reg: 0.01554 loss_rpn_cls: 0.001512 loss_rpn_loc: 0.001002 loss_D_img_s: 4.078e-06 time: 0.8096 last_time: 0.8478 data_time: 0.0281 last_data_time: 0.0176 lr: 0.02 max_mem: 10548M +[04/09 23:28:40] d2.utils.events INFO: eta: 8:14:12 iter: 13239 total_loss: 0.02674 loss_cls: 0.006603 loss_box_reg: 0.01611 loss_rpn_cls: 0.001075 loss_rpn_loc: 0.0008206 loss_D_img_s: 4.067e-06 time: 0.8096 last_time: 1.0139 data_time: 0.0187 last_data_time: 0.0142 lr: 0.02 max_mem: 10548M +[04/09 23:28:56] d2.utils.events INFO: eta: 8:13:56 iter: 13259 total_loss: 0.02039 loss_cls: 0.004476 loss_box_reg: 0.01459 loss_rpn_cls: 0.0009174 loss_rpn_loc: 0.0008295 loss_D_img_s: 3.99e-06 time: 0.8096 last_time: 0.8350 data_time: 0.0226 last_data_time: 0.0388 lr: 0.02 max_mem: 10548M +[04/09 23:29:12] d2.utils.events INFO: eta: 8:13:20 iter: 13279 total_loss: 0.02123 loss_cls: 0.005135 loss_box_reg: 0.01485 loss_rpn_cls: 0.001051 loss_rpn_loc: 0.0007827 loss_D_img_s: 3.648e-06 time: 0.8096 last_time: 0.8019 data_time: 0.0195 last_data_time: 0.0143 lr: 0.02 max_mem: 10548M +[04/09 23:29:28] d2.utils.events INFO: eta: 8:12:56 iter: 13299 total_loss: 0.02524 loss_cls: 0.006473 loss_box_reg: 0.01783 loss_rpn_cls: 0.0007467 loss_rpn_loc: 0.001032 loss_D_img_s: 3.806e-06 time: 0.8096 last_time: 0.7931 data_time: 0.0186 last_data_time: 0.0139 lr: 0.02 max_mem: 10548M +[04/09 23:29:45] d2.utils.events INFO: eta: 8:12:21 iter: 13319 total_loss: 0.02384 loss_cls: 0.005407 loss_box_reg: 0.01509 loss_rpn_cls: 0.001485 loss_rpn_loc: 0.0007905 loss_D_img_s: 3.687e-06 time: 0.8096 last_time: 0.7896 data_time: 0.0277 last_data_time: 0.0163 lr: 0.02 max_mem: 10548M +[04/09 23:30:02] d2.utils.events INFO: eta: 8:12:03 iter: 13339 total_loss: 0.02393 loss_cls: 0.004479 loss_box_reg: 0.01714 loss_rpn_cls: 0.0009417 loss_rpn_loc: 0.0008495 loss_D_img_s: 3.7e-06 time: 0.8097 last_time: 0.8695 data_time: 0.0223 last_data_time: 0.0132 lr: 0.02 max_mem: 10548M +[04/09 23:30:18] d2.utils.events INFO: eta: 8:11:47 iter: 13359 total_loss: 0.02539 loss_cls: 0.005804 loss_box_reg: 0.0168 loss_rpn_cls: 0.001103 loss_rpn_loc: 0.001023 loss_D_img_s: 3.9e-06 time: 0.8096 last_time: 0.8444 data_time: 0.0225 last_data_time: 0.0147 lr: 0.02 max_mem: 10548M +[04/09 23:30:35] d2.utils.events INFO: eta: 8:12:12 iter: 13379 total_loss: 0.01808 loss_cls: 0.004109 loss_box_reg: 0.01259 loss_rpn_cls: 0.0007293 loss_rpn_loc: 0.0006334 loss_D_img_s: 4.079e-06 time: 0.8097 last_time: 0.8087 data_time: 0.0256 last_data_time: 0.0162 lr: 0.02 max_mem: 10548M +[04/09 23:30:51] d2.utils.events INFO: eta: 8:11:40 iter: 13399 total_loss: 0.02169 loss_cls: 0.004338 loss_box_reg: 0.01429 loss_rpn_cls: 0.001157 loss_rpn_loc: 0.001088 loss_D_img_s: 4.079e-06 time: 0.8097 last_time: 0.8366 data_time: 0.0192 last_data_time: 0.0163 lr: 0.02 max_mem: 10548M +[04/09 23:31:07] d2.utils.events INFO: eta: 8:10:31 iter: 13419 total_loss: 0.02287 loss_cls: 0.005678 loss_box_reg: 0.01478 loss_rpn_cls: 0.001457 loss_rpn_loc: 0.0007904 loss_D_img_s: 3.956e-06 time: 0.8097 last_time: 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max_mem: 10548M +[04/09 23:34:07] d2.utils.events INFO: eta: 8:07:36 iter: 13639 total_loss: 0.02858 loss_cls: 0.006087 loss_box_reg: 0.01867 loss_rpn_cls: 0.001233 loss_rpn_loc: 0.0009796 loss_D_img_s: 4.141e-06 time: 0.8098 last_time: 0.9489 data_time: 0.0214 last_data_time: 0.0168 lr: 0.02 max_mem: 10548M +[04/09 23:34:23] d2.utils.events INFO: eta: 8:07:46 iter: 13659 total_loss: 0.02443 loss_cls: 0.006235 loss_box_reg: 0.01506 loss_rpn_cls: 0.001032 loss_rpn_loc: 0.0008422 loss_D_img_s: 3.737e-06 time: 0.8098 last_time: 0.7761 data_time: 0.0261 last_data_time: 0.0383 lr: 0.02 max_mem: 10548M +[04/09 23:34:40] d2.utils.events INFO: eta: 8:07:51 iter: 13679 total_loss: 0.02101 loss_cls: 0.005067 loss_box_reg: 0.01462 loss_rpn_cls: 0.001054 loss_rpn_loc: 0.0008539 loss_D_img_s: 4.104e-06 time: 0.8099 last_time: 0.8187 data_time: 0.0214 last_data_time: 0.0148 lr: 0.02 max_mem: 10548M +[04/09 23:34:56] d2.utils.events INFO: eta: 8:06:48 iter: 13699 total_loss: 0.01999 loss_cls: 0.00457 loss_box_reg: 0.01452 loss_rpn_cls: 0.0008467 loss_rpn_loc: 0.0007275 loss_D_img_s: 3.891e-06 time: 0.8099 last_time: 0.7836 data_time: 0.0211 last_data_time: 0.0194 lr: 0.02 max_mem: 10548M +[04/09 23:35:13] d2.utils.events INFO: eta: 8:06:59 iter: 13719 total_loss: 0.02247 loss_cls: 0.005739 loss_box_reg: 0.01433 loss_rpn_cls: 0.0006522 loss_rpn_loc: 0.0007569 loss_D_img_s: 3.967e-06 time: 0.8099 last_time: 0.8756 data_time: 0.0274 last_data_time: 0.0529 lr: 0.02 max_mem: 10548M +[04/09 23:35:29] d2.utils.events INFO: eta: 8:07:06 iter: 13739 total_loss: 0.02808 loss_cls: 0.005896 loss_box_reg: 0.01763 loss_rpn_cls: 0.00125 loss_rpn_loc: 0.001048 loss_D_img_s: 4.023e-06 time: 0.8099 last_time: 0.7920 data_time: 0.0256 last_data_time: 0.0148 lr: 0.02 max_mem: 10548M +[04/09 23:35:46] d2.utils.events INFO: eta: 8:07:02 iter: 13759 total_loss: 0.02787 loss_cls: 0.006623 loss_box_reg: 0.01614 loss_rpn_cls: 0.001732 loss_rpn_loc: 0.000837 loss_D_img_s: 4.153e-06 time: 0.8099 last_time: 0.8134 data_time: 0.0179 last_data_time: 0.0145 lr: 0.02 max_mem: 10548M +[04/09 23:36:02] d2.utils.events INFO: eta: 8:06:46 iter: 13779 total_loss: 0.02551 loss_cls: 0.005688 loss_box_reg: 0.01868 loss_rpn_cls: 0.0008626 loss_rpn_loc: 0.0009308 loss_D_img_s: 4.18e-06 time: 0.8099 last_time: 0.8002 data_time: 0.0249 last_data_time: 0.0432 lr: 0.02 max_mem: 10548M +[04/09 23:36:18] d2.utils.events INFO: eta: 8:06:13 iter: 13799 total_loss: 0.02601 loss_cls: 0.005951 loss_box_reg: 0.01758 loss_rpn_cls: 0.001175 loss_rpn_loc: 0.0008168 loss_D_img_s: 3.868e-06 time: 0.8099 last_time: 0.9783 data_time: 0.0206 last_data_time: 0.0363 lr: 0.02 max_mem: 10548M +[04/09 23:36:35] d2.utils.events INFO: eta: 8:06:00 iter: 13819 total_loss: 0.02327 loss_cls: 0.004846 loss_box_reg: 0.01536 loss_rpn_cls: 0.001133 loss_rpn_loc: 0.0007442 loss_D_img_s: 3.756e-06 time: 0.8099 last_time: 0.8585 data_time: 0.0225 last_data_time: 0.0162 lr: 0.02 max_mem: 10548M +[04/09 23:36:51] d2.utils.events INFO: eta: 8:05:48 iter: 13839 total_loss: 0.02222 loss_cls: 0.004483 loss_box_reg: 0.01533 loss_rpn_cls: 0.00079 loss_rpn_loc: 0.0009208 loss_D_img_s: 3.876e-06 time: 0.8100 last_time: 0.8488 data_time: 0.0218 last_data_time: 0.0155 lr: 0.02 max_mem: 10548M +[04/09 23:37:07] d2.utils.events INFO: eta: 8:05:35 iter: 13859 total_loss: 0.02306 loss_cls: 0.004801 loss_box_reg: 0.01595 loss_rpn_cls: 0.0007781 loss_rpn_loc: 0.0009599 loss_D_img_s: 3.909e-06 time: 0.8100 last_time: 0.8796 data_time: 0.0226 last_data_time: 0.0165 lr: 0.02 max_mem: 10548M +[04/09 23:37:24] d2.utils.events INFO: eta: 8:05:23 iter: 13879 total_loss: 0.0249 loss_cls: 0.00716 loss_box_reg: 0.01631 loss_rpn_cls: 0.001233 loss_rpn_loc: 0.0008213 loss_D_img_s: 3.643e-06 time: 0.8100 last_time: 0.9120 data_time: 0.0227 last_data_time: 0.0282 lr: 0.02 max_mem: 10548M +[04/09 23:37:42] d2.utils.events INFO: eta: 8:05:09 iter: 13899 total_loss: 0.02569 loss_cls: 0.004984 loss_box_reg: 0.01654 loss_rpn_cls: 0.001076 loss_rpn_loc: 0.0008121 loss_D_img_s: 3.941e-06 time: 0.8101 last_time: 0.8544 data_time: 0.0216 last_data_time: 0.0138 lr: 0.02 max_mem: 10548M +[04/09 23:37:58] d2.utils.events INFO: eta: 8:05:04 iter: 13919 total_loss: 0.02805 loss_cls: 0.005475 loss_box_reg: 0.01919 loss_rpn_cls: 0.001194 loss_rpn_loc: 0.0007083 loss_D_img_s: 4.072e-06 time: 0.8101 last_time: 1.2322 data_time: 0.0210 last_data_time: 0.0213 lr: 0.02 max_mem: 10548M +[04/09 23:38:14] d2.utils.events INFO: eta: 8:04:48 iter: 13939 total_loss: 0.02026 loss_cls: 0.004254 loss_box_reg: 0.01388 loss_rpn_cls: 0.001016 loss_rpn_loc: 0.0007004 loss_D_img_s: 3.823e-06 time: 0.8101 last_time: 0.7919 data_time: 0.0199 last_data_time: 0.0227 lr: 0.02 max_mem: 10548M +[04/09 23:38:31] d2.utils.events INFO: eta: 8:04:43 iter: 13959 total_loss: 0.02316 loss_cls: 0.005604 loss_box_reg: 0.01549 loss_rpn_cls: 0.0008393 loss_rpn_loc: 0.0007004 loss_D_img_s: 3.739e-06 time: 0.8101 last_time: 0.7755 data_time: 0.0250 last_data_time: 0.0130 lr: 0.02 max_mem: 10548M +[04/09 23:38:48] d2.utils.events INFO: eta: 8:05:05 iter: 13979 total_loss: 0.021 loss_cls: 0.005179 loss_box_reg: 0.01399 loss_rpn_cls: 0.0009059 loss_rpn_loc: 0.0007199 loss_D_img_s: 3.885e-06 time: 0.8102 last_time: 0.7758 data_time: 0.0222 last_data_time: 0.0158 lr: 0.02 max_mem: 10548M +[04/09 23:39:04] d2.data.common INFO: Serializing the dataset using: +[04/09 23:39:04] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 23:39:04] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 23:39:04] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 23:39:04] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 23:39:06] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0275 s/iter. Inference: 0.0690 s/iter. Eval: 0.0004 s/iter. Total: 0.0968 s/iter. ETA=0:00:38 +[04/09 23:39:11] d2.evaluation.evaluator INFO: Inference done 73/410. Dataloading: 0.0222 s/iter. Inference: 0.0601 s/iter. Eval: 0.0002 s/iter. Total: 0.0825 s/iter. ETA=0:00:27 +[04/09 23:39:16] d2.evaluation.evaluator INFO: Inference done 143/410. Dataloading: 0.0169 s/iter. Inference: 0.0601 s/iter. Eval: 0.0002 s/iter. Total: 0.0772 s/iter. ETA=0:00:20 +[04/09 23:39:21] d2.evaluation.evaluator INFO: Inference done 216/410. Dataloading: 0.0148 s/iter. Inference: 0.0594 s/iter. Eval: 0.0002 s/iter. Total: 0.0745 s/iter. ETA=0:00:14 +[04/09 23:39:26] d2.evaluation.evaluator INFO: Inference done 295/410. Dataloading: 0.0126 s/iter. Inference: 0.0586 s/iter. Eval: 0.0002 s/iter. Total: 0.0714 s/iter. ETA=0:00:08 +[04/09 23:39:31] d2.evaluation.evaluator INFO: Inference done 371/410. Dataloading: 0.0116 s/iter. Inference: 0.0584 s/iter. Eval: 0.0002 s/iter. Total: 0.0703 s/iter. ETA=0:00:02 +[04/09 23:39:33] d2.evaluation.evaluator INFO: Total inference time: 0:00:28.260221 (0.069778 s / iter per device, on 1 devices) +[04/09 23:39:33] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057994 s / iter per device, on 1 devices) +[04/09 23:39:33] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 23:39:33] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 23:39:33] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 23:39:33] d2.evaluation.testing INFO: copypaste: 0.7582,3.4746,0.0055 +[04/09 23:39:34] d2.data.common INFO: Serializing the dataset using: +[04/09 23:39:34] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 23:39:34] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 23:39:34] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 23:39:34] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 23:39:36] d2.evaluation.evaluator INFO: Inference done 24/410. Dataloading: 0.0243 s/iter. Inference: 0.0553 s/iter. Eval: 0.0002 s/iter. Total: 0.0798 s/iter. ETA=0:00:30 +[04/09 23:39:41] d2.evaluation.evaluator INFO: Inference done 96/410. Dataloading: 0.0148 s/iter. Inference: 0.0566 s/iter. Eval: 0.0002 s/iter. Total: 0.0717 s/iter. ETA=0:00:22 +[04/09 23:39:46] d2.evaluation.evaluator INFO: Inference done 169/410. Dataloading: 0.0139 s/iter. Inference: 0.0568 s/iter. Eval: 0.0002 s/iter. Total: 0.0710 s/iter. ETA=0:00:17 +[04/09 23:39:51] d2.evaluation.evaluator INFO: Inference done 233/410. Dataloading: 0.0131 s/iter. Inference: 0.0596 s/iter. Eval: 0.0003 s/iter. Total: 0.0731 s/iter. ETA=0:00:12 +[04/09 23:39:56] d2.evaluation.evaluator INFO: Inference done 308/410. Dataloading: 0.0122 s/iter. Inference: 0.0590 s/iter. Eval: 0.0002 s/iter. Total: 0.0716 s/iter. ETA=0:00:07 +[04/09 23:40:01] d2.evaluation.evaluator INFO: Inference done 383/410. Dataloading: 0.0124 s/iter. Inference: 0.0581 s/iter. Eval: 0.0002 s/iter. Total: 0.0708 s/iter. ETA=0:00:01 +[04/09 23:40:03] d2.evaluation.evaluator INFO: Total inference time: 0:00:28.519104 (0.070418 s / iter per device, on 1 devices) +[04/09 23:40:03] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057602 s / iter per device, on 1 devices) +[04/09 23:40:03] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 23:40:03] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 23:40:03] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 23:40:03] d2.evaluation.testing INFO: copypaste: 0.4264,2.4397,0.0000 +[04/09 23:40:03] d2.utils.events INFO: eta: 8:04:30 iter: 13999 total_loss: 0.01954 loss_cls: 0.004404 loss_box_reg: 0.01367 loss_rpn_cls: 0.000757 loss_rpn_loc: 0.000769 loss_D_img_s: 3.752e-06 time: 0.8102 last_time: 1.2317 data_time: 0.0283 last_data_time: 0.0146 lr: 0.02 max_mem: 10548M +[04/09 23:40:18] d2.utils.events INFO: eta: 8:04:38 iter: 14019 total_loss: 0.01895 loss_cls: 0.003636 loss_box_reg: 0.01402 loss_rpn_cls: 0.0006925 loss_rpn_loc: 0.0008709 loss_D_img_s: 3.893e-06 time: 0.8101 last_time: 0.7493 data_time: 0.0256 last_data_time: 0.0153 lr: 0.02 max_mem: 10548M +[04/09 23:40:35] d2.utils.events INFO: eta: 8:04:09 iter: 14039 total_loss: 0.02397 loss_cls: 0.006376 loss_box_reg: 0.01496 loss_rpn_cls: 0.001261 loss_rpn_loc: 0.0007271 loss_D_img_s: 3.71e-06 time: 0.8102 last_time: 0.8604 data_time: 0.0184 last_data_time: 0.0151 lr: 0.02 max_mem: 10548M +[04/09 23:40:51] d2.utils.events INFO: eta: 8:03:53 iter: 14059 total_loss: 0.02554 loss_cls: 0.005383 loss_box_reg: 0.01602 loss_rpn_cls: 0.0009888 loss_rpn_loc: 0.0009673 loss_D_img_s: 4.06e-06 time: 0.8102 last_time: 0.8389 data_time: 0.0228 last_data_time: 0.0159 lr: 0.02 max_mem: 10548M +[04/09 23:41:08] d2.utils.events INFO: eta: 8:04:04 iter: 14079 total_loss: 0.02075 loss_cls: 0.004376 loss_box_reg: 0.01542 loss_rpn_cls: 0.0006026 loss_rpn_loc: 0.000743 loss_D_img_s: 3.76e-06 time: 0.8102 last_time: 0.9285 data_time: 0.0255 last_data_time: 0.0130 lr: 0.02 max_mem: 10548M +[04/09 23:41:24] d2.utils.events INFO: eta: 8:03:40 iter: 14099 total_loss: 0.02341 loss_cls: 0.005442 loss_box_reg: 0.01616 loss_rpn_cls: 0.0007965 loss_rpn_loc: 0.0008004 loss_D_img_s: 3.989e-06 time: 0.8102 last_time: 1.0896 data_time: 0.0200 last_data_time: 0.0296 lr: 0.02 max_mem: 10548M +[04/09 23:41:41] d2.utils.events INFO: eta: 8:04:06 iter: 14119 total_loss: 0.02143 loss_cls: 0.005613 loss_box_reg: 0.01492 loss_rpn_cls: 0.0007956 loss_rpn_loc: 0.0006619 loss_D_img_s: 3.934e-06 time: 0.8102 last_time: 0.8707 data_time: 0.0190 last_data_time: 0.0302 lr: 0.02 max_mem: 10548M +[04/09 23:41:57] d2.utils.events INFO: eta: 8:03:34 iter: 14139 total_loss: 0.02426 loss_cls: 0.005832 loss_box_reg: 0.01604 loss_rpn_cls: 0.0009436 loss_rpn_loc: 0.0009413 loss_D_img_s: 3.589e-06 time: 0.8103 last_time: 0.9011 data_time: 0.0216 last_data_time: 0.0394 lr: 0.02 max_mem: 10548M +[04/09 23:42:14] d2.utils.events INFO: eta: 8:03:31 iter: 14159 total_loss: 0.02651 loss_cls: 0.006191 loss_box_reg: 0.01807 loss_rpn_cls: 0.001538 loss_rpn_loc: 0.0008139 loss_D_img_s: 3.755e-06 time: 0.8103 last_time: 0.7450 data_time: 0.0162 last_data_time: 0.0168 lr: 0.02 max_mem: 10548M +[04/09 23:42:30] d2.utils.events INFO: eta: 8:02:36 iter: 14179 total_loss: 0.02626 loss_cls: 0.005728 loss_box_reg: 0.01667 loss_rpn_cls: 0.001041 loss_rpn_loc: 0.0009085 loss_D_img_s: 3.937e-06 time: 0.8103 last_time: 0.7750 data_time: 0.0213 last_data_time: 0.0224 lr: 0.02 max_mem: 10548M +[04/09 23:42:47] d2.utils.events INFO: eta: 8:02:07 iter: 14199 total_loss: 0.02482 loss_cls: 0.005246 loss_box_reg: 0.01585 loss_rpn_cls: 0.0008087 loss_rpn_loc: 0.0008046 loss_D_img_s: 4.151e-06 time: 0.8103 last_time: 0.7852 data_time: 0.0205 last_data_time: 0.0198 lr: 0.02 max_mem: 10548M +[04/09 23:43:03] d2.utils.events INFO: eta: 8:00:51 iter: 14219 total_loss: 0.02449 loss_cls: 0.005748 loss_box_reg: 0.01507 loss_rpn_cls: 0.0009117 loss_rpn_loc: 0.001083 loss_D_img_s: 3.964e-06 time: 0.8103 last_time: 0.7856 data_time: 0.0277 last_data_time: 0.0150 lr: 0.02 max_mem: 10548M +[04/09 23:43:20] d2.utils.events INFO: eta: 8:01:11 iter: 14239 total_loss: 0.02402 loss_cls: 0.00537 loss_box_reg: 0.01597 loss_rpn_cls: 0.001094 loss_rpn_loc: 0.0008705 loss_D_img_s: 4.069e-06 time: 0.8104 last_time: 0.7964 data_time: 0.0216 last_data_time: 0.0138 lr: 0.02 max_mem: 10548M +[04/09 23:43:36] d2.utils.events INFO: eta: 8:00:55 iter: 14259 total_loss: 0.02455 loss_cls: 0.005499 loss_box_reg: 0.01413 loss_rpn_cls: 0.001411 loss_rpn_loc: 0.0008172 loss_D_img_s: 3.935e-06 time: 0.8104 last_time: 0.8918 data_time: 0.0187 last_data_time: 0.0392 lr: 0.02 max_mem: 10548M +[04/09 23:43:53] d2.utils.events INFO: eta: 8:01:08 iter: 14279 total_loss: 0.02393 loss_cls: 0.005635 loss_box_reg: 0.01593 loss_rpn_cls: 0.0008073 loss_rpn_loc: 0.0006108 loss_D_img_s: 4.069e-06 time: 0.8104 last_time: 0.8351 data_time: 0.0224 last_data_time: 0.0169 lr: 0.02 max_mem: 10548M +[04/09 23:44:09] d2.utils.events INFO: eta: 8:00:45 iter: 14299 total_loss: 0.02122 loss_cls: 0.004691 loss_box_reg: 0.01619 loss_rpn_cls: 0.0006391 loss_rpn_loc: 0.0009733 loss_D_img_s: 3.884e-06 time: 0.8104 last_time: 0.7560 data_time: 0.0194 last_data_time: 0.0202 lr: 0.02 max_mem: 10548M +[04/09 23:44:25] d2.utils.events INFO: eta: 8:00:42 iter: 14319 total_loss: 0.02072 loss_cls: 0.005137 loss_box_reg: 0.01405 loss_rpn_cls: 0.0007507 loss_rpn_loc: 0.0009677 loss_D_img_s: 4.241e-06 time: 0.8104 last_time: 0.7795 data_time: 0.0208 last_data_time: 0.0209 lr: 0.02 max_mem: 10548M +[04/09 23:44:42] d2.utils.events INFO: eta: 8:00:20 iter: 14339 total_loss: 0.01916 loss_cls: 0.003986 loss_box_reg: 0.01422 loss_rpn_cls: 0.0006108 loss_rpn_loc: 0.000759 loss_D_img_s: 4.221e-06 time: 0.8104 last_time: 0.8562 data_time: 0.0259 last_data_time: 0.0920 lr: 0.02 max_mem: 10548M +[04/09 23:44:59] d2.utils.events INFO: eta: 8:00:44 iter: 14359 total_loss: 0.02116 loss_cls: 0.004541 loss_box_reg: 0.01422 loss_rpn_cls: 0.0007957 loss_rpn_loc: 0.0007211 loss_D_img_s: 3.916e-06 time: 0.8105 last_time: 0.7827 data_time: 0.0267 last_data_time: 0.0528 lr: 0.02 max_mem: 10548M +[04/09 23:45:15] d2.utils.events INFO: eta: 7:59:33 iter: 14379 total_loss: 0.02136 loss_cls: 0.005653 loss_box_reg: 0.0153 loss_rpn_cls: 0.0007109 loss_rpn_loc: 0.0007256 loss_D_img_s: 4.04e-06 time: 0.8105 last_time: 0.8020 data_time: 0.0262 last_data_time: 0.0277 lr: 0.02 max_mem: 10548M +[04/09 23:45:32] d2.utils.events INFO: eta: 8:00:26 iter: 14399 total_loss: 0.02293 loss_cls: 0.005606 loss_box_reg: 0.01512 loss_rpn_cls: 0.0007978 loss_rpn_loc: 0.0006186 loss_D_img_s: 3.847e-06 time: 0.8105 last_time: 0.8371 data_time: 0.0204 last_data_time: 0.0178 lr: 0.02 max_mem: 10548M +[04/09 23:45:48] d2.utils.events INFO: eta: 8:00:39 iter: 14419 total_loss: 0.02322 loss_cls: 0.004109 loss_box_reg: 0.0157 loss_rpn_cls: 0.001136 loss_rpn_loc: 0.0009343 loss_D_img_s: 3.765e-06 time: 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d2.utils.events INFO: eta: 7:59:15 iter: 14499 total_loss: 0.02183 loss_cls: 0.004808 loss_box_reg: 0.01415 loss_rpn_cls: 0.0009471 loss_rpn_loc: 0.000886 loss_D_img_s: 4.053e-06 time: 0.8106 last_time: 0.7326 data_time: 0.0235 last_data_time: 0.0156 lr: 0.02 max_mem: 10548M +[04/09 23:47:11] d2.utils.events INFO: eta: 7:58:59 iter: 14519 total_loss: 0.02422 loss_cls: 0.005722 loss_box_reg: 0.01682 loss_rpn_cls: 0.0009047 loss_rpn_loc: 0.0008896 loss_D_img_s: 4.25e-06 time: 0.8106 last_time: 0.8260 data_time: 0.0215 last_data_time: 0.0161 lr: 0.02 max_mem: 10548M +[04/09 23:47:27] d2.utils.events INFO: eta: 7:59:02 iter: 14539 total_loss: 0.02621 loss_cls: 0.006063 loss_box_reg: 0.0187 loss_rpn_cls: 0.0007389 loss_rpn_loc: 0.000917 loss_D_img_s: 4.126e-06 time: 0.8106 last_time: 0.7638 data_time: 0.0214 last_data_time: 0.0167 lr: 0.02 max_mem: 10548M +[04/09 23:47:44] d2.utils.events INFO: eta: 7:58:40 iter: 14559 total_loss: 0.02817 loss_cls: 0.007184 loss_box_reg: 0.01599 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last_data_time: 0.0181 lr: 0.02 max_mem: 10548M +[04/09 23:48:50] d2.utils.events INFO: eta: 7:56:49 iter: 14639 total_loss: 0.0227 loss_cls: 0.004525 loss_box_reg: 0.01594 loss_rpn_cls: 0.0006822 loss_rpn_loc: 0.0007768 loss_D_img_s: 3.881e-06 time: 0.8107 last_time: 0.7610 data_time: 0.0206 last_data_time: 0.0152 lr: 0.02 max_mem: 10548M +[04/09 23:49:06] d2.utils.events INFO: eta: 7:57:18 iter: 14659 total_loss: 0.02174 loss_cls: 0.004967 loss_box_reg: 0.01494 loss_rpn_cls: 0.0009033 loss_rpn_loc: 0.000775 loss_D_img_s: 3.984e-06 time: 0.8108 last_time: 0.8051 data_time: 0.0246 last_data_time: 0.0189 lr: 0.02 max_mem: 10548M +[04/09 23:49:23] d2.utils.events INFO: eta: 7:57:02 iter: 14679 total_loss: 0.02235 loss_cls: 0.005443 loss_box_reg: 0.01598 loss_rpn_cls: 0.0006437 loss_rpn_loc: 0.0009155 loss_D_img_s: 3.881e-06 time: 0.8108 last_time: 0.7983 data_time: 0.0300 last_data_time: 0.0214 lr: 0.02 max_mem: 10548M +[04/09 23:49:39] d2.utils.events INFO: eta: 7:57:22 iter: 14699 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0.8033 data_time: 0.0176 last_data_time: 0.0154 lr: 0.02 max_mem: 10548M +[04/09 23:53:27] d2.utils.events INFO: eta: 7:49:39 iter: 14979 total_loss: 0.02589 loss_cls: 0.006238 loss_box_reg: 0.01667 loss_rpn_cls: 0.001262 loss_rpn_loc: 0.0007759 loss_D_img_s: 3.799e-06 time: 0.8108 last_time: 0.9230 data_time: 0.0266 last_data_time: 0.0191 lr: 0.02 max_mem: 10548M +[04/09 23:53:43] fvcore.common.checkpoint INFO: Saving checkpoint to /DATA/Rajes/Research/output_cat/bmp_rti/model_0014999.pth +[04/09 23:53:44] d2.data.common INFO: Serializing the dataset using: +[04/09 23:53:44] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 23:53:44] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 23:53:44] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 23:53:44] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 23:53:45] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0054 s/iter. Inference: 0.0576 s/iter. Eval: 0.0001 s/iter. Total: 0.0632 s/iter. ETA=0:00:25 +[04/09 23:53:50] d2.evaluation.evaluator INFO: Inference done 82/410. Dataloading: 0.0108 s/iter. Inference: 0.0591 s/iter. Eval: 0.0002 s/iter. Total: 0.0702 s/iter. ETA=0:00:23 +[04/09 23:53:55] d2.evaluation.evaluator INFO: Inference done 159/410. Dataloading: 0.0090 s/iter. Inference: 0.0586 s/iter. Eval: 0.0002 s/iter. Total: 0.0678 s/iter. ETA=0:00:17 +[04/09 23:54:00] d2.evaluation.evaluator INFO: Inference done 228/410. Dataloading: 0.0096 s/iter. Inference: 0.0596 s/iter. Eval: 0.0002 s/iter. Total: 0.0695 s/iter. ETA=0:00:12 +[04/09 23:54:06] d2.evaluation.evaluator INFO: Inference done 298/410. Dataloading: 0.0115 s/iter. Inference: 0.0584 s/iter. Eval: 0.0002 s/iter. Total: 0.0702 s/iter. ETA=0:00:07 +[04/09 23:54:11] d2.evaluation.evaluator INFO: Inference done 367/410. Dataloading: 0.0118 s/iter. Inference: 0.0586 s/iter. Eval: 0.0002 s/iter. Total: 0.0707 s/iter. ETA=0:00:03 +[04/09 23:54:13] d2.evaluation.evaluator INFO: Total inference time: 0:00:28.505117 (0.070383 s / iter per device, on 1 devices) +[04/09 23:54:13] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057778 s / iter per device, on 1 devices) +[04/09 23:54:14] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 23:54:14] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 23:54:14] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 23:54:14] d2.evaluation.testing INFO: copypaste: 0.8847,4.0583,0.0000 +[04/09 23:54:14] d2.data.common INFO: Serializing the dataset using: +[04/09 23:54:14] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/09 23:54:14] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/09 23:54:14] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/09 23:54:14] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/09 23:54:16] d2.evaluation.evaluator INFO: Inference done 23/410. 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Total: 0.0697 s/iter. ETA=0:00:01 +[04/09 23:54:43] d2.evaluation.evaluator INFO: Total inference time: 0:00:28.251395 (0.069757 s / iter per device, on 1 devices) +[04/09 23:54:43] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.059055 s / iter per device, on 1 devices) +[04/09 23:54:43] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/09 23:54:43] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/09 23:54:43] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/09 23:54:43] d2.evaluation.testing INFO: copypaste: 0.4387,2.3912,0.0000 +[04/09 23:54:43] d2.utils.events INFO: eta: 7:49:23 iter: 14999 total_loss: 0.02574 loss_cls: 0.005696 loss_box_reg: 0.01675 loss_rpn_cls: 0.0008908 loss_rpn_loc: 0.001004 loss_D_img_s: 4.22e-06 time: 0.8108 last_time: 0.7654 data_time: 0.0201 last_data_time: 0.0160 lr: 0.02 max_mem: 10548M +[04/09 23:54:58] d2.utils.events INFO: eta: 7:49:02 iter: 15019 total_loss: 0.02772 loss_cls: 0.00658 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d2.utils.events INFO: eta: 7:41:57 iter: 15499 total_loss: 0.02126 loss_cls: 0.004679 loss_box_reg: 0.01399 loss_rpn_cls: 0.001056 loss_rpn_loc: 0.0009361 loss_D_img_s: 4.549e-06 time: 0.8110 last_time: 0.8066 data_time: 0.0241 last_data_time: 0.0148 lr: 0.02 max_mem: 10548M +[04/10 00:01:48] d2.utils.events INFO: eta: 7:42:13 iter: 15519 total_loss: 0.02243 loss_cls: 0.005691 loss_box_reg: 0.0149 loss_rpn_cls: 0.0009726 loss_rpn_loc: 0.0006663 loss_D_img_s: 4.285e-06 time: 0.8110 last_time: 0.7817 data_time: 0.0271 last_data_time: 0.0238 lr: 0.02 max_mem: 10548M +[04/10 00:02:05] d2.utils.events INFO: eta: 7:41:15 iter: 15539 total_loss: 0.02723 loss_cls: 0.005904 loss_box_reg: 0.01738 loss_rpn_cls: 0.001324 loss_rpn_loc: 0.0009219 loss_D_img_s: 4.189e-06 time: 0.8111 last_time: 0.8219 data_time: 0.0235 last_data_time: 0.0169 lr: 0.02 max_mem: 10548M +[04/10 00:02:22] d2.utils.events INFO: eta: 7:40:44 iter: 15559 total_loss: 0.0225 loss_cls: 0.004721 loss_box_reg: 0.0147 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loss_D_img_s: 3.66e-06 time: 0.8132 last_time: 1.0651 data_time: 0.0222 last_data_time: 0.0814 lr: 0.02 max_mem: 10548M +[04/10 00:05:59] d2.utils.events INFO: eta: 7:42:20 iter: 15779 total_loss: 0.02355 loss_cls: 0.005364 loss_box_reg: 0.01709 loss_rpn_cls: 0.000933 loss_rpn_loc: 0.00071 loss_D_img_s: 3.904e-06 time: 0.8136 last_time: 1.1869 data_time: 0.0212 last_data_time: 0.0313 lr: 0.02 max_mem: 10548M +[04/10 00:06:22] d2.utils.events INFO: eta: 7:43:17 iter: 15799 total_loss: 0.02409 loss_cls: 0.005434 loss_box_reg: 0.01564 loss_rpn_cls: 0.001012 loss_rpn_loc: 0.0006872 loss_D_img_s: 3.999e-06 time: 0.8140 last_time: 1.2289 data_time: 0.0197 last_data_time: 0.0152 lr: 0.02 max_mem: 10548M +[04/10 00:06:44] d2.utils.events INFO: eta: 7:44:09 iter: 15819 total_loss: 0.0239 loss_cls: 0.005268 loss_box_reg: 0.01563 loss_rpn_cls: 0.0008243 loss_rpn_loc: 0.000724 loss_D_img_s: 3.72e-06 time: 0.8144 last_time: 1.1344 data_time: 0.0194 last_data_time: 0.0160 lr: 0.02 max_mem: 10548M +[04/10 00:07:07] d2.utils.events INFO: eta: 7:44:34 iter: 15839 total_loss: 0.01964 loss_cls: 0.004842 loss_box_reg: 0.01349 loss_rpn_cls: 0.001007 loss_rpn_loc: 0.0007549 loss_D_img_s: 3.649e-06 time: 0.8148 last_time: 1.2112 data_time: 0.0216 last_data_time: 0.0496 lr: 0.02 max_mem: 10548M +[04/10 00:07:29] d2.utils.events INFO: eta: 7:45:57 iter: 15859 total_loss: 0.02036 loss_cls: 0.005086 loss_box_reg: 0.01412 loss_rpn_cls: 0.0009391 loss_rpn_loc: 0.0007479 loss_D_img_s: 3.81e-06 time: 0.8151 last_time: 1.0290 data_time: 0.0216 last_data_time: 0.0124 lr: 0.02 max_mem: 10548M +[04/10 00:07:52] d2.utils.events INFO: eta: 7:46:56 iter: 15879 total_loss: 0.02184 loss_cls: 0.005133 loss_box_reg: 0.01545 loss_rpn_cls: 0.0006026 loss_rpn_loc: 0.0007442 loss_D_img_s: 3.524e-06 time: 0.8155 last_time: 1.1258 data_time: 0.0225 last_data_time: 0.0222 lr: 0.02 max_mem: 10548M +[04/10 00:08:14] d2.utils.events INFO: eta: 7:48:29 iter: 15899 total_loss: 0.02146 loss_cls: 0.004593 loss_box_reg: 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data_time: 0.0242 last_data_time: 0.0146 lr: 0.02 max_mem: 10548M +[04/10 00:09:44] d2.utils.events INFO: eta: 7:54:29 iter: 15979 total_loss: 0.02031 loss_cls: 0.004747 loss_box_reg: 0.01444 loss_rpn_cls: 0.0008208 loss_rpn_loc: 0.0008019 loss_D_img_s: 3.63e-06 time: 0.8175 last_time: 1.0196 data_time: 0.0227 last_data_time: 0.0376 lr: 0.02 max_mem: 10548M +[04/10 00:10:06] d2.data.common INFO: Serializing the dataset using: +[04/10 00:10:06] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 00:10:06] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 00:10:06] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 00:10:06] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 00:10:08] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0024 s/iter. Inference: 0.0959 s/iter. Eval: 0.0022 s/iter. Total: 0.1005 s/iter. ETA=0:00:40 +[04/10 00:10:13] d2.evaluation.evaluator INFO: Inference done 62/410. Dataloading: 0.0048 s/iter. Inference: 0.0931 s/iter. Eval: 0.0004 s/iter. Total: 0.0983 s/iter. ETA=0:00:34 +[04/10 00:10:18] d2.evaluation.evaluator INFO: Inference done 108/410. Dataloading: 0.0050 s/iter. Inference: 0.0981 s/iter. Eval: 0.0003 s/iter. Total: 0.1036 s/iter. ETA=0:00:31 +[04/10 00:10:23] d2.evaluation.evaluator INFO: Inference done 159/410. Dataloading: 0.0050 s/iter. Inference: 0.0968 s/iter. Eval: 0.0004 s/iter. Total: 0.1023 s/iter. ETA=0:00:25 +[04/10 00:10:28] d2.evaluation.evaluator INFO: Inference done 209/410. Dataloading: 0.0045 s/iter. Inference: 0.0972 s/iter. Eval: 0.0004 s/iter. Total: 0.1021 s/iter. ETA=0:00:20 +[04/10 00:10:33] d2.evaluation.evaluator INFO: Inference done 258/410. Dataloading: 0.0044 s/iter. Inference: 0.0973 s/iter. Eval: 0.0003 s/iter. 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ETA=0:00:00 +[04/10 00:10:49] d2.evaluation.evaluator INFO: Total inference time: 0:00:41.518407 (0.102515 s / iter per device, on 1 devices) +[04/10 00:10:49] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:39 (0.097796 s / iter per device, on 1 devices) +[04/10 00:10:49] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 00:10:49] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 00:10:49] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 00:10:49] d2.evaluation.testing INFO: copypaste: 0.8030,3.3052,0.0000 +[04/10 00:10:49] d2.data.common INFO: Serializing the dataset using: +[04/10 00:10:49] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 00:10:49] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 00:10:49] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 00:10:49] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 00:10:54] d2.evaluation.evaluator INFO: Inference done 38/410. Dataloading: 0.0055 s/iter. Inference: 0.1007 s/iter. Eval: 0.0002 s/iter. Total: 0.1064 s/iter. ETA=0:00:39 +[04/10 00:10:59] d2.evaluation.evaluator INFO: Inference done 89/410. Dataloading: 0.0043 s/iter. Inference: 0.0970 s/iter. Eval: 0.0002 s/iter. Total: 0.1016 s/iter. ETA=0:00:32 +[04/10 00:11:04] d2.evaluation.evaluator INFO: Inference done 142/410. Dataloading: 0.0037 s/iter. Inference: 0.0949 s/iter. Eval: 0.0002 s/iter. Total: 0.0989 s/iter. ETA=0:00:26 +[04/10 00:11:09] d2.evaluation.evaluator INFO: Inference done 191/410. Dataloading: 0.0042 s/iter. Inference: 0.0952 s/iter. Eval: 0.0002 s/iter. Total: 0.0997 s/iter. ETA=0:00:21 +[04/10 00:11:14] d2.evaluation.evaluator INFO: Inference done 242/410. Dataloading: 0.0043 s/iter. Inference: 0.0952 s/iter. Eval: 0.0003 s/iter. Total: 0.0998 s/iter. ETA=0:00:16 +[04/10 00:11:19] d2.evaluation.evaluator INFO: Inference done 296/410. Dataloading: 0.0039 s/iter. Inference: 0.0945 s/iter. Eval: 0.0003 s/iter. Total: 0.0987 s/iter. ETA=0:00:11 +[04/10 00:11:24] d2.evaluation.evaluator INFO: Inference done 346/410. Dataloading: 0.0040 s/iter. Inference: 0.0946 s/iter. Eval: 0.0003 s/iter. Total: 0.0990 s/iter. ETA=0:00:06 +[04/10 00:11:29] d2.evaluation.evaluator INFO: Inference done 393/410. Dataloading: 0.0040 s/iter. Inference: 0.0959 s/iter. Eval: 0.0003 s/iter. Total: 0.1002 s/iter. ETA=0:00:01 +[04/10 00:11:31] d2.evaluation.evaluator INFO: Total inference time: 0:00:40.530378 (0.100075 s / iter per device, on 1 devices) +[04/10 00:11:31] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:38 (0.095361 s / iter per device, on 1 devices) +[04/10 00:11:31] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 00:11:31] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 00:11:31] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 00:11:31] d2.evaluation.testing INFO: copypaste: 0.4372,2.1040,0.0000 +[04/10 00:11:31] d2.utils.events INFO: eta: 7:55:26 iter: 15999 total_loss: 0.021 loss_cls: 0.005407 loss_box_reg: 0.01521 loss_rpn_cls: 0.0006668 loss_rpn_loc: 0.0009116 loss_D_img_s: 3.88e-06 time: 0.8178 last_time: 1.1753 data_time: 0.0243 last_data_time: 0.0232 lr: 0.02 max_mem: 10548M +[04/10 00:11:53] d2.utils.events INFO: eta: 7:57:32 iter: 16019 total_loss: 0.02241 loss_cls: 0.004034 loss_box_reg: 0.01475 loss_rpn_cls: 0.0005355 loss_rpn_loc: 0.0007599 loss_D_img_s: 3.636e-06 time: 0.8182 last_time: 1.3141 data_time: 0.0263 last_data_time: 0.0399 lr: 0.02 max_mem: 10548M +[04/10 00:12:16] d2.utils.events INFO: eta: 8:00:30 iter: 16039 total_loss: 0.02456 loss_cls: 0.005605 loss_box_reg: 0.01755 loss_rpn_cls: 0.001171 loss_rpn_loc: 0.0009609 loss_D_img_s: 3.735e-06 time: 0.8186 last_time: 1.0087 data_time: 0.0266 last_data_time: 0.0146 lr: 0.02 max_mem: 10548M +[04/10 00:12:38] d2.utils.events INFO: eta: 8:04:10 iter: 16059 total_loss: 0.01743 loss_cls: 0.004383 loss_box_reg: 0.01286 loss_rpn_cls: 0.0005917 loss_rpn_loc: 0.0005953 loss_D_img_s: 3.975e-06 time: 0.8190 last_time: 1.2102 data_time: 0.0282 last_data_time: 0.0310 lr: 0.02 max_mem: 10548M +[04/10 00:13:01] d2.utils.events INFO: eta: 8:05:41 iter: 16079 total_loss: 0.0173 loss_cls: 0.003503 loss_box_reg: 0.0124 loss_rpn_cls: 0.0008217 loss_rpn_loc: 0.0007459 loss_D_img_s: 3.854e-06 time: 0.8194 last_time: 1.1460 data_time: 0.0241 last_data_time: 0.0300 lr: 0.02 max_mem: 10548M +[04/10 00:13:20] d2.utils.events INFO: eta: 8:08:28 iter: 16099 total_loss: 0.0237 loss_cls: 0.005922 loss_box_reg: 0.01598 loss_rpn_cls: 0.0009246 loss_rpn_loc: 0.0008686 loss_D_img_s: 3.929e-06 time: 0.8196 last_time: 0.7999 data_time: 0.0241 last_data_time: 0.0286 lr: 0.02 max_mem: 10548M +[04/10 00:13:38] d2.utils.events INFO: eta: 8:11:29 iter: 16119 total_loss: 0.02292 loss_cls: 0.00424 loss_box_reg: 0.01589 loss_rpn_cls: 0.0006758 loss_rpn_loc: 0.0007513 loss_D_img_s: 3.879e-06 time: 0.8197 last_time: 0.8869 data_time: 0.0292 last_data_time: 0.0172 lr: 0.02 max_mem: 10548M +[04/10 00:13:57] d2.utils.events INFO: eta: 8:17:03 iter: 16139 total_loss: 0.02197 loss_cls: 0.005834 loss_box_reg: 0.01483 loss_rpn_cls: 0.000715 loss_rpn_loc: 0.0007778 loss_D_img_s: 3.894e-06 time: 0.8198 last_time: 1.0008 data_time: 0.0359 last_data_time: 0.0450 lr: 0.02 max_mem: 10548M +[04/10 00:14:18] d2.utils.events INFO: eta: 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max_mem: 10548M +[04/10 00:16:34] d2.utils.events INFO: eta: 9:13:41 iter: 16299 total_loss: 0.02243 loss_cls: 0.005487 loss_box_reg: 0.01509 loss_rpn_cls: 0.0008649 loss_rpn_loc: 0.0007578 loss_D_img_s: 3.714e-06 time: 0.8214 last_time: 1.0209 data_time: 0.0292 last_data_time: 0.0316 lr: 0.02 max_mem: 10548M +[04/10 00:16:55] d2.utils.events INFO: eta: 9:16:58 iter: 16319 total_loss: 0.02748 loss_cls: 0.005903 loss_box_reg: 0.0184 loss_rpn_cls: 0.0008599 loss_rpn_loc: 0.0008291 loss_D_img_s: 3.828e-06 time: 0.8217 last_time: 0.7730 data_time: 0.0246 last_data_time: 0.0149 lr: 0.02 max_mem: 10548M +[04/10 00:17:14] d2.utils.events INFO: eta: 9:18:46 iter: 16339 total_loss: 0.02124 loss_cls: 0.004169 loss_box_reg: 0.01525 loss_rpn_cls: 0.0009088 loss_rpn_loc: 0.0007031 loss_D_img_s: 3.825e-06 time: 0.8218 last_time: 0.8314 data_time: 0.0231 last_data_time: 0.0141 lr: 0.02 max_mem: 10548M +[04/10 00:17:34] d2.utils.events INFO: eta: 9:22:41 iter: 16359 total_loss: 0.02014 loss_cls: 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last_time: 0.9247 data_time: 0.0263 last_data_time: 0.0151 lr: 0.02 max_mem: 10548M +[04/10 00:18:51] d2.utils.events INFO: eta: 9:25:21 iter: 16439 total_loss: 0.02246 loss_cls: 0.005013 loss_box_reg: 0.01529 loss_rpn_cls: 0.001038 loss_rpn_loc: 0.0008827 loss_D_img_s: 3.888e-06 time: 0.8227 last_time: 0.9809 data_time: 0.0207 last_data_time: 0.0348 lr: 0.02 max_mem: 10548M +[04/10 00:19:10] d2.utils.events INFO: eta: 9:26:51 iter: 16459 total_loss: 0.02697 loss_cls: 0.005726 loss_box_reg: 0.01573 loss_rpn_cls: 0.001356 loss_rpn_loc: 0.0009692 loss_D_img_s: 3.964e-06 time: 0.8229 last_time: 0.9580 data_time: 0.0262 last_data_time: 0.0534 lr: 0.02 max_mem: 10548M +[04/10 00:19:29] d2.utils.events INFO: eta: 9:29:22 iter: 16479 total_loss: 0.02208 loss_cls: 0.005062 loss_box_reg: 0.01457 loss_rpn_cls: 0.0008086 loss_rpn_loc: 0.0006485 loss_D_img_s: 3.821e-06 time: 0.8231 last_time: 0.7806 data_time: 0.0293 last_data_time: 0.0134 lr: 0.02 max_mem: 10548M +[04/10 00:19:49] d2.utils.events INFO: eta: 9:29:34 iter: 16499 total_loss: 0.0227 loss_cls: 0.004837 loss_box_reg: 0.01346 loss_rpn_cls: 0.0007779 loss_rpn_loc: 0.0007473 loss_D_img_s: 3.784e-06 time: 0.8232 last_time: 1.0136 data_time: 0.0295 last_data_time: 0.0315 lr: 0.02 max_mem: 10548M +[04/10 00:20:09] d2.utils.events INFO: eta: 9:31:23 iter: 16519 total_loss: 0.02187 loss_cls: 0.004601 loss_box_reg: 0.01458 loss_rpn_cls: 0.0007439 loss_rpn_loc: 0.000976 loss_D_img_s: 3.805e-06 time: 0.8234 last_time: 1.0240 data_time: 0.0273 last_data_time: 0.0497 lr: 0.02 max_mem: 10548M +[04/10 00:20:28] d2.utils.events INFO: eta: 9:31:44 iter: 16539 total_loss: 0.02187 loss_cls: 0.004074 loss_box_reg: 0.01367 loss_rpn_cls: 0.0006268 loss_rpn_loc: 0.0008345 loss_D_img_s: 3.788e-06 time: 0.8236 last_time: 1.0853 data_time: 0.0307 last_data_time: 0.0354 lr: 0.02 max_mem: 10548M +[04/10 00:20:48] d2.utils.events INFO: eta: 9:31:51 iter: 16559 total_loss: 0.02683 loss_cls: 0.005813 loss_box_reg: 0.01625 loss_rpn_cls: 0.001011 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lr: 0.02 max_mem: 10548M +[04/10 00:22:08] d2.utils.events INFO: eta: 9:34:59 iter: 16639 total_loss: 0.01779 loss_cls: 0.003202 loss_box_reg: 0.01319 loss_rpn_cls: 0.00059 loss_rpn_loc: 0.0007092 loss_D_img_s: 3.77e-06 time: 0.8247 last_time: 1.0138 data_time: 0.0291 last_data_time: 0.0515 lr: 0.02 max_mem: 10548M +[04/10 00:22:28] d2.utils.events INFO: eta: 9:36:24 iter: 16659 total_loss: 0.02225 loss_cls: 0.005286 loss_box_reg: 0.01471 loss_rpn_cls: 0.0004896 loss_rpn_loc: 0.0007561 loss_D_img_s: 3.868e-06 time: 0.8249 last_time: 1.0077 data_time: 0.0282 last_data_time: 0.0273 lr: 0.02 max_mem: 10548M +[04/10 00:22:49] d2.utils.events INFO: eta: 9:35:21 iter: 16679 total_loss: 0.02293 loss_cls: 0.005923 loss_box_reg: 0.0155 loss_rpn_cls: 0.0009941 loss_rpn_loc: 0.0007816 loss_D_img_s: 3.791e-06 time: 0.8251 last_time: 0.9615 data_time: 0.0305 last_data_time: 0.0406 lr: 0.02 max_mem: 10548M +[04/10 00:23:09] d2.utils.events INFO: eta: 9:31:19 iter: 16699 total_loss: 0.02606 loss_cls: 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d2.utils.events INFO: eta: 9:20:45 iter: 16839 total_loss: 0.01989 loss_cls: 0.00439 loss_box_reg: 0.01431 loss_rpn_cls: 0.0006304 loss_rpn_loc: 0.0005809 loss_D_img_s: 3.799e-06 time: 0.8269 last_time: 1.2822 data_time: 0.0354 last_data_time: 0.0544 lr: 0.02 max_mem: 10548M +[04/10 00:25:51] d2.utils.events INFO: eta: 9:18:11 iter: 16859 total_loss: 0.02398 loss_cls: 0.006561 loss_box_reg: 0.01467 loss_rpn_cls: 0.001358 loss_rpn_loc: 0.0006923 loss_D_img_s: 3.884e-06 time: 0.8271 last_time: 0.9499 data_time: 0.0259 last_data_time: 0.0590 lr: 0.02 max_mem: 10548M +[04/10 00:26:11] d2.utils.events INFO: eta: 9:15:55 iter: 16879 total_loss: 0.02114 loss_cls: 0.004699 loss_box_reg: 0.01446 loss_rpn_cls: 0.0007378 loss_rpn_loc: 0.0007601 loss_D_img_s: 3.63e-06 time: 0.8273 last_time: 1.1327 data_time: 0.0228 last_data_time: 0.0169 lr: 0.02 max_mem: 10548M +[04/10 00:26:31] d2.utils.events INFO: eta: 9:14:36 iter: 16899 total_loss: 0.02204 loss_cls: 0.004145 loss_box_reg: 0.0148 loss_rpn_cls: 0.001099 loss_rpn_loc: 0.0009366 loss_D_img_s: 3.777e-06 time: 0.8276 last_time: 1.0076 data_time: 0.0322 last_data_time: 0.0322 lr: 0.02 max_mem: 10548M +[04/10 00:26:51] d2.utils.events INFO: eta: 9:11:41 iter: 16919 total_loss: 0.01819 loss_cls: 0.004109 loss_box_reg: 0.0132 loss_rpn_cls: 0.0006469 loss_rpn_loc: 0.0006201 loss_D_img_s: 3.986e-06 time: 0.8278 last_time: 0.9262 data_time: 0.0227 last_data_time: 0.0152 lr: 0.02 max_mem: 10548M +[04/10 00:27:11] d2.utils.events INFO: eta: 9:09:37 iter: 16939 total_loss: 0.02276 loss_cls: 0.004349 loss_box_reg: 0.01495 loss_rpn_cls: 0.0006245 loss_rpn_loc: 0.0007995 loss_D_img_s: 4.041e-06 time: 0.8279 last_time: 0.9788 data_time: 0.0299 last_data_time: 0.0466 lr: 0.02 max_mem: 10548M +[04/10 00:27:32] d2.utils.events INFO: eta: 9:08:35 iter: 16959 total_loss: 0.01914 loss_cls: 0.003825 loss_box_reg: 0.01233 loss_rpn_cls: 0.0005459 loss_rpn_loc: 0.000842 loss_D_img_s: 4.07e-06 time: 0.8282 last_time: 0.9944 data_time: 0.0324 last_data_time: 0.0154 lr: 0.02 max_mem: 10548M +[04/10 00:27:52] d2.utils.events INFO: eta: 9:06:46 iter: 16979 total_loss: 0.02303 loss_cls: 0.004825 loss_box_reg: 0.01512 loss_rpn_cls: 0.0009129 loss_rpn_loc: 0.000925 loss_D_img_s: 4.052e-06 time: 0.8284 last_time: 1.1706 data_time: 0.0221 last_data_time: 0.0145 lr: 0.02 max_mem: 10548M +[04/10 00:28:12] d2.data.common INFO: Serializing the dataset using: +[04/10 00:28:12] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 00:28:12] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 00:28:12] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 00:28:12] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 00:28:14] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0238 s/iter. Inference: 0.0825 s/iter. Eval: 0.0001 s/iter. Total: 0.1064 s/iter. ETA=0:00:42 +[04/10 00:28:19] d2.evaluation.evaluator INFO: Inference done 69/410. Dataloading: 0.0116 s/iter. Inference: 0.0767 s/iter. Eval: 0.0002 s/iter. Total: 0.0885 s/iter. ETA=0:00:30 +[04/10 00:28:24] d2.evaluation.evaluator INFO: Inference done 130/410. Dataloading: 0.0109 s/iter. Inference: 0.0744 s/iter. Eval: 0.0002 s/iter. Total: 0.0856 s/iter. ETA=0:00:23 +[04/10 00:28:29] d2.evaluation.evaluator INFO: Inference done 185/410. Dataloading: 0.0088 s/iter. Inference: 0.0783 s/iter. Eval: 0.0002 s/iter. Total: 0.0874 s/iter. ETA=0:00:19 +[04/10 00:28:34] d2.evaluation.evaluator INFO: Inference done 243/410. Dataloading: 0.0085 s/iter. Inference: 0.0784 s/iter. Eval: 0.0002 s/iter. Total: 0.0871 s/iter. ETA=0:00:14 +[04/10 00:28:39] d2.evaluation.evaluator INFO: Inference done 306/410. Dataloading: 0.0091 s/iter. Inference: 0.0764 s/iter. Eval: 0.0002 s/iter. Total: 0.0858 s/iter. ETA=0:00:08 +[04/10 00:28:44] d2.evaluation.evaluator INFO: Inference done 359/410. Dataloading: 0.0092 s/iter. Inference: 0.0778 s/iter. Eval: 0.0002 s/iter. Total: 0.0874 s/iter. ETA=0:00:04 +[04/10 00:28:48] d2.evaluation.evaluator INFO: Total inference time: 0:00:35.254772 (0.087049 s / iter per device, on 1 devices) +[04/10 00:28:48] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:31 (0.077746 s / iter per device, on 1 devices) +[04/10 00:28:48] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 00:28:48] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 00:28:48] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 00:28:48] d2.evaluation.testing INFO: copypaste: 0.2120,0.9817,0.0000 +[04/10 00:28:48] d2.data.common INFO: Serializing the dataset using: +[04/10 00:28:48] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 00:28:48] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 00:28:48] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 00:28:48] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 00:28:50] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0116 s/iter. Inference: 0.0835 s/iter. Eval: 0.0001 s/iter. Total: 0.0953 s/iter. ETA=0:00:38 +[04/10 00:28:55] d2.evaluation.evaluator INFO: Inference done 69/410. Dataloading: 0.0123 s/iter. Inference: 0.0754 s/iter. Eval: 0.0002 s/iter. Total: 0.0879 s/iter. ETA=0:00:29 +[04/10 00:29:00] d2.evaluation.evaluator INFO: Inference done 131/410. Dataloading: 0.0089 s/iter. Inference: 0.0753 s/iter. Eval: 0.0002 s/iter. Total: 0.0845 s/iter. ETA=0:00:23 +[04/10 00:29:05] d2.evaluation.evaluator INFO: Inference done 195/410. Dataloading: 0.0080 s/iter. Inference: 0.0746 s/iter. Eval: 0.0002 s/iter. Total: 0.0828 s/iter. ETA=0:00:17 +[04/10 00:29:10] d2.evaluation.evaluator INFO: Inference done 247/410. Dataloading: 0.0091 s/iter. Inference: 0.0765 s/iter. Eval: 0.0002 s/iter. Total: 0.0860 s/iter. ETA=0:00:14 +[04/10 00:29:15] d2.evaluation.evaluator INFO: Inference done 306/410. Dataloading: 0.0088 s/iter. Inference: 0.0765 s/iter. Eval: 0.0003 s/iter. Total: 0.0858 s/iter. ETA=0:00:08 +[04/10 00:29:20] d2.evaluation.evaluator INFO: Inference done 363/410. Dataloading: 0.0086 s/iter. Inference: 0.0771 s/iter. Eval: 0.0003 s/iter. Total: 0.0862 s/iter. ETA=0:00:04 +[04/10 00:29:25] d2.evaluation.evaluator INFO: Total inference time: 0:00:35.133619 (0.086750 s / iter per device, on 1 devices) +[04/10 00:29:25] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:31 (0.077255 s / iter per device, on 1 devices) +[04/10 00:29:25] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 00:29:25] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 00:29:25] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 00:29:25] d2.evaluation.testing INFO: copypaste: 0.3966,2.0097,0.0000 +[04/10 00:29:25] d2.utils.events INFO: eta: 9:04:59 iter: 16999 total_loss: 0.0219 loss_cls: 0.003468 loss_box_reg: 0.01414 loss_rpn_cls: 0.000922 loss_rpn_loc: 0.0007212 loss_D_img_s: 3.903e-06 time: 0.8286 last_time: 0.9455 data_time: 0.0278 last_data_time: 0.0385 lr: 0.02 max_mem: 10548M +[04/10 00:29:44] d2.utils.events INFO: eta: 9:02:51 iter: 17019 total_loss: 0.02081 loss_cls: 0.00454 loss_box_reg: 0.01469 loss_rpn_cls: 0.000673 loss_rpn_loc: 0.0007428 loss_D_img_s: 3.509e-06 time: 0.8288 last_time: 1.1567 data_time: 0.0244 last_data_time: 0.0153 lr: 0.02 max_mem: 10548M +[04/10 00:30:04] d2.utils.events INFO: eta: 9:00:20 iter: 17039 total_loss: 0.02176 loss_cls: 0.004395 loss_box_reg: 0.01613 loss_rpn_cls: 0.0006922 loss_rpn_loc: 0.0007152 loss_D_img_s: 3.566e-06 time: 0.8290 last_time: 1.0279 data_time: 0.0273 last_data_time: 0.0172 lr: 0.02 max_mem: 10548M +[04/10 00:30:23] d2.utils.events INFO: eta: 8:59:10 iter: 17059 total_loss: 0.02006 loss_cls: 0.004104 loss_box_reg: 0.01357 loss_rpn_cls: 0.0009152 loss_rpn_loc: 0.0008279 loss_D_img_s: 3.704e-06 time: 0.8291 last_time: 1.0805 data_time: 0.0230 last_data_time: 0.0142 lr: 0.02 max_mem: 10548M +[04/10 00:30:44] d2.utils.events INFO: eta: 8:58:10 iter: 17079 total_loss: 0.02189 loss_cls: 0.00572 loss_box_reg: 0.01361 loss_rpn_cls: 0.0007981 loss_rpn_loc: 0.0006639 loss_D_img_s: 3.864e-06 time: 0.8294 last_time: 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8:56:53 iter: 17159 total_loss: 0.02632 loss_cls: 0.006445 loss_box_reg: 0.01521 loss_rpn_cls: 0.001463 loss_rpn_loc: 0.000903 loss_D_img_s: 3.95e-06 time: 0.8301 last_time: 1.1421 data_time: 0.0259 last_data_time: 0.0134 lr: 0.02 max_mem: 10548M +[04/10 00:32:23] d2.utils.events INFO: eta: 8:56:20 iter: 17179 total_loss: 0.0221 loss_cls: 0.004897 loss_box_reg: 0.01432 loss_rpn_cls: 0.0009207 loss_rpn_loc: 0.0007723 loss_D_img_s: 3.849e-06 time: 0.8303 last_time: 0.9444 data_time: 0.0287 last_data_time: 0.0230 lr: 0.02 max_mem: 10548M +[04/10 00:32:42] d2.utils.events INFO: eta: 8:55:53 iter: 17199 total_loss: 0.02408 loss_cls: 0.005112 loss_box_reg: 0.01728 loss_rpn_cls: 0.0008591 loss_rpn_loc: 0.0007184 loss_D_img_s: 3.778e-06 time: 0.8305 last_time: 1.0787 data_time: 0.0263 last_data_time: 0.0352 lr: 0.02 max_mem: 10548M +[04/10 00:33:03] d2.utils.events INFO: eta: 8:55:49 iter: 17219 total_loss: 0.01903 loss_cls: 0.004349 loss_box_reg: 0.01303 loss_rpn_cls: 0.0005468 loss_rpn_loc: 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max_mem: 10548M +[04/10 00:34:23] d2.utils.events INFO: eta: 8:54:55 iter: 17299 total_loss: 0.01914 loss_cls: 0.004008 loss_box_reg: 0.01337 loss_rpn_cls: 0.0005409 loss_rpn_loc: 0.0006634 loss_D_img_s: 3.996e-06 time: 0.8315 last_time: 1.0296 data_time: 0.0310 last_data_time: 0.0428 lr: 0.02 max_mem: 10548M +[04/10 00:34:43] d2.utils.events INFO: eta: 8:54:11 iter: 17319 total_loss: 0.01945 loss_cls: 0.005149 loss_box_reg: 0.01307 loss_rpn_cls: 0.0008208 loss_rpn_loc: 0.0006971 loss_D_img_s: 3.903e-06 time: 0.8317 last_time: 0.8015 data_time: 0.0349 last_data_time: 0.0141 lr: 0.02 max_mem: 10548M +[04/10 00:35:03] d2.utils.events INFO: eta: 8:53:57 iter: 17339 total_loss: 0.02465 loss_cls: 0.00515 loss_box_reg: 0.01573 loss_rpn_cls: 0.001146 loss_rpn_loc: 0.0007964 loss_D_img_s: 4.017e-06 time: 0.8319 last_time: 1.0189 data_time: 0.0300 last_data_time: 0.0164 lr: 0.02 max_mem: 10548M +[04/10 00:35:22] d2.utils.events INFO: eta: 8:53:18 iter: 17359 total_loss: 0.02258 loss_cls: 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last_time: 0.9428 data_time: 0.0237 last_data_time: 0.0168 lr: 0.02 max_mem: 10548M +[04/10 00:36:42] d2.utils.events INFO: eta: 8:52:29 iter: 17439 total_loss: 0.01999 loss_cls: 0.004363 loss_box_reg: 0.01431 loss_rpn_cls: 0.0006889 loss_rpn_loc: 0.0007853 loss_D_img_s: 3.738e-06 time: 0.8327 last_time: 0.8821 data_time: 0.0202 last_data_time: 0.0168 lr: 0.02 max_mem: 10548M +[04/10 00:37:02] d2.utils.events INFO: eta: 8:52:50 iter: 17459 total_loss: 0.01728 loss_cls: 0.003317 loss_box_reg: 0.01169 loss_rpn_cls: 0.000422 loss_rpn_loc: 0.0007342 loss_D_img_s: 3.91e-06 time: 0.8330 last_time: 1.9559 data_time: 0.0249 last_data_time: 0.0354 lr: 0.02 max_mem: 10548M +[04/10 00:37:22] d2.utils.events INFO: eta: 8:52:17 iter: 17479 total_loss: 0.02028 loss_cls: 0.004522 loss_box_reg: 0.01486 loss_rpn_cls: 0.0008512 loss_rpn_loc: 0.0006614 loss_D_img_s: 3.72e-06 time: 0.8331 last_time: 0.8159 data_time: 0.0250 last_data_time: 0.0181 lr: 0.02 max_mem: 10548M +[04/10 00:37:41] d2.utils.events INFO: eta: 8:51:38 iter: 17499 total_loss: 0.02298 loss_cls: 0.006498 loss_box_reg: 0.01535 loss_rpn_cls: 0.0009937 loss_rpn_loc: 0.0007014 loss_D_img_s: 3.63e-06 time: 0.8333 last_time: 0.9595 data_time: 0.0260 last_data_time: 0.0161 lr: 0.02 max_mem: 10548M +[04/10 00:38:01] d2.utils.events INFO: eta: 8:51:26 iter: 17519 total_loss: 0.02384 loss_cls: 0.004963 loss_box_reg: 0.01583 loss_rpn_cls: 0.001229 loss_rpn_loc: 0.0009492 loss_D_img_s: 3.605e-06 time: 0.8335 last_time: 0.9112 data_time: 0.0292 last_data_time: 0.0512 lr: 0.02 max_mem: 10548M +[04/10 00:38:22] d2.utils.events INFO: eta: 8:51:52 iter: 17539 total_loss: 0.02261 loss_cls: 0.004882 loss_box_reg: 0.01403 loss_rpn_cls: 0.001409 loss_rpn_loc: 0.0007235 loss_D_img_s: 3.666e-06 time: 0.8337 last_time: 1.0951 data_time: 0.0246 last_data_time: 0.0246 lr: 0.02 max_mem: 10548M +[04/10 00:38:42] d2.utils.events INFO: eta: 8:51:36 iter: 17559 total_loss: 0.02355 loss_cls: 0.005196 loss_box_reg: 0.01359 loss_rpn_cls: 0.001133 loss_rpn_loc: 0.0009025 loss_D_img_s: 3.548e-06 time: 0.8339 last_time: 1.0247 data_time: 0.0191 last_data_time: 0.0142 lr: 0.02 max_mem: 10548M +[04/10 00:39:01] d2.utils.events INFO: eta: 8:51:13 iter: 17579 total_loss: 0.01983 loss_cls: 0.004654 loss_box_reg: 0.01384 loss_rpn_cls: 0.0005246 loss_rpn_loc: 0.0006694 loss_D_img_s: 3.555e-06 time: 0.8341 last_time: 1.0962 data_time: 0.0196 last_data_time: 0.0153 lr: 0.02 max_mem: 10548M +[04/10 00:39:21] d2.utils.events INFO: eta: 8:50:21 iter: 17599 total_loss: 0.02514 loss_cls: 0.005799 loss_box_reg: 0.01531 loss_rpn_cls: 0.001165 loss_rpn_loc: 0.0009137 loss_D_img_s: 3.809e-06 time: 0.8342 last_time: 1.1830 data_time: 0.0225 last_data_time: 0.0450 lr: 0.02 max_mem: 10548M +[04/10 00:39:41] d2.utils.events INFO: eta: 8:49:39 iter: 17619 total_loss: 0.0228 loss_cls: 0.004844 loss_box_reg: 0.0151 loss_rpn_cls: 0.0008141 loss_rpn_loc: 0.001008 loss_D_img_s: 3.507e-06 time: 0.8344 last_time: 1.0155 data_time: 0.0222 last_data_time: 0.0206 lr: 0.02 max_mem: 10548M +[04/10 00:40:01] d2.utils.events INFO: eta: 8:49:20 iter: 17639 total_loss: 0.01875 loss_cls: 0.004503 loss_box_reg: 0.0136 loss_rpn_cls: 0.0009501 loss_rpn_loc: 0.0006455 loss_D_img_s: 3.621e-06 time: 0.8346 last_time: 0.9089 data_time: 0.0217 last_data_time: 0.0278 lr: 0.02 max_mem: 10548M +[04/10 00:40:21] d2.utils.events INFO: eta: 8:48:40 iter: 17659 total_loss: 0.02446 loss_cls: 0.005156 loss_box_reg: 0.01458 loss_rpn_cls: 0.0006073 loss_rpn_loc: 0.0007953 loss_D_img_s: 3.699e-06 time: 0.8348 last_time: 0.9722 data_time: 0.0253 last_data_time: 0.0195 lr: 0.02 max_mem: 10548M +[04/10 00:40:41] d2.utils.events INFO: eta: 8:48:04 iter: 17679 total_loss: 0.01761 loss_cls: 0.00313 loss_box_reg: 0.01324 loss_rpn_cls: 0.0006632 loss_rpn_loc: 0.0006699 loss_D_img_s: 3.885e-06 time: 0.8350 last_time: 0.9355 data_time: 0.0277 last_data_time: 0.0141 lr: 0.02 max_mem: 10548M +[04/10 00:41:02] d2.utils.events INFO: eta: 8:47:52 iter: 17699 total_loss: 0.01932 loss_cls: 0.004622 loss_box_reg: 0.01368 loss_rpn_cls: 0.0006844 loss_rpn_loc: 0.0008285 loss_D_img_s: 3.759e-06 time: 0.8352 last_time: 0.9973 data_time: 0.0277 last_data_time: 0.0183 lr: 0.02 max_mem: 10548M +[04/10 00:41:21] d2.utils.events INFO: eta: 8:47:21 iter: 17719 total_loss: 0.01975 loss_cls: 0.004384 loss_box_reg: 0.01396 loss_rpn_cls: 0.0008164 loss_rpn_loc: 0.0008046 loss_D_img_s: 3.722e-06 time: 0.8354 last_time: 0.9783 data_time: 0.0213 last_data_time: 0.0188 lr: 0.02 max_mem: 10548M +[04/10 00:41:41] d2.utils.events INFO: eta: 8:47:00 iter: 17739 total_loss: 0.01489 loss_cls: 0.002611 loss_box_reg: 0.01148 loss_rpn_cls: 0.0005189 loss_rpn_loc: 0.0007662 loss_D_img_s: 3.733e-06 time: 0.8355 last_time: 0.9561 data_time: 0.0200 last_data_time: 0.0134 lr: 0.02 max_mem: 10548M +[04/10 00:42:00] d2.utils.events INFO: eta: 8:46:13 iter: 17759 total_loss: 0.0159 loss_cls: 0.00362 loss_box_reg: 0.01107 loss_rpn_cls: 0.0004378 loss_rpn_loc: 0.0006674 loss_D_img_s: 3.926e-06 time: 0.8356 last_time: 0.7860 data_time: 0.0264 last_data_time: 0.0175 lr: 0.02 max_mem: 10548M +[04/10 00:42:17] d2.utils.events INFO: eta: 8:44:55 iter: 17779 total_loss: 0.02147 loss_cls: 0.004013 loss_box_reg: 0.01519 loss_rpn_cls: 0.001033 loss_rpn_loc: 0.0007819 loss_D_img_s: 3.951e-06 time: 0.8357 last_time: 1.4784 data_time: 0.0233 last_data_time: 0.0176 lr: 0.02 max_mem: 10548M +[04/10 00:42:33] d2.utils.events INFO: eta: 8:41:50 iter: 17799 total_loss: 0.02682 loss_cls: 0.006562 loss_box_reg: 0.01675 loss_rpn_cls: 0.0008259 loss_rpn_loc: 0.0006371 loss_D_img_s: 3.766e-06 time: 0.8356 last_time: 0.8009 data_time: 0.0176 last_data_time: 0.0150 lr: 0.02 max_mem: 10548M +[04/10 00:42:49] d2.utils.events INFO: eta: 8:39:37 iter: 17819 total_loss: 0.01858 loss_cls: 0.003612 loss_box_reg: 0.01271 loss_rpn_cls: 0.0005998 loss_rpn_loc: 0.00054 loss_D_img_s: 3.859e-06 time: 0.8356 last_time: 0.8032 data_time: 0.0190 last_data_time: 0.0136 lr: 0.02 max_mem: 10548M +[04/10 00:43:06] d2.utils.events INFO: eta: 8:38:05 iter: 17839 total_loss: 0.02284 loss_cls: 0.004699 loss_box_reg: 0.01542 loss_rpn_cls: 0.0009287 loss_rpn_loc: 0.0007808 loss_D_img_s: 4.121e-06 time: 0.8356 last_time: 0.8554 data_time: 0.0221 last_data_time: 0.0146 lr: 0.02 max_mem: 10548M +[04/10 00:43:22] d2.utils.events INFO: eta: 8:36:15 iter: 17859 total_loss: 0.01895 loss_cls: 0.005017 loss_box_reg: 0.01273 loss_rpn_cls: 0.0009254 loss_rpn_loc: 0.000779 loss_D_img_s: 4.052e-06 time: 0.8356 last_time: 0.8427 data_time: 0.0182 last_data_time: 0.0176 lr: 0.02 max_mem: 10548M +[04/10 00:43:38] d2.utils.events INFO: eta: 8:34:18 iter: 17879 total_loss: 0.02018 loss_cls: 0.00417 loss_box_reg: 0.0146 loss_rpn_cls: 0.000654 loss_rpn_loc: 0.0006198 loss_D_img_s: 3.84e-06 time: 0.8355 last_time: 0.7570 data_time: 0.0284 last_data_time: 0.0385 lr: 0.02 max_mem: 10548M +[04/10 00:43:54] d2.utils.events INFO: eta: 8:32:21 iter: 17899 total_loss: 0.01978 loss_cls: 0.003594 loss_box_reg: 0.01294 loss_rpn_cls: 0.0009728 loss_rpn_loc: 0.0007869 loss_D_img_s: 3.671e-06 time: 0.8355 last_time: 1.0009 data_time: 0.0213 last_data_time: 0.0296 lr: 0.02 max_mem: 10548M +[04/10 00:44:11] d2.utils.events INFO: eta: 8:30:09 iter: 17919 total_loss: 0.01865 loss_cls: 0.004643 loss_box_reg: 0.01138 loss_rpn_cls: 0.0006005 loss_rpn_loc: 0.0006043 loss_D_img_s: 3.876e-06 time: 0.8355 last_time: 0.8149 data_time: 0.0166 last_data_time: 0.0149 lr: 0.02 max_mem: 10548M +[04/10 00:44:27] d2.utils.events INFO: eta: 8:28:24 iter: 17939 total_loss: 0.01925 loss_cls: 0.003366 loss_box_reg: 0.01462 loss_rpn_cls: 0.0005531 loss_rpn_loc: 0.0009311 loss_D_img_s: 3.767e-06 time: 0.8354 last_time: 0.8000 data_time: 0.0190 last_data_time: 0.0159 lr: 0.02 max_mem: 10548M +[04/10 00:44:43] d2.utils.events INFO: eta: 8:26:11 iter: 17959 total_loss: 0.02459 loss_cls: 0.005436 loss_box_reg: 0.01627 loss_rpn_cls: 0.0008682 loss_rpn_loc: 0.0008967 loss_D_img_s: 3.734e-06 time: 0.8354 last_time: 0.7816 data_time: 0.0169 last_data_time: 0.0142 lr: 0.02 max_mem: 10548M +[04/10 00:44:59] d2.utils.events INFO: eta: 8:23:53 iter: 17979 total_loss: 0.02077 loss_cls: 0.004555 loss_box_reg: 0.01464 loss_rpn_cls: 0.0008878 loss_rpn_loc: 0.0006727 loss_D_img_s: 3.924e-06 time: 0.8354 last_time: 0.8564 data_time: 0.0270 last_data_time: 0.0142 lr: 0.02 max_mem: 10548M +[04/10 00:45:16] d2.data.common INFO: Serializing the dataset using: +[04/10 00:45:16] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 00:45:16] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 00:45:16] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 00:45:16] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 00:45:17] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0216 s/iter. Inference: 0.0581 s/iter. Eval: 0.0001 s/iter. Total: 0.0799 s/iter. ETA=0:00:31 +[04/10 00:45:22] d2.evaluation.evaluator INFO: Inference done 78/410. Dataloading: 0.0186 s/iter. Inference: 0.0568 s/iter. Eval: 0.0002 s/iter. Total: 0.0756 s/iter. ETA=0:00:25 +[04/10 00:45:27] d2.evaluation.evaluator INFO: Inference done 156/410. Dataloading: 0.0144 s/iter. Inference: 0.0553 s/iter. Eval: 0.0002 s/iter. Total: 0.0700 s/iter. ETA=0:00:17 +[04/10 00:45:32] d2.evaluation.evaluator INFO: Inference done 229/410. Dataloading: 0.0136 s/iter. Inference: 0.0556 s/iter. Eval: 0.0002 s/iter. Total: 0.0695 s/iter. ETA=0:00:12 +[04/10 00:45:37] d2.evaluation.evaluator INFO: Inference done 300/410. Dataloading: 0.0120 s/iter. Inference: 0.0576 s/iter. Eval: 0.0002 s/iter. Total: 0.0699 s/iter. ETA=0:00:07 +[04/10 00:45:42] d2.evaluation.evaluator INFO: Inference done 379/410. Dataloading: 0.0114 s/iter. Inference: 0.0569 s/iter. Eval: 0.0002 s/iter. Total: 0.0686 s/iter. ETA=0:00:02 +[04/10 00:45:44] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.555391 (0.068038 s / iter per device, on 1 devices) +[04/10 00:45:44] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.056658 s / iter per device, on 1 devices) +[04/10 00:45:44] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 00:45:44] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 00:45:44] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 00:45:44] d2.evaluation.testing INFO: copypaste: 0.4448,2.1696,0.0000 +[04/10 00:45:44] d2.data.common INFO: Serializing the dataset using: +[04/10 00:45:44] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 00:45:44] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 00:45:44] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 00:45:44] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 00:45:47] d2.evaluation.evaluator INFO: Inference done 38/410. Dataloading: 0.0164 s/iter. Inference: 0.0529 s/iter. Eval: 0.0001 s/iter. Total: 0.0694 s/iter. ETA=0:00:25 +[04/10 00:45:52] d2.evaluation.evaluator INFO: Inference done 117/410. Dataloading: 0.0122 s/iter. Inference: 0.0534 s/iter. Eval: 0.0002 s/iter. Total: 0.0658 s/iter. ETA=0:00:19 +[04/10 00:45:57] d2.evaluation.evaluator INFO: Inference done 194/410. Dataloading: 0.0092 s/iter. Inference: 0.0560 s/iter. Eval: 0.0002 s/iter. Total: 0.0655 s/iter. ETA=0:00:14 +[04/10 00:46:02] d2.evaluation.evaluator INFO: Inference done 271/410. Dataloading: 0.0106 s/iter. Inference: 0.0546 s/iter. Eval: 0.0002 s/iter. Total: 0.0655 s/iter. ETA=0:00:09 +[04/10 00:46:07] d2.evaluation.evaluator INFO: Inference done 351/410. Dataloading: 0.0107 s/iter. Inference: 0.0543 s/iter. Eval: 0.0002 s/iter. Total: 0.0654 s/iter. ETA=0:00:03 +[04/10 00:46:11] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.721336 (0.065979 s / iter per device, on 1 devices) +[04/10 00:46:11] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.055355 s / iter per device, on 1 devices) +[04/10 00:46:12] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 00:46:12] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 00:46:12] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 00:46:12] d2.evaluation.testing INFO: copypaste: 0.4284,2.2625,0.0000 +[04/10 00:46:12] d2.utils.events INFO: eta: 8:21:37 iter: 17999 total_loss: 0.02437 loss_cls: 0.005234 loss_box_reg: 0.01683 loss_rpn_cls: 0.001333 loss_rpn_loc: 0.000939 loss_D_img_s: 3.79e-06 time: 0.8354 last_time: 0.8367 data_time: 0.0181 last_data_time: 0.0298 lr: 0.02 max_mem: 10548M +[04/10 00:46:27] d2.utils.events INFO: eta: 8:18:59 iter: 18019 total_loss: 0.01834 loss_cls: 0.003402 loss_box_reg: 0.0125 loss_rpn_cls: 0.000952 loss_rpn_loc: 0.0007202 loss_D_img_s: 3.991e-06 time: 0.8353 last_time: 0.7658 data_time: 0.0251 last_data_time: 0.0128 lr: 0.02 max_mem: 10548M +[04/10 00:46:43] d2.utils.events INFO: eta: 8:15:26 iter: 18039 total_loss: 0.01606 loss_cls: 0.003438 loss_box_reg: 0.01088 loss_rpn_cls: 0.001319 loss_rpn_loc: 0.0007654 loss_D_img_s: 4.39e-06 time: 0.8353 last_time: 0.8283 data_time: 0.0223 last_data_time: 0.0141 lr: 0.02 max_mem: 10548M +[04/10 00:46:59] d2.utils.events INFO: eta: 8:11:56 iter: 18059 total_loss: 0.01982 loss_cls: 0.004859 loss_box_reg: 0.01284 loss_rpn_cls: 0.001112 loss_rpn_loc: 0.0006822 loss_D_img_s: 4.171e-06 time: 0.8352 last_time: 0.7829 data_time: 0.0204 last_data_time: 0.0145 lr: 0.02 max_mem: 10548M +[04/10 00:47:15] d2.utils.events INFO: eta: 8:08:57 iter: 18079 total_loss: 0.02082 loss_cls: 0.004177 loss_box_reg: 0.01408 loss_rpn_cls: 0.0007886 loss_rpn_loc: 0.0008667 loss_D_img_s: 4.125e-06 time: 0.8352 last_time: 0.7605 data_time: 0.0190 last_data_time: 0.0157 lr: 0.02 max_mem: 10548M +[04/10 00:47:32] d2.utils.events INFO: eta: 8:05:42 iter: 18099 total_loss: 0.01957 loss_cls: 0.004718 loss_box_reg: 0.01333 loss_rpn_cls: 0.0008526 loss_rpn_loc: 0.0005753 loss_D_img_s: 3.801e-06 time: 0.8352 last_time: 0.8163 data_time: 0.0220 last_data_time: 0.0166 lr: 0.02 max_mem: 10548M +[04/10 00:47:48] d2.utils.events INFO: eta: 8:02:15 iter: 18119 total_loss: 0.02003 loss_cls: 0.004203 loss_box_reg: 0.01339 loss_rpn_cls: 0.0007907 loss_rpn_loc: 0.0005933 loss_D_img_s: 4.007e-06 time: 0.8352 last_time: 0.8087 data_time: 0.0168 last_data_time: 0.0146 lr: 0.02 max_mem: 10548M +[04/10 00:48:04] d2.utils.events INFO: eta: 7:58:38 iter: 18139 total_loss: 0.01842 loss_cls: 0.004637 loss_box_reg: 0.0129 loss_rpn_cls: 0.0005601 loss_rpn_loc: 0.0007797 loss_D_img_s: 3.965e-06 time: 0.8351 last_time: 0.7011 data_time: 0.0195 last_data_time: 0.0402 lr: 0.02 max_mem: 10548M +[04/10 00:48:21] d2.utils.events INFO: eta: 7:56:29 iter: 18159 total_loss: 0.02244 loss_cls: 0.004527 loss_box_reg: 0.01428 loss_rpn_cls: 0.0009613 loss_rpn_loc: 0.0008497 loss_D_img_s: 3.757e-06 time: 0.8351 last_time: 0.7717 data_time: 0.0157 last_data_time: 0.0140 lr: 0.02 max_mem: 10548M +[04/10 00:48:37] d2.utils.events INFO: eta: 7:51:26 iter: 18179 total_loss: 0.01811 loss_cls: 0.004192 loss_box_reg: 0.01258 loss_rpn_cls: 0.0006281 loss_rpn_loc: 0.0007086 loss_D_img_s: 3.797e-06 time: 0.8351 last_time: 0.7654 data_time: 0.0222 last_data_time: 0.0160 lr: 0.02 max_mem: 10548M +[04/10 00:48:54] d2.utils.events INFO: eta: 7:49:46 iter: 18199 total_loss: 0.01982 loss_cls: 0.00441 loss_box_reg: 0.01321 loss_rpn_cls: 0.0005477 loss_rpn_loc: 0.0007763 loss_D_img_s: 3.68e-06 time: 0.8351 last_time: 0.7352 data_time: 0.0237 last_data_time: 0.0316 lr: 0.02 max_mem: 10548M +[04/10 00:49:10] d2.utils.events INFO: eta: 7:48:04 iter: 18219 total_loss: 0.02225 loss_cls: 0.004794 loss_box_reg: 0.01465 loss_rpn_cls: 0.001319 loss_rpn_loc: 0.0007676 loss_D_img_s: 3.739e-06 time: 0.8351 last_time: 0.7809 data_time: 0.0193 last_data_time: 0.0383 lr: 0.02 max_mem: 10548M +[04/10 00:49:26] d2.utils.events INFO: eta: 7:44:12 iter: 18239 total_loss: 0.02012 loss_cls: 0.005783 loss_box_reg: 0.01368 loss_rpn_cls: 0.0009713 loss_rpn_loc: 0.0006534 loss_D_img_s: 3.702e-06 time: 0.8351 last_time: 0.8054 data_time: 0.0214 last_data_time: 0.0126 lr: 0.02 max_mem: 10548M +[04/10 00:49:43] d2.utils.events INFO: eta: 7:38:30 iter: 18259 total_loss: 0.02032 loss_cls: 0.004673 loss_box_reg: 0.01214 loss_rpn_cls: 0.001123 loss_rpn_loc: 0.0007306 loss_D_img_s: 3.819e-06 time: 0.8350 last_time: 0.8588 data_time: 0.0233 last_data_time: 0.0335 lr: 0.02 max_mem: 10548M +[04/10 00:49:59] d2.utils.events INFO: eta: 7:35:03 iter: 18279 total_loss: 0.02295 loss_cls: 0.004626 loss_box_reg: 0.01358 loss_rpn_cls: 0.0008443 loss_rpn_loc: 0.0007672 loss_D_img_s: 3.763e-06 time: 0.8350 last_time: 0.7689 data_time: 0.0235 last_data_time: 0.0173 lr: 0.02 max_mem: 10548M +[04/10 00:50:15] d2.utils.events INFO: eta: 7:32:01 iter: 18299 total_loss: 0.02103 loss_cls: 0.004884 loss_box_reg: 0.01398 loss_rpn_cls: 0.000813 loss_rpn_loc: 0.0006761 loss_D_img_s: 4.124e-06 time: 0.8350 last_time: 0.8068 data_time: 0.0218 last_data_time: 0.0221 lr: 0.02 max_mem: 10548M +[04/10 00:50:32] d2.utils.events INFO: eta: 7:27:30 iter: 18319 total_loss: 0.02307 loss_cls: 0.004687 loss_box_reg: 0.01301 loss_rpn_cls: 0.0007562 loss_rpn_loc: 0.0005518 loss_D_img_s: 3.939e-06 time: 0.8350 last_time: 0.7716 data_time: 0.0224 last_data_time: 0.0215 lr: 0.02 max_mem: 10548M +[04/10 00:50:48] d2.utils.events INFO: eta: 7:24:16 iter: 18339 total_loss: 0.02238 loss_cls: 0.005204 loss_box_reg: 0.01294 loss_rpn_cls: 0.0006961 loss_rpn_loc: 0.0008112 loss_D_img_s: 3.832e-06 time: 0.8350 last_time: 0.8142 data_time: 0.0274 last_data_time: 0.0323 lr: 0.02 max_mem: 10548M +[04/10 00:51:04] d2.utils.events INFO: eta: 7:22:07 iter: 18359 total_loss: 0.0189 loss_cls: 0.003807 loss_box_reg: 0.01332 loss_rpn_cls: 0.0007057 loss_rpn_loc: 0.0005364 loss_D_img_s: 3.928e-06 time: 0.8349 last_time: 0.8322 data_time: 0.0149 last_data_time: 0.0134 lr: 0.02 max_mem: 10548M +[04/10 00:51:21] d2.utils.events INFO: eta: 7:19:59 iter: 18379 total_loss: 0.02211 loss_cls: 0.005217 loss_box_reg: 0.01581 loss_rpn_cls: 0.00103 loss_rpn_loc: 0.0007543 loss_D_img_s: 4.085e-06 time: 0.8349 last_time: 0.8106 data_time: 0.0168 last_data_time: 0.0156 lr: 0.02 max_mem: 10548M +[04/10 00:51:37] d2.utils.events INFO: eta: 7:18:03 iter: 18399 total_loss: 0.02443 loss_cls: 0.005591 loss_box_reg: 0.01654 loss_rpn_cls: 0.0006235 loss_rpn_loc: 0.0008914 loss_D_img_s: 4.056e-06 time: 0.8349 last_time: 0.8872 data_time: 0.0191 last_data_time: 0.0137 lr: 0.02 max_mem: 10548M +[04/10 00:51:54] d2.utils.events INFO: eta: 7:16:47 iter: 18419 total_loss: 0.021 loss_cls: 0.005109 loss_box_reg: 0.0141 loss_rpn_cls: 0.0007021 loss_rpn_loc: 0.0008647 loss_D_img_s: 3.706e-06 time: 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d2.utils.events INFO: eta: 7:10:48 iter: 18499 total_loss: 0.02326 loss_cls: 0.004857 loss_box_reg: 0.01386 loss_rpn_cls: 0.001078 loss_rpn_loc: 0.001021 loss_D_img_s: 3.972e-06 time: 0.8348 last_time: 0.7244 data_time: 0.0213 last_data_time: 0.0183 lr: 0.02 max_mem: 10548M +[04/10 00:53:15] d2.utils.events INFO: eta: 7:09:27 iter: 18519 total_loss: 0.01851 loss_cls: 0.003939 loss_box_reg: 0.01364 loss_rpn_cls: 0.0006671 loss_rpn_loc: 0.0008285 loss_D_img_s: 4.026e-06 time: 0.8348 last_time: 0.8226 data_time: 0.0183 last_data_time: 0.0171 lr: 0.02 max_mem: 10548M +[04/10 00:53:32] d2.utils.events INFO: eta: 7:08:17 iter: 18539 total_loss: 0.01806 loss_cls: 0.003568 loss_box_reg: 0.01225 loss_rpn_cls: 0.0007091 loss_rpn_loc: 0.0006552 loss_D_img_s: 4.102e-06 time: 0.8348 last_time: 0.7989 data_time: 0.0181 last_data_time: 0.0311 lr: 0.02 max_mem: 10548M +[04/10 00:53:48] d2.utils.events INFO: eta: 7:07:30 iter: 18559 total_loss: 0.0202 loss_cls: 0.004224 loss_box_reg: 0.01225 loss_rpn_cls: 0.0004987 loss_rpn_loc: 0.0008458 loss_D_img_s: 3.937e-06 time: 0.8347 last_time: 0.7857 data_time: 0.0188 last_data_time: 0.0339 lr: 0.02 max_mem: 10548M +[04/10 00:54:04] d2.utils.events INFO: eta: 7:06:11 iter: 18579 total_loss: 0.02118 loss_cls: 0.004809 loss_box_reg: 0.01443 loss_rpn_cls: 0.0008933 loss_rpn_loc: 0.0008065 loss_D_img_s: 3.928e-06 time: 0.8347 last_time: 0.7862 data_time: 0.0203 last_data_time: 0.0170 lr: 0.02 max_mem: 10548M +[04/10 00:54:20] d2.utils.events INFO: eta: 7:05:06 iter: 18599 total_loss: 0.01929 loss_cls: 0.004167 loss_box_reg: 0.01278 loss_rpn_cls: 0.0005572 loss_rpn_loc: 0.0007483 loss_D_img_s: 3.874e-06 time: 0.8347 last_time: 0.8339 data_time: 0.0186 last_data_time: 0.0141 lr: 0.02 max_mem: 10548M +[04/10 00:54:37] d2.utils.events INFO: eta: 7:04:11 iter: 18619 total_loss: 0.01909 loss_cls: 0.004439 loss_box_reg: 0.01388 loss_rpn_cls: 0.0006256 loss_rpn_loc: 0.0007184 loss_D_img_s: 3.958e-06 time: 0.8347 last_time: 0.8078 data_time: 0.0155 last_data_time: 0.0136 lr: 0.02 max_mem: 10548M +[04/10 00:54:53] d2.utils.events INFO: eta: 7:03:00 iter: 18639 total_loss: 0.01925 loss_cls: 0.004244 loss_box_reg: 0.01284 loss_rpn_cls: 0.0006514 loss_rpn_loc: 0.000866 loss_D_img_s: 3.845e-06 time: 0.8346 last_time: 0.8078 data_time: 0.0194 last_data_time: 0.0166 lr: 0.02 max_mem: 10548M +[04/10 00:55:09] d2.utils.events INFO: eta: 7:02:02 iter: 18659 total_loss: 0.01814 loss_cls: 0.004389 loss_box_reg: 0.01152 loss_rpn_cls: 0.0007714 loss_rpn_loc: 0.0005756 loss_D_img_s: 3.834e-06 time: 0.8346 last_time: 0.7956 data_time: 0.0176 last_data_time: 0.0139 lr: 0.02 max_mem: 10548M +[04/10 00:55:25] d2.utils.events INFO: eta: 7:01:39 iter: 18679 total_loss: 0.01914 loss_cls: 0.004632 loss_box_reg: 0.01267 loss_rpn_cls: 0.0006203 loss_rpn_loc: 0.0007418 loss_D_img_s: 3.603e-06 time: 0.8346 last_time: 0.8102 data_time: 0.0203 last_data_time: 0.0150 lr: 0.02 max_mem: 10548M +[04/10 00:55:42] d2.utils.events INFO: eta: 7:01:07 iter: 18699 total_loss: 0.0232 loss_cls: 0.005151 loss_box_reg: 0.01395 loss_rpn_cls: 0.001257 loss_rpn_loc: 0.0009064 loss_D_img_s: 3.914e-06 time: 0.8346 last_time: 0.7987 data_time: 0.0188 last_data_time: 0.0129 lr: 0.02 max_mem: 10548M +[04/10 00:55:58] d2.utils.events INFO: eta: 7:00:39 iter: 18719 total_loss: 0.01557 loss_cls: 0.002981 loss_box_reg: 0.01093 loss_rpn_cls: 0.00059 loss_rpn_loc: 0.0006127 loss_D_img_s: 3.924e-06 time: 0.8346 last_time: 0.8778 data_time: 0.0212 last_data_time: 0.0148 lr: 0.02 max_mem: 10548M +[04/10 00:56:15] d2.utils.events INFO: eta: 6:59:20 iter: 18739 total_loss: 0.01764 loss_cls: 0.004403 loss_box_reg: 0.01212 loss_rpn_cls: 0.0005439 loss_rpn_loc: 0.0007015 loss_D_img_s: 3.921e-06 time: 0.8345 last_time: 0.8019 data_time: 0.0181 last_data_time: 0.0406 lr: 0.02 max_mem: 10548M +[04/10 00:56:31] d2.utils.events INFO: eta: 6:58:41 iter: 18759 total_loss: 0.0202 loss_cls: 0.005039 loss_box_reg: 0.01414 loss_rpn_cls: 0.0006736 loss_rpn_loc: 0.0007579 loss_D_img_s: 3.6e-06 time: 0.8345 last_time: 0.8207 data_time: 0.0180 last_data_time: 0.0146 lr: 0.02 max_mem: 10548M +[04/10 00:56:47] d2.utils.events INFO: eta: 6:58:33 iter: 18779 total_loss: 0.01742 loss_cls: 0.003959 loss_box_reg: 0.01208 loss_rpn_cls: 0.0005582 loss_rpn_loc: 0.0007614 loss_D_img_s: 3.897e-06 time: 0.8345 last_time: 0.8167 data_time: 0.0199 last_data_time: 0.0153 lr: 0.02 max_mem: 10548M +[04/10 00:57:04] d2.utils.events INFO: eta: 6:58:49 iter: 18799 total_loss: 0.01633 loss_cls: 0.004472 loss_box_reg: 0.01156 loss_rpn_cls: 0.0003363 loss_rpn_loc: 0.0008123 loss_D_img_s: 3.896e-06 time: 0.8345 last_time: 0.8167 data_time: 0.0180 last_data_time: 0.0212 lr: 0.02 max_mem: 10548M +[04/10 00:57:20] d2.utils.events INFO: eta: 6:58:45 iter: 18819 total_loss: 0.01907 loss_cls: 0.004525 loss_box_reg: 0.0135 loss_rpn_cls: 0.0006156 loss_rpn_loc: 0.0007073 loss_D_img_s: 3.93e-06 time: 0.8345 last_time: 0.6613 data_time: 0.0168 last_data_time: 0.0129 lr: 0.02 max_mem: 10548M +[04/10 00:57:37] d2.utils.events INFO: eta: 6:58:06 iter: 18839 total_loss: 0.01888 loss_cls: 0.004047 loss_box_reg: 0.01262 loss_rpn_cls: 0.0005631 loss_rpn_loc: 0.0006446 loss_D_img_s: 3.779e-06 time: 0.8345 last_time: 0.7941 data_time: 0.0219 last_data_time: 0.0162 lr: 0.02 max_mem: 10548M +[04/10 00:57:53] d2.utils.events INFO: eta: 6:58:03 iter: 18859 total_loss: 0.02363 loss_cls: 0.005958 loss_box_reg: 0.01474 loss_rpn_cls: 0.00134 loss_rpn_loc: 0.0007396 loss_D_img_s: 3.732e-06 time: 0.8345 last_time: 0.8398 data_time: 0.0171 last_data_time: 0.0197 lr: 0.02 max_mem: 10548M +[04/10 00:58:10] d2.utils.events INFO: eta: 6:58:06 iter: 18879 total_loss: 0.01978 loss_cls: 0.004336 loss_box_reg: 0.0129 loss_rpn_cls: 0.0006228 loss_rpn_loc: 0.0006417 loss_D_img_s: 3.796e-06 time: 0.8345 last_time: 0.7744 data_time: 0.0166 last_data_time: 0.0160 lr: 0.02 max_mem: 10548M +[04/10 00:58:26] d2.utils.events INFO: eta: 6:57:45 iter: 18899 total_loss: 0.02041 loss_cls: 0.005093 loss_box_reg: 0.01468 loss_rpn_cls: 0.0006874 loss_rpn_loc: 0.000745 loss_D_img_s: 3.686e-06 time: 0.8344 last_time: 0.7764 data_time: 0.0279 last_data_time: 0.0155 lr: 0.02 max_mem: 10548M +[04/10 00:58:42] d2.utils.events INFO: eta: 6:57:24 iter: 18919 total_loss: 0.02042 loss_cls: 0.004355 loss_box_reg: 0.01444 loss_rpn_cls: 0.0006949 loss_rpn_loc: 0.0007517 loss_D_img_s: 3.862e-06 time: 0.8344 last_time: 0.7694 data_time: 0.0172 last_data_time: 0.0173 lr: 0.02 max_mem: 10548M +[04/10 00:58:59] d2.utils.events INFO: eta: 6:57:44 iter: 18939 total_loss: 0.02186 loss_cls: 0.00585 loss_box_reg: 0.01427 loss_rpn_cls: 0.001057 loss_rpn_loc: 0.0006988 loss_D_img_s: 3.795e-06 time: 0.8344 last_time: 0.8982 data_time: 0.0182 last_data_time: 0.0141 lr: 0.02 max_mem: 10548M +[04/10 00:59:16] d2.utils.events INFO: eta: 6:57:29 iter: 18959 total_loss: 0.01859 loss_cls: 0.0039 loss_box_reg: 0.01313 loss_rpn_cls: 0.0005823 loss_rpn_loc: 0.0006799 loss_D_img_s: 3.666e-06 time: 0.8344 last_time: 0.8284 data_time: 0.0208 last_data_time: 0.0159 lr: 0.02 max_mem: 10548M +[04/10 00:59:32] d2.utils.events INFO: eta: 6:56:48 iter: 18979 total_loss: 0.02037 loss_cls: 0.004662 loss_box_reg: 0.01396 loss_rpn_cls: 0.0009509 loss_rpn_loc: 0.0006887 loss_D_img_s: 4.029e-06 time: 0.8344 last_time: 0.7915 data_time: 0.0222 last_data_time: 0.0358 lr: 0.02 max_mem: 10548M +[04/10 00:59:49] d2.data.common INFO: Serializing the dataset using: +[04/10 00:59:49] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 00:59:49] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 00:59:49] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 00:59:49] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 00:59:50] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0064 s/iter. Inference: 0.0529 s/iter. Eval: 0.0001 s/iter. Total: 0.0595 s/iter. ETA=0:00:23 +[04/10 00:59:55] d2.evaluation.evaluator INFO: Inference done 78/410. Dataloading: 0.0155 s/iter. Inference: 0.0579 s/iter. Eval: 0.0001 s/iter. Total: 0.0737 s/iter. ETA=0:00:24 +[04/10 01:00:00] d2.evaluation.evaluator INFO: Inference done 145/410. Dataloading: 0.0140 s/iter. Inference: 0.0601 s/iter. Eval: 0.0002 s/iter. Total: 0.0744 s/iter. ETA=0:00:19 +[04/10 01:00:05] d2.evaluation.evaluator INFO: Inference done 218/410. Dataloading: 0.0125 s/iter. Inference: 0.0597 s/iter. Eval: 0.0002 s/iter. Total: 0.0725 s/iter. ETA=0:00:13 +[04/10 01:00:10] d2.evaluation.evaluator INFO: Inference done 283/410. Dataloading: 0.0126 s/iter. Inference: 0.0606 s/iter. Eval: 0.0002 s/iter. Total: 0.0735 s/iter. ETA=0:00:09 +[04/10 01:00:15] d2.evaluation.evaluator INFO: Inference done 349/410. Dataloading: 0.0131 s/iter. Inference: 0.0606 s/iter. Eval: 0.0002 s/iter. Total: 0.0740 s/iter. ETA=0:00:04 +[04/10 01:00:19] d2.evaluation.evaluator INFO: Total inference time: 0:00:29.636897 (0.073178 s / iter per device, on 1 devices) +[04/10 01:00:19] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:24 (0.060035 s / iter per device, on 1 devices) +[04/10 01:00:19] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 01:00:19] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 01:00:19] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 01:00:19] d2.evaluation.testing INFO: copypaste: 0.8114,3.4459,0.0000 +[04/10 01:00:19] d2.data.common INFO: Serializing the dataset using: +[04/10 01:00:19] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 01:00:19] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 01:00:19] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 01:00:19] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 01:00:20] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0035 s/iter. Inference: 0.0558 s/iter. Eval: 0.0001 s/iter. Total: 0.0595 s/iter. ETA=0:00:23 +[04/10 01:00:25] d2.evaluation.evaluator INFO: Inference done 77/410. Dataloading: 0.0134 s/iter. Inference: 0.0610 s/iter. Eval: 0.0003 s/iter. Total: 0.0748 s/iter. ETA=0:00:24 +[04/10 01:00:30] d2.evaluation.evaluator INFO: Inference done 148/410. Dataloading: 0.0127 s/iter. Inference: 0.0596 s/iter. Eval: 0.0002 s/iter. Total: 0.0727 s/iter. ETA=0:00:19 +[04/10 01:00:35] d2.evaluation.evaluator INFO: Inference done 220/410. Dataloading: 0.0115 s/iter. Inference: 0.0598 s/iter. Eval: 0.0002 s/iter. Total: 0.0716 s/iter. ETA=0:00:13 +[04/10 01:00:40] d2.evaluation.evaluator INFO: Inference done 291/410. Dataloading: 0.0106 s/iter. Inference: 0.0604 s/iter. Eval: 0.0002 s/iter. Total: 0.0714 s/iter. ETA=0:00:08 +[04/10 01:00:45] d2.evaluation.evaluator INFO: Inference done 361/410. Dataloading: 0.0112 s/iter. Inference: 0.0600 s/iter. Eval: 0.0002 s/iter. Total: 0.0716 s/iter. ETA=0:00:03 +[04/10 01:00:49] d2.evaluation.evaluator INFO: Total inference time: 0:00:28.629189 (0.070689 s / iter per device, on 1 devices) +[04/10 01:00:49] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.059176 s / iter per device, on 1 devices) +[04/10 01:00:49] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 01:00:49] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 01:00:49] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 01:00:49] d2.evaluation.testing INFO: copypaste: 0.3903,1.9498,0.0000 +[04/10 01:00:49] d2.utils.events INFO: eta: 6:56:26 iter: 18999 total_loss: 0.01884 loss_cls: 0.00403 loss_box_reg: 0.01382 loss_rpn_cls: 0.0008194 loss_rpn_loc: 0.0008065 loss_D_img_s: 3.793e-06 time: 0.8344 last_time: 0.7778 data_time: 0.0208 last_data_time: 0.0142 lr: 0.02 max_mem: 10548M +[04/10 01:01:05] d2.utils.events INFO: eta: 6:56:08 iter: 19019 total_loss: 0.02255 loss_cls: 0.004997 loss_box_reg: 0.01451 loss_rpn_cls: 0.0009029 loss_rpn_loc: 0.0006295 loss_D_img_s: 4.024e-06 time: 0.8343 last_time: 0.7815 data_time: 0.0264 last_data_time: 0.0343 lr: 0.02 max_mem: 10548M +[04/10 01:01:21] d2.utils.events INFO: eta: 6:55:38 iter: 19039 total_loss: 0.02039 loss_cls: 0.00446 loss_box_reg: 0.0146 loss_rpn_cls: 0.001184 loss_rpn_loc: 0.0007244 loss_D_img_s: 4.095e-06 time: 0.8343 last_time: 0.8396 data_time: 0.0323 last_data_time: 0.0139 lr: 0.02 max_mem: 10548M +[04/10 01:01:37] d2.utils.events INFO: eta: 6:55:37 iter: 19059 total_loss: 0.0165 loss_cls: 0.003274 loss_box_reg: 0.0125 loss_rpn_cls: 0.0006485 loss_rpn_loc: 0.0005776 loss_D_img_s: 3.774e-06 time: 0.8343 last_time: 0.8348 data_time: 0.0229 last_data_time: 0.0301 lr: 0.02 max_mem: 10548M +[04/10 01:01:53] d2.utils.events INFO: eta: 6:55:13 iter: 19079 total_loss: 0.02105 loss_cls: 0.003999 loss_box_reg: 0.01535 loss_rpn_cls: 0.0006125 loss_rpn_loc: 0.0007206 loss_D_img_s: 3.595e-06 time: 0.8343 last_time: 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0.003245 loss_box_reg: 0.01109 loss_rpn_cls: 0.0006516 loss_rpn_loc: 0.0005664 loss_D_img_s: 3.964e-06 time: 0.8340 last_time: 0.7776 data_time: 0.0219 last_data_time: 0.0208 lr: 0.02 max_mem: 10548M +[04/10 01:05:58] d2.utils.events INFO: eta: 6:50:01 iter: 19379 total_loss: 0.02316 loss_cls: 0.006155 loss_box_reg: 0.01598 loss_rpn_cls: 0.001112 loss_rpn_loc: 0.0008981 loss_D_img_s: 3.834e-06 time: 0.8340 last_time: 0.7816 data_time: 0.0172 last_data_time: 0.0146 lr: 0.02 max_mem: 10548M +[04/10 01:06:15] d2.utils.events INFO: eta: 6:49:55 iter: 19399 total_loss: 0.02062 loss_cls: 0.004298 loss_box_reg: 0.01356 loss_rpn_cls: 0.001137 loss_rpn_loc: 0.0008857 loss_D_img_s: 3.961e-06 time: 0.8340 last_time: 0.7742 data_time: 0.0221 last_data_time: 0.0126 lr: 0.02 max_mem: 10548M +[04/10 01:06:31] d2.utils.events INFO: eta: 6:49:31 iter: 19419 total_loss: 0.02035 loss_cls: 0.003997 loss_box_reg: 0.01318 loss_rpn_cls: 0.0005344 loss_rpn_loc: 0.0006554 loss_D_img_s: 3.842e-06 time: 0.8340 last_time: 0.8767 data_time: 0.0231 last_data_time: 0.0225 lr: 0.02 max_mem: 10548M +[04/10 01:06:47] d2.utils.events INFO: eta: 6:49:25 iter: 19439 total_loss: 0.01549 loss_cls: 0.003716 loss_box_reg: 0.01132 loss_rpn_cls: 0.000487 loss_rpn_loc: 0.0005435 loss_D_img_s: 3.714e-06 time: 0.8339 last_time: 0.8422 data_time: 0.0178 last_data_time: 0.0342 lr: 0.02 max_mem: 10548M +[04/10 01:07:03] d2.utils.events INFO: eta: 6:48:54 iter: 19459 total_loss: 0.01626 loss_cls: 0.003601 loss_box_reg: 0.01193 loss_rpn_cls: 0.0006159 loss_rpn_loc: 0.0005634 loss_D_img_s: 3.754e-06 time: 0.8339 last_time: 0.8804 data_time: 0.0175 last_data_time: 0.0136 lr: 0.02 max_mem: 10548M +[04/10 01:07:19] d2.utils.events INFO: eta: 6:48:27 iter: 19479 total_loss: 0.02044 loss_cls: 0.003831 loss_box_reg: 0.01446 loss_rpn_cls: 0.0009023 loss_rpn_loc: 0.0006735 loss_D_img_s: 3.943e-06 time: 0.8339 last_time: 0.8113 data_time: 0.0188 last_data_time: 0.0148 lr: 0.02 max_mem: 10548M +[04/10 01:07:35] d2.utils.events INFO: eta: 6:48:24 iter: 19499 total_loss: 0.01754 loss_cls: 0.003623 loss_box_reg: 0.01259 loss_rpn_cls: 0.0005132 loss_rpn_loc: 0.000606 loss_D_img_s: 3.666e-06 time: 0.8338 last_time: 0.8319 data_time: 0.0188 last_data_time: 0.0135 lr: 0.02 max_mem: 10548M +[04/10 01:07:52] d2.utils.events INFO: eta: 6:48:22 iter: 19519 total_loss: 0.01605 loss_cls: 0.003859 loss_box_reg: 0.01085 loss_rpn_cls: 0.0005062 loss_rpn_loc: 0.0006734 loss_D_img_s: 3.7e-06 time: 0.8338 last_time: 0.8233 data_time: 0.0211 last_data_time: 0.0149 lr: 0.02 max_mem: 10548M +[04/10 01:08:08] d2.utils.events INFO: eta: 6:48:12 iter: 19539 total_loss: 0.01665 loss_cls: 0.003171 loss_box_reg: 0.01217 loss_rpn_cls: 0.0005296 loss_rpn_loc: 0.0008811 loss_D_img_s: 3.501e-06 time: 0.8338 last_time: 0.8148 data_time: 0.0170 last_data_time: 0.0126 lr: 0.02 max_mem: 10548M +[04/10 01:08:24] d2.utils.events INFO: eta: 6:48:02 iter: 19559 total_loss: 0.01686 loss_cls: 0.003619 loss_box_reg: 0.01196 loss_rpn_cls: 0.0009 loss_rpn_loc: 0.0006987 loss_D_img_s: 3.772e-06 time: 0.8338 last_time: 0.8242 data_time: 0.0209 last_data_time: 0.0137 lr: 0.02 max_mem: 10548M +[04/10 01:08:40] d2.utils.events INFO: eta: 6:48:13 iter: 19579 total_loss: 0.02011 loss_cls: 0.003764 loss_box_reg: 0.01361 loss_rpn_cls: 0.0008923 loss_rpn_loc: 0.0007528 loss_D_img_s: 4.186e-06 time: 0.8337 last_time: 0.8269 data_time: 0.0165 last_data_time: 0.0161 lr: 0.02 max_mem: 10548M +[04/10 01:08:57] d2.utils.events INFO: eta: 6:48:20 iter: 19599 total_loss: 0.01977 loss_cls: 0.004119 loss_box_reg: 0.01284 loss_rpn_cls: 0.0006088 loss_rpn_loc: 0.0006765 loss_D_img_s: 3.803e-06 time: 0.8337 last_time: 0.8373 data_time: 0.0213 last_data_time: 0.0162 lr: 0.02 max_mem: 10548M +[04/10 01:09:13] d2.utils.events INFO: eta: 6:48:12 iter: 19619 total_loss: 0.02264 loss_cls: 0.005003 loss_box_reg: 0.01595 loss_rpn_cls: 0.0009183 loss_rpn_loc: 0.0008096 loss_D_img_s: 3.76e-06 time: 0.8337 last_time: 0.8131 data_time: 0.0246 last_data_time: 0.0317 lr: 0.02 max_mem: 10548M +[04/10 01:09:30] d2.utils.events INFO: eta: 6:48:19 iter: 19639 total_loss: 0.02107 loss_cls: 0.005302 loss_box_reg: 0.01488 loss_rpn_cls: 0.000908 loss_rpn_loc: 0.0007759 loss_D_img_s: 3.906e-06 time: 0.8337 last_time: 0.8563 data_time: 0.0356 last_data_time: 0.0182 lr: 0.02 max_mem: 10548M +[04/10 01:09:46] d2.utils.events INFO: eta: 6:48:14 iter: 19659 total_loss: 0.01931 loss_cls: 0.00369 loss_box_reg: 0.01378 loss_rpn_cls: 0.0009468 loss_rpn_loc: 0.0006744 loss_D_img_s: 3.745e-06 time: 0.8337 last_time: 0.8448 data_time: 0.0250 last_data_time: 0.0163 lr: 0.02 max_mem: 10548M +[04/10 01:10:03] d2.utils.events INFO: eta: 6:47:54 iter: 19679 total_loss: 0.02119 loss_cls: 0.004507 loss_box_reg: 0.01308 loss_rpn_cls: 0.0006606 loss_rpn_loc: 0.0006498 loss_D_img_s: 3.881e-06 time: 0.8337 last_time: 0.8187 data_time: 0.0253 last_data_time: 0.0160 lr: 0.02 max_mem: 10548M +[04/10 01:10:19] d2.utils.events INFO: eta: 6:47:44 iter: 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loss_D_img_s: 3.875e-06 time: 0.8336 last_time: 0.8218 data_time: 0.0257 last_data_time: 0.0348 lr: 0.02 max_mem: 10548M +[04/10 01:11:25] d2.utils.events INFO: eta: 6:47:02 iter: 19779 total_loss: 0.02093 loss_cls: 0.005031 loss_box_reg: 0.01536 loss_rpn_cls: 0.0008574 loss_rpn_loc: 0.000679 loss_D_img_s: 3.884e-06 time: 0.8336 last_time: 0.7094 data_time: 0.0227 last_data_time: 0.0149 lr: 0.02 max_mem: 10548M +[04/10 01:11:42] d2.utils.events INFO: eta: 6:46:39 iter: 19799 total_loss: 0.02473 loss_cls: 0.004829 loss_box_reg: 0.01463 loss_rpn_cls: 0.00151 loss_rpn_loc: 0.0008615 loss_D_img_s: 3.875e-06 time: 0.8336 last_time: 0.7177 data_time: 0.0310 last_data_time: 0.0177 lr: 0.02 max_mem: 10548M +[04/10 01:11:58] d2.utils.events INFO: eta: 6:46:32 iter: 19819 total_loss: 0.02311 loss_cls: 0.004244 loss_box_reg: 0.0163 loss_rpn_cls: 0.0009727 loss_rpn_loc: 0.0008758 loss_D_img_s: 3.836e-06 time: 0.8336 last_time: 0.7603 data_time: 0.0295 last_data_time: 0.0354 lr: 0.02 max_mem: 10548M +[04/10 01:12:15] d2.utils.events INFO: eta: 6:46:20 iter: 19839 total_loss: 0.01657 loss_cls: 0.003769 loss_box_reg: 0.01252 loss_rpn_cls: 0.0004725 loss_rpn_loc: 0.0006659 loss_D_img_s: 3.734e-06 time: 0.8336 last_time: 0.7982 data_time: 0.0262 last_data_time: 0.0132 lr: 0.02 max_mem: 10548M +[04/10 01:12:32] d2.utils.events INFO: eta: 6:46:00 iter: 19859 total_loss: 0.01973 loss_cls: 0.003597 loss_box_reg: 0.01361 loss_rpn_cls: 0.0008914 loss_rpn_loc: 0.0008321 loss_D_img_s: 3.548e-06 time: 0.8336 last_time: 0.8576 data_time: 0.0269 last_data_time: 0.0139 lr: 0.02 max_mem: 10548M +[04/10 01:12:48] d2.utils.events INFO: eta: 6:45:56 iter: 19879 total_loss: 0.01829 loss_cls: 0.004651 loss_box_reg: 0.01297 loss_rpn_cls: 0.0007218 loss_rpn_loc: 0.000589 loss_D_img_s: 3.692e-06 time: 0.8336 last_time: 0.8067 data_time: 0.0242 last_data_time: 0.0152 lr: 0.02 max_mem: 10548M +[04/10 01:13:04] d2.utils.events INFO: eta: 6:45:57 iter: 19899 total_loss: 0.01687 loss_cls: 0.003821 loss_box_reg: 0.01145 loss_rpn_cls: 0.0005635 loss_rpn_loc: 0.0006322 loss_D_img_s: 3.554e-06 time: 0.8336 last_time: 0.7863 data_time: 0.0247 last_data_time: 0.0327 lr: 0.02 max_mem: 10548M +[04/10 01:13:21] d2.utils.events INFO: eta: 6:45:41 iter: 19919 total_loss: 0.01664 loss_cls: 0.003792 loss_box_reg: 0.01153 loss_rpn_cls: 0.0004951 loss_rpn_loc: 0.000595 loss_D_img_s: 3.553e-06 time: 0.8336 last_time: 0.8265 data_time: 0.0239 last_data_time: 0.0151 lr: 0.02 max_mem: 10548M +[04/10 01:13:37] d2.utils.events INFO: eta: 6:45:25 iter: 19939 total_loss: 0.01935 loss_cls: 0.004581 loss_box_reg: 0.01305 loss_rpn_cls: 0.0006201 loss_rpn_loc: 0.0008083 loss_D_img_s: 3.517e-06 time: 0.8336 last_time: 0.8240 data_time: 0.0235 last_data_time: 0.0152 lr: 0.02 max_mem: 10548M +[04/10 01:13:54] d2.utils.events INFO: eta: 6:44:49 iter: 19959 total_loss: 0.01823 loss_cls: 0.003856 loss_box_reg: 0.01287 loss_rpn_cls: 0.0008802 loss_rpn_loc: 0.0007545 loss_D_img_s: 3.419e-06 time: 0.8336 last_time: 1.0520 data_time: 0.0239 last_data_time: 0.0201 lr: 0.02 max_mem: 10548M +[04/10 01:14:11] d2.utils.events INFO: eta: 6:44:52 iter: 19979 total_loss: 0.01791 loss_cls: 0.003569 loss_box_reg: 0.01337 loss_rpn_cls: 0.0007343 loss_rpn_loc: 0.0006538 loss_D_img_s: 3.471e-06 time: 0.8336 last_time: 0.7641 data_time: 0.0232 last_data_time: 0.0139 lr: 0.02 max_mem: 10548M +[04/10 01:14:27] fvcore.common.checkpoint INFO: Saving checkpoint to /DATA/Rajes/Research/output_cat/bmp_rti/model_0019999.pth +[04/10 01:14:29] d2.data.common INFO: Serializing the dataset using: +[04/10 01:14:29] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 01:14:29] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 01:14:29] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 01:14:29] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 01:14:30] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0109 s/iter. Inference: 0.0575 s/iter. Eval: 0.0001 s/iter. Total: 0.0685 s/iter. ETA=0:00:27 +[04/10 01:14:35] d2.evaluation.evaluator INFO: Inference done 83/410. Dataloading: 0.0135 s/iter. Inference: 0.0559 s/iter. Eval: 0.0001 s/iter. Total: 0.0696 s/iter. ETA=0:00:22 +[04/10 01:14:40] d2.evaluation.evaluator INFO: Inference done 154/410. Dataloading: 0.0137 s/iter. Inference: 0.0562 s/iter. Eval: 0.0001 s/iter. Total: 0.0701 s/iter. ETA=0:00:17 +[04/10 01:14:45] d2.evaluation.evaluator INFO: Inference done 223/410. Dataloading: 0.0135 s/iter. Inference: 0.0573 s/iter. Eval: 0.0002 s/iter. Total: 0.0710 s/iter. ETA=0:00:13 +[04/10 01:14:50] d2.evaluation.evaluator INFO: Inference done 296/410. Dataloading: 0.0123 s/iter. Inference: 0.0579 s/iter. Eval: 0.0002 s/iter. Total: 0.0705 s/iter. ETA=0:00:08 +[04/10 01:14:55] d2.evaluation.evaluator INFO: Inference done 372/410. Dataloading: 0.0123 s/iter. Inference: 0.0570 s/iter. Eval: 0.0002 s/iter. Total: 0.0696 s/iter. ETA=0:00:02 +[04/10 01:14:57] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.816518 (0.068683 s / iter per device, on 1 devices) +[04/10 01:14:57] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.056483 s / iter per device, on 1 devices) +[04/10 01:14:57] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 01:14:57] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 01:14:57] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 01:14:57] d2.evaluation.testing INFO: copypaste: 0.4953,2.5740,0.0000 +[04/10 01:14:57] d2.data.common INFO: Serializing the dataset using: +[04/10 01:14:57] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 01:14:57] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 01:14:57] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 01:14:57] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 01:15:00] d2.evaluation.evaluator INFO: Inference done 30/410. Dataloading: 0.0204 s/iter. Inference: 0.0533 s/iter. Eval: 0.0002 s/iter. Total: 0.0739 s/iter. ETA=0:00:28 +[04/10 01:15:05] d2.evaluation.evaluator INFO: Inference done 97/410. Dataloading: 0.0154 s/iter. Inference: 0.0590 s/iter. Eval: 0.0002 s/iter. Total: 0.0747 s/iter. ETA=0:00:23 +[04/10 01:15:10] d2.evaluation.evaluator INFO: Inference done 177/410. Dataloading: 0.0125 s/iter. Inference: 0.0564 s/iter. Eval: 0.0002 s/iter. Total: 0.0692 s/iter. ETA=0:00:16 +[04/10 01:15:15] d2.evaluation.evaluator INFO: Inference done 249/410. Dataloading: 0.0117 s/iter. Inference: 0.0574 s/iter. Eval: 0.0002 s/iter. Total: 0.0694 s/iter. ETA=0:00:11 +[04/10 01:15:20] d2.evaluation.evaluator INFO: Inference done 325/410. Dataloading: 0.0113 s/iter. Inference: 0.0570 s/iter. Eval: 0.0002 s/iter. Total: 0.0686 s/iter. ETA=0:00:05 +[04/10 01:15:25] d2.evaluation.evaluator INFO: Inference done 399/410. Dataloading: 0.0111 s/iter. Inference: 0.0570 s/iter. Eval: 0.0002 s/iter. Total: 0.0685 s/iter. ETA=0:00:00 +[04/10 01:15:26] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.794240 (0.068628 s / iter per device, on 1 devices) +[04/10 01:15:26] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.056936 s / iter per device, on 1 devices) +[04/10 01:15:26] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 01:15:26] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 01:15:26] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 01:15:26] d2.evaluation.testing INFO: copypaste: 0.4416,2.1485,0.0000 +[04/10 01:15:26] d2.utils.events INFO: eta: 6:44:37 iter: 19999 total_loss: 0.01741 loss_cls: 0.004115 loss_box_reg: 0.0123 loss_rpn_cls: 0.0008324 loss_rpn_loc: 0.0006936 loss_D_img_s: 3.625e-06 time: 0.8336 last_time: 0.8281 data_time: 0.0223 last_data_time: 0.0153 lr: 0.02 max_mem: 10548M +[04/10 01:15:28] d2.engine.hooks INFO: Overall training speed: 19998 iterations in 4:37:51 (0.8337 s / it) +[04/10 01:15:28] d2.engine.hooks INFO: Total training time: 4:58:01 (0:20:10 on hooks) +[04/10 01:15:28] d2.utils.events INFO: eta: 6:44:36 iter: 20000 total_loss: 0.01741 loss_cls: 0.004115 loss_box_reg: 0.0123 loss_rpn_cls: 0.0008324 loss_rpn_loc: 0.0006936 loss_D_img_s: 3.625e-06 time: 0.8336 last_time: 0.8281 data_time: 0.0223 last_data_time: 0.0153 lr: 0.02 max_mem: 21918M +[04/10 01:49:24] detectron2 INFO: Rank of current process: 0. World size: 1 +[04/10 01:49:25] detectron2 INFO: Environment info: +------------------------------- ---------------------------------------------------------------------------- +sys.platform linux +Python 3.11.11 (main, Dec 11 2024, 16:28:39) [GCC 11.2.0] +numpy 2.0.1 +detectron2 0.6 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/detectron2 +Compiler GCC 9.4 +CUDA compiler CUDA 12.6 +detectron2 arch flags 8.6 +DETECTRON2_ENV_MODULE +PyTorch 2.5.1 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/torch +PyTorch debug build False +torch._C._GLIBCXX_USE_CXX11_ABI False +GPU available Yes +GPU 0 NVIDIA A10 (arch=8.6) +Driver version 565.57.01 +CUDA_HOME /usr/local/cuda +Pillow 11.0.0 +torchvision 0.20.1 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/torchvision +torchvision arch flags 5.0, 6.0, 7.0, 7.5, 8.0, 8.6, 9.0 +fvcore 0.1.5.post20221221 +iopath 0.1.9 +cv2 4.11.0 +------------------------------- ---------------------------------------------------------------------------- +PyTorch built with: + - GCC 9.3 + - C++ Version: 201703 + - Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v3.5.3 (Git Hash 66f0cb9eb66affd2da3bf5f8d897376f04aae6af) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX512 + - CUDA Runtime 12.4 + - NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90 + - CuDNN 90.1 + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.4, CUDNN_VERSION=9.1.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.5.1, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, + +[04/10 01:49:25] detectron2 INFO: Command line arguments: Namespace(config_file='configs/faster_rcnn_VGG_cross_city.yaml', resume=True, eval_only=False, num_gpus=1, num_machines=1, machine_rank=0, dist_url='tcp://127.0.0.1:50162', opts=['OUTPUT_DIR', '/DATA/Rajes/Research/output_cat/bmp_rti']) +[04/10 01:49:25] detectron2 INFO: Contents of args.config_file=configs/faster_rcnn_VGG_cross_city.yaml: +_BASE_: "./Base-RCNN-C4.yaml" +MODEL: + # META_ARCHITECTURE: "TwoStagePseudoLabGeneralizedRCNN" + META_ARCHITECTURE: "DAobjTwoStagePseudoLabGeneralizedRCNN" + BACKBONE: + NAME: "build_vgg_backbone" + MASK_ON: False + RESNETS: + DEPTH: 101 + PROPOSAL_GENERATOR: + NAME: "PseudoLabRPN" + # RPN: + # POSITIVE_FRACTION: 0.25 + RPN: + IN_FEATURES: ["vgg4"] + ROI_HEADS: + NAME: "StandardROIHeadsPseudoLab" + LOSS: "CrossEntropy" # variant: "CrossEntropy" + NUM_CLASSES: 1 + IN_FEATURES: ["vgg4"] + ROI_BOX_HEAD: + NAME: "FastRCNNConvFCHead" + NUM_FC: 2 + POOLER_RESOLUTION: 7 + PIXEL_MEAN: [123.675, 116.280, 103.530] + PIXEL_STD: [58.395, 57.120, 57.375] +SOLVER: + LR_SCHEDULER_NAME: "WarmupTwoStageMultiStepLR" + STEPS: (60000, 80000, 90000, 360000) + FACTOR_LIST: (1, 1, 1, 1, 1) + MAX_ITER: 50000  + IMG_PER_BATCH_LABEL: 4 + IMG_PER_BATCH_UNLABEL: 4 + BASE_LR: 0.02 +DATALOADER: + SUP_PERCENT: 100.0 +DATASETS: +DATASETS: + CROSS_DATASET: True + TRAIN_LABEL: ("VOC2007_inb_dr_train",) + TRAIN_UNLABEL: ("VOC2007_inb_train",) + TEST: ("VOC2007_inb_test",) +SEMISUPNET: + Trainer: "cat" + BBOX_THRESHOLD: 0.8 + TEACHER_UPDATE_ITER: 1 + BURN_UP_STEP: 20000  + EMA_KEEP_RATE: 0.9996 + UNSUP_LOSS_WEIGHT: 1.0 + SUP_LOSS_WEIGHT: 1.0 + DIS_LOSS_WEIGHT: 0.1 + DIS_TYPE: "vgg4" #["concate","p2","multi"] +TEST: + EVAL_PERIOD: 1000 + +[04/10 01:49:25] detectron2 INFO: Running with full config: +BLOCKED_CLASSES: [] +CLS_LOSS: true +CUDNN_BENCHMARK: false +DATALOADER: + ASPECT_RATIO_GROUPING: true + FILTER_EMPTY_ANNOTATIONS: true + NUM_WORKERS: 4 + RANDOM_DATA_SEED: 0 + RANDOM_DATA_SEED_PATH: dataseed/COCO_supervision.txt + REPEAT_SQRT: true + REPEAT_THRESHOLD: 0.0 + SAMPLER_TRAIN: TrainingSampler + SUP_PERCENT: 100.0 +DATASETS: + CROSS_DATASET: true + PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 + PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 + PROPOSAL_FILES_TEST: [] + PROPOSAL_FILES_TRAIN: [] + TEST: + - VOC2007_inb_test + TRAIN: + - coco_2017_train + TRAIN_LABEL: + - VOC2007_inb_dr_train + TRAIN_UNLABEL: + - VOC2007_inb_train +DIA_LOSS: false +EMAMODEL: + SUP_CONSIST: true +FLOAT32_PRECISION: '' +GLOBAL: + HACK: 1.0 +INPUT: + CROP: + ENABLED: false + SIZE: + - 0.9 + - 0.9 + TYPE: relative_range + FORMAT: BGR + MASK_FORMAT: polygon + MAX_SIZE_TEST: 1333 + MAX_SIZE_TRAIN: 1333 + MIN_SIZE_TEST: 800 + MIN_SIZE_TRAIN: + - 600 + MIN_SIZE_TRAIN_SAMPLING: choice + RANDOM_FLIP: horizontal +KEEP_ASPECT: false +LIMIT_MIX: true +LOG_LOSS: true +LOSS_REG_VAL: 1.0 +MIXUP: true +MIX_RANDOM_CLASSES: false +MIX_RATIO: 0.5 +MODEL: + ANCHOR_GENERATOR: + ANGLES: + - - -90 + - 0 + - 90 + ASPECT_RATIOS: + - - 0.5 + - 1.0 + - 2.0 + NAME: DefaultAnchorGenerator + OFFSET: 0.0 + SIZES: + - - 32 + - 64 + - 128 + - 256 + - 512 + BACKBONE: + FREEZE_AT: 2 + NAME: build_vgg_backbone + DEVICE: cuda + FPN: + FUSE_TYPE: sum + IN_FEATURES: [] + NORM: '' + OUT_CHANNELS: 256 + KEYPOINT_ON: false + LOAD_PROPOSALS: false + MASK_ON: false + META_ARCHITECTURE: DAobjTwoStagePseudoLabGeneralizedRCNN + PANOPTIC_FPN: + COMBINE: + ENABLED: true + INSTANCES_CONFIDENCE_THRESH: 0.5 + OVERLAP_THRESH: 0.5 + STUFF_AREA_LIMIT: 4096 + INSTANCE_LOSS_WEIGHT: 1.0 + PIXEL_MEAN: + - 123.675 + - 116.28 + - 103.53 + PIXEL_STD: + - 58.395 + - 57.12 + - 57.375 + PROPOSAL_GENERATOR: + MIN_SIZE: 0 + NAME: PseudoLabRPN + RESNETS: + DEFORM_MODULATED: false + DEFORM_NUM_GROUPS: 1 + DEFORM_ON_PER_STAGE: + - false + - false + - false + - false + DEPTH: 101 + NORM: FrozenBN + NUM_GROUPS: 1 + OUT_FEATURES: + - res4 + RES2_OUT_CHANNELS: 256 + RES5_DILATION: 1 + STEM_OUT_CHANNELS: 64 + STRIDE_IN_1X1: true + WIDTH_PER_GROUP: 64 + RETINANET: + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_WEIGHTS: &id002 + - 1.0 + - 1.0 + - 1.0 + - 1.0 + FOCAL_LOSS_ALPHA: 0.25 + FOCAL_LOSS_GAMMA: 2.0 + IN_FEATURES: + - p3 + - p4 + - p5 + - p6 + - p7 + IOU_LABELS: + - 0 + - -1 + - 1 + IOU_THRESHOLDS: + - 0.4 + - 0.5 + NMS_THRESH_TEST: 0.5 + NORM: '' + NUM_CLASSES: 80 + NUM_CONVS: 4 + PRIOR_PROB: 0.01 + SCORE_THRESH_TEST: 0.05 + SMOOTH_L1_LOSS_BETA: 0.1 + TOPK_CANDIDATES_TEST: 1000 + ROI_BOX_CASCADE_HEAD: + BBOX_REG_WEIGHTS: + - &id001 + - 10.0 + - 10.0 + - 5.0 + - 5.0 + - - 20.0 + - 20.0 + - 10.0 + - 10.0 + - - 30.0 + - 30.0 + - 15.0 + - 15.0 + IOUS: + - 0.5 + - 0.6 + - 0.7 + ROI_BOX_HEAD: + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_LOSS_WEIGHT: 1.0 + BBOX_REG_WEIGHTS: *id001 + CLS_AGNOSTIC_BBOX_REG: false + CONV_DIM: 256 + FC_DIM: 1024 + FED_LOSS_FREQ_WEIGHT_POWER: 0.5 + FED_LOSS_NUM_CLASSES: 50 + NAME: FastRCNNConvFCHead + NORM: '' + NUM_CONV: 0 + NUM_FC: 2 + POOLER_RESOLUTION: 7 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + SMOOTH_L1_BETA: 0.0 + TRAIN_ON_PRED_BOXES: false + USE_FED_LOSS: false + USE_SIGMOID_CE: false + ROI_HEADS: + BATCH_SIZE_PER_IMAGE: 512 + IN_FEATURES: + - vgg4 + IOU_LABELS: + - 0 + - 1 + IOU_THRESHOLDS: + - 0.5 + LOSS: CrossEntropy + NAME: StandardROIHeadsPseudoLab + NMS_THRESH_TEST: 0.5 + NUM_CLASSES: 1 + POSITIVE_FRACTION: 0.25 + PROPOSAL_APPEND_GT: true + SCORE_THRESH_TEST: 0.05 + ROI_KEYPOINT_HEAD: + CONV_DIMS: + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + LOSS_WEIGHT: 1.0 + MIN_KEYPOINTS_PER_IMAGE: 1 + NAME: KRCNNConvDeconvUpsampleHead + NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true + NUM_KEYPOINTS: 17 + POOLER_RESOLUTION: 14 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + ROI_MASK_HEAD: + CLS_AGNOSTIC_MASK: false + CONV_DIM: 256 + NAME: MaskRCNNConvUpsampleHead + NORM: '' + NUM_CONV: 0 + POOLER_RESOLUTION: 14 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + RPN: + BATCH_SIZE_PER_IMAGE: 256 + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_LOSS_WEIGHT: 1.0 + BBOX_REG_WEIGHTS: *id002 + BOUNDARY_THRESH: -1 + CONV_DIMS: + - -1 + HEAD_NAME: StandardRPNHead + IN_FEATURES: + - vgg4 + IOU_LABELS: + - 0 + - -1 + - 1 + IOU_THRESHOLDS: + - 0.3 + - 0.7 + LOSS: CrossEntropy + LOSS_WEIGHT: 1.0 + NMS_THRESH: 0.7 + POSITIVE_FRACTION: 0.5 + POST_NMS_TOPK_TEST: 1000 + POST_NMS_TOPK_TRAIN: 2000 + PRE_NMS_TOPK_TEST: 6000 + PRE_NMS_TOPK_TRAIN: 12000 + SMOOTH_L1_BETA: 0.0 + UNSUP_LOSS_WEIGHT: 1.0 + SEM_SEG_HEAD: + COMMON_STRIDE: 4 + CONVS_DIM: 128 + IGNORE_VALUE: 255 + IN_FEATURES: + - p2 + - p3 + - p4 + - p5 + LOSS_WEIGHT: 1.0 + NAME: SemSegFPNHead + NORM: GN + NUM_CLASSES: 54 + WEIGHTS: '' +OUTPUT_DIR: /DATA/Rajes/Research/output_cat/bmp_rti +SEED: -1 +SEMISUPNET: + BBOX_THRESHOLD: 0.8 + BURN_UP_STEP: 20000 + DIS_LOSS_WEIGHT: 0.1 + DIS_TYPE: vgg4 + EMA_KEEP_RATE: 0.9996 + LOSS_WEIGHT_TYPE: standard + MLP_DIM: 128 + PSEUDO_BBOX_SAMPLE: thresholding + SUP_LOSS_WEIGHT: 1.0 + TEACHER_UPDATE_ITER: 1 + Trainer: cat + UNSUP_LOSS_WEIGHT: 1.0 +SOLVER: + AMP: + ENABLED: false + BASE_LR: 0.02 + BASE_LR_END: 0.0 + BIAS_LR_FACTOR: 1.0 + CHECKPOINT_PERIOD: 5000 + CLIP_GRADIENTS: + CLIP_TYPE: value + CLIP_VALUE: 1.0 + ENABLED: false + NORM_TYPE: 2.0 + FACTOR_LIST: + - 1 + - 1 + - 1 + - 1 + - 1 + GAMMA: 0.1 + IMG_PER_BATCH_LABEL: 4 + IMG_PER_BATCH_UNLABEL: 4 + IMS_PER_BATCH: 16 + LR_SCHEDULER_NAME: WarmupTwoStageMultiStepLR + MAX_ITER: 50000 + MOMENTUM: 0.9 + NESTEROV: false + NUM_DECAYS: 3 + REFERENCE_WORLD_SIZE: 0 + RESCALE_INTERVAL: false + STEPS: + - 60000 + - 80000 + - 90000 + - 360000 + WARMUP_FACTOR: 0.001 + WARMUP_ITERS: 1000 + WARMUP_METHOD: linear + WEIGHT_DECAY: 0.0001 + WEIGHT_DECAY_BIAS: null + WEIGHT_DECAY_NORM: 0.0 +TARGET_BBOX: false +TEST: + AUG: + ENABLED: false + FLIP: true + MAX_SIZE: 4000 + MIN_SIZES: + - 400 + - 500 + - 600 + - 700 + - 800 + - 900 + - 1000 + - 1100 + - 1200 + DETECTIONS_PER_IMAGE: 100 + EVALUATOR: COCOeval + EVAL_PERIOD: 1000 + EXPECTED_RESULTS: [] + KEYPOINT_OKS_SIGMAS: [] + PRECISE_BN: + ENABLED: false + NUM_ITER: 200 + VAL_LOSS: true +VERSION: 2 +VIS_PERIOD: 0 + +[04/10 01:49:25] detectron2 INFO: Full config saved to /DATA/Rajes/Research/output_cat/bmp_rti/config.yaml +[04/10 01:49:25] d2.utils.env INFO: Using a generated random seed 26213455 +[04/10 01:49:25] d2.data.build INFO: Removed 98 images with no usable annotations. 188 images left. +[04/10 01:49:25] d2.data.build INFO: Distribution of instances among all 1 categories: +| category | #instances | +|:----------:|:-------------| +| mal | 188 | +| | | +[04/10 01:49:25] d2.data.build INFO: Distribution of instances among all 1 categories: +| category | #instances | +|:----------:|:-------------| +| mal | 62 | +| | | +[04/10 01:49:25] d2.data.common INFO: Serializing the dataset using: +[04/10 01:49:25] d2.data.common INFO: Serializing 188 elements to byte tensors and concatenating them all ... +[04/10 01:49:25] d2.data.common INFO: Serialized dataset takes 0.10 MiB +[04/10 01:49:25] d2.data.common INFO: Serializing the dataset using: +[04/10 01:49:25] d2.data.common INFO: Serializing 286 elements to byte tensors and concatenating them all ... +[04/10 01:49:25] d2.data.common INFO: Serialized dataset takes 0.13 MiB +[04/10 01:49:27] d2.engine.defaults INFO: Model: +DAobjTwoStagePseudoLabGeneralizedRCNN( + (backbone): vgg_backbone( + (vgg0): Sequential( + (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg1): Sequential( + (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg2): Sequential( + (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg3): Sequential( + (0): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg4): Sequential( + (0): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + ) + (proposal_generator): PseudoLabRPN( + (rpn_head): StandardRPNHead( + (conv): Conv2d( + 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) + (activation): ReLU() + ) + (objectness_logits): Conv2d(512, 15, kernel_size=(1, 1), stride=(1, 1)) + (anchor_deltas): Conv2d(512, 60, kernel_size=(1, 1), stride=(1, 1)) + ) + (anchor_generator): DefaultAnchorGenerator( + (cell_anchors): BufferList() + ) + ) + (roi_heads): StandardROIHeadsPseudoLab( + (box_pooler): ROIPooler( + (level_poolers): ModuleList( + (0): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) + ) + ) + (box_head): FastRCNNConvFCHead( + (flatten): Flatten(start_dim=1, end_dim=-1) + (fc1): Linear(in_features=25088, out_features=1024, bias=True) + (fc_relu1): ReLU() + (fc2): Linear(in_features=1024, out_features=1024, bias=True) + (fc_relu2): ReLU() + ) + (box_predictor): FastRCNNOutputLayers( + (cls_score): Linear(in_features=1024, out_features=2, bias=True) + (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) + ) + ) + (D_img): FCDiscriminator_img( + (conv1): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv2): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (classifier): Conv2d(128, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (leaky_relu): LeakyReLU(negative_slope=0.2, inplace=True) + ) +) +[04/10 01:49:28] d2.engine.defaults INFO: Model: +DAobjTwoStagePseudoLabGeneralizedRCNN( + (backbone): vgg_backbone( + (vgg0): Sequential( + (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg1): Sequential( + (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg2): Sequential( + (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg3): Sequential( + (0): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg4): Sequential( + (0): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + ) + (proposal_generator): PseudoLabRPN( + (rpn_head): StandardRPNHead( + (conv): Conv2d( + 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) + (activation): ReLU() + ) + (objectness_logits): Conv2d(512, 15, kernel_size=(1, 1), stride=(1, 1)) + (anchor_deltas): Conv2d(512, 60, kernel_size=(1, 1), stride=(1, 1)) + ) + (anchor_generator): DefaultAnchorGenerator( + (cell_anchors): BufferList() + ) + ) + (roi_heads): StandardROIHeadsPseudoLab( + (box_pooler): ROIPooler( + (level_poolers): ModuleList( + (0): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) + ) + ) + (box_head): FastRCNNConvFCHead( + (flatten): Flatten(start_dim=1, end_dim=-1) + (fc1): Linear(in_features=25088, out_features=1024, bias=True) + (fc_relu1): ReLU() + (fc2): Linear(in_features=1024, out_features=1024, bias=True) + (fc_relu2): ReLU() + ) + (box_predictor): FastRCNNOutputLayers( + (cls_score): Linear(in_features=1024, out_features=2, bias=True) + (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) + ) + ) + (D_img): FCDiscriminator_img( + (conv1): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv2): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (classifier): Conv2d(128, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (leaky_relu): LeakyReLU(negative_slope=0.2, inplace=True) + ) +) +[04/10 01:49:28] d2.checkpoint.detection_checkpoint INFO: [DetectionCheckpointer] Loading from /DATA/Rajes/Research/output_cat/bmp_rti/model_0019999.pth ... +[04/10 01:49:28] fvcore.common.checkpoint INFO: [Checkpointer] Loading from /DATA/Rajes/Research/output_cat/bmp_rti/model_0019999.pth ... +[04/10 01:49:29] fvcore.common.checkpoint INFO: Loading optimizer from /DATA/Rajes/Research/output_cat/bmp_rti/model_0019999.pth ... +[04/10 01:49:29] fvcore.common.checkpoint INFO: Loading scheduler from /DATA/Rajes/Research/output_cat/bmp_rti/model_0019999.pth ... +[04/10 01:49:33] d2.engine.hooks INFO: Total training time: 0:00:03 (0:00:00 on hooks) +[04/10 01:49:33] d2.utils.events INFO: iter: 20000 lr: N/A max_mem: 3320M +[04/10 01:50:43] detectron2 INFO: Rank of current process: 0. World size: 1 +[04/10 01:50:44] detectron2 INFO: Environment info: +------------------------------- ---------------------------------------------------------------------------- +sys.platform linux +Python 3.11.11 (main, Dec 11 2024, 16:28:39) [GCC 11.2.0] +numpy 2.0.1 +detectron2 0.6 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/detectron2 +Compiler GCC 9.4 +CUDA compiler CUDA 12.6 +detectron2 arch flags 8.6 +DETECTRON2_ENV_MODULE +PyTorch 2.5.1 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/torch +PyTorch debug build False +torch._C._GLIBCXX_USE_CXX11_ABI False +GPU available Yes +GPU 0 NVIDIA A10 (arch=8.6) +Driver version 565.57.01 +CUDA_HOME /usr/local/cuda +Pillow 11.0.0 +torchvision 0.20.1 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/torchvision +torchvision arch flags 5.0, 6.0, 7.0, 7.5, 8.0, 8.6, 9.0 +fvcore 0.1.5.post20221221 +iopath 0.1.9 +cv2 4.11.0 +------------------------------- ---------------------------------------------------------------------------- +PyTorch built with: + - GCC 9.3 + - C++ Version: 201703 + - Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v3.5.3 (Git Hash 66f0cb9eb66affd2da3bf5f8d897376f04aae6af) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX512 + - CUDA Runtime 12.4 + - NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90 + - CuDNN 90.1 + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.4, CUDNN_VERSION=9.1.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.5.1, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, + +[04/10 01:50:44] detectron2 INFO: Command line arguments: Namespace(config_file='configs/faster_rcnn_VGG_cross_city.yaml', resume=True, eval_only=False, num_gpus=1, num_machines=1, machine_rank=0, dist_url='tcp://127.0.0.1:50162', opts=['OUTPUT_DIR', '/DATA/Rajes/Research/output_cat/bmp_rti']) +[04/10 01:50:44] detectron2 INFO: Contents of args.config_file=configs/faster_rcnn_VGG_cross_city.yaml: +_BASE_: "./Base-RCNN-C4.yaml" +MODEL: + # META_ARCHITECTURE: "TwoStagePseudoLabGeneralizedRCNN" + META_ARCHITECTURE: "DAobjTwoStagePseudoLabGeneralizedRCNN" + BACKBONE: + NAME: "build_vgg_backbone" + MASK_ON: False + RESNETS: + DEPTH: 101 + PROPOSAL_GENERATOR: + NAME: "PseudoLabRPN" + # RPN: + # POSITIVE_FRACTION: 0.25 + RPN: + IN_FEATURES: ["vgg4"] + ROI_HEADS: + NAME: "StandardROIHeadsPseudoLab" + LOSS: "CrossEntropy" # variant: "CrossEntropy" + NUM_CLASSES: 1 + IN_FEATURES: ["vgg4"] + ROI_BOX_HEAD: + NAME: "FastRCNNConvFCHead" + NUM_FC: 2 + POOLER_RESOLUTION: 7 + PIXEL_MEAN: [123.675, 116.280, 103.530] + PIXEL_STD: [58.395, 57.120, 57.375] +SOLVER: + LR_SCHEDULER_NAME: "WarmupTwoStageMultiStepLR" + STEPS: (60000, 80000, 90000, 360000) + FACTOR_LIST: (1, 1, 1, 1, 1) + MAX_ITER: 50000  + IMG_PER_BATCH_LABEL: 2 + IMG_PER_BATCH_UNLABEL: 2 + BASE_LR: 0.01 +DATALOADER: + SUP_PERCENT: 100.0 +DATASETS: +DATASETS: + CROSS_DATASET: True + TRAIN_LABEL: ("VOC2007_inb_dr_train",) + TRAIN_UNLABEL: ("VOC2007_inb_train",) + TEST: ("VOC2007_inb_test",) +SEMISUPNET: + Trainer: "cat" + BBOX_THRESHOLD: 0.8 + TEACHER_UPDATE_ITER: 1 + BURN_UP_STEP: 20000  + EMA_KEEP_RATE: 0.9996 + UNSUP_LOSS_WEIGHT: 1.0 + SUP_LOSS_WEIGHT: 1.0 + DIS_LOSS_WEIGHT: 0.1 + DIS_TYPE: "vgg4" #["concate","p2","multi"] +TEST: + EVAL_PERIOD: 1000 + +[04/10 01:50:44] detectron2 INFO: Running with full config: +BLOCKED_CLASSES: [] +CLS_LOSS: true +CUDNN_BENCHMARK: false +DATALOADER: + ASPECT_RATIO_GROUPING: true + FILTER_EMPTY_ANNOTATIONS: true + NUM_WORKERS: 4 + RANDOM_DATA_SEED: 0 + RANDOM_DATA_SEED_PATH: dataseed/COCO_supervision.txt + REPEAT_SQRT: true + REPEAT_THRESHOLD: 0.0 + SAMPLER_TRAIN: TrainingSampler + SUP_PERCENT: 100.0 +DATASETS: + CROSS_DATASET: true + PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 + PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 + PROPOSAL_FILES_TEST: [] + PROPOSAL_FILES_TRAIN: [] + TEST: + - VOC2007_inb_test + TRAIN: + - coco_2017_train + TRAIN_LABEL: + - VOC2007_inb_dr_train + TRAIN_UNLABEL: + - VOC2007_inb_train +DIA_LOSS: false +EMAMODEL: + SUP_CONSIST: true +FLOAT32_PRECISION: '' +GLOBAL: + HACK: 1.0 +INPUT: + CROP: + ENABLED: false + SIZE: + - 0.9 + - 0.9 + TYPE: relative_range + FORMAT: BGR + MASK_FORMAT: polygon + MAX_SIZE_TEST: 1333 + MAX_SIZE_TRAIN: 1333 + MIN_SIZE_TEST: 800 + MIN_SIZE_TRAIN: + - 600 + MIN_SIZE_TRAIN_SAMPLING: choice + RANDOM_FLIP: horizontal +KEEP_ASPECT: false +LIMIT_MIX: true +LOG_LOSS: true +LOSS_REG_VAL: 1.0 +MIXUP: true +MIX_RANDOM_CLASSES: false +MIX_RATIO: 0.5 +MODEL: + ANCHOR_GENERATOR: + ANGLES: + - - -90 + - 0 + - 90 + ASPECT_RATIOS: + - - 0.5 + - 1.0 + - 2.0 + NAME: DefaultAnchorGenerator + OFFSET: 0.0 + SIZES: + - - 32 + - 64 + - 128 + - 256 + - 512 + BACKBONE: + FREEZE_AT: 2 + NAME: build_vgg_backbone + DEVICE: cuda + FPN: + FUSE_TYPE: sum + IN_FEATURES: [] + NORM: '' + OUT_CHANNELS: 256 + KEYPOINT_ON: false + LOAD_PROPOSALS: false + MASK_ON: false + META_ARCHITECTURE: DAobjTwoStagePseudoLabGeneralizedRCNN + PANOPTIC_FPN: + COMBINE: + ENABLED: true + INSTANCES_CONFIDENCE_THRESH: 0.5 + OVERLAP_THRESH: 0.5 + STUFF_AREA_LIMIT: 4096 + INSTANCE_LOSS_WEIGHT: 1.0 + PIXEL_MEAN: + - 123.675 + - 116.28 + - 103.53 + PIXEL_STD: + - 58.395 + - 57.12 + - 57.375 + PROPOSAL_GENERATOR: + MIN_SIZE: 0 + NAME: PseudoLabRPN + RESNETS: + DEFORM_MODULATED: false + DEFORM_NUM_GROUPS: 1 + DEFORM_ON_PER_STAGE: + - false + - false + - false + - false + DEPTH: 101 + NORM: FrozenBN + NUM_GROUPS: 1 + OUT_FEATURES: + - res4 + RES2_OUT_CHANNELS: 256 + RES5_DILATION: 1 + STEM_OUT_CHANNELS: 64 + STRIDE_IN_1X1: true + WIDTH_PER_GROUP: 64 + RETINANET: + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_WEIGHTS: &id002 + - 1.0 + - 1.0 + - 1.0 + - 1.0 + FOCAL_LOSS_ALPHA: 0.25 + FOCAL_LOSS_GAMMA: 2.0 + IN_FEATURES: + - p3 + - p4 + - p5 + - p6 + - p7 + IOU_LABELS: + - 0 + - -1 + - 1 + IOU_THRESHOLDS: + - 0.4 + - 0.5 + NMS_THRESH_TEST: 0.5 + NORM: '' + NUM_CLASSES: 80 + NUM_CONVS: 4 + PRIOR_PROB: 0.01 + SCORE_THRESH_TEST: 0.05 + SMOOTH_L1_LOSS_BETA: 0.1 + TOPK_CANDIDATES_TEST: 1000 + ROI_BOX_CASCADE_HEAD: + BBOX_REG_WEIGHTS: + - &id001 + - 10.0 + - 10.0 + - 5.0 + - 5.0 + - - 20.0 + - 20.0 + - 10.0 + - 10.0 + - - 30.0 + - 30.0 + - 15.0 + - 15.0 + IOUS: + - 0.5 + - 0.6 + - 0.7 + ROI_BOX_HEAD: + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_LOSS_WEIGHT: 1.0 + BBOX_REG_WEIGHTS: *id001 + CLS_AGNOSTIC_BBOX_REG: false + CONV_DIM: 256 + FC_DIM: 1024 + FED_LOSS_FREQ_WEIGHT_POWER: 0.5 + FED_LOSS_NUM_CLASSES: 50 + NAME: FastRCNNConvFCHead + NORM: '' + NUM_CONV: 0 + NUM_FC: 2 + POOLER_RESOLUTION: 7 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + SMOOTH_L1_BETA: 0.0 + TRAIN_ON_PRED_BOXES: false + USE_FED_LOSS: false + USE_SIGMOID_CE: false + ROI_HEADS: + BATCH_SIZE_PER_IMAGE: 512 + IN_FEATURES: + - vgg4 + IOU_LABELS: + - 0 + - 1 + IOU_THRESHOLDS: + - 0.5 + LOSS: CrossEntropy + NAME: StandardROIHeadsPseudoLab + NMS_THRESH_TEST: 0.5 + NUM_CLASSES: 1 + POSITIVE_FRACTION: 0.25 + PROPOSAL_APPEND_GT: true + SCORE_THRESH_TEST: 0.05 + ROI_KEYPOINT_HEAD: + CONV_DIMS: + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + LOSS_WEIGHT: 1.0 + MIN_KEYPOINTS_PER_IMAGE: 1 + NAME: KRCNNConvDeconvUpsampleHead + NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true + NUM_KEYPOINTS: 17 + POOLER_RESOLUTION: 14 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + ROI_MASK_HEAD: + CLS_AGNOSTIC_MASK: false + CONV_DIM: 256 + NAME: MaskRCNNConvUpsampleHead + NORM: '' + NUM_CONV: 0 + POOLER_RESOLUTION: 14 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + RPN: + BATCH_SIZE_PER_IMAGE: 256 + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_LOSS_WEIGHT: 1.0 + BBOX_REG_WEIGHTS: *id002 + BOUNDARY_THRESH: -1 + CONV_DIMS: + - -1 + HEAD_NAME: StandardRPNHead + IN_FEATURES: + - vgg4 + IOU_LABELS: + - 0 + - -1 + - 1 + IOU_THRESHOLDS: + - 0.3 + - 0.7 + LOSS: CrossEntropy + LOSS_WEIGHT: 1.0 + NMS_THRESH: 0.7 + POSITIVE_FRACTION: 0.5 + POST_NMS_TOPK_TEST: 1000 + POST_NMS_TOPK_TRAIN: 2000 + PRE_NMS_TOPK_TEST: 6000 + PRE_NMS_TOPK_TRAIN: 12000 + SMOOTH_L1_BETA: 0.0 + UNSUP_LOSS_WEIGHT: 1.0 + SEM_SEG_HEAD: + COMMON_STRIDE: 4 + CONVS_DIM: 128 + IGNORE_VALUE: 255 + IN_FEATURES: + - p2 + - p3 + - p4 + - p5 + LOSS_WEIGHT: 1.0 + NAME: SemSegFPNHead + NORM: GN + NUM_CLASSES: 54 + WEIGHTS: '' +OUTPUT_DIR: /DATA/Rajes/Research/output_cat/bmp_rti +SEED: -1 +SEMISUPNET: + BBOX_THRESHOLD: 0.8 + BURN_UP_STEP: 20000 + DIS_LOSS_WEIGHT: 0.1 + DIS_TYPE: vgg4 + EMA_KEEP_RATE: 0.9996 + LOSS_WEIGHT_TYPE: standard + MLP_DIM: 128 + PSEUDO_BBOX_SAMPLE: thresholding + SUP_LOSS_WEIGHT: 1.0 + TEACHER_UPDATE_ITER: 1 + Trainer: cat + UNSUP_LOSS_WEIGHT: 1.0 +SOLVER: + AMP: + ENABLED: false + BASE_LR: 0.01 + BASE_LR_END: 0.0 + BIAS_LR_FACTOR: 1.0 + CHECKPOINT_PERIOD: 5000 + CLIP_GRADIENTS: + CLIP_TYPE: value + CLIP_VALUE: 1.0 + ENABLED: false + NORM_TYPE: 2.0 + FACTOR_LIST: + - 1 + - 1 + - 1 + - 1 + - 1 + GAMMA: 0.1 + IMG_PER_BATCH_LABEL: 2 + IMG_PER_BATCH_UNLABEL: 2 + IMS_PER_BATCH: 16 + LR_SCHEDULER_NAME: WarmupTwoStageMultiStepLR + MAX_ITER: 50000 + MOMENTUM: 0.9 + NESTEROV: false + NUM_DECAYS: 3 + REFERENCE_WORLD_SIZE: 0 + RESCALE_INTERVAL: false + STEPS: + - 60000 + - 80000 + - 90000 + - 360000 + WARMUP_FACTOR: 0.001 + WARMUP_ITERS: 1000 + WARMUP_METHOD: linear + WEIGHT_DECAY: 0.0001 + WEIGHT_DECAY_BIAS: null + WEIGHT_DECAY_NORM: 0.0 +TARGET_BBOX: false +TEST: + AUG: + ENABLED: false + FLIP: true + MAX_SIZE: 4000 + MIN_SIZES: + - 400 + - 500 + - 600 + - 700 + - 800 + - 900 + - 1000 + - 1100 + - 1200 + DETECTIONS_PER_IMAGE: 100 + EVALUATOR: COCOeval + EVAL_PERIOD: 1000 + EXPECTED_RESULTS: [] + KEYPOINT_OKS_SIGMAS: [] + PRECISE_BN: + ENABLED: false + NUM_ITER: 200 + VAL_LOSS: true +VERSION: 2 +VIS_PERIOD: 0 + +[04/10 01:50:44] detectron2 INFO: Full config saved to /DATA/Rajes/Research/output_cat/bmp_rti/config.yaml +[04/10 01:50:45] d2.utils.env INFO: Using a generated random seed 46031473 +[04/10 01:50:45] d2.data.build INFO: Removed 98 images with no usable annotations. 188 images left. +[04/10 01:50:45] d2.data.build INFO: Distribution of instances among all 1 categories: +| category | #instances | +|:----------:|:-------------| +| mal | 188 | +| | | +[04/10 01:50:45] d2.data.build INFO: Distribution of instances among all 1 categories: +| category | #instances | +|:----------:|:-------------| +| mal | 62 | +| | | +[04/10 01:50:45] d2.data.common INFO: Serializing the dataset using: +[04/10 01:50:45] d2.data.common INFO: Serializing 188 elements to byte tensors and concatenating them all ... +[04/10 01:50:45] d2.data.common INFO: Serialized dataset takes 0.10 MiB +[04/10 01:50:45] d2.data.common INFO: Serializing the dataset using: +[04/10 01:50:45] d2.data.common INFO: Serializing 286 elements to byte tensors and concatenating them all ... +[04/10 01:50:45] d2.data.common INFO: Serialized dataset takes 0.13 MiB +[04/10 01:50:46] d2.engine.defaults INFO: Model: +DAobjTwoStagePseudoLabGeneralizedRCNN( + (backbone): vgg_backbone( + (vgg0): Sequential( + (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg1): Sequential( + (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg2): Sequential( + (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg3): Sequential( + (0): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg4): Sequential( + (0): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + ) + (proposal_generator): PseudoLabRPN( + (rpn_head): StandardRPNHead( + (conv): Conv2d( + 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) + (activation): ReLU() + ) + (objectness_logits): Conv2d(512, 15, kernel_size=(1, 1), stride=(1, 1)) + (anchor_deltas): Conv2d(512, 60, kernel_size=(1, 1), stride=(1, 1)) + ) + (anchor_generator): DefaultAnchorGenerator( + (cell_anchors): BufferList() + ) + ) + (roi_heads): StandardROIHeadsPseudoLab( + (box_pooler): ROIPooler( + (level_poolers): ModuleList( + (0): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) + ) + ) + (box_head): FastRCNNConvFCHead( + (flatten): Flatten(start_dim=1, end_dim=-1) + (fc1): Linear(in_features=25088, out_features=1024, bias=True) + (fc_relu1): ReLU() + (fc2): Linear(in_features=1024, out_features=1024, bias=True) + (fc_relu2): ReLU() + ) + (box_predictor): FastRCNNOutputLayers( + (cls_score): Linear(in_features=1024, out_features=2, bias=True) + (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) + ) + ) + (D_img): FCDiscriminator_img( + (conv1): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv2): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (classifier): Conv2d(128, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (leaky_relu): LeakyReLU(negative_slope=0.2, inplace=True) + ) +) +[04/10 01:50:48] d2.engine.defaults INFO: Model: +DAobjTwoStagePseudoLabGeneralizedRCNN( + (backbone): vgg_backbone( + (vgg0): Sequential( + (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg1): Sequential( + (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg2): Sequential( + (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg3): Sequential( + (0): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg4): Sequential( + (0): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + ) + (proposal_generator): PseudoLabRPN( + (rpn_head): StandardRPNHead( + (conv): Conv2d( + 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) + (activation): ReLU() + ) + (objectness_logits): Conv2d(512, 15, kernel_size=(1, 1), stride=(1, 1)) + (anchor_deltas): Conv2d(512, 60, kernel_size=(1, 1), stride=(1, 1)) + ) + (anchor_generator): DefaultAnchorGenerator( + (cell_anchors): BufferList() + ) + ) + (roi_heads): StandardROIHeadsPseudoLab( + (box_pooler): ROIPooler( + (level_poolers): ModuleList( + (0): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) + ) + ) + (box_head): FastRCNNConvFCHead( + (flatten): Flatten(start_dim=1, end_dim=-1) + (fc1): Linear(in_features=25088, out_features=1024, bias=True) + (fc_relu1): ReLU() + (fc2): Linear(in_features=1024, out_features=1024, bias=True) + (fc_relu2): ReLU() + ) + (box_predictor): FastRCNNOutputLayers( + (cls_score): Linear(in_features=1024, out_features=2, bias=True) + (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) + ) + ) + (D_img): FCDiscriminator_img( + (conv1): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv2): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (classifier): Conv2d(128, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (leaky_relu): LeakyReLU(negative_slope=0.2, inplace=True) + ) +) +[04/10 01:50:48] d2.checkpoint.detection_checkpoint INFO: [DetectionCheckpointer] Loading from /DATA/Rajes/Research/output_cat/bmp_rti/model_0019999.pth ... +[04/10 01:50:48] fvcore.common.checkpoint INFO: [Checkpointer] Loading from /DATA/Rajes/Research/output_cat/bmp_rti/model_0019999.pth ... +[04/10 01:50:48] fvcore.common.checkpoint INFO: Loading optimizer from /DATA/Rajes/Research/output_cat/bmp_rti/model_0019999.pth ... +[04/10 01:50:49] fvcore.common.checkpoint INFO: Loading scheduler from /DATA/Rajes/Research/output_cat/bmp_rti/model_0019999.pth ... +[04/10 01:50:51] d2.engine.hooks INFO: Total training time: 0:00:02 (0:00:00 on hooks) +[04/10 01:50:51] d2.utils.events INFO: iter: 20000 lr: N/A max_mem: 3816M +[04/10 01:54:36] detectron2 INFO: Rank of current process: 0. World size: 1 +[04/10 01:54:37] detectron2 INFO: Environment info: +------------------------------- ---------------------------------------------------------------------------- +sys.platform linux +Python 3.11.11 (main, Dec 11 2024, 16:28:39) [GCC 11.2.0] +numpy 2.0.1 +detectron2 0.6 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/detectron2 +Compiler GCC 9.4 +CUDA compiler CUDA 12.6 +detectron2 arch flags 8.6 +DETECTRON2_ENV_MODULE +PyTorch 2.5.1 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/torch +PyTorch debug build False +torch._C._GLIBCXX_USE_CXX11_ABI False +GPU available Yes +GPU 0 NVIDIA A10 (arch=8.6) +Driver version 565.57.01 +CUDA_HOME /usr/local/cuda +Pillow 11.0.0 +torchvision 0.20.1 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/torchvision +torchvision arch flags 5.0, 6.0, 7.0, 7.5, 8.0, 8.6, 9.0 +fvcore 0.1.5.post20221221 +iopath 0.1.9 +cv2 4.11.0 +------------------------------- ---------------------------------------------------------------------------- +PyTorch built with: + - GCC 9.3 + - C++ Version: 201703 + - Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v3.5.3 (Git Hash 66f0cb9eb66affd2da3bf5f8d897376f04aae6af) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX512 + - CUDA Runtime 12.4 + - NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90 + - CuDNN 90.1 + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.4, CUDNN_VERSION=9.1.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.5.1, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, + +[04/10 01:54:37] detectron2 INFO: Command line arguments: Namespace(config_file='configs/faster_rcnn_VGG_cross_city.yaml', resume=False, eval_only=False, num_gpus=1, num_machines=1, machine_rank=0, dist_url='tcp://127.0.0.1:50162', opts=['OUTPUT_DIR', '/DATA/Rajes/Research/output_cat/bmp_rti']) +[04/10 01:54:37] detectron2 INFO: Contents of args.config_file=configs/faster_rcnn_VGG_cross_city.yaml: +_BASE_: "./Base-RCNN-C4.yaml" +MODEL: + # META_ARCHITECTURE: "TwoStagePseudoLabGeneralizedRCNN" + META_ARCHITECTURE: "DAobjTwoStagePseudoLabGeneralizedRCNN" + BACKBONE: + NAME: "build_vgg_backbone" + MASK_ON: False + RESNETS: + DEPTH: 101 + PROPOSAL_GENERATOR: + NAME: "PseudoLabRPN" + # RPN: + # POSITIVE_FRACTION: 0.25 + RPN: + IN_FEATURES: ["vgg4"] + ROI_HEADS: + NAME: "StandardROIHeadsPseudoLab" + LOSS: "CrossEntropy" # variant: "CrossEntropy" + NUM_CLASSES: 1 + IN_FEATURES: ["vgg4"] + ROI_BOX_HEAD: + NAME: "FastRCNNConvFCHead" + NUM_FC: 2 + POOLER_RESOLUTION: 7 + PIXEL_MEAN: [123.675, 116.280, 103.530] + PIXEL_STD: [58.395, 57.120, 57.375] +SOLVER: + LR_SCHEDULER_NAME: "WarmupTwoStageMultiStepLR" + STEPS: (60000, 80000, 90000, 360000) + FACTOR_LIST: (1, 1, 1, 1, 1) + MAX_ITER: 50000  + IMG_PER_BATCH_LABEL: 2 + IMG_PER_BATCH_UNLABEL: 2 + BASE_LR: 0.01 +DATALOADER: + SUP_PERCENT: 100.0 +DATASETS: +DATASETS: + CROSS_DATASET: True + TRAIN_LABEL: ("VOC2007_inb_dr_train",) + TRAIN_UNLABEL: ("VOC2007_inb_train",) + TEST: ("VOC2007_inb_test",) +SEMISUPNET: + Trainer: "cat" + BBOX_THRESHOLD: 0.8 + TEACHER_UPDATE_ITER: 1 + BURN_UP_STEP: 20000  + EMA_KEEP_RATE: 0.9996 + UNSUP_LOSS_WEIGHT: 1.0 + SUP_LOSS_WEIGHT: 1.0 + DIS_LOSS_WEIGHT: 0.1 + DIS_TYPE: "vgg4" #["concate","p2","multi"] +TEST: + EVAL_PERIOD: 1000 + +[04/10 01:54:37] detectron2 INFO: Running with full config: +BLOCKED_CLASSES: [] +CLS_LOSS: true +CUDNN_BENCHMARK: false +DATALOADER: + ASPECT_RATIO_GROUPING: true + FILTER_EMPTY_ANNOTATIONS: true + NUM_WORKERS: 4 + RANDOM_DATA_SEED: 0 + RANDOM_DATA_SEED_PATH: dataseed/COCO_supervision.txt + REPEAT_SQRT: true + REPEAT_THRESHOLD: 0.0 + SAMPLER_TRAIN: TrainingSampler + SUP_PERCENT: 100.0 +DATASETS: + CROSS_DATASET: true + PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 + PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 + PROPOSAL_FILES_TEST: [] + PROPOSAL_FILES_TRAIN: [] + TEST: + - VOC2007_inb_test + TRAIN: + - coco_2017_train + TRAIN_LABEL: + - VOC2007_inb_dr_train + TRAIN_UNLABEL: + - VOC2007_inb_train +DIA_LOSS: false +EMAMODEL: + SUP_CONSIST: true +FLOAT32_PRECISION: '' +GLOBAL: + HACK: 1.0 +INPUT: + CROP: + ENABLED: false + SIZE: + - 0.9 + - 0.9 + TYPE: relative_range + FORMAT: BGR + MASK_FORMAT: polygon + MAX_SIZE_TEST: 1333 + MAX_SIZE_TRAIN: 1333 + MIN_SIZE_TEST: 800 + MIN_SIZE_TRAIN: + - 600 + MIN_SIZE_TRAIN_SAMPLING: choice + RANDOM_FLIP: horizontal +KEEP_ASPECT: false +LIMIT_MIX: true +LOG_LOSS: true +LOSS_REG_VAL: 1.0 +MIXUP: true +MIX_RANDOM_CLASSES: false +MIX_RATIO: 0.5 +MODEL: + ANCHOR_GENERATOR: + ANGLES: + - - -90 + - 0 + - 90 + ASPECT_RATIOS: + - - 0.5 + - 1.0 + - 2.0 + NAME: DefaultAnchorGenerator + OFFSET: 0.0 + SIZES: + - - 32 + - 64 + - 128 + - 256 + - 512 + BACKBONE: + FREEZE_AT: 2 + NAME: build_vgg_backbone + DEVICE: cuda + FPN: + FUSE_TYPE: sum + IN_FEATURES: [] + NORM: '' + OUT_CHANNELS: 256 + KEYPOINT_ON: false + LOAD_PROPOSALS: false + MASK_ON: false + META_ARCHITECTURE: DAobjTwoStagePseudoLabGeneralizedRCNN + PANOPTIC_FPN: + COMBINE: + ENABLED: true + INSTANCES_CONFIDENCE_THRESH: 0.5 + OVERLAP_THRESH: 0.5 + STUFF_AREA_LIMIT: 4096 + INSTANCE_LOSS_WEIGHT: 1.0 + PIXEL_MEAN: + - 123.675 + - 116.28 + - 103.53 + PIXEL_STD: + - 58.395 + - 57.12 + - 57.375 + PROPOSAL_GENERATOR: + MIN_SIZE: 0 + NAME: PseudoLabRPN + RESNETS: + DEFORM_MODULATED: false + DEFORM_NUM_GROUPS: 1 + DEFORM_ON_PER_STAGE: + - false + - false + - false + - false + DEPTH: 101 + NORM: FrozenBN + NUM_GROUPS: 1 + OUT_FEATURES: + - res4 + RES2_OUT_CHANNELS: 256 + RES5_DILATION: 1 + STEM_OUT_CHANNELS: 64 + STRIDE_IN_1X1: true + WIDTH_PER_GROUP: 64 + RETINANET: + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_WEIGHTS: &id002 + - 1.0 + - 1.0 + - 1.0 + - 1.0 + FOCAL_LOSS_ALPHA: 0.25 + FOCAL_LOSS_GAMMA: 2.0 + IN_FEATURES: + - p3 + - p4 + - p5 + - p6 + - p7 + IOU_LABELS: + - 0 + - -1 + - 1 + IOU_THRESHOLDS: + - 0.4 + - 0.5 + NMS_THRESH_TEST: 0.5 + NORM: '' + NUM_CLASSES: 80 + NUM_CONVS: 4 + PRIOR_PROB: 0.01 + SCORE_THRESH_TEST: 0.05 + SMOOTH_L1_LOSS_BETA: 0.1 + TOPK_CANDIDATES_TEST: 1000 + ROI_BOX_CASCADE_HEAD: + BBOX_REG_WEIGHTS: + - &id001 + - 10.0 + - 10.0 + - 5.0 + - 5.0 + - - 20.0 + - 20.0 + - 10.0 + - 10.0 + - - 30.0 + - 30.0 + - 15.0 + - 15.0 + IOUS: + - 0.5 + - 0.6 + - 0.7 + ROI_BOX_HEAD: + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_LOSS_WEIGHT: 1.0 + BBOX_REG_WEIGHTS: *id001 + CLS_AGNOSTIC_BBOX_REG: false + CONV_DIM: 256 + FC_DIM: 1024 + FED_LOSS_FREQ_WEIGHT_POWER: 0.5 + FED_LOSS_NUM_CLASSES: 50 + NAME: FastRCNNConvFCHead + NORM: '' + NUM_CONV: 0 + NUM_FC: 2 + POOLER_RESOLUTION: 7 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + SMOOTH_L1_BETA: 0.0 + TRAIN_ON_PRED_BOXES: false + USE_FED_LOSS: false + USE_SIGMOID_CE: false + ROI_HEADS: + BATCH_SIZE_PER_IMAGE: 512 + IN_FEATURES: + - vgg4 + IOU_LABELS: + - 0 + - 1 + IOU_THRESHOLDS: + - 0.5 + LOSS: CrossEntropy + NAME: StandardROIHeadsPseudoLab + NMS_THRESH_TEST: 0.5 + NUM_CLASSES: 1 + POSITIVE_FRACTION: 0.25 + PROPOSAL_APPEND_GT: true + SCORE_THRESH_TEST: 0.05 + ROI_KEYPOINT_HEAD: + CONV_DIMS: + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + LOSS_WEIGHT: 1.0 + MIN_KEYPOINTS_PER_IMAGE: 1 + NAME: KRCNNConvDeconvUpsampleHead + NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true + NUM_KEYPOINTS: 17 + POOLER_RESOLUTION: 14 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + ROI_MASK_HEAD: + CLS_AGNOSTIC_MASK: false + CONV_DIM: 256 + NAME: MaskRCNNConvUpsampleHead + NORM: '' + NUM_CONV: 0 + POOLER_RESOLUTION: 14 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + RPN: + BATCH_SIZE_PER_IMAGE: 256 + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_LOSS_WEIGHT: 1.0 + BBOX_REG_WEIGHTS: *id002 + BOUNDARY_THRESH: -1 + CONV_DIMS: + - -1 + HEAD_NAME: StandardRPNHead + IN_FEATURES: + - vgg4 + IOU_LABELS: + - 0 + - -1 + - 1 + IOU_THRESHOLDS: + - 0.3 + - 0.7 + LOSS: CrossEntropy + LOSS_WEIGHT: 1.0 + NMS_THRESH: 0.7 + POSITIVE_FRACTION: 0.5 + POST_NMS_TOPK_TEST: 1000 + POST_NMS_TOPK_TRAIN: 2000 + PRE_NMS_TOPK_TEST: 6000 + PRE_NMS_TOPK_TRAIN: 12000 + SMOOTH_L1_BETA: 0.0 + UNSUP_LOSS_WEIGHT: 1.0 + SEM_SEG_HEAD: + COMMON_STRIDE: 4 + CONVS_DIM: 128 + IGNORE_VALUE: 255 + IN_FEATURES: + - p2 + - p3 + - p4 + - p5 + LOSS_WEIGHT: 1.0 + NAME: SemSegFPNHead + NORM: GN + NUM_CLASSES: 54 + WEIGHTS: '' +OUTPUT_DIR: /DATA/Rajes/Research/output_cat/bmp_rti +SEED: -1 +SEMISUPNET: + BBOX_THRESHOLD: 0.8 + BURN_UP_STEP: 20000 + DIS_LOSS_WEIGHT: 0.1 + DIS_TYPE: vgg4 + EMA_KEEP_RATE: 0.9996 + LOSS_WEIGHT_TYPE: standard + MLP_DIM: 128 + PSEUDO_BBOX_SAMPLE: thresholding + SUP_LOSS_WEIGHT: 1.0 + TEACHER_UPDATE_ITER: 1 + Trainer: cat + UNSUP_LOSS_WEIGHT: 1.0 +SOLVER: + AMP: + ENABLED: false + BASE_LR: 0.01 + BASE_LR_END: 0.0 + BIAS_LR_FACTOR: 1.0 + CHECKPOINT_PERIOD: 5000 + CLIP_GRADIENTS: + CLIP_TYPE: value + CLIP_VALUE: 1.0 + ENABLED: false + NORM_TYPE: 2.0 + FACTOR_LIST: + - 1 + - 1 + - 1 + - 1 + - 1 + GAMMA: 0.1 + IMG_PER_BATCH_LABEL: 2 + IMG_PER_BATCH_UNLABEL: 2 + IMS_PER_BATCH: 16 + LR_SCHEDULER_NAME: WarmupTwoStageMultiStepLR + MAX_ITER: 50000 + MOMENTUM: 0.9 + NESTEROV: false + NUM_DECAYS: 3 + REFERENCE_WORLD_SIZE: 0 + RESCALE_INTERVAL: false + STEPS: + - 60000 + - 80000 + - 90000 + - 360000 + WARMUP_FACTOR: 0.001 + WARMUP_ITERS: 1000 + WARMUP_METHOD: linear + WEIGHT_DECAY: 0.0001 + WEIGHT_DECAY_BIAS: null + WEIGHT_DECAY_NORM: 0.0 +TARGET_BBOX: false +TEST: + AUG: + ENABLED: false + FLIP: true + MAX_SIZE: 4000 + MIN_SIZES: + - 400 + - 500 + - 600 + - 700 + - 800 + - 900 + - 1000 + - 1100 + - 1200 + DETECTIONS_PER_IMAGE: 100 + EVALUATOR: COCOeval + EVAL_PERIOD: 1000 + EXPECTED_RESULTS: [] + KEYPOINT_OKS_SIGMAS: [] + PRECISE_BN: + ENABLED: false + NUM_ITER: 200 + VAL_LOSS: true +VERSION: 2 +VIS_PERIOD: 0 + +[04/10 01:54:37] detectron2 INFO: Full config saved to /DATA/Rajes/Research/output_cat/bmp_rti/config.yaml +[04/10 01:54:37] d2.utils.env INFO: Using a generated random seed 38596216 +[04/10 01:55:02] detectron2 INFO: Rank of current process: 0. World size: 1 +[04/10 01:55:03] detectron2 INFO: Environment info: +------------------------------- ---------------------------------------------------------------------------- +sys.platform linux +Python 3.11.11 (main, Dec 11 2024, 16:28:39) [GCC 11.2.0] +numpy 2.0.1 +detectron2 0.6 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/detectron2 +Compiler GCC 9.4 +CUDA compiler CUDA 12.6 +detectron2 arch flags 8.6 +DETECTRON2_ENV_MODULE +PyTorch 2.5.1 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/torch +PyTorch debug build False +torch._C._GLIBCXX_USE_CXX11_ABI False +GPU available Yes +GPU 0 NVIDIA A10 (arch=8.6) +Driver version 565.57.01 +CUDA_HOME /usr/local/cuda +Pillow 11.0.0 +torchvision 0.20.1 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/torchvision +torchvision arch flags 5.0, 6.0, 7.0, 7.5, 8.0, 8.6, 9.0 +fvcore 0.1.5.post20221221 +iopath 0.1.9 +cv2 4.11.0 +------------------------------- ---------------------------------------------------------------------------- +PyTorch built with: + - GCC 9.3 + - C++ Version: 201703 + - Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v3.5.3 (Git Hash 66f0cb9eb66affd2da3bf5f8d897376f04aae6af) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX512 + - CUDA Runtime 12.4 + - NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90 + - CuDNN 90.1 + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.4, CUDNN_VERSION=9.1.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.5.1, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, + +[04/10 01:55:03] detectron2 INFO: Command line arguments: Namespace(config_file='configs/faster_rcnn_VGG_cross_city.yaml', resume=True, eval_only=False, num_gpus=1, num_machines=1, machine_rank=0, dist_url='tcp://127.0.0.1:50162', opts=['OUTPUT_DIR', '/DATA/Rajes/Research/output_cat/bmp_rti']) +[04/10 01:55:03] detectron2 INFO: Contents of args.config_file=configs/faster_rcnn_VGG_cross_city.yaml: +_BASE_: "./Base-RCNN-C4.yaml" +MODEL: + # META_ARCHITECTURE: "TwoStagePseudoLabGeneralizedRCNN" + META_ARCHITECTURE: "DAobjTwoStagePseudoLabGeneralizedRCNN" + BACKBONE: + NAME: "build_vgg_backbone" + MASK_ON: False + RESNETS: + DEPTH: 101 + PROPOSAL_GENERATOR: + NAME: "PseudoLabRPN" + # RPN: + # POSITIVE_FRACTION: 0.25 + RPN: + IN_FEATURES: ["vgg4"] + ROI_HEADS: + NAME: "StandardROIHeadsPseudoLab" + LOSS: "CrossEntropy" # variant: "CrossEntropy" + NUM_CLASSES: 1 + IN_FEATURES: ["vgg4"] + ROI_BOX_HEAD: + NAME: "FastRCNNConvFCHead" + NUM_FC: 2 + POOLER_RESOLUTION: 7 + PIXEL_MEAN: [123.675, 116.280, 103.530] + PIXEL_STD: [58.395, 57.120, 57.375] +SOLVER: + LR_SCHEDULER_NAME: "WarmupTwoStageMultiStepLR" + STEPS: (60000, 80000, 90000, 360000) + FACTOR_LIST: (1, 1, 1, 1, 1) + MAX_ITER: 50000  + IMG_PER_BATCH_LABEL: 2 + IMG_PER_BATCH_UNLABEL: 2 + BASE_LR: 0.01 +DATALOADER: + SUP_PERCENT: 100.0 +DATASETS: +DATASETS: + CROSS_DATASET: True + TRAIN_LABEL: ("VOC2007_inb_dr_train",) + TRAIN_UNLABEL: ("VOC2007_inb_train",) + TEST: ("VOC2007_inb_test",) +SEMISUPNET: + Trainer: "cat" + BBOX_THRESHOLD: 0.8 + TEACHER_UPDATE_ITER: 1 + BURN_UP_STEP: 20000  + EMA_KEEP_RATE: 0.9996 + UNSUP_LOSS_WEIGHT: 1.0 + SUP_LOSS_WEIGHT: 1.0 + DIS_LOSS_WEIGHT: 0.1 + DIS_TYPE: "vgg4" #["concate","p2","multi"] +TEST: + EVAL_PERIOD: 1000 + +[04/10 01:55:03] detectron2 INFO: Running with full config: +BLOCKED_CLASSES: [] +CLS_LOSS: true +CUDNN_BENCHMARK: false +DATALOADER: + ASPECT_RATIO_GROUPING: true + FILTER_EMPTY_ANNOTATIONS: true + NUM_WORKERS: 4 + RANDOM_DATA_SEED: 0 + RANDOM_DATA_SEED_PATH: dataseed/COCO_supervision.txt + REPEAT_SQRT: true + REPEAT_THRESHOLD: 0.0 + SAMPLER_TRAIN: TrainingSampler + SUP_PERCENT: 100.0 +DATASETS: + CROSS_DATASET: true + PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 + PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 + PROPOSAL_FILES_TEST: [] + PROPOSAL_FILES_TRAIN: [] + TEST: + - VOC2007_inb_test + TRAIN: + - coco_2017_train + TRAIN_LABEL: + - VOC2007_inb_dr_train + TRAIN_UNLABEL: + - VOC2007_inb_train +DIA_LOSS: false +EMAMODEL: + SUP_CONSIST: true +FLOAT32_PRECISION: '' +GLOBAL: + HACK: 1.0 +INPUT: + CROP: + ENABLED: false + SIZE: + - 0.9 + - 0.9 + TYPE: relative_range + FORMAT: BGR + MASK_FORMAT: polygon + MAX_SIZE_TEST: 1333 + MAX_SIZE_TRAIN: 1333 + MIN_SIZE_TEST: 800 + MIN_SIZE_TRAIN: + - 600 + MIN_SIZE_TRAIN_SAMPLING: choice + RANDOM_FLIP: horizontal +KEEP_ASPECT: false +LIMIT_MIX: true +LOG_LOSS: true +LOSS_REG_VAL: 1.0 +MIXUP: true +MIX_RANDOM_CLASSES: false +MIX_RATIO: 0.5 +MODEL: + ANCHOR_GENERATOR: + ANGLES: + - - -90 + - 0 + - 90 + ASPECT_RATIOS: + - - 0.5 + - 1.0 + - 2.0 + NAME: DefaultAnchorGenerator + OFFSET: 0.0 + SIZES: + - - 32 + - 64 + - 128 + - 256 + - 512 + BACKBONE: + FREEZE_AT: 2 + NAME: build_vgg_backbone + DEVICE: cuda + FPN: + FUSE_TYPE: sum + IN_FEATURES: [] + NORM: '' + OUT_CHANNELS: 256 + KEYPOINT_ON: false + LOAD_PROPOSALS: false + MASK_ON: false + META_ARCHITECTURE: DAobjTwoStagePseudoLabGeneralizedRCNN + PANOPTIC_FPN: + COMBINE: + ENABLED: true + INSTANCES_CONFIDENCE_THRESH: 0.5 + OVERLAP_THRESH: 0.5 + STUFF_AREA_LIMIT: 4096 + INSTANCE_LOSS_WEIGHT: 1.0 + PIXEL_MEAN: + - 123.675 + - 116.28 + - 103.53 + PIXEL_STD: + - 58.395 + - 57.12 + - 57.375 + PROPOSAL_GENERATOR: + MIN_SIZE: 0 + NAME: PseudoLabRPN + RESNETS: + DEFORM_MODULATED: false + DEFORM_NUM_GROUPS: 1 + DEFORM_ON_PER_STAGE: + - false + - false + - false + - false + DEPTH: 101 + NORM: FrozenBN + NUM_GROUPS: 1 + OUT_FEATURES: + - res4 + RES2_OUT_CHANNELS: 256 + RES5_DILATION: 1 + STEM_OUT_CHANNELS: 64 + STRIDE_IN_1X1: true + WIDTH_PER_GROUP: 64 + RETINANET: + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_WEIGHTS: &id002 + - 1.0 + - 1.0 + - 1.0 + - 1.0 + FOCAL_LOSS_ALPHA: 0.25 + FOCAL_LOSS_GAMMA: 2.0 + IN_FEATURES: + - p3 + - p4 + - p5 + - p6 + - p7 + IOU_LABELS: + - 0 + - -1 + - 1 + IOU_THRESHOLDS: + - 0.4 + - 0.5 + NMS_THRESH_TEST: 0.5 + NORM: '' + NUM_CLASSES: 80 + NUM_CONVS: 4 + PRIOR_PROB: 0.01 + SCORE_THRESH_TEST: 0.05 + SMOOTH_L1_LOSS_BETA: 0.1 + TOPK_CANDIDATES_TEST: 1000 + ROI_BOX_CASCADE_HEAD: + BBOX_REG_WEIGHTS: + - &id001 + - 10.0 + - 10.0 + - 5.0 + - 5.0 + - - 20.0 + - 20.0 + - 10.0 + - 10.0 + - - 30.0 + - 30.0 + - 15.0 + - 15.0 + IOUS: + - 0.5 + - 0.6 + - 0.7 + ROI_BOX_HEAD: + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_LOSS_WEIGHT: 1.0 + BBOX_REG_WEIGHTS: *id001 + CLS_AGNOSTIC_BBOX_REG: false + CONV_DIM: 256 + FC_DIM: 1024 + FED_LOSS_FREQ_WEIGHT_POWER: 0.5 + FED_LOSS_NUM_CLASSES: 50 + NAME: FastRCNNConvFCHead + NORM: '' + NUM_CONV: 0 + NUM_FC: 2 + POOLER_RESOLUTION: 7 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + SMOOTH_L1_BETA: 0.0 + TRAIN_ON_PRED_BOXES: false + USE_FED_LOSS: false + USE_SIGMOID_CE: false + ROI_HEADS: + BATCH_SIZE_PER_IMAGE: 512 + IN_FEATURES: + - vgg4 + IOU_LABELS: + - 0 + - 1 + IOU_THRESHOLDS: + - 0.5 + LOSS: CrossEntropy + NAME: StandardROIHeadsPseudoLab + NMS_THRESH_TEST: 0.5 + NUM_CLASSES: 1 + POSITIVE_FRACTION: 0.25 + PROPOSAL_APPEND_GT: true + SCORE_THRESH_TEST: 0.05 + ROI_KEYPOINT_HEAD: + CONV_DIMS: + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + LOSS_WEIGHT: 1.0 + MIN_KEYPOINTS_PER_IMAGE: 1 + NAME: KRCNNConvDeconvUpsampleHead + NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true + NUM_KEYPOINTS: 17 + POOLER_RESOLUTION: 14 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + ROI_MASK_HEAD: + CLS_AGNOSTIC_MASK: false + CONV_DIM: 256 + NAME: MaskRCNNConvUpsampleHead + NORM: '' + NUM_CONV: 0 + POOLER_RESOLUTION: 14 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + RPN: + BATCH_SIZE_PER_IMAGE: 256 + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_LOSS_WEIGHT: 1.0 + BBOX_REG_WEIGHTS: *id002 + BOUNDARY_THRESH: -1 + CONV_DIMS: + - -1 + HEAD_NAME: StandardRPNHead + IN_FEATURES: + - vgg4 + IOU_LABELS: + - 0 + - -1 + - 1 + IOU_THRESHOLDS: + - 0.3 + - 0.7 + LOSS: CrossEntropy + LOSS_WEIGHT: 1.0 + NMS_THRESH: 0.7 + POSITIVE_FRACTION: 0.5 + POST_NMS_TOPK_TEST: 1000 + POST_NMS_TOPK_TRAIN: 2000 + PRE_NMS_TOPK_TEST: 6000 + PRE_NMS_TOPK_TRAIN: 12000 + SMOOTH_L1_BETA: 0.0 + UNSUP_LOSS_WEIGHT: 1.0 + SEM_SEG_HEAD: + COMMON_STRIDE: 4 + CONVS_DIM: 128 + IGNORE_VALUE: 255 + IN_FEATURES: + - p2 + - p3 + - p4 + - p5 + LOSS_WEIGHT: 1.0 + NAME: SemSegFPNHead + NORM: GN + NUM_CLASSES: 54 + WEIGHTS: '' +OUTPUT_DIR: /DATA/Rajes/Research/output_cat/bmp_rti +SEED: -1 +SEMISUPNET: + BBOX_THRESHOLD: 0.8 + BURN_UP_STEP: 20000 + DIS_LOSS_WEIGHT: 0.1 + DIS_TYPE: vgg4 + EMA_KEEP_RATE: 0.9996 + LOSS_WEIGHT_TYPE: standard + MLP_DIM: 128 + PSEUDO_BBOX_SAMPLE: thresholding + SUP_LOSS_WEIGHT: 1.0 + TEACHER_UPDATE_ITER: 1 + Trainer: cat + UNSUP_LOSS_WEIGHT: 1.0 +SOLVER: + AMP: + ENABLED: false + BASE_LR: 0.01 + BASE_LR_END: 0.0 + BIAS_LR_FACTOR: 1.0 + CHECKPOINT_PERIOD: 5000 + CLIP_GRADIENTS: + CLIP_TYPE: value + CLIP_VALUE: 1.0 + ENABLED: false + NORM_TYPE: 2.0 + FACTOR_LIST: + - 1 + - 1 + - 1 + - 1 + - 1 + GAMMA: 0.1 + IMG_PER_BATCH_LABEL: 2 + IMG_PER_BATCH_UNLABEL: 2 + IMS_PER_BATCH: 16 + LR_SCHEDULER_NAME: WarmupTwoStageMultiStepLR + MAX_ITER: 50000 + MOMENTUM: 0.9 + NESTEROV: false + NUM_DECAYS: 3 + REFERENCE_WORLD_SIZE: 0 + RESCALE_INTERVAL: false + STEPS: + - 60000 + - 80000 + - 90000 + - 360000 + WARMUP_FACTOR: 0.001 + WARMUP_ITERS: 1000 + WARMUP_METHOD: linear + WEIGHT_DECAY: 0.0001 + WEIGHT_DECAY_BIAS: null + WEIGHT_DECAY_NORM: 0.0 +TARGET_BBOX: false +TEST: + AUG: + ENABLED: false + FLIP: true + MAX_SIZE: 4000 + MIN_SIZES: + - 400 + - 500 + - 600 + - 700 + - 800 + - 900 + - 1000 + - 1100 + - 1200 + DETECTIONS_PER_IMAGE: 100 + EVALUATOR: COCOeval + EVAL_PERIOD: 1000 + EXPECTED_RESULTS: [] + KEYPOINT_OKS_SIGMAS: [] + PRECISE_BN: + ENABLED: false + NUM_ITER: 200 + VAL_LOSS: true +VERSION: 2 +VIS_PERIOD: 0 + +[04/10 01:55:03] detectron2 INFO: Full config saved to /DATA/Rajes/Research/output_cat/bmp_rti/config.yaml +[04/10 01:55:03] d2.utils.env INFO: Using a generated random seed 4353749 +[04/10 01:55:03] d2.data.build INFO: Removed 98 images with no usable annotations. 188 images left. +[04/10 01:55:03] d2.data.build INFO: Distribution of instances among all 1 categories: +| category | #instances | +|:----------:|:-------------| +| mal | 188 | +| | | +[04/10 01:55:03] d2.data.build INFO: Distribution of instances among all 1 categories: +| category | #instances | +|:----------:|:-------------| +| mal | 62 | +| | | +[04/10 01:55:03] d2.data.common INFO: Serializing the dataset using: +[04/10 01:55:03] d2.data.common INFO: Serializing 188 elements to byte tensors and concatenating them all ... +[04/10 01:55:03] d2.data.common INFO: Serialized dataset takes 0.10 MiB +[04/10 01:55:03] d2.data.common INFO: Serializing the dataset using: +[04/10 01:55:03] d2.data.common INFO: Serializing 286 elements to byte tensors and concatenating them all ... +[04/10 01:55:03] d2.data.common INFO: Serialized dataset takes 0.13 MiB +[04/10 01:55:04] d2.engine.defaults INFO: Model: +DAobjTwoStagePseudoLabGeneralizedRCNN( + (backbone): vgg_backbone( + (vgg0): Sequential( + (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg1): Sequential( + (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg2): Sequential( + (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg3): Sequential( + (0): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg4): Sequential( + (0): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + ) + (proposal_generator): PseudoLabRPN( + (rpn_head): StandardRPNHead( + (conv): Conv2d( + 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) + (activation): ReLU() + ) + (objectness_logits): Conv2d(512, 15, kernel_size=(1, 1), stride=(1, 1)) + (anchor_deltas): Conv2d(512, 60, kernel_size=(1, 1), stride=(1, 1)) + ) + (anchor_generator): DefaultAnchorGenerator( + (cell_anchors): BufferList() + ) + ) + (roi_heads): StandardROIHeadsPseudoLab( + (box_pooler): ROIPooler( + (level_poolers): ModuleList( + (0): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) + ) + ) + (box_head): FastRCNNConvFCHead( + (flatten): Flatten(start_dim=1, end_dim=-1) + (fc1): Linear(in_features=25088, out_features=1024, bias=True) + (fc_relu1): ReLU() + (fc2): Linear(in_features=1024, out_features=1024, bias=True) + (fc_relu2): ReLU() + ) + (box_predictor): FastRCNNOutputLayers( + (cls_score): Linear(in_features=1024, out_features=2, bias=True) + (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) + ) + ) + (D_img): FCDiscriminator_img( + (conv1): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv2): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (classifier): Conv2d(128, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (leaky_relu): LeakyReLU(negative_slope=0.2, inplace=True) + ) +) +[04/10 01:55:06] d2.engine.defaults INFO: Model: +DAobjTwoStagePseudoLabGeneralizedRCNN( + (backbone): vgg_backbone( + (vgg0): Sequential( + (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg1): Sequential( + (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg2): Sequential( + (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg3): Sequential( + (0): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg4): Sequential( + (0): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + ) + (proposal_generator): PseudoLabRPN( + (rpn_head): StandardRPNHead( + (conv): Conv2d( + 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) + (activation): ReLU() + ) + (objectness_logits): Conv2d(512, 15, kernel_size=(1, 1), stride=(1, 1)) + (anchor_deltas): Conv2d(512, 60, kernel_size=(1, 1), stride=(1, 1)) + ) + (anchor_generator): DefaultAnchorGenerator( + (cell_anchors): BufferList() + ) + ) + (roi_heads): StandardROIHeadsPseudoLab( + (box_pooler): ROIPooler( + (level_poolers): ModuleList( + (0): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) + ) + ) + (box_head): FastRCNNConvFCHead( + (flatten): Flatten(start_dim=1, end_dim=-1) + (fc1): Linear(in_features=25088, out_features=1024, bias=True) + (fc_relu1): ReLU() + (fc2): Linear(in_features=1024, out_features=1024, bias=True) + (fc_relu2): ReLU() + ) + (box_predictor): FastRCNNOutputLayers( + (cls_score): Linear(in_features=1024, out_features=2, bias=True) + (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) + ) + ) + (D_img): FCDiscriminator_img( + (conv1): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv2): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (classifier): Conv2d(128, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (leaky_relu): LeakyReLU(negative_slope=0.2, inplace=True) + ) +) +[04/10 01:55:06] d2.checkpoint.detection_checkpoint INFO: [DetectionCheckpointer] Loading from /DATA/Rajes/Research/output_cat/bmp_rti/model_0019999.pth ... +[04/10 01:55:06] fvcore.common.checkpoint INFO: [Checkpointer] Loading from /DATA/Rajes/Research/output_cat/bmp_rti/model_0019999.pth ... +[04/10 01:55:06] fvcore.common.checkpoint INFO: Loading optimizer from /DATA/Rajes/Research/output_cat/bmp_rti/model_0019999.pth ... +[04/10 01:55:06] fvcore.common.checkpoint INFO: Loading scheduler from /DATA/Rajes/Research/output_cat/bmp_rti/model_0019999.pth ... +[04/10 01:55:36] d2.utils.events INFO: eta: 11:47:16 iter: 20019 total_loss: 2.453 loss_cls: 0.07246 loss_box_reg: 0.0585 loss_rpn_cls: 0.3936 loss_rpn_loc: 0.001563 loss_D_img_s: 0.6635 loss_cls_pseudo: 0.009085 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.49 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7237 time: 1.4371 last_time: 1.4022 data_time: 0.0372 last_data_time: 0.0067 lr: 0.02 max_mem: 14767M +[04/10 01:56:04] d2.utils.events INFO: eta: 11:40:56 iter: 20039 total_loss: 2.166 loss_cls: 0.04067 loss_box_reg: 0.04616 loss_rpn_cls: 0.1333 loss_rpn_loc: 0.001854 loss_D_img_s: 0.6756 loss_cls_pseudo: 0.007941 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4908 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7106 time: 1.4115 last_time: 1.3196 data_time: 0.0079 last_data_time: 0.0090 lr: 0.02 max_mem: 14767M +[04/10 01:56:32] d2.utils.events INFO: eta: 11:40:28 iter: 20059 total_loss: 2.216 loss_cls: 0.0559 loss_box_reg: 0.05597 loss_rpn_cls: 0.199 loss_rpn_loc: 0.003082 loss_D_img_s: 0.68 loss_cls_pseudo: 0.007098 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5124 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7057 time: 1.4063 last_time: 1.3458 data_time: 0.0077 last_data_time: 0.0061 lr: 0.02 max_mem: 14767M +[04/10 01:57:00] d2.utils.events INFO: eta: 11:40:00 iter: 20079 total_loss: 1.988 loss_cls: 0.04878 loss_box_reg: 0.05463 loss_rpn_cls: 0.1412 loss_rpn_loc: 0.001765 loss_D_img_s: 0.6836 loss_cls_pseudo: 0.01135 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2707 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7023 time: 1.4055 last_time: 1.3372 data_time: 0.0078 last_data_time: 0.0085 lr: 0.02 max_mem: 14767M +[04/10 01:57:28] d2.utils.events INFO: eta: 11:39:32 iter: 20099 total_loss: 1.824 loss_cls: 0.04748 loss_box_reg: 0.04856 loss_rpn_cls: 0.109 loss_rpn_loc: 0.002179 loss_D_img_s: 0.6864 loss_cls_pseudo: 0.008494 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1658 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7008 time: 1.4043 last_time: 1.4931 data_time: 0.0084 last_data_time: 0.0097 lr: 0.02 max_mem: 14767M +[04/10 01:57:57] d2.utils.events INFO: eta: 11:42:23 iter: 20119 total_loss: 1.929 loss_cls: 0.04912 loss_box_reg: 0.04895 loss_rpn_cls: 0.1301 loss_rpn_loc: 0.00198 loss_D_img_s: 0.6891 loss_cls_pseudo: 0.007999 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2262 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6989 time: 1.4134 last_time: 1.5224 data_time: 0.0079 last_data_time: 0.0062 lr: 0.02 max_mem: 14767M +[04/10 01:58:27] d2.utils.events INFO: eta: 11:45:09 iter: 20139 total_loss: 2.221 loss_cls: 0.04535 loss_box_reg: 0.04019 loss_rpn_cls: 0.2686 loss_rpn_loc: 0.002124 loss_D_img_s: 0.691 loss_cls_pseudo: 0.008479 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.521 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6957 time: 1.4239 last_time: 1.5264 data_time: 0.0084 last_data_time: 0.0096 lr: 0.02 max_mem: 14767M +[04/10 01:58:58] d2.utils.events INFO: eta: 11:50:31 iter: 20159 total_loss: 2.226 loss_cls: 0.06022 loss_box_reg: 0.05571 loss_rpn_cls: 0.1649 loss_rpn_loc: 0.001842 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.009524 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5479 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.4385 last_time: 1.4002 data_time: 0.0081 last_data_time: 0.0108 lr: 0.02 max_mem: 14767M +[04/10 01:59:28] d2.utils.events INFO: eta: 11:54:56 iter: 20179 total_loss: 2.169 loss_cls: 0.05361 loss_box_reg: 0.05423 loss_rpn_cls: 0.1985 loss_rpn_loc: 0.002317 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.008214 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5025 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 1.4490 last_time: 1.4879 data_time: 0.0078 last_data_time: 0.0084 lr: 0.02 max_mem: 14767M +[04/10 01:59:59] d2.utils.events INFO: eta: 11:58:38 iter: 20199 total_loss: 1.97 loss_cls: 0.03606 loss_box_reg: 0.04504 loss_rpn_cls: 0.1058 loss_rpn_loc: 0.002611 loss_D_img_s: 0.6901 loss_cls_pseudo: 0.009028 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3735 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6962 time: 1.4578 last_time: 1.4606 data_time: 0.0080 last_data_time: 0.0065 lr: 0.02 max_mem: 14767M +[04/10 02:00:30] d2.utils.events INFO: eta: 12:01:31 iter: 20219 total_loss: 2.22 loss_cls: 0.05415 loss_box_reg: 0.04729 loss_rpn_cls: 0.1535 loss_rpn_loc: 0.002055 loss_D_img_s: 0.6907 loss_cls_pseudo: 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max_mem: 14767M +[04/10 02:02:05] d2.utils.events INFO: eta: 12:11:56 iter: 20279 total_loss: 1.869 loss_cls: 0.04764 loss_box_reg: 0.05356 loss_rpn_cls: 0.1188 loss_rpn_loc: 0.002045 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.008024 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2006 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.4920 last_time: 1.4861 data_time: 0.0080 last_data_time: 0.0077 lr: 0.02 max_mem: 14767M +[04/10 02:02:37] d2.utils.events INFO: eta: 12:16:32 iter: 20299 total_loss: 1.951 loss_cls: 0.04354 loss_box_reg: 0.04499 loss_rpn_cls: 0.09423 loss_rpn_loc: 0.001865 loss_D_img_s: 0.6923 loss_cls_pseudo: 0.008346 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.341 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6933 time: 1.4988 last_time: 1.4549 data_time: 0.0073 last_data_time: 0.0080 lr: 0.02 max_mem: 14767M +[04/10 02:03:10] d2.utils.events INFO: eta: 12:18:25 iter: 20319 total_loss: 1.916 loss_cls: 0.04685 loss_box_reg: 0.05026 loss_rpn_cls: 0.1473 loss_rpn_loc: 0.001968 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14767M +[04/10 02:14:39] d2.utils.events INFO: eta: 12:57:41 iter: 20719 total_loss: 2.189 loss_cls: 0.04017 loss_box_reg: 0.04759 loss_rpn_cls: 0.1461 loss_rpn_loc: 0.00189 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.005166 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5523 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 1.6267 last_time: 1.5982 data_time: 0.0088 last_data_time: 0.0100 lr: 0.02 max_mem: 14767M +[04/10 02:15:11] d2.utils.events INFO: eta: 12:55:59 iter: 20739 total_loss: 2.193 loss_cls: 0.0476 loss_box_reg: 0.04898 loss_rpn_cls: 0.1514 loss_rpn_loc: 0.001475 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.00639 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5599 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 1.6260 last_time: 1.5470 data_time: 0.0078 last_data_time: 0.0087 lr: 0.02 max_mem: 14767M +[04/10 02:15:43] d2.utils.events INFO: eta: 12:55:41 iter: 20759 total_loss: 1.959 loss_cls: 0.04211 loss_box_reg: 0.04519 loss_rpn_cls: 0.1835 loss_rpn_loc: 0.001583 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.005907 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2309 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 1.6252 last_time: 1.5071 data_time: 0.0076 last_data_time: 0.0074 lr: 0.02 max_mem: 14767M +[04/10 02:16:15] d2.utils.events INFO: eta: 12:54:30 iter: 20779 total_loss: 1.747 loss_cls: 0.04105 loss_box_reg: 0.05332 loss_rpn_cls: 0.05873 loss_rpn_loc: 0.002007 loss_D_img_s: 0.691 loss_cls_pseudo: 0.005176 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1557 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6959 time: 1.6253 last_time: 2.4277 data_time: 0.0086 last_data_time: 0.0085 lr: 0.02 max_mem: 14767M +[04/10 02:16:48] d2.utils.events INFO: eta: 12:55:02 iter: 20799 total_loss: 2.231 loss_cls: 0.0462 loss_box_reg: 0.05489 loss_rpn_cls: 0.2459 loss_rpn_loc: 0.002303 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.005733 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4938 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6912 time: 1.6256 last_time: 1.6779 data_time: 0.0084 last_data_time: 0.0094 lr: 0.02 max_mem: 14767M +[04/10 02:17:21] d2.utils.events INFO: eta: 12:55:01 iter: 20819 total_loss: 2.22 loss_cls: 0.04383 loss_box_reg: 0.04574 loss_rpn_cls: 0.1631 loss_rpn_loc: 0.001821 loss_D_img_s: 0.6938 loss_cls_pseudo: 0.005232 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5486 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 1.6255 last_time: 1.5669 data_time: 0.0090 last_data_time: 0.0123 lr: 0.02 max_mem: 14767M +[04/10 02:17:53] d2.utils.events INFO: eta: 12:54:59 iter: 20839 total_loss: 1.857 loss_cls: 0.02931 loss_box_reg: 0.04295 loss_rpn_cls: 0.1377 loss_rpn_loc: 0.001541 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.005893 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1802 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 1.6254 last_time: 1.6685 data_time: 0.0091 last_data_time: 0.0079 lr: 0.02 max_mem: 14767M +[04/10 02:18:25] d2.utils.events INFO: eta: 12:53:58 iter: 20859 total_loss: 2.203 loss_cls: 0.04713 loss_box_reg: 0.04884 loss_rpn_cls: 0.1393 loss_rpn_loc: 0.001515 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.006358 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5753 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 1.6245 last_time: 1.5778 data_time: 0.0080 last_data_time: 0.0055 lr: 0.02 max_mem: 14767M +[04/10 02:18:56] d2.utils.events INFO: eta: 12:52:58 iter: 20879 total_loss: 2.217 loss_cls: 0.05178 loss_box_reg: 0.05707 loss_rpn_cls: 0.119 loss_rpn_loc: 0.00137 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.00729 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5937 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6937 time: 1.6236 last_time: 1.5685 data_time: 0.0079 last_data_time: 0.0083 lr: 0.02 max_mem: 14767M +[04/10 02:19:28] d2.utils.events INFO: eta: 12:52:54 iter: 20899 total_loss: 1.857 loss_cls: 0.0442 loss_box_reg: 0.05246 loss_rpn_cls: 0.1229 loss_rpn_loc: 0.001818 loss_D_img_s: 0.693 loss_cls_pseudo: 0.008182 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1765 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6934 time: 1.6231 last_time: 1.6185 data_time: 0.0082 last_data_time: 0.0077 lr: 0.02 max_mem: 14767M +[04/10 02:20:00] d2.utils.events INFO: eta: 12:52:20 iter: 20919 total_loss: 2.198 loss_cls: 0.03992 loss_box_reg: 0.04456 loss_rpn_cls: 0.1563 loss_rpn_loc: 0.001724 loss_D_img_s: 0.693 loss_cls_pseudo: 0.005354 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5396 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6934 time: 1.6225 last_time: 1.4622 data_time: 0.0076 last_data_time: 0.0083 lr: 0.02 max_mem: 14767M +[04/10 02:20:33] d2.utils.events INFO: eta: 12:51:21 iter: 20939 total_loss: 2.212 loss_cls: 0.04854 loss_box_reg: 0.05502 loss_rpn_cls: 0.1468 loss_rpn_loc: 0.002143 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.003454 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5698 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6933 time: 1.6222 last_time: 1.4775 data_time: 0.0083 last_data_time: 0.0061 lr: 0.02 max_mem: 14767M +[04/10 02:21:05] d2.utils.events INFO: eta: 12:50:47 iter: 20959 total_loss: 2.064 loss_cls: 0.0425 loss_box_reg: 0.05947 loss_rpn_cls: 0.1624 loss_rpn_loc: 0.001707 loss_D_img_s: 0.6924 loss_cls_pseudo: 0.005907 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4077 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6937 time: 1.6219 last_time: 1.4974 data_time: 0.0081 last_data_time: 0.0097 lr: 0.02 max_mem: 14767M +[04/10 02:21:37] d2.utils.events INFO: eta: 12:50:15 iter: 20979 total_loss: 2.168 loss_cls: 0.04924 loss_box_reg: 0.05042 loss_rpn_cls: 0.1299 loss_rpn_loc: 0.001175 loss_D_img_s: 0.692 loss_cls_pseudo: 0.004322 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5475 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 1.6219 last_time: 1.6007 data_time: 0.0079 last_data_time: 0.0075 lr: 0.02 max_mem: 14767M +[04/10 02:22:09] d2.data.build INFO: Distribution of instances among all 1 categories: +| category | #instances | +|:----------:|:-------------| +| mal | 91 | +| | | +[04/10 02:22:09] d2.data.common INFO: Serializing the dataset using: +[04/10 02:22:09] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 02:22:09] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 02:22:09] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 02:22:09] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 02:22:11] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0475 s/iter. Inference: 0.0648 s/iter. Eval: 0.0007 s/iter. Total: 0.1130 s/iter. ETA=0:00:45 +[04/10 02:22:16] d2.evaluation.evaluator INFO: Inference done 76/410. Dataloading: 0.0204 s/iter. Inference: 0.0591 s/iter. Eval: 0.0007 s/iter. Total: 0.0803 s/iter. ETA=0:00:26 +[04/10 02:22:21] d2.evaluation.evaluator INFO: Inference done 148/410. Dataloading: 0.0164 s/iter. Inference: 0.0583 s/iter. Eval: 0.0005 s/iter. Total: 0.0752 s/iter. ETA=0:00:19 +[04/10 02:22:26] d2.evaluation.evaluator INFO: Inference done 224/410. Dataloading: 0.0146 s/iter. Inference: 0.0572 s/iter. Eval: 0.0004 s/iter. Total: 0.0724 s/iter. ETA=0:00:13 +[04/10 02:22:31] d2.evaluation.evaluator INFO: Inference done 294/410. Dataloading: 0.0137 s/iter. Inference: 0.0580 s/iter. Eval: 0.0004 s/iter. Total: 0.0722 s/iter. ETA=0:00:08 +[04/10 02:22:36] d2.evaluation.evaluator INFO: Inference done 367/410. Dataloading: 0.0121 s/iter. Inference: 0.0591 s/iter. Eval: 0.0004 s/iter. Total: 0.0716 s/iter. ETA=0:00:03 +[04/10 02:22:39] d2.evaluation.evaluator INFO: Total inference time: 0:00:28.814901 (0.071148 s / iter per device, on 1 devices) +[04/10 02:22:39] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.058935 s / iter per device, on 1 devices) +[04/10 02:22:40] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 02:22:40] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 02:22:40] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 02:22:40] d2.evaluation.testing INFO: copypaste: 1.9845,11.3141,0.0209 +[04/10 02:22:40] d2.data.common INFO: Serializing the dataset using: +[04/10 02:22:40] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 02:22:40] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 02:22:40] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 02:22:40] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 02:22:41] d2.evaluation.evaluator INFO: Inference done 12/410. Dataloading: 0.0156 s/iter. Inference: 0.0532 s/iter. Eval: 0.0004 s/iter. Total: 0.0692 s/iter. ETA=0:00:27 +[04/10 02:22:46] d2.evaluation.evaluator INFO: Inference done 78/410. Dataloading: 0.0182 s/iter. Inference: 0.0568 s/iter. Eval: 0.0004 s/iter. Total: 0.0756 s/iter. ETA=0:00:25 +[04/10 02:22:51] d2.evaluation.evaluator INFO: Inference done 146/410. Dataloading: 0.0157 s/iter. Inference: 0.0583 s/iter. Eval: 0.0005 s/iter. Total: 0.0746 s/iter. ETA=0:00:19 +[04/10 02:22:56] d2.evaluation.evaluator INFO: Inference done 216/410. Dataloading: 0.0147 s/iter. Inference: 0.0584 s/iter. Eval: 0.0004 s/iter. Total: 0.0737 s/iter. ETA=0:00:14 +[04/10 02:23:01] d2.evaluation.evaluator INFO: Inference done 286/410. Dataloading: 0.0149 s/iter. Inference: 0.0579 s/iter. Eval: 0.0005 s/iter. Total: 0.0733 s/iter. ETA=0:00:09 +[04/10 02:23:06] d2.evaluation.evaluator INFO: Inference done 363/410. Dataloading: 0.0140 s/iter. Inference: 0.0572 s/iter. Eval: 0.0005 s/iter. Total: 0.0718 s/iter. ETA=0:00:03 +[04/10 02:23:10] d2.evaluation.evaluator INFO: Total inference time: 0:00:29.076869 (0.071795 s / iter per device, on 1 devices) +[04/10 02:23:10] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057904 s / iter per device, on 1 devices) +[04/10 02:23:11] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 02:23:11] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 02:23:11] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 02:23:11] d2.evaluation.testing INFO: copypaste: 0.9519,4.7144,0.0031 +[04/10 02:23:11] d2.utils.events INFO: eta: 12:49:32 iter: 20999 total_loss: 1.816 loss_cls: 0.04436 loss_box_reg: 0.04887 loss_rpn_cls: 0.1176 loss_rpn_loc: 0.001433 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.005702 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1719 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6935 time: 1.6214 last_time: 1.5201 data_time: 0.0080 last_data_time: 0.0070 lr: 0.02 max_mem: 14767M +[04/10 02:23:43] d2.utils.events INFO: eta: 12:50:12 iter: 21019 total_loss: 2.036 loss_cls: 0.04041 loss_box_reg: 0.05287 loss_rpn_cls: 0.1114 loss_rpn_loc: 0.001742 loss_D_img_s: 0.6926 loss_cls_pseudo: 0.003819 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.434 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 1.6210 last_time: 1.5134 data_time: 0.0096 last_data_time: 0.0102 lr: 0.02 max_mem: 14767M +[04/10 02:24:15] d2.utils.events INFO: eta: 12:50:10 iter: 21039 total_loss: 2.176 loss_cls: 0.03223 loss_box_reg: 0.04481 loss_rpn_cls: 0.1597 loss_rpn_loc: 0.00183 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.006251 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5429 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.6202 last_time: 1.5989 data_time: 0.0078 last_data_time: 0.0075 lr: 0.02 max_mem: 14767M +[04/10 02:24:47] d2.utils.events INFO: eta: 12:51:49 iter: 21059 total_loss: 2.146 loss_cls: 0.03388 loss_box_reg: 0.04411 loss_rpn_cls: 0.1016 loss_rpn_loc: 0.001971 loss_D_img_s: 0.693 loss_cls_pseudo: 0.003351 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5491 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6934 time: 1.6202 last_time: 1.6357 data_time: 0.0082 last_data_time: 0.0076 lr: 0.02 max_mem: 14767M +[04/10 02:25:20] d2.utils.events INFO: eta: 12:53:08 iter: 21079 total_loss: 2.147 loss_cls: 0.03396 loss_box_reg: 0.04798 loss_rpn_cls: 0.1352 loss_rpn_loc: 0.001788 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.00327 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5412 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 1.6202 last_time: 1.6715 data_time: 0.0087 last_data_time: 0.0074 lr: 0.02 max_mem: 14767M +[04/10 02:25:52] d2.utils.events INFO: eta: 12:54:14 iter: 21099 total_loss: 1.778 loss_cls: 0.04064 loss_box_reg: 0.04942 loss_rpn_cls: 0.09139 loss_rpn_loc: 0.001517 loss_D_img_s: 0.692 loss_cls_pseudo: 0.007795 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1497 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6939 time: 1.6198 last_time: 1.5475 data_time: 0.0085 last_data_time: 0.0079 lr: 0.02 max_mem: 14767M +[04/10 02:26:24] d2.utils.events INFO: eta: 12:54:27 iter: 21119 total_loss: 2.175 loss_cls: 0.04503 loss_box_reg: 0.05665 loss_rpn_cls: 0.1501 loss_rpn_loc: 0.002231 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.004542 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5331 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 1.6196 last_time: 1.7624 data_time: 0.0073 last_data_time: 0.0069 lr: 0.02 max_mem: 14767M +[04/10 02:26:56] d2.utils.events INFO: eta: 12:55:32 iter: 21139 total_loss: 2.114 loss_cls: 0.04222 loss_box_reg: 0.05473 loss_rpn_cls: 0.095 loss_rpn_loc: 0.001768 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.00386 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5515 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6196 last_time: 1.6452 data_time: 0.0089 last_data_time: 0.0084 lr: 0.02 max_mem: 14767M +[04/10 02:27:29] d2.utils.events INFO: eta: 12:56:14 iter: 21159 total_loss: 1.833 loss_cls: 0.03299 loss_box_reg: 0.04442 loss_rpn_cls: 0.1297 loss_rpn_loc: 0.001647 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.004375 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2203 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 1.6203 last_time: 1.5399 data_time: 0.0091 last_data_time: 0.0086 lr: 0.02 max_mem: 14767M +[04/10 02:28:02] d2.utils.events INFO: eta: 12:56:53 iter: 21179 total_loss: 1.652 loss_cls: 0.03058 loss_box_reg: 0.0403 loss_rpn_cls: 0.05504 loss_rpn_loc: 0.001829 loss_D_img_s: 0.693 loss_cls_pseudo: 0.003911 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.09428 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 1.6207 last_time: 1.5821 data_time: 0.0087 last_data_time: 0.0070 lr: 0.02 max_mem: 14767M +[04/10 02:28:34] d2.utils.events INFO: eta: 12:57:14 iter: 21199 total_loss: 2.049 loss_cls: 0.03772 loss_box_reg: 0.05844 loss_rpn_cls: 0.1288 loss_rpn_loc: 0.001739 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.005655 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4014 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.692 time: 1.6203 last_time: 1.5720 data_time: 0.0082 last_data_time: 0.0076 lr: 0.02 max_mem: 14767M +[04/10 02:29:07] d2.utils.events INFO: eta: 12:57:51 iter: 21219 total_loss: 2.034 loss_cls: 0.03666 loss_box_reg: 0.04218 loss_rpn_cls: 0.1733 loss_rpn_loc: 0.002125 loss_D_img_s: 0.6946 loss_cls_pseudo: 0.005661 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3911 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 1.6204 last_time: 1.6723 data_time: 0.0086 last_data_time: 0.0093 lr: 0.02 max_mem: 14767M +[04/10 02:29:39] d2.utils.events INFO: eta: 12:57:59 iter: 21239 total_loss: 2.201 loss_cls: 0.0299 loss_box_reg: 0.04266 loss_rpn_cls: 0.1809 loss_rpn_loc: 0.001799 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.00383 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5104 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 1.6205 last_time: 1.6506 data_time: 0.0080 last_data_time: 0.0086 lr: 0.02 max_mem: 14767M +[04/10 02:30:11] d2.utils.events INFO: eta: 12:58:00 iter: 21259 total_loss: 2.165 loss_cls: 0.04156 loss_box_reg: 0.05613 loss_rpn_cls: 0.1577 loss_rpn_loc: 0.001924 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.004393 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5151 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 1.6202 last_time: 1.3987 data_time: 0.0080 last_data_time: 0.0075 lr: 0.02 max_mem: 14767M +[04/10 02:30:44] d2.utils.events INFO: eta: 12:56:54 iter: 21279 total_loss: 2.003 loss_cls: 0.04056 loss_box_reg: 0.05612 loss_rpn_cls: 0.1041 loss_rpn_loc: 0.00151 loss_D_img_s: 0.6921 loss_cls_pseudo: 0.003947 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4163 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6944 time: 1.6204 last_time: 1.5034 data_time: 0.0080 last_data_time: 0.0085 lr: 0.02 max_mem: 14767M +[04/10 02:31:16] d2.utils.events INFO: eta: 12:56:31 iter: 21299 total_loss: 2.149 loss_cls: 0.0483 loss_box_reg: 0.0547 loss_rpn_cls: 0.1623 loss_rpn_loc: 0.001798 loss_D_img_s: 0.6927 loss_cls_pseudo: 0.005806 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5016 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6939 time: 1.6200 last_time: 1.6239 data_time: 0.0079 last_data_time: 0.0056 lr: 0.02 max_mem: 14767M +[04/10 02:31:48] d2.utils.events INFO: eta: 12:55:29 iter: 21319 total_loss: 1.843 loss_cls: 0.05308 loss_box_reg: 0.05144 loss_rpn_cls: 0.1191 loss_rpn_loc: 0.001719 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.005695 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1915 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.692 time: 1.6194 last_time: 1.6667 data_time: 0.0075 last_data_time: 0.0090 lr: 0.02 max_mem: 14767M +[04/10 02:32:20] d2.utils.events INFO: eta: 12:54:35 iter: 21339 total_loss: 2.11 loss_cls: 0.03938 loss_box_reg: 0.0544 loss_rpn_cls: 0.1268 loss_rpn_loc: 0.001756 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.005648 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.508 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6944 time: 1.6192 last_time: 1.5268 data_time: 0.0078 last_data_time: 0.0069 lr: 0.02 max_mem: 14767M +[04/10 02:32:53] d2.utils.events INFO: eta: 12:54:24 iter: 21359 total_loss: 2.072 loss_cls: 0.03216 loss_box_reg: 0.04703 loss_rpn_cls: 0.1101 loss_rpn_loc: 0.00178 loss_D_img_s: 0.6917 loss_cls_pseudo: 0.004112 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4937 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6938 time: 1.6197 last_time: 1.9259 data_time: 0.0083 last_data_time: 0.0094 lr: 0.02 max_mem: 14767M +[04/10 02:33:24] d2.utils.events INFO: eta: 12:52:08 iter: 21379 total_loss: 1.739 loss_cls: 0.02254 loss_box_reg: 0.03368 loss_rpn_cls: 0.08172 loss_rpn_loc: 0.00192 loss_D_img_s: 0.6917 loss_cls_pseudo: 0.004331 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1599 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6951 time: 1.6191 last_time: 1.6402 data_time: 0.0079 last_data_time: 0.0066 lr: 0.02 max_mem: 14767M +[04/10 02:33:57] d2.utils.events INFO: eta: 12:50:27 iter: 21399 total_loss: 2.175 loss_cls: 0.03809 loss_box_reg: 0.04628 loss_rpn_cls: 0.09659 loss_rpn_loc: 0.001766 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.007478 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5594 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 1.6193 last_time: 1.6722 data_time: 0.0080 last_data_time: 0.0104 lr: 0.02 max_mem: 14767M +[04/10 02:34:29] d2.utils.events INFO: eta: 12:47:43 iter: 21419 total_loss: 2.162 loss_cls: 0.05381 loss_box_reg: 0.05942 loss_rpn_cls: 0.1808 loss_rpn_loc: 0.001824 loss_D_img_s: 0.6956 loss_cls_pseudo: 0.002778 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.497 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6898 time: 1.6188 last_time: 1.6045 data_time: 0.0076 last_data_time: 0.0060 lr: 0.02 max_mem: 14767M +[04/10 02:35:01] d2.utils.events INFO: eta: 12:46:07 iter: 21439 total_loss: 2.093 loss_cls: 0.03877 loss_box_reg: 0.05306 loss_rpn_cls: 0.116 loss_rpn_loc: 0.001811 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.003735 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5258 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6915 time: 1.6188 last_time: 1.6935 data_time: 0.0083 last_data_time: 0.0093 lr: 0.02 max_mem: 14767M +[04/10 02:35:33] d2.utils.events INFO: eta: 12:44:40 iter: 21459 total_loss: 2.185 loss_cls: 0.04211 loss_box_reg: 0.04224 loss_rpn_cls: 0.2421 loss_rpn_loc: 0.001993 loss_D_img_s: 0.6963 loss_cls_pseudo: 0.004329 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5019 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6903 time: 1.6187 last_time: 1.6582 data_time: 0.0076 last_data_time: 0.0093 lr: 0.02 max_mem: 14767M +[04/10 02:36:05] d2.utils.events INFO: eta: 12:42:19 iter: 21479 total_loss: 1.914 loss_cls: 0.04985 loss_box_reg: 0.04845 loss_rpn_cls: 0.1292 loss_rpn_loc: 0.001541 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.004296 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2313 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.692 time: 1.6181 last_time: 1.6094 data_time: 0.0084 last_data_time: 0.0100 lr: 0.02 max_mem: 14767M +[04/10 02:36:37] d2.utils.events INFO: eta: 12:40:35 iter: 21499 total_loss: 1.803 loss_cls: 0.0512 loss_box_reg: 0.05358 loss_rpn_cls: 0.09145 loss_rpn_loc: 0.001751 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.008717 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1874 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.6180 last_time: 1.7558 data_time: 0.0085 last_data_time: 0.0092 lr: 0.02 max_mem: 14767M +[04/10 02:37:09] d2.utils.events INFO: eta: 12:37:59 iter: 21519 total_loss: 2.19 loss_cls: 0.04674 loss_box_reg: 0.04289 loss_rpn_cls: 0.219 loss_rpn_loc: 0.002119 loss_D_img_s: 0.697 loss_cls_pseudo: 0.004007 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4974 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6889 time: 1.6176 last_time: 1.5309 data_time: 0.0082 last_data_time: 0.0079 lr: 0.02 max_mem: 14767M +[04/10 02:37:42] d2.utils.events INFO: eta: 12:36:25 iter: 21539 total_loss: 2.149 loss_cls: 0.05362 loss_box_reg: 0.05811 loss_rpn_cls: 0.0985 loss_rpn_loc: 0.001892 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.006373 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5636 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 1.6179 last_time: 1.5292 data_time: 0.0076 last_data_time: 0.0094 lr: 0.02 max_mem: 14767M +[04/10 02:38:13] d2.utils.events INFO: eta: 12:35:47 iter: 21559 total_loss: 2.155 loss_cls: 0.03615 loss_box_reg: 0.04292 loss_rpn_cls: 0.1453 loss_rpn_loc: 0.001555 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.003242 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5367 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 1.6174 last_time: 1.7353 data_time: 0.0078 last_data_time: 0.0138 lr: 0.02 max_mem: 14767M +[04/10 02:38:46] d2.utils.events INFO: eta: 12:35:22 iter: 21579 total_loss: 1.8 loss_cls: 0.03689 loss_box_reg: 0.04707 loss_rpn_cls: 0.08794 loss_rpn_loc: 0.00164 loss_D_img_s: 0.693 loss_cls_pseudo: 0.005989 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1456 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 1.6174 last_time: 1.5882 data_time: 0.0083 last_data_time: 0.0097 lr: 0.02 max_mem: 14767M +[04/10 02:39:18] d2.utils.events INFO: eta: 12:34:38 iter: 21599 total_loss: 1.689 loss_cls: 0.04969 loss_box_reg: 0.06325 loss_rpn_cls: 0.05354 loss_rpn_loc: 0.0015 loss_D_img_s: 0.6902 loss_cls_pseudo: 0.006934 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.09307 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6947 time: 1.6171 last_time: 1.7905 data_time: 0.0080 last_data_time: 0.0086 lr: 0.02 max_mem: 14767M +[04/10 02:39:50] d2.utils.events INFO: eta: 12:33:43 iter: 21619 total_loss: 1.829 loss_cls: 0.04233 loss_box_reg: 0.05233 loss_rpn_cls: 0.1294 loss_rpn_loc: 0.001598 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.003892 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1846 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6922 time: 1.6169 last_time: 1.7916 data_time: 0.0084 last_data_time: 0.0075 lr: 0.02 max_mem: 14767M +[04/10 02:40:21] d2.utils.events INFO: eta: 12:33:34 iter: 21639 total_loss: 2.165 loss_cls: 0.05226 loss_box_reg: 0.06809 loss_rpn_cls: 0.1105 loss_rpn_loc: 0.001517 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.002837 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5638 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6167 last_time: 1.6426 data_time: 0.0072 last_data_time: 0.0067 lr: 0.02 max_mem: 14767M +[04/10 02:40:53] d2.utils.events INFO: eta: 12:33:02 iter: 21659 total_loss: 2.191 loss_cls: 0.0338 loss_box_reg: 0.04811 loss_rpn_cls: 0.1448 loss_rpn_loc: 0.001844 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.005373 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5606 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6943 time: 1.6164 last_time: 1.4528 data_time: 0.0088 last_data_time: 0.0086 lr: 0.02 max_mem: 14767M +[04/10 02:41:27] d2.utils.events INFO: eta: 12:32:37 iter: 21679 total_loss: 2.133 loss_cls: 0.03365 loss_box_reg: 0.04503 loss_rpn_cls: 0.1289 loss_rpn_loc: 0.001709 loss_D_img_s: 0.6924 loss_cls_pseudo: 0.003826 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5251 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6169 last_time: 1.5460 data_time: 0.0080 last_data_time: 0.0089 lr: 0.02 max_mem: 14767M +[04/10 02:41:59] d2.utils.events INFO: eta: 12:32:05 iter: 21699 total_loss: 2.12 loss_cls: 0.03916 loss_box_reg: 0.04797 loss_rpn_cls: 0.1411 loss_rpn_loc: 0.001488 loss_D_img_s: 0.6919 loss_cls_pseudo: 0.003121 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5191 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6938 time: 1.6167 last_time: 1.6207 data_time: 0.0085 last_data_time: 0.0087 lr: 0.02 max_mem: 14767M +[04/10 02:42:31] d2.utils.events INFO: eta: 12:31:22 iter: 21719 total_loss: 2.152 loss_cls: 0.03523 loss_box_reg: 0.04686 loss_rpn_cls: 0.1374 loss_rpn_loc: 0.001463 loss_D_img_s: 0.6924 loss_cls_pseudo: 0.002842 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5517 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6937 time: 1.6168 last_time: 1.8435 data_time: 0.0078 last_data_time: 0.0081 lr: 0.02 max_mem: 14767M +[04/10 02:43:02] d2.utils.events INFO: eta: 12:31:01 iter: 21739 total_loss: 2.113 loss_cls: 0.03615 loss_box_reg: 0.04397 loss_rpn_cls: 0.1277 loss_rpn_loc: 0.001506 loss_D_img_s: 0.6915 loss_cls_pseudo: 0.002002 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.535 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6954 time: 1.6162 last_time: 1.7107 data_time: 0.0080 last_data_time: 0.0069 lr: 0.02 max_mem: 14767M +[04/10 02:43:35] d2.utils.events INFO: eta: 12:30:30 iter: 21759 total_loss: 2.194 loss_cls: 0.0617 loss_box_reg: 0.04568 loss_rpn_cls: 0.2575 loss_rpn_loc: 0.001683 loss_D_img_s: 0.7002 loss_cls_pseudo: 0.004502 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3902 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.686 time: 1.6161 last_time: 1.5462 data_time: 0.0086 last_data_time: 0.0082 lr: 0.02 max_mem: 14767M +[04/10 02:44:06] d2.utils.events INFO: eta: 12:29:58 iter: 21779 total_loss: 1.949 loss_cls: 0.05176 loss_box_reg: 0.05824 loss_rpn_cls: 0.1361 loss_rpn_loc: 0.001887 loss_D_img_s: 0.6976 loss_cls_pseudo: 0.005342 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2148 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6889 time: 1.6158 last_time: 1.5363 data_time: 0.0077 last_data_time: 0.0099 lr: 0.02 max_mem: 14767M +[04/10 02:44:38] d2.utils.events INFO: eta: 12:28:56 iter: 21799 total_loss: 1.745 loss_cls: 0.04293 loss_box_reg: 0.05602 loss_rpn_cls: 0.08094 loss_rpn_loc: 0.00177 loss_D_img_s: 0.6926 loss_cls_pseudo: 0.004298 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1327 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 1.6156 last_time: 1.4815 data_time: 0.0079 last_data_time: 0.0065 lr: 0.02 max_mem: 14767M +[04/10 02:45:11] d2.utils.events INFO: eta: 12:28:06 iter: 21819 total_loss: 2.01 loss_cls: 0.03883 loss_box_reg: 0.04671 loss_rpn_cls: 0.07542 loss_rpn_loc: 0.00185 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.005774 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.397 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.6156 last_time: 1.5231 data_time: 0.0076 last_data_time: 0.0059 lr: 0.02 max_mem: 14767M +[04/10 02:45:43] d2.utils.events INFO: eta: 12:27:34 iter: 21839 total_loss: 2.18 loss_cls: 0.04215 loss_box_reg: 0.04443 loss_rpn_cls: 0.2068 loss_rpn_loc: 0.001866 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.006912 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5162 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6912 time: 1.6157 last_time: 1.6583 data_time: 0.0086 last_data_time: 0.0079 lr: 0.02 max_mem: 14767M +[04/10 02:46:16] d2.utils.events INFO: eta: 12:27:32 iter: 21859 total_loss: 2.035 loss_cls: 0.04558 loss_box_reg: 0.05554 loss_rpn_cls: 0.1126 loss_rpn_loc: 0.001684 loss_D_img_s: 0.6894 loss_cls_pseudo: 0.004081 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4057 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6973 time: 1.6157 last_time: 1.5792 data_time: 0.0086 last_data_time: 0.0069 lr: 0.02 max_mem: 14767M +[04/10 02:46:48] d2.utils.events INFO: eta: 12:27:11 iter: 21879 total_loss: 2.191 loss_cls: 0.03068 loss_box_reg: 0.04319 loss_rpn_cls: 0.1568 loss_rpn_loc: 0.001993 loss_D_img_s: 0.6922 loss_cls_pseudo: 0.006671 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5527 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.695 time: 1.6156 last_time: 1.6725 data_time: 0.0084 last_data_time: 0.0078 lr: 0.02 max_mem: 14767M +[04/10 02:47:20] d2.utils.events INFO: eta: 12:26:49 iter: 21899 total_loss: 2.076 loss_cls: 0.03822 loss_box_reg: 0.04287 loss_rpn_cls: 0.1755 loss_rpn_loc: 0.001671 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.004087 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3883 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6942 time: 1.6158 last_time: 1.6655 data_time: 0.0081 last_data_time: 0.0087 lr: 0.02 max_mem: 14767M +[04/10 02:47:52] d2.utils.events INFO: eta: 12:26:12 iter: 21919 total_loss: 1.847 loss_cls: 0.0515 loss_box_reg: 0.05681 loss_rpn_cls: 0.07843 loss_rpn_loc: 0.001512 loss_D_img_s: 0.6887 loss_cls_pseudo: 0.006499 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1678 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6969 time: 1.6156 last_time: 1.4954 data_time: 0.0084 last_data_time: 0.0068 lr: 0.02 max_mem: 14767M +[04/10 02:48:24] d2.utils.events INFO: eta: 12:25:45 iter: 21939 total_loss: 2.172 loss_cls: 0.04686 loss_box_reg: 0.05202 loss_rpn_cls: 0.1085 loss_rpn_loc: 0.001521 loss_D_img_s: 0.6913 loss_cls_pseudo: 0.004785 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.573 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6959 time: 1.6154 last_time: 1.7009 data_time: 0.0083 last_data_time: 0.0097 lr: 0.02 max_mem: 14767M +[04/10 02:48:57] d2.utils.events INFO: eta: 12:25:21 iter: 21959 total_loss: 2.011 loss_cls: 0.04228 loss_box_reg: 0.04992 loss_rpn_cls: 0.1078 loss_rpn_loc: 0.001675 loss_D_img_s: 0.6916 loss_cls_pseudo: 0.00586 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.417 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6951 time: 1.6154 last_time: 1.4621 data_time: 0.0083 last_data_time: 0.0065 lr: 0.02 max_mem: 14767M +[04/10 02:49:29] d2.utils.events INFO: eta: 12:24:49 iter: 21979 total_loss: 2.062 loss_cls: 0.04066 loss_box_reg: 0.04836 loss_rpn_cls: 0.1496 loss_rpn_loc: 0.001817 loss_D_img_s: 0.6921 loss_cls_pseudo: 0.007777 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3925 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6948 time: 1.6153 last_time: 1.6113 data_time: 0.0083 last_data_time: 0.0088 lr: 0.02 max_mem: 14767M +[04/10 02:50:01] d2.data.common INFO: Serializing the dataset using: +[04/10 02:50:01] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 02:50:01] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 02:50:01] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 02:50:01] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 02:50:02] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0233 s/iter. Inference: 0.0567 s/iter. Eval: 0.0002 s/iter. Total: 0.0802 s/iter. ETA=0:00:32 +[04/10 02:50:07] d2.evaluation.evaluator INFO: Inference done 78/410. Dataloading: 0.0144 s/iter. Inference: 0.0608 s/iter. Eval: 0.0002 s/iter. Total: 0.0756 s/iter. ETA=0:00:25 +[04/10 02:50:13] d2.evaluation.evaluator INFO: Inference done 151/410. Dataloading: 0.0141 s/iter. Inference: 0.0581 s/iter. Eval: 0.0002 s/iter. Total: 0.0725 s/iter. ETA=0:00:18 +[04/10 02:50:18] d2.evaluation.evaluator INFO: Inference done 220/410. Dataloading: 0.0131 s/iter. Inference: 0.0592 s/iter. Eval: 0.0003 s/iter. Total: 0.0726 s/iter. ETA=0:00:13 +[04/10 02:50:23] d2.evaluation.evaluator INFO: Inference done 288/410. Dataloading: 0.0137 s/iter. Inference: 0.0589 s/iter. Eval: 0.0003 s/iter. Total: 0.0730 s/iter. ETA=0:00:08 +[04/10 02:50:28] d2.evaluation.evaluator INFO: Inference done 360/410. Dataloading: 0.0138 s/iter. Inference: 0.0581 s/iter. Eval: 0.0003 s/iter. Total: 0.0723 s/iter. ETA=0:00:03 +[04/10 02:50:31] d2.evaluation.evaluator INFO: Total inference time: 0:00:28.898464 (0.071354 s / iter per device, on 1 devices) +[04/10 02:50:31] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057770 s / iter per device, on 1 devices) +[04/10 02:50:31] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 02:50:31] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 02:50:31] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 02:50:31] d2.evaluation.testing INFO: copypaste: 1.1640,5.9901,0.0277 +[04/10 02:50:31] d2.data.common INFO: Serializing the dataset using: +[04/10 02:50:31] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 02:50:31] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 02:50:31] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 02:50:31] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 02:50:33] d2.evaluation.evaluator INFO: Inference done 14/410. Dataloading: 0.0180 s/iter. Inference: 0.0546 s/iter. Eval: 0.0004 s/iter. Total: 0.0731 s/iter. ETA=0:00:28 +[04/10 02:50:38] d2.evaluation.evaluator INFO: Inference done 78/410. Dataloading: 0.0183 s/iter. Inference: 0.0590 s/iter. Eval: 0.0005 s/iter. Total: 0.0779 s/iter. ETA=0:00:25 +[04/10 02:50:43] d2.evaluation.evaluator INFO: Inference done 145/410. Dataloading: 0.0154 s/iter. Inference: 0.0605 s/iter. Eval: 0.0005 s/iter. Total: 0.0766 s/iter. ETA=0:00:20 +[04/10 02:50:48] d2.evaluation.evaluator INFO: Inference done 222/410. Dataloading: 0.0135 s/iter. Inference: 0.0583 s/iter. Eval: 0.0006 s/iter. Total: 0.0725 s/iter. ETA=0:00:13 +[04/10 02:50:53] d2.evaluation.evaluator INFO: Inference done 295/410. Dataloading: 0.0134 s/iter. Inference: 0.0577 s/iter. Eval: 0.0005 s/iter. Total: 0.0717 s/iter. ETA=0:00:08 +[04/10 02:50:58] d2.evaluation.evaluator INFO: Inference done 371/410. Dataloading: 0.0130 s/iter. Inference: 0.0569 s/iter. Eval: 0.0006 s/iter. Total: 0.0705 s/iter. ETA=0:00:02 +[04/10 02:51:00] d2.evaluation.evaluator INFO: Total inference time: 0:00:28.384358 (0.070085 s / iter per device, on 1 devices) +[04/10 02:51:00] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.056442 s / iter per device, on 1 devices) +[04/10 02:51:03] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 02:51:03] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 02:51:03] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 02:51:03] d2.evaluation.testing INFO: copypaste: 0.4413,2.9499,0.0064 +[04/10 02:51:03] d2.utils.events INFO: eta: 12:24:32 iter: 21999 total_loss: 2.109 loss_cls: 0.04016 loss_box_reg: 0.04817 loss_rpn_cls: 0.1084 loss_rpn_loc: 0.001627 loss_D_img_s: 0.6923 loss_cls_pseudo: 0.003265 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5355 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 1.6153 last_time: 1.6896 data_time: 0.0080 last_data_time: 0.0071 lr: 0.02 max_mem: 14767M +[04/10 02:51:34] d2.utils.events INFO: eta: 12:24:00 iter: 22019 total_loss: 1.879 loss_cls: 0.02607 loss_box_reg: 0.03491 loss_rpn_cls: 0.1086 loss_rpn_loc: 0.001469 loss_D_img_s: 0.6915 loss_cls_pseudo: 0.004145 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2813 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6958 time: 1.6151 last_time: 1.7348 data_time: 0.0076 last_data_time: 0.0099 lr: 0.02 max_mem: 14767M +[04/10 02:52:06] d2.utils.events INFO: eta: 12:23:35 iter: 22039 total_loss: 2.147 loss_cls: 0.02659 loss_box_reg: 0.03593 loss_rpn_cls: 0.1611 loss_rpn_loc: 0.001944 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.003208 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5516 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6919 time: 1.6149 last_time: 1.5229 data_time: 0.0076 last_data_time: 0.0088 lr: 0.02 max_mem: 14767M +[04/10 02:52:39] d2.utils.events INFO: eta: 12:22:48 iter: 22059 total_loss: 1.802 loss_cls: 0.04249 loss_box_reg: 0.0536 loss_rpn_cls: 0.1051 loss_rpn_loc: 0.001651 loss_D_img_s: 0.6926 loss_cls_pseudo: 0.004185 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1926 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6949 time: 1.6150 last_time: 1.5835 data_time: 0.0078 last_data_time: 0.0088 lr: 0.02 max_mem: 14767M +[04/10 02:53:11] d2.utils.events INFO: eta: 12:21:57 iter: 22079 total_loss: 2.148 loss_cls: 0.04592 loss_box_reg: 0.04979 loss_rpn_cls: 0.1277 loss_rpn_loc: 0.001717 loss_D_img_s: 0.693 loss_cls_pseudo: 0.004707 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5397 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6932 time: 1.6149 last_time: 1.5895 data_time: 0.0076 last_data_time: 0.0119 lr: 0.02 max_mem: 14767M +[04/10 02:53:43] d2.utils.events INFO: eta: 12:21:21 iter: 22099 total_loss: 2.152 loss_cls: 0.04524 loss_box_reg: 0.05392 loss_rpn_cls: 0.1202 loss_rpn_loc: 0.001748 loss_D_img_s: 0.6957 loss_cls_pseudo: 0.00383 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5362 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6905 time: 1.6146 last_time: 1.5941 data_time: 0.0083 last_data_time: 0.0079 lr: 0.02 max_mem: 14767M +[04/10 02:54:15] d2.utils.events INFO: eta: 12:20:45 iter: 22119 total_loss: 2.139 loss_cls: 0.04574 loss_box_reg: 0.04797 loss_rpn_cls: 0.154 loss_rpn_loc: 0.001497 loss_D_img_s: 0.6954 loss_cls_pseudo: 0.005152 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5215 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6906 time: 1.6145 last_time: 1.6308 data_time: 0.0081 last_data_time: 0.0075 lr: 0.02 max_mem: 14767M +[04/10 02:54:47] d2.utils.events INFO: eta: 12:20:11 iter: 22139 total_loss: 2.149 loss_cls: 0.04493 loss_box_reg: 0.05504 loss_rpn_cls: 0.1029 loss_rpn_loc: 0.001821 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.0049 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5623 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6935 time: 1.6146 last_time: 1.5630 data_time: 0.0084 last_data_time: 0.0073 lr: 0.02 max_mem: 14767M +[04/10 02:55:20] d2.utils.events INFO: eta: 12:19:23 iter: 22159 total_loss: 2.187 loss_cls: 0.03199 loss_box_reg: 0.03591 loss_rpn_cls: 0.1949 loss_rpn_loc: 0.001452 loss_D_img_s: 0.6964 loss_cls_pseudo: 0.004843 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5176 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6902 time: 1.6148 last_time: 1.5807 data_time: 0.0086 last_data_time: 0.0080 lr: 0.02 max_mem: 14767M +[04/10 02:55:52] d2.utils.events INFO: eta: 12:18:17 iter: 22179 total_loss: 2.1 loss_cls: 0.02186 loss_box_reg: 0.03116 loss_rpn_cls: 0.1549 loss_rpn_loc: 0.001634 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.002811 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5193 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6915 time: 1.6147 last_time: 1.7422 data_time: 0.0082 last_data_time: 0.0082 lr: 0.02 max_mem: 14767M +[04/10 02:56:24] d2.utils.events INFO: eta: 12:17:14 iter: 22199 total_loss: 2.117 loss_cls: 0.03612 loss_box_reg: 0.044 loss_rpn_cls: 0.09702 loss_rpn_loc: 0.001682 loss_D_img_s: 0.6925 loss_cls_pseudo: 0.003028 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5487 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6935 time: 1.6145 last_time: 1.5356 data_time: 0.0086 last_data_time: 0.0066 lr: 0.02 max_mem: 14767M +[04/10 02:56:56] d2.utils.events INFO: eta: 12:16:23 iter: 22219 total_loss: 1.78 loss_cls: 0.04126 loss_box_reg: 0.05076 loss_rpn_cls: 0.08248 loss_rpn_loc: 0.001633 loss_D_img_s: 0.6917 loss_cls_pseudo: 0.008423 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1613 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6939 time: 1.6146 last_time: 1.5618 data_time: 0.0085 last_data_time: 0.0079 lr: 0.02 max_mem: 14767M +[04/10 02:57:29] d2.utils.events INFO: eta: 12:14:43 iter: 22239 total_loss: 1.991 loss_cls: 0.04604 loss_box_reg: 0.05724 loss_rpn_cls: 0.06163 loss_rpn_loc: 0.001731 loss_D_img_s: 0.6907 loss_cls_pseudo: 0.004631 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3857 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6963 time: 1.6145 last_time: 1.5614 data_time: 0.0078 last_data_time: 0.0072 lr: 0.02 max_mem: 14767M +[04/10 02:58:00] d2.utils.events INFO: eta: 12:13:49 iter: 22259 total_loss: 2.043 loss_cls: 0.03453 loss_box_reg: 0.04105 loss_rpn_cls: 0.1815 loss_rpn_loc: 0.00155 loss_D_img_s: 0.6948 loss_cls_pseudo: 0.004274 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3867 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6906 time: 1.6142 last_time: 1.6370 data_time: 0.0082 last_data_time: 0.0070 lr: 0.02 max_mem: 14767M +[04/10 02:58:33] d2.utils.events INFO: eta: 12:13:39 iter: 22279 total_loss: 2.167 loss_cls: 0.03391 loss_box_reg: 0.04558 loss_rpn_cls: 0.1089 loss_rpn_loc: 0.0014 loss_D_img_s: 0.693 loss_cls_pseudo: 0.004687 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5907 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6932 time: 1.6143 last_time: 1.7639 data_time: 0.0080 last_data_time: 0.0063 lr: 0.02 max_mem: 14767M +[04/10 02:59:04] d2.utils.events INFO: eta: 12:13:41 iter: 22299 total_loss: 1.845 loss_cls: 0.0402 loss_box_reg: 0.04219 loss_rpn_cls: 0.1278 loss_rpn_loc: 0.001372 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.006752 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1933 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 1.6141 last_time: 1.6074 data_time: 0.0079 last_data_time: 0.0090 lr: 0.02 max_mem: 14767M +[04/10 02:59:36] d2.utils.events INFO: eta: 12:13:08 iter: 22319 total_loss: 2.012 loss_cls: 0.03292 loss_box_reg: 0.04392 loss_rpn_cls: 0.1164 loss_rpn_loc: 0.001353 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.003595 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3986 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.6138 last_time: 1.4995 data_time: 0.0081 last_data_time: 0.0086 lr: 0.02 max_mem: 14767M +[04/10 03:00:08] d2.utils.events INFO: eta: 12:12:22 iter: 22339 total_loss: 1.797 loss_cls: 0.0386 loss_box_reg: 0.0593 loss_rpn_cls: 0.07362 loss_rpn_loc: 0.001749 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.00469 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1729 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 1.6138 last_time: 1.5697 data_time: 0.0090 last_data_time: 0.0079 lr: 0.02 max_mem: 14767M +[04/10 03:00:40] d2.utils.events INFO: eta: 12:10:51 iter: 22359 total_loss: 2.05 loss_cls: 0.04416 loss_box_reg: 0.04607 loss_rpn_cls: 0.1699 loss_rpn_loc: 0.001797 loss_D_img_s: 0.6953 loss_cls_pseudo: 0.006354 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3839 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.691 time: 1.6137 last_time: 1.5799 data_time: 0.0080 last_data_time: 0.0111 lr: 0.02 max_mem: 14767M +[04/10 03:01:12] d2.utils.events INFO: eta: 12:10:30 iter: 22379 total_loss: 2.205 loss_cls: 0.03942 loss_box_reg: 0.04583 loss_rpn_cls: 0.1574 loss_rpn_loc: 0.002198 loss_D_img_s: 0.6948 loss_cls_pseudo: 0.004449 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5554 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6915 time: 1.6136 last_time: 1.6412 data_time: 0.0082 last_data_time: 0.0092 lr: 0.02 max_mem: 14767M +[04/10 03:01:44] d2.utils.events INFO: eta: 12:09:29 iter: 22399 total_loss: 2.022 loss_cls: 0.03792 loss_box_reg: 0.04884 loss_rpn_cls: 0.1295 loss_rpn_loc: 0.001864 loss_D_img_s: 0.6926 loss_cls_pseudo: 0.003964 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.379 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 1.6134 last_time: 1.5813 data_time: 0.0073 last_data_time: 0.0096 lr: 0.02 max_mem: 14767M +[04/10 03:02:16] d2.utils.events INFO: eta: 12:09:15 iter: 22419 total_loss: 1.767 loss_cls: 0.03318 loss_box_reg: 0.04703 loss_rpn_cls: 0.09916 loss_rpn_loc: 0.001436 loss_D_img_s: 0.6917 loss_cls_pseudo: 0.002949 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1768 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6948 time: 1.6133 last_time: 1.6908 data_time: 0.0081 last_data_time: 0.0085 lr: 0.02 max_mem: 14767M +[04/10 03:02:48] d2.utils.events INFO: eta: 12:08:44 iter: 22439 total_loss: 2.15 loss_cls: 0.03712 loss_box_reg: 0.05468 loss_rpn_cls: 0.1034 loss_rpn_loc: 0.001424 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.003621 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5442 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 1.6131 last_time: 1.7098 data_time: 0.0076 last_data_time: 0.0067 lr: 0.02 max_mem: 14767M +[04/10 03:03:20] d2.utils.events INFO: eta: 12:08:18 iter: 22459 total_loss: 1.932 loss_cls: 0.0425 loss_box_reg: 0.05248 loss_rpn_cls: 0.1323 loss_rpn_loc: 0.001363 loss_D_img_s: 0.6918 loss_cls_pseudo: 0.0046 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2588 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6943 time: 1.6128 last_time: 1.5464 data_time: 0.0084 last_data_time: 0.0086 lr: 0.02 max_mem: 14767M +[04/10 03:03:52] d2.utils.events INFO: eta: 12:09:02 iter: 22479 total_loss: 2.235 loss_cls: 0.05256 loss_box_reg: 0.0564 loss_rpn_cls: 0.1349 loss_rpn_loc: 0.001553 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.004344 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.528 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.6130 last_time: 1.5288 data_time: 0.0082 last_data_time: 0.0063 lr: 0.02 max_mem: 14767M +[04/10 03:04:25] d2.utils.events INFO: eta: 12:08:31 iter: 22499 total_loss: 2.176 loss_cls: 0.03847 loss_box_reg: 0.04321 loss_rpn_cls: 0.2363 loss_rpn_loc: 0.002072 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.007444 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5033 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6130 last_time: 1.6145 data_time: 0.0079 last_data_time: 0.0070 lr: 0.02 max_mem: 14767M +[04/10 03:04:57] d2.utils.events INFO: eta: 12:08:06 iter: 22519 total_loss: 1.971 loss_cls: 0.04771 loss_box_reg: 0.05883 loss_rpn_cls: 0.08287 loss_rpn_loc: 0.001796 loss_D_img_s: 0.6915 loss_cls_pseudo: 0.003984 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3794 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6951 time: 1.6131 last_time: 1.7517 data_time: 0.0080 last_data_time: 0.0096 lr: 0.02 max_mem: 14767M +[04/10 03:05:29] d2.utils.events INFO: eta: 12:07:26 iter: 22539 total_loss: 1.968 loss_cls: 0.0351 loss_box_reg: 0.0435 loss_rpn_cls: 0.09382 loss_rpn_loc: 0.001498 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.002029 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3687 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 1.6129 last_time: 1.4814 data_time: 0.0081 last_data_time: 0.0095 lr: 0.02 max_mem: 14767M +[04/10 03:06:01] d2.utils.events INFO: eta: 12:07:13 iter: 22559 total_loss: 1.901 loss_cls: 0.03004 loss_box_reg: 0.03946 loss_rpn_cls: 0.1565 loss_rpn_loc: 0.001463 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.009344 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2241 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6916 time: 1.6129 last_time: 1.8587 data_time: 0.0088 last_data_time: 0.0068 lr: 0.02 max_mem: 14767M +[04/10 03:06:33] d2.utils.events INFO: eta: 12:06:27 iter: 22579 total_loss: 2.14 loss_cls: 0.03759 loss_box_reg: 0.04794 loss_rpn_cls: 0.1023 loss_rpn_loc: 0.001556 loss_D_img_s: 0.6941 loss_cls_pseudo: 0.004941 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5707 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6919 time: 1.6127 last_time: 1.6671 data_time: 0.0080 last_data_time: 0.0067 lr: 0.02 max_mem: 14767M +[04/10 03:07:05] d2.utils.events INFO: eta: 12:06:18 iter: 22599 total_loss: 1.83 loss_cls: 0.04078 loss_box_reg: 0.05083 loss_rpn_cls: 0.1067 loss_rpn_loc: 0.001712 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.005529 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1924 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 1.6127 last_time: 1.5956 data_time: 0.0084 last_data_time: 0.0098 lr: 0.02 max_mem: 14767M +[04/10 03:07:38] d2.utils.events INFO: eta: 12:05:57 iter: 22619 total_loss: 1.748 loss_cls: 0.04281 loss_box_reg: 0.05141 loss_rpn_cls: 0.0831 loss_rpn_loc: 0.00184 loss_D_img_s: 0.6924 loss_cls_pseudo: 0.004129 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1592 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6943 time: 1.6127 last_time: 1.6714 data_time: 0.0083 last_data_time: 0.0145 lr: 0.02 max_mem: 14767M +[04/10 03:08:10] d2.utils.events INFO: eta: 12:05:25 iter: 22639 total_loss: 2.045 loss_cls: 0.04865 loss_box_reg: 0.0534 loss_rpn_cls: 0.1682 loss_rpn_loc: 0.001261 loss_D_img_s: 0.6941 loss_cls_pseudo: 0.004191 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4108 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 1.6126 last_time: 1.5151 data_time: 0.0082 last_data_time: 0.0070 lr: 0.02 max_mem: 14767M +[04/10 03:08:41] d2.utils.events INFO: eta: 12:04:53 iter: 22659 total_loss: 1.9 loss_cls: 0.03281 loss_box_reg: 0.0445 loss_rpn_cls: 0.1503 loss_rpn_loc: 0.002091 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.005429 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2066 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 1.6124 last_time: 1.6066 data_time: 0.0076 last_data_time: 0.0086 lr: 0.02 max_mem: 14767M +[04/10 03:09:13] d2.utils.events INFO: eta: 12:04:25 iter: 22679 total_loss: 1.808 loss_cls: 0.02678 loss_box_reg: 0.03288 loss_rpn_cls: 0.07934 loss_rpn_loc: 0.001875 loss_D_img_s: 0.6938 loss_cls_pseudo: 0.005555 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.17 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 1.6122 last_time: 1.6559 data_time: 0.0085 last_data_time: 0.0065 lr: 0.02 max_mem: 14767M +[04/10 03:09:45] d2.utils.events INFO: eta: 12:03:53 iter: 22699 total_loss: 2.22 loss_cls: 0.04636 loss_box_reg: 0.04656 loss_rpn_cls: 0.1914 loss_rpn_loc: 0.0016 loss_D_img_s: 0.695 loss_cls_pseudo: 0.007601 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5459 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6912 time: 1.6122 last_time: 1.5659 data_time: 0.0085 last_data_time: 0.0075 lr: 0.02 max_mem: 14767M +[04/10 03:10:17] d2.utils.events INFO: eta: 12:03:14 iter: 22719 total_loss: 2.196 loss_cls: 0.04832 loss_box_reg: 0.0572 loss_rpn_cls: 0.1912 loss_rpn_loc: 0.001756 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.006938 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5205 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6922 time: 1.6119 last_time: 1.5291 data_time: 0.0076 last_data_time: 0.0094 lr: 0.02 max_mem: 14767M +[04/10 03:10:49] d2.utils.events INFO: eta: 12:02:37 iter: 22739 total_loss: 1.801 loss_cls: 0.03789 loss_box_reg: 0.04848 loss_rpn_cls: 0.0894 loss_rpn_loc: 0.001629 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.003421 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1676 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6935 time: 1.6118 last_time: 1.5212 data_time: 0.0082 last_data_time: 0.0071 lr: 0.02 max_mem: 14767M +[04/10 03:11:21] d2.utils.events INFO: eta: 12:02:12 iter: 22759 total_loss: 1.858 loss_cls: 0.0316 loss_box_reg: 0.04482 loss_rpn_cls: 0.1334 loss_rpn_loc: 0.001259 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.006087 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1846 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6932 time: 1.6118 last_time: 1.5588 data_time: 0.0075 last_data_time: 0.0066 lr: 0.02 max_mem: 14767M +[04/10 03:11:54] d2.utils.events INFO: eta: 12:02:14 iter: 22779 total_loss: 2.175 loss_cls: 0.02658 loss_box_reg: 0.04188 loss_rpn_cls: 0.1258 loss_rpn_loc: 0.001352 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.003438 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.573 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6936 time: 1.6122 last_time: 1.5078 data_time: 0.0078 last_data_time: 0.0070 lr: 0.02 max_mem: 14767M +[04/10 03:12:26] d2.utils.events INFO: eta: 12:01:18 iter: 22799 total_loss: 2.175 loss_cls: 0.02745 loss_box_reg: 0.04439 loss_rpn_cls: 0.1899 loss_rpn_loc: 0.001517 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.005268 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5274 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6935 time: 1.6120 last_time: 1.5957 data_time: 0.0078 last_data_time: 0.0081 lr: 0.02 max_mem: 14767M +[04/10 03:12:57] d2.utils.events INFO: eta: 12:00:25 iter: 22819 total_loss: 2.009 loss_cls: 0.02036 loss_box_reg: 0.03568 loss_rpn_cls: 0.1415 loss_rpn_loc: 0.001628 loss_D_img_s: 0.6923 loss_cls_pseudo: 0.003644 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.379 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6938 time: 1.6116 last_time: 1.4981 data_time: 0.0077 last_data_time: 0.0068 lr: 0.02 max_mem: 14767M +[04/10 03:13:29] d2.utils.events INFO: eta: 11:59:48 iter: 22839 total_loss: 2.187 loss_cls: 0.02943 loss_box_reg: 0.04875 loss_rpn_cls: 0.1142 loss_rpn_loc: 0.001513 loss_D_img_s: 0.6914 loss_cls_pseudo: 0.00344 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5929 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6944 time: 1.6115 last_time: 1.7186 data_time: 0.0081 last_data_time: 0.0064 lr: 0.02 max_mem: 14767M +[04/10 03:14:02] d2.utils.events INFO: eta: 11:59:27 iter: 22859 total_loss: 1.894 loss_cls: 0.03971 loss_box_reg: 0.049 loss_rpn_cls: 0.1411 loss_rpn_loc: 0.0017 loss_D_img_s: 0.6925 loss_cls_pseudo: 0.004026 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2051 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 1.6117 last_time: 1.5845 data_time: 0.0079 last_data_time: 0.0079 lr: 0.02 max_mem: 14767M +[04/10 03:14:34] d2.utils.events INFO: eta: 11:58:39 iter: 22879 total_loss: 2.107 loss_cls: 0.03021 loss_box_reg: 0.0445 loss_rpn_cls: 0.09311 loss_rpn_loc: 0.001389 loss_D_img_s: 0.692 loss_cls_pseudo: 0.004344 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5576 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6948 time: 1.6115 last_time: 1.4692 data_time: 0.0081 last_data_time: 0.0074 lr: 0.02 max_mem: 14767M +[04/10 03:15:05] d2.utils.events INFO: eta: 11:57:54 iter: 22899 total_loss: 1.948 loss_cls: 0.03306 loss_box_reg: 0.05147 loss_rpn_cls: 0.07714 loss_rpn_loc: 0.001791 loss_D_img_s: 0.69 loss_cls_pseudo: 0.001992 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3799 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6963 time: 1.6112 last_time: 1.5606 data_time: 0.0083 last_data_time: 0.0071 lr: 0.02 max_mem: 14767M +[04/10 03:15:37] d2.utils.events INFO: eta: 11:57:22 iter: 22919 total_loss: 2.089 loss_cls: 0.03716 loss_box_reg: 0.05111 loss_rpn_cls: 0.0913 loss_rpn_loc: 0.001416 loss_D_img_s: 0.692 loss_cls_pseudo: 0.002105 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5209 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6946 time: 1.6110 last_time: 1.4126 data_time: 0.0082 last_data_time: 0.0072 lr: 0.02 max_mem: 14767M +[04/10 03:16:09] d2.utils.events INFO: eta: 11:56:54 iter: 22939 total_loss: 2.057 loss_cls: 0.03183 loss_box_reg: 0.04364 loss_rpn_cls: 0.08078 loss_rpn_loc: 0.002176 loss_D_img_s: 0.6924 loss_cls_pseudo: 0.007781 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5247 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6946 time: 1.6110 last_time: 1.6023 data_time: 0.0080 last_data_time: 0.0071 lr: 0.02 max_mem: 14767M +[04/10 03:16:41] d2.utils.events INFO: eta: 11:56:27 iter: 22959 total_loss: 2.009 loss_cls: 0.03131 loss_box_reg: 0.05177 loss_rpn_cls: 0.1329 loss_rpn_loc: 0.001302 loss_D_img_s: 0.6952 loss_cls_pseudo: 0.001346 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3839 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6916 time: 1.6110 last_time: 1.6275 data_time: 0.0082 last_data_time: 0.0069 lr: 0.02 max_mem: 14767M +[04/10 03:17:13] d2.utils.events INFO: eta: 11:55:55 iter: 22979 total_loss: 2.099 loss_cls: 0.04131 loss_box_reg: 0.05831 loss_rpn_cls: 0.06603 loss_rpn_loc: 0.001889 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.001061 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5066 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6935 time: 1.6109 last_time: 1.4563 data_time: 0.0090 last_data_time: 0.0073 lr: 0.02 max_mem: 14767M +[04/10 03:17:44] d2.data.common INFO: Serializing the dataset using: +[04/10 03:17:44] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 03:17:44] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 03:17:44] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 03:17:44] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 03:17:46] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0312 s/iter. Inference: 0.0585 s/iter. Eval: 0.0003 s/iter. Total: 0.0900 s/iter. ETA=0:00:35 +[04/10 03:17:51] d2.evaluation.evaluator INFO: Inference done 81/410. Dataloading: 0.0144 s/iter. Inference: 0.0588 s/iter. Eval: 0.0002 s/iter. Total: 0.0734 s/iter. ETA=0:00:24 +[04/10 03:17:56] d2.evaluation.evaluator INFO: Inference done 160/410. Dataloading: 0.0116 s/iter. Inference: 0.0565 s/iter. Eval: 0.0003 s/iter. Total: 0.0684 s/iter. ETA=0:00:17 +[04/10 03:18:01] d2.evaluation.evaluator INFO: Inference done 227/410. Dataloading: 0.0126 s/iter. Inference: 0.0575 s/iter. Eval: 0.0003 s/iter. Total: 0.0704 s/iter. ETA=0:00:12 +[04/10 03:18:06] d2.evaluation.evaluator INFO: Inference done 301/410. Dataloading: 0.0119 s/iter. Inference: 0.0576 s/iter. Eval: 0.0003 s/iter. Total: 0.0699 s/iter. ETA=0:00:07 +[04/10 03:18:11] d2.evaluation.evaluator INFO: Inference done 382/410. Dataloading: 0.0112 s/iter. Inference: 0.0567 s/iter. Eval: 0.0003 s/iter. Total: 0.0682 s/iter. ETA=0:00:01 +[04/10 03:18:13] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.520213 (0.067951 s / iter per device, on 1 devices) +[04/10 03:18:13] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.056300 s / iter per device, on 1 devices) +[04/10 03:18:13] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 03:18:13] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 03:18:13] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 03:18:13] d2.evaluation.testing INFO: copypaste: 0.3629,2.5865,0.0052 +[04/10 03:18:13] d2.data.common INFO: Serializing the dataset using: +[04/10 03:18:13] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 03:18:13] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 03:18:13] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 03:18:13] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 03:18:16] d2.evaluation.evaluator INFO: Inference done 34/410. Dataloading: 0.0150 s/iter. Inference: 0.0533 s/iter. Eval: 0.0004 s/iter. Total: 0.0688 s/iter. ETA=0:00:25 +[04/10 03:18:21] d2.evaluation.evaluator INFO: Inference done 103/410. Dataloading: 0.0100 s/iter. Inference: 0.0612 s/iter. Eval: 0.0007 s/iter. Total: 0.0719 s/iter. ETA=0:00:22 +[04/10 03:18:26] d2.evaluation.evaluator INFO: Inference done 173/410. Dataloading: 0.0125 s/iter. Inference: 0.0588 s/iter. Eval: 0.0005 s/iter. Total: 0.0720 s/iter. ETA=0:00:17 +[04/10 03:18:31] d2.evaluation.evaluator INFO: Inference done 244/410. Dataloading: 0.0120 s/iter. Inference: 0.0591 s/iter. Eval: 0.0005 s/iter. Total: 0.0716 s/iter. ETA=0:00:11 +[04/10 03:18:36] d2.evaluation.evaluator INFO: Inference done 314/410. Dataloading: 0.0131 s/iter. Inference: 0.0580 s/iter. Eval: 0.0005 s/iter. Total: 0.0717 s/iter. ETA=0:00:06 +[04/10 03:18:41] d2.evaluation.evaluator INFO: Inference done 383/410. Dataloading: 0.0135 s/iter. Inference: 0.0581 s/iter. Eval: 0.0005 s/iter. Total: 0.0721 s/iter. ETA=0:00:01 +[04/10 03:18:43] d2.evaluation.evaluator INFO: Total inference time: 0:00:29.157428 (0.071994 s / iter per device, on 1 devices) +[04/10 03:18:43] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.058022 s / iter per device, on 1 devices) +[04/10 03:18:44] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 03:18:44] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 03:18:44] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 03:18:44] d2.evaluation.testing INFO: copypaste: 0.4179,2.5538,0.0000 +[04/10 03:18:44] d2.utils.events INFO: eta: 11:55:15 iter: 22999 total_loss: 1.883 loss_cls: 0.04053 loss_box_reg: 0.05114 loss_rpn_cls: 0.1008 loss_rpn_loc: 0.001487 loss_D_img_s: 0.694 loss_cls_pseudo: 0.001426 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2387 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6917 time: 1.6106 last_time: 1.5777 data_time: 0.0078 last_data_time: 0.0096 lr: 0.02 max_mem: 14767M +[04/10 03:19:16] d2.utils.events INFO: eta: 11:54:45 iter: 23019 total_loss: 1.787 loss_cls: 0.03919 loss_box_reg: 0.04822 loss_rpn_cls: 0.04177 loss_rpn_loc: 0.001601 loss_D_img_s: 0.6909 loss_cls_pseudo: 0.002091 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1855 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6953 time: 1.6104 last_time: 1.4223 data_time: 0.0084 last_data_time: 0.0082 lr: 0.02 max_mem: 14767M +[04/10 03:19:48] d2.utils.events INFO: eta: 11:54:20 iter: 23039 total_loss: 1.826 loss_cls: 0.02744 loss_box_reg: 0.03989 loss_rpn_cls: 0.09795 loss_rpn_loc: 0.001293 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.00396 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2017 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6916 time: 1.6103 last_time: 1.5852 data_time: 0.0081 last_data_time: 0.0080 lr: 0.02 max_mem: 14767M +[04/10 03:20:20] d2.utils.events INFO: eta: 11:53:41 iter: 23059 total_loss: 1.81 loss_cls: 0.0302 loss_box_reg: 0.04722 loss_rpn_cls: 0.08674 loss_rpn_loc: 0.001555 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.003557 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2057 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 1.6102 last_time: 1.4497 data_time: 0.0085 last_data_time: 0.0071 lr: 0.02 max_mem: 14767M +[04/10 03:20:51] d2.utils.events INFO: eta: 11:53:08 iter: 23079 total_loss: 2.118 loss_cls: 0.03975 loss_box_reg: 0.05593 loss_rpn_cls: 0.1001 loss_rpn_loc: 0.001663 loss_D_img_s: 0.6934 loss_cls_pseudo: 0.002035 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5403 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6933 time: 1.6100 last_time: 1.5418 data_time: 0.0074 last_data_time: 0.0067 lr: 0.02 max_mem: 14767M +[04/10 03:21:24] d2.utils.events INFO: eta: 11:52:28 iter: 23099 total_loss: 2.183 loss_cls: 0.04118 loss_box_reg: 0.05526 loss_rpn_cls: 0.09286 loss_rpn_loc: 0.001584 loss_D_img_s: 0.6924 loss_cls_pseudo: 0.001695 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5352 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6933 time: 1.6100 last_time: 1.5269 data_time: 0.0079 last_data_time: 0.0089 lr: 0.02 max_mem: 14767M +[04/10 03:21:56] d2.utils.events INFO: eta: 11:51:56 iter: 23119 total_loss: 1.947 loss_cls: 0.02975 loss_box_reg: 0.04352 loss_rpn_cls: 0.1807 loss_rpn_loc: 0.001793 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.003551 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2799 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 1.6099 last_time: 1.6020 data_time: 0.0085 last_data_time: 0.0103 lr: 0.02 max_mem: 14767M +[04/10 03:22:28] d2.utils.events INFO: eta: 11:51:04 iter: 23139 total_loss: 1.82 loss_cls: 0.03506 loss_box_reg: 0.05188 loss_rpn_cls: 0.05976 loss_rpn_loc: 0.002112 loss_D_img_s: 0.6907 loss_cls_pseudo: 0.006707 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2222 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6948 time: 1.6099 last_time: 1.5451 data_time: 0.0084 last_data_time: 0.0081 lr: 0.02 max_mem: 14767M +[04/10 03:22:59] d2.utils.events INFO: eta: 11:50:11 iter: 23159 total_loss: 2.111 loss_cls: 0.03419 loss_box_reg: 0.04991 loss_rpn_cls: 0.1199 loss_rpn_loc: 0.001267 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.002065 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5087 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6934 time: 1.6096 last_time: 1.5593 data_time: 0.0083 last_data_time: 0.0101 lr: 0.02 max_mem: 14767M +[04/10 03:23:31] d2.utils.events INFO: eta: 11:49:35 iter: 23179 total_loss: 2.177 loss_cls: 0.03973 loss_box_reg: 0.04891 loss_rpn_cls: 0.1458 loss_rpn_loc: 0.001571 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.003741 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5457 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 1.6095 last_time: 1.4471 data_time: 0.0082 last_data_time: 0.0094 lr: 0.02 max_mem: 14767M +[04/10 03:24:03] d2.utils.events INFO: eta: 11:49:29 iter: 23199 total_loss: 2.116 loss_cls: 0.03216 loss_box_reg: 0.0462 loss_rpn_cls: 0.1393 loss_rpn_loc: 0.001536 loss_D_img_s: 0.6938 loss_cls_pseudo: 0.002666 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5117 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 1.6094 last_time: 1.5557 data_time: 0.0077 last_data_time: 0.0083 lr: 0.02 max_mem: 14767M +[04/10 03:24:35] d2.utils.events INFO: eta: 11:48:51 iter: 23219 total_loss: 1.801 loss_cls: 0.03488 loss_box_reg: 0.05133 loss_rpn_cls: 0.0847 loss_rpn_loc: 0.001578 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.006482 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2362 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6932 time: 1.6093 last_time: 1.5744 data_time: 0.0080 last_data_time: 0.0083 lr: 0.02 max_mem: 14767M +[04/10 03:25:06] d2.utils.events INFO: eta: 11:48:37 iter: 23239 total_loss: 2.013 loss_cls: 0.03982 loss_box_reg: 0.05038 loss_rpn_cls: 0.1281 loss_rpn_loc: 0.001516 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.004406 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3767 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6917 time: 1.6092 last_time: 1.4114 data_time: 0.0076 last_data_time: 0.0070 lr: 0.02 max_mem: 14767M +[04/10 03:25:39] d2.utils.events INFO: eta: 11:48:18 iter: 23259 total_loss: 1.915 loss_cls: 0.03973 loss_box_reg: 0.04726 loss_rpn_cls: 0.1354 loss_rpn_loc: 0.001876 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.006023 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2374 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.6092 last_time: 1.5496 data_time: 0.0079 last_data_time: 0.0067 lr: 0.02 max_mem: 14767M +[04/10 03:26:11] d2.utils.events INFO: eta: 11:47:50 iter: 23279 total_loss: 1.85 loss_cls: 0.03221 loss_box_reg: 0.04611 loss_rpn_cls: 0.0948 loss_rpn_loc: 0.001586 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.005738 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1975 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6934 time: 1.6094 last_time: 1.6301 data_time: 0.0081 last_data_time: 0.0084 lr: 0.02 max_mem: 14767M +[04/10 03:26:43] d2.utils.events INFO: eta: 11:46:50 iter: 23299 total_loss: 2.133 loss_cls: 0.02144 loss_box_reg: 0.03733 loss_rpn_cls: 0.1006 loss_rpn_loc: 0.001348 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.00256 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5625 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.6091 last_time: 1.6541 data_time: 0.0084 last_data_time: 0.0101 lr: 0.02 max_mem: 14767M +[04/10 03:27:15] d2.utils.events INFO: eta: 11:46:45 iter: 23319 total_loss: 1.822 loss_cls: 0.02599 loss_box_reg: 0.04205 loss_rpn_cls: 0.1093 loss_rpn_loc: 0.001618 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.004662 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.188 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6936 time: 1.6090 last_time: 1.5089 data_time: 0.0079 last_data_time: 0.0059 lr: 0.02 max_mem: 14767M +[04/10 03:27:47] d2.utils.events INFO: eta: 11:46:10 iter: 23339 total_loss: 2.112 loss_cls: 0.02889 loss_box_reg: 0.04772 loss_rpn_cls: 0.0922 loss_rpn_loc: 0.00171 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.001509 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5565 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6935 time: 1.6090 last_time: 1.7198 data_time: 0.0079 last_data_time: 0.0082 lr: 0.02 max_mem: 14767M +[04/10 03:28:19] d2.utils.events INFO: eta: 11:45:35 iter: 23359 total_loss: 2.108 loss_cls: 0.03306 loss_box_reg: 0.05305 loss_rpn_cls: 0.1241 loss_rpn_loc: 0.001841 loss_D_img_s: 0.693 loss_cls_pseudo: 0.001794 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5029 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6089 last_time: 1.5242 data_time: 0.0075 last_data_time: 0.0079 lr: 0.02 max_mem: 14767M +[04/10 03:28:50] d2.utils.events INFO: eta: 11:44:43 iter: 23379 total_loss: 2.066 loss_cls: 0.03302 loss_box_reg: 0.04506 loss_rpn_cls: 0.09449 loss_rpn_loc: 0.001354 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.0007498 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5065 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 1.6086 last_time: 1.6669 data_time: 0.0081 last_data_time: 0.0071 lr: 0.02 max_mem: 14767M +[04/10 03:29:21] d2.utils.events INFO: eta: 11:43:48 iter: 23399 total_loss: 2.085 loss_cls: 0.0269 loss_box_reg: 0.03994 loss_rpn_cls: 0.1166 loss_rpn_loc: 0.0014 loss_D_img_s: 0.6924 loss_cls_pseudo: 0.001147 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5249 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6944 time: 1.6083 last_time: 1.5839 data_time: 0.0072 last_data_time: 0.0064 lr: 0.02 max_mem: 14767M +[04/10 03:29:53] d2.utils.events INFO: eta: 11:43:13 iter: 23419 total_loss: 1.735 loss_cls: 0.02888 loss_box_reg: 0.04578 loss_rpn_cls: 0.06288 loss_rpn_loc: 0.001445 loss_D_img_s: 0.6908 loss_cls_pseudo: 0.004566 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2065 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6951 time: 1.6082 last_time: 1.6415 data_time: 0.0081 last_data_time: 0.0088 lr: 0.02 max_mem: 14767M +[04/10 03:30:25] d2.utils.events INFO: eta: 11:42:47 iter: 23439 total_loss: 1.975 loss_cls: 0.03112 loss_box_reg: 0.04238 loss_rpn_cls: 0.08268 loss_rpn_loc: 0.001607 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.008893 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4179 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6938 time: 1.6081 last_time: 1.4899 data_time: 0.0079 last_data_time: 0.0097 lr: 0.02 max_mem: 14767M +[04/10 03:30:57] d2.utils.events INFO: eta: 11:41:49 iter: 23459 total_loss: 2.206 loss_cls: 0.04587 loss_box_reg: 0.05267 loss_rpn_cls: 0.1867 loss_rpn_loc: 0.001529 loss_D_img_s: 0.6962 loss_cls_pseudo: 0.008199 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5166 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6899 time: 1.6080 last_time: 1.6648 data_time: 0.0079 last_data_time: 0.0077 lr: 0.02 max_mem: 14767M +[04/10 03:31:28] d2.utils.events INFO: eta: 11:40:26 iter: 23479 total_loss: 1.897 loss_cls: 0.0328 loss_box_reg: 0.03644 loss_rpn_cls: 0.1339 loss_rpn_loc: 0.001634 loss_D_img_s: 0.6938 loss_cls_pseudo: 0.003993 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2259 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 1.6078 last_time: 1.5012 data_time: 0.0085 last_data_time: 0.0104 lr: 0.02 max_mem: 14767M +[04/10 03:32:00] d2.utils.events INFO: eta: 11:39:20 iter: 23499 total_loss: 2.076 loss_cls: 0.04095 loss_box_reg: 0.0461 loss_rpn_cls: 0.08834 loss_rpn_loc: 0.001583 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.001183 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.537 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 1.6076 last_time: 1.5602 data_time: 0.0086 last_data_time: 0.0103 lr: 0.02 max_mem: 14767M +[04/10 03:32:32] d2.utils.events INFO: eta: 11:38:55 iter: 23519 total_loss: 1.851 loss_cls: 0.04511 loss_box_reg: 0.05517 loss_rpn_cls: 0.1031 loss_rpn_loc: 0.001426 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.007129 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2064 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6932 time: 1.6076 last_time: 1.5324 data_time: 0.0085 last_data_time: 0.0077 lr: 0.02 max_mem: 14767M +[04/10 03:33:04] d2.utils.events INFO: eta: 11:38:33 iter: 23539 total_loss: 2.024 loss_cls: 0.03424 loss_box_reg: 0.04579 loss_rpn_cls: 0.1235 loss_rpn_loc: 0.001585 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.004489 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4265 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 1.6076 last_time: 1.4926 data_time: 0.0082 last_data_time: 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loss_rpn_loc: 0.001432 loss_D_img_s: 0.6917 loss_cls_pseudo: 0.00412 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.378 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6953 time: 1.6074 last_time: 1.6987 data_time: 0.0093 last_data_time: 0.0084 lr: 0.02 max_mem: 14767M +[04/10 03:35:12] d2.utils.events INFO: eta: 11:35:50 iter: 23619 total_loss: 2.128 loss_cls: 0.03237 loss_box_reg: 0.04004 loss_rpn_cls: 0.112 loss_rpn_loc: 0.00128 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.003285 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5505 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 1.6074 last_time: 1.7212 data_time: 0.0078 last_data_time: 0.0079 lr: 0.02 max_mem: 14767M +[04/10 03:35:43] d2.utils.events INFO: eta: 11:35:18 iter: 23639 total_loss: 1.943 loss_cls: 0.02694 loss_box_reg: 0.03881 loss_rpn_cls: 0.1226 loss_rpn_loc: 0.001568 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.00468 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2759 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6933 time: 1.6072 last_time: 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loss_box_reg: 0.05274 loss_rpn_cls: 0.08117 loss_rpn_loc: 0.001814 loss_D_img_s: 0.6926 loss_cls_pseudo: 0.00116 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5514 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6939 time: 1.6072 last_time: 1.5741 data_time: 0.0080 last_data_time: 0.0078 lr: 0.02 max_mem: 14767M +[04/10 03:37:52] d2.utils.events INFO: eta: 11:33:07 iter: 23719 total_loss: 2.089 loss_cls: 0.02954 loss_box_reg: 0.05242 loss_rpn_cls: 0.07947 loss_rpn_loc: 0.001649 loss_D_img_s: 0.693 loss_cls_pseudo: 0.001607 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5322 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6071 last_time: 1.5331 data_time: 0.0077 last_data_time: 0.0086 lr: 0.02 max_mem: 14767M +[04/10 03:38:24] d2.utils.events INFO: eta: 11:32:56 iter: 23739 total_loss: 1.813 loss_cls: 0.02203 loss_box_reg: 0.04003 loss_rpn_cls: 0.0753 loss_rpn_loc: 0.001597 loss_D_img_s: 0.6921 loss_cls_pseudo: 0.001802 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2365 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 1.6071 last_time: 1.4940 data_time: 0.0078 last_data_time: 0.0088 lr: 0.02 max_mem: 14767M +[04/10 03:38:55] d2.utils.events INFO: eta: 11:32:01 iter: 23759 total_loss: 1.878 loss_cls: 0.03212 loss_box_reg: 0.04574 loss_rpn_cls: 0.09606 loss_rpn_loc: 0.001323 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.001559 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2267 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 1.6070 last_time: 1.5414 data_time: 0.0080 last_data_time: 0.0069 lr: 0.02 max_mem: 14767M +[04/10 03:39:28] d2.utils.events INFO: eta: 11:30:56 iter: 23779 total_loss: 1.867 loss_cls: 0.03172 loss_box_reg: 0.0438 loss_rpn_cls: 0.05623 loss_rpn_loc: 0.001455 loss_D_img_s: 0.6922 loss_cls_pseudo: 0.0112 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2316 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6947 time: 1.6070 last_time: 1.5675 data_time: 0.0082 last_data_time: 0.0071 lr: 0.02 max_mem: 14767M +[04/10 03:39:59] d2.utils.events INFO: eta: 11:30:24 iter: 23799 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loss_rpn_cls_pseudo: 0.4968 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6912 time: 1.6066 last_time: 1.5630 data_time: 0.0081 last_data_time: 0.0077 lr: 0.02 max_mem: 14767M +[04/10 03:41:34] d2.utils.events INFO: eta: 11:28:14 iter: 23859 total_loss: 2.086 loss_cls: 0.02732 loss_box_reg: 0.03643 loss_rpn_cls: 0.1092 loss_rpn_loc: 0.001478 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.002987 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5133 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6933 time: 1.6064 last_time: 1.5173 data_time: 0.0079 last_data_time: 0.0071 lr: 0.02 max_mem: 14767M +[04/10 03:42:06] d2.utils.events INFO: eta: 11:27:42 iter: 23879 total_loss: 2.058 loss_cls: 0.02883 loss_box_reg: 0.04239 loss_rpn_cls: 0.0661 loss_rpn_loc: 0.001653 loss_D_img_s: 0.692 loss_cls_pseudo: 0.0009372 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5261 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6939 time: 1.6063 last_time: 1.5195 data_time: 0.0078 last_data_time: 0.0065 lr: 0.02 max_mem: 14767M +[04/10 03:42:38] d2.utils.events INFO: eta: 11:27:26 iter: 23899 total_loss: 2.078 loss_cls: 0.02692 loss_box_reg: 0.0446 loss_rpn_cls: 0.08832 loss_rpn_loc: 0.001709 loss_D_img_s: 0.6926 loss_cls_pseudo: 0.001565 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5163 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6934 time: 1.6064 last_time: 1.5227 data_time: 0.0079 last_data_time: 0.0073 lr: 0.02 max_mem: 14767M +[04/10 03:43:10] d2.utils.events INFO: eta: 11:26:39 iter: 23919 total_loss: 2.048 loss_cls: 0.02901 loss_box_reg: 0.04275 loss_rpn_cls: 0.1517 loss_rpn_loc: 0.001394 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.001482 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3989 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6916 time: 1.6063 last_time: 1.5786 data_time: 0.0076 last_data_time: 0.0125 lr: 0.02 max_mem: 14767M +[04/10 03:43:42] d2.utils.events INFO: eta: 11:26:08 iter: 23939 total_loss: 2.067 loss_cls: 0.03666 loss_box_reg: 0.04666 loss_rpn_cls: 0.08671 loss_rpn_loc: 0.001774 loss_D_img_s: 0.6922 loss_cls_pseudo: 0.003515 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5088 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6944 time: 1.6062 last_time: 1.8286 data_time: 0.0086 last_data_time: 0.0071 lr: 0.02 max_mem: 14767M +[04/10 03:44:13] d2.utils.events INFO: eta: 11:25:29 iter: 23959 total_loss: 2.056 loss_cls: 0.03526 loss_box_reg: 0.04313 loss_rpn_cls: 0.08897 loss_rpn_loc: 0.001689 loss_D_img_s: 0.6926 loss_cls_pseudo: 0.004341 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5165 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 1.6061 last_time: 1.7805 data_time: 0.0086 last_data_time: 0.0086 lr: 0.02 max_mem: 14767M +[04/10 03:44:45] d2.utils.events INFO: eta: 11:24:59 iter: 23979 total_loss: 1.782 loss_cls: 0.03541 loss_box_reg: 0.05218 loss_rpn_cls: 0.08236 loss_rpn_loc: 0.001861 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.006491 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2077 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 1.6060 last_time: 1.5093 data_time: 0.0081 last_data_time: 0.0064 lr: 0.02 max_mem: 14767M +[04/10 03:45:17] d2.data.common INFO: Serializing the dataset using: +[04/10 03:45:17] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 03:45:17] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 03:45:17] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 03:45:17] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 03:45:18] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0072 s/iter. Inference: 0.0540 s/iter. Eval: 0.0002 s/iter. Total: 0.0614 s/iter. ETA=0:00:24 +[04/10 03:45:23] d2.evaluation.evaluator INFO: Inference done 81/410. Dataloading: 0.0178 s/iter. Inference: 0.0529 s/iter. Eval: 0.0002 s/iter. Total: 0.0709 s/iter. ETA=0:00:23 +[04/10 03:45:28] d2.evaluation.evaluator INFO: Inference done 157/410. Dataloading: 0.0144 s/iter. Inference: 0.0540 s/iter. Eval: 0.0002 s/iter. Total: 0.0686 s/iter. ETA=0:00:17 +[04/10 03:45:33] d2.evaluation.evaluator INFO: Inference done 238/410. Dataloading: 0.0125 s/iter. Inference: 0.0538 s/iter. Eval: 0.0002 s/iter. Total: 0.0666 s/iter. ETA=0:00:11 +[04/10 03:45:38] d2.evaluation.evaluator INFO: Inference done 317/410. Dataloading: 0.0114 s/iter. Inference: 0.0541 s/iter. Eval: 0.0002 s/iter. Total: 0.0657 s/iter. ETA=0:00:06 +[04/10 03:45:43] d2.evaluation.evaluator INFO: Inference done 396/410. Dataloading: 0.0111 s/iter. Inference: 0.0539 s/iter. Eval: 0.0002 s/iter. Total: 0.0653 s/iter. ETA=0:00:00 +[04/10 03:45:44] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.440819 (0.065286 s / iter per device, on 1 devices) +[04/10 03:45:44] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:21 (0.053877 s / iter per device, on 1 devices) +[04/10 03:45:44] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 03:45:44] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 03:45:44] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 03:45:44] d2.evaluation.testing INFO: copypaste: 1.1196,8.1028,0.0000 +[04/10 03:45:44] d2.data.common INFO: Serializing the dataset using: +[04/10 03:45:44] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 03:45:44] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 03:45:44] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 03:45:44] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 03:45:48] d2.evaluation.evaluator INFO: Inference done 47/410. Dataloading: 0.0163 s/iter. Inference: 0.0572 s/iter. Eval: 0.0006 s/iter. Total: 0.0741 s/iter. ETA=0:00:26 +[04/10 03:45:53] d2.evaluation.evaluator INFO: Inference done 112/410. Dataloading: 0.0166 s/iter. Inference: 0.0593 s/iter. Eval: 0.0005 s/iter. Total: 0.0765 s/iter. ETA=0:00:22 +[04/10 03:45:58] d2.evaluation.evaluator INFO: Inference done 185/410. Dataloading: 0.0137 s/iter. Inference: 0.0592 s/iter. Eval: 0.0004 s/iter. Total: 0.0734 s/iter. ETA=0:00:16 +[04/10 03:46:03] d2.evaluation.evaluator INFO: Inference done 260/410. Dataloading: 0.0134 s/iter. Inference: 0.0577 s/iter. Eval: 0.0004 s/iter. Total: 0.0716 s/iter. ETA=0:00:10 +[04/10 03:46:08] d2.evaluation.evaluator INFO: Inference done 332/410. Dataloading: 0.0140 s/iter. Inference: 0.0567 s/iter. Eval: 0.0004 s/iter. Total: 0.0711 s/iter. ETA=0:00:05 +[04/10 03:46:13] d2.evaluation.evaluator INFO: Inference done 409/410. Dataloading: 0.0132 s/iter. Inference: 0.0563 s/iter. Eval: 0.0004 s/iter. Total: 0.0700 s/iter. ETA=0:00:00 +[04/10 03:46:14] d2.evaluation.evaluator INFO: Total inference time: 0:00:28.417178 (0.070166 s / iter per device, on 1 devices) +[04/10 03:46:14] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.056279 s / iter per device, on 1 devices) +[04/10 03:46:15] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 03:46:15] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 03:46:15] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 03:46:15] d2.evaluation.testing INFO: copypaste: 0.6475,4.8002,0.0176 +[04/10 03:46:15] d2.utils.events INFO: eta: 11:24:33 iter: 23999 total_loss: 1.742 loss_cls: 0.03904 loss_box_reg: 0.05281 loss_rpn_cls: 0.05827 loss_rpn_loc: 0.00147 loss_D_img_s: 0.6918 loss_cls_pseudo: 0.002629 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1554 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6948 time: 1.6059 last_time: 1.5579 data_time: 0.0081 last_data_time: 0.0063 lr: 0.02 max_mem: 14767M +[04/10 03:46:46] d2.utils.events INFO: eta: 11:23:57 iter: 24019 total_loss: 1.983 loss_cls: 0.03581 loss_box_reg: 0.04512 loss_rpn_cls: 0.1065 loss_rpn_loc: 0.001515 loss_D_img_s: 0.6926 loss_cls_pseudo: 0.002792 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3728 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.6058 last_time: 1.5559 data_time: 0.0082 last_data_time: 0.0072 lr: 0.02 max_mem: 14767M +[04/10 03:47:18] d2.utils.events INFO: eta: 11:23:24 iter: 24039 total_loss: 2.021 loss_cls: 0.03539 loss_box_reg: 0.05755 loss_rpn_cls: 0.1057 loss_rpn_loc: 0.001305 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.00676 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3951 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 1.6057 last_time: 1.6287 data_time: 0.0084 last_data_time: 0.0094 lr: 0.02 max_mem: 14767M +[04/10 03:47:50] d2.utils.events INFO: eta: 11:22:53 iter: 24059 total_loss: 2.003 loss_cls: 0.03386 loss_box_reg: 0.04577 loss_rpn_cls: 0.1273 loss_rpn_loc: 0.001311 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.002929 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3685 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 1.6057 last_time: 1.4523 data_time: 0.0083 last_data_time: 0.0071 lr: 0.02 max_mem: 14767M +[04/10 03:48:22] d2.utils.events INFO: eta: 11:22:23 iter: 24079 total_loss: 2.09 loss_cls: 0.03703 loss_box_reg: 0.04313 loss_rpn_cls: 0.1166 loss_rpn_loc: 0.001496 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.002702 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5301 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6057 last_time: 1.6033 data_time: 0.0082 last_data_time: 0.0082 lr: 0.02 max_mem: 14767M +[04/10 03:48:54] d2.utils.events INFO: eta: 11:21:48 iter: 24099 total_loss: 2.117 loss_cls: 0.02604 loss_box_reg: 0.04189 loss_rpn_cls: 0.1008 loss_rpn_loc: 0.0013 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.004354 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5579 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 1.6056 last_time: 1.5166 data_time: 0.0081 last_data_time: 0.0112 lr: 0.02 max_mem: 14767M +[04/10 03:49:26] d2.utils.events INFO: eta: 11:21:16 iter: 24119 total_loss: 2.056 loss_cls: 0.04027 loss_box_reg: 0.05203 loss_rpn_cls: 0.1497 loss_rpn_loc: 0.001715 loss_D_img_s: 0.6958 loss_cls_pseudo: 0.00273 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3975 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6898 time: 1.6056 last_time: 1.7385 data_time: 0.0082 last_data_time: 0.0077 lr: 0.02 max_mem: 14767M +[04/10 03:49:58] d2.utils.events INFO: eta: 11:20:24 iter: 24139 total_loss: 1.804 loss_cls: 0.03099 loss_box_reg: 0.04921 loss_rpn_cls: 0.1053 loss_rpn_loc: 0.00148 loss_D_img_s: 0.6941 loss_cls_pseudo: 0.006839 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1903 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 1.6055 last_time: 1.6729 data_time: 0.0074 last_data_time: 0.0064 lr: 0.02 max_mem: 14767M +[04/10 03:50:30] d2.utils.events INFO: eta: 11:20:16 iter: 24159 total_loss: 2.109 loss_cls: 0.03087 loss_box_reg: 0.04986 loss_rpn_cls: 0.09187 loss_rpn_loc: 0.001363 loss_D_img_s: 0.693 loss_cls_pseudo: 0.003595 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.541 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6937 time: 1.6055 last_time: 1.4796 data_time: 0.0081 last_data_time: 0.0065 lr: 0.02 max_mem: 14767M +[04/10 03:51:02] d2.utils.events INFO: eta: 11:19:18 iter: 24179 total_loss: 2.123 loss_cls: 0.04402 loss_box_reg: 0.05736 loss_rpn_cls: 0.09512 loss_rpn_loc: 0.001445 loss_D_img_s: 0.693 loss_cls_pseudo: 0.008521 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5318 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 1.6054 last_time: 1.5313 data_time: 0.0081 last_data_time: 0.0072 lr: 0.02 max_mem: 14767M +[04/10 03:51:34] d2.utils.events INFO: eta: 11:18:35 iter: 24199 total_loss: 2.087 loss_cls: 0.03314 loss_box_reg: 0.05685 loss_rpn_cls: 0.09702 loss_rpn_loc: 0.002056 loss_D_img_s: 0.6924 loss_cls_pseudo: 0.00356 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5159 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6942 time: 1.6054 last_time: 1.5058 data_time: 0.0079 last_data_time: 0.0071 lr: 0.02 max_mem: 14767M +[04/10 03:52:06] d2.utils.events INFO: eta: 11:18:07 iter: 24219 total_loss: 2.093 loss_cls: 0.03554 loss_box_reg: 0.05126 loss_rpn_cls: 0.1082 loss_rpn_loc: 0.001647 loss_D_img_s: 0.6923 loss_cls_pseudo: 0.002935 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5181 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6934 time: 1.6053 last_time: 1.7252 data_time: 0.0079 last_data_time: 0.0080 lr: 0.02 max_mem: 14767M +[04/10 03:52:38] d2.utils.events INFO: eta: 11:17:29 iter: 24239 total_loss: 1.78 loss_cls: 0.02261 loss_box_reg: 0.04424 loss_rpn_cls: 0.08063 loss_rpn_loc: 0.001502 loss_D_img_s: 0.6918 loss_cls_pseudo: 0.004446 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1919 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6944 time: 1.6053 last_time: 1.7288 data_time: 0.0079 last_data_time: 0.0090 lr: 0.02 max_mem: 14767M +[04/10 03:53:09] d2.utils.events INFO: eta: 11:16:54 iter: 24259 total_loss: 2.066 loss_cls: 0.01941 loss_box_reg: 0.03926 loss_rpn_cls: 0.06178 loss_rpn_loc: 0.001562 loss_D_img_s: 0.6921 loss_cls_pseudo: 0.003204 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5474 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6939 time: 1.6052 last_time: 1.5891 data_time: 0.0083 last_data_time: 0.0084 lr: 0.02 max_mem: 14767M +[04/10 03:53:41] d2.utils.events INFO: eta: 11:16:25 iter: 24279 total_loss: 2.178 loss_cls: 0.04129 loss_box_reg: 0.04649 loss_rpn_cls: 0.1771 loss_rpn_loc: 0.001252 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.004929 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5116 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6906 time: 1.6051 last_time: 1.4730 data_time: 0.0086 last_data_time: 0.0078 lr: 0.02 max_mem: 14767M +[04/10 03:54:13] d2.utils.events INFO: eta: 11:16:01 iter: 24299 total_loss: 1.983 loss_cls: 0.02561 loss_box_reg: 0.04329 loss_rpn_cls: 0.1087 loss_rpn_loc: 0.001503 loss_D_img_s: 0.6917 loss_cls_pseudo: 0.003901 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3857 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6943 time: 1.6051 last_time: 1.6769 data_time: 0.0088 last_data_time: 0.0083 lr: 0.02 max_mem: 14767M +[04/10 03:54:45] d2.utils.events INFO: eta: 11:15:26 iter: 24319 total_loss: 1.934 loss_cls: 0.02252 loss_box_reg: 0.0337 loss_rpn_cls: 0.08801 loss_rpn_loc: 0.00113 loss_D_img_s: 0.6925 loss_cls_pseudo: 0.0005417 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3728 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6938 time: 1.6051 last_time: 1.5751 data_time: 0.0079 last_data_time: 0.0080 lr: 0.02 max_mem: 14767M +[04/10 03:55:17] d2.utils.events INFO: eta: 11:14:40 iter: 24339 total_loss: 1.783 loss_cls: 0.03584 loss_box_reg: 0.04524 loss_rpn_cls: 0.07683 loss_rpn_loc: 0.001319 loss_D_img_s: 0.6915 loss_cls_pseudo: 0.003689 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2146 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6951 time: 1.6049 last_time: 1.4837 data_time: 0.0086 last_data_time: 0.0102 lr: 0.02 max_mem: 14767M +[04/10 03:55:49] d2.utils.events INFO: eta: 11:14:23 iter: 24359 total_loss: 1.785 loss_cls: 0.02799 loss_box_reg: 0.04872 loss_rpn_cls: 0.1091 loss_rpn_loc: 0.001465 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.005461 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2018 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 1.6049 last_time: 1.6063 data_time: 0.0081 last_data_time: 0.0096 lr: 0.02 max_mem: 14767M +[04/10 03:56:21] d2.utils.events INFO: eta: 11:14:02 iter: 24379 total_loss: 1.934 loss_cls: 0.02503 loss_box_reg: 0.04281 loss_rpn_cls: 0.06821 loss_rpn_loc: 0.001447 loss_D_img_s: 0.6915 loss_cls_pseudo: 0.004681 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3803 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6942 time: 1.6049 last_time: 1.5534 data_time: 0.0079 last_data_time: 0.0061 lr: 0.02 max_mem: 14767M +[04/10 03:56:53] d2.utils.events INFO: eta: 11:13:34 iter: 24399 total_loss: 2.114 loss_cls: 0.03634 loss_box_reg: 0.04679 loss_rpn_cls: 0.1045 loss_rpn_loc: 0.001406 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.001982 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5299 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 1.6049 last_time: 1.5043 data_time: 0.0081 last_data_time: 0.0089 lr: 0.02 max_mem: 14767M +[04/10 03:57:25] d2.utils.events INFO: eta: 11:12:59 iter: 24419 total_loss: 1.789 loss_cls: 0.02858 loss_box_reg: 0.04862 loss_rpn_cls: 0.1033 loss_rpn_loc: 0.001492 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.007723 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2076 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6936 time: 1.6048 last_time: 1.5338 data_time: 0.0083 last_data_time: 0.0095 lr: 0.02 max_mem: 14767M +[04/10 03:57:57] d2.utils.events INFO: eta: 11:12:27 iter: 24439 total_loss: 2.071 loss_cls: 0.0261 loss_box_reg: 0.04225 loss_rpn_cls: 0.07939 loss_rpn_loc: 0.0013 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.002912 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.544 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6933 time: 1.6048 last_time: 1.5665 data_time: 0.0088 last_data_time: 0.0097 lr: 0.02 max_mem: 14767M +[04/10 03:58:28] d2.utils.events INFO: eta: 11:11:56 iter: 24459 total_loss: 2.119 loss_cls: 0.0304 loss_box_reg: 0.04267 loss_rpn_cls: 0.1269 loss_rpn_loc: 0.001832 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.003952 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.521 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6046 last_time: 1.6629 data_time: 0.0083 last_data_time: 0.0071 lr: 0.02 max_mem: 14767M +[04/10 03:59:00] d2.utils.events INFO: eta: 11:11:32 iter: 24479 total_loss: 1.824 loss_cls: 0.0359 loss_box_reg: 0.04634 loss_rpn_cls: 0.07066 loss_rpn_loc: 0.001472 loss_D_img_s: 0.6918 loss_cls_pseudo: 0.003236 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2165 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6949 time: 1.6047 last_time: 1.4848 data_time: 0.0084 last_data_time: 0.0057 lr: 0.02 max_mem: 14767M +[04/10 03:59:32] d2.utils.events INFO: eta: 11:11:24 iter: 24499 total_loss: 2.074 loss_cls: 0.02426 loss_box_reg: 0.04751 loss_rpn_cls: 0.07135 loss_rpn_loc: 0.001601 loss_D_img_s: 0.6919 loss_cls_pseudo: 0.001474 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.525 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6953 time: 1.6047 last_time: 1.6090 data_time: 0.0079 last_data_time: 0.0063 lr: 0.02 max_mem: 14767M +[04/10 04:00:04] d2.utils.events INFO: eta: 11:10:52 iter: 24519 total_loss: 1.808 loss_cls: 0.03364 loss_box_reg: 0.04347 loss_rpn_cls: 0.06431 loss_rpn_loc: 0.001419 loss_D_img_s: 0.6909 loss_cls_pseudo: 0.004995 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2301 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6951 time: 1.6046 last_time: 1.5501 data_time: 0.0088 last_data_time: 0.0093 lr: 0.02 max_mem: 14767M +[04/10 04:00:36] d2.utils.events INFO: eta: 11:10:26 iter: 24539 total_loss: 2.145 loss_cls: 0.0358 loss_box_reg: 0.04894 loss_rpn_cls: 0.1136 loss_rpn_loc: 0.001513 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.004119 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5305 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 1.6046 last_time: 1.6473 data_time: 0.0073 last_data_time: 0.0078 lr: 0.02 max_mem: 14767M +[04/10 04:01:08] d2.utils.events INFO: eta: 11:09:44 iter: 24559 total_loss: 1.89 loss_cls: 0.03545 loss_box_reg: 0.04325 loss_rpn_cls: 0.1315 loss_rpn_loc: 0.00169 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.00415 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2608 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 1.6045 last_time: 1.4561 data_time: 0.0082 last_data_time: 0.0056 lr: 0.02 max_mem: 14767M +[04/10 04:01:39] d2.utils.events INFO: eta: 11:09:10 iter: 24579 total_loss: 2.134 loss_cls: 0.02688 loss_box_reg: 0.04598 loss_rpn_cls: 0.1064 loss_rpn_loc: 0.001478 loss_D_img_s: 0.6941 loss_cls_pseudo: 0.003387 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5316 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6919 time: 1.6043 last_time: 1.4926 data_time: 0.0082 last_data_time: 0.0064 lr: 0.02 max_mem: 14767M +[04/10 04:02:11] d2.utils.events INFO: eta: 11:08:39 iter: 24599 total_loss: 2.119 loss_cls: 0.03117 loss_box_reg: 0.03854 loss_rpn_cls: 0.1313 loss_rpn_loc: 0.001515 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.001189 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5176 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6909 time: 1.6043 last_time: 1.4328 data_time: 0.0082 last_data_time: 0.0086 lr: 0.02 max_mem: 14767M +[04/10 04:02:43] d2.utils.events INFO: eta: 11:08:07 iter: 24619 total_loss: 2.092 loss_cls: 0.03038 loss_box_reg: 0.04798 loss_rpn_cls: 0.09344 loss_rpn_loc: 0.001359 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.001769 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5171 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 1.6043 last_time: 1.6864 data_time: 0.0079 last_data_time: 0.0067 lr: 0.02 max_mem: 14767M +[04/10 04:03:14] d2.utils.events INFO: eta: 11:07:23 iter: 24639 total_loss: 1.849 loss_cls: 0.02659 loss_box_reg: 0.04458 loss_rpn_cls: 0.08842 loss_rpn_loc: 0.001152 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.002329 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2152 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 1.6041 last_time: 1.5882 data_time: 0.0078 last_data_time: 0.0065 lr: 0.02 max_mem: 14767M +[04/10 04:03:46] d2.utils.events INFO: eta: 11:06:51 iter: 24659 total_loss: 1.866 loss_cls: 0.02916 loss_box_reg: 0.03826 loss_rpn_cls: 0.07752 loss_rpn_loc: 0.001511 loss_D_img_s: 0.6923 loss_cls_pseudo: 0.008881 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2392 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6942 time: 1.6040 last_time: 1.6666 data_time: 0.0082 last_data_time: 0.0092 lr: 0.02 max_mem: 14767M +[04/10 04:04:18] d2.utils.events INFO: eta: 11:06:10 iter: 24679 total_loss: 1.924 loss_cls: 0.03383 loss_box_reg: 0.04667 loss_rpn_cls: 0.08775 loss_rpn_loc: 0.001612 loss_D_img_s: 0.692 loss_cls_pseudo: 0.004089 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2418 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6936 time: 1.6040 last_time: 1.5470 data_time: 0.0083 last_data_time: 0.0096 lr: 0.02 max_mem: 14767M +[04/10 04:04:50] d2.utils.events INFO: eta: 11:05:37 iter: 24699 total_loss: 1.741 loss_cls: 0.02057 loss_box_reg: 0.03827 loss_rpn_cls: 0.06101 loss_rpn_loc: 0.001651 loss_D_img_s: 0.6917 loss_cls_pseudo: 0.006281 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1881 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6944 time: 1.6039 last_time: 1.5134 data_time: 0.0082 last_data_time: 0.0076 lr: 0.02 max_mem: 14767M +[04/10 04:05:22] d2.utils.events INFO: eta: 11:05:06 iter: 24719 total_loss: 2.187 loss_cls: 0.02711 loss_box_reg: 0.04328 loss_rpn_cls: 0.1216 loss_rpn_loc: 0.001404 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.00528 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.543 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6907 time: 1.6039 last_time: 1.8076 data_time: 0.0085 last_data_time: 0.0088 lr: 0.02 max_mem: 14767M +[04/10 04:05:54] d2.utils.events INFO: eta: 11:04:34 iter: 24739 total_loss: 2.138 loss_cls: 0.02877 loss_box_reg: 0.05013 loss_rpn_cls: 0.1704 loss_rpn_loc: 0.001389 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.006142 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4994 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6906 time: 1.6038 last_time: 1.6654 data_time: 0.0087 last_data_time: 0.0085 lr: 0.02 max_mem: 14767M +[04/10 04:06:26] d2.utils.events INFO: eta: 11:04:10 iter: 24759 total_loss: 2.092 loss_cls: 0.02916 loss_box_reg: 0.04765 loss_rpn_cls: 0.1079 loss_rpn_loc: 0.001378 loss_D_img_s: 0.6914 loss_cls_pseudo: 0.003483 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5131 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6939 time: 1.6038 last_time: 1.7086 data_time: 0.0084 last_data_time: 0.0072 lr: 0.02 max_mem: 14767M +[04/10 04:06:57] d2.utils.events INFO: eta: 11:03:36 iter: 24779 total_loss: 1.851 loss_cls: 0.01874 loss_box_reg: 0.03512 loss_rpn_cls: 0.07661 loss_rpn_loc: 0.001062 loss_D_img_s: 0.6922 loss_cls_pseudo: 0.001619 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2304 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 1.6037 last_time: 1.5926 data_time: 0.0085 last_data_time: 0.0116 lr: 0.02 max_mem: 14767M +[04/10 04:07:29] d2.utils.events INFO: eta: 11:03:12 iter: 24799 total_loss: 1.886 loss_cls: 0.02534 loss_box_reg: 0.04364 loss_rpn_cls: 0.1093 loss_rpn_loc: 0.001462 loss_D_img_s: 0.6951 loss_cls_pseudo: 0.002194 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2718 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 1.6036 last_time: 1.4143 data_time: 0.0080 last_data_time: 0.0066 lr: 0.02 max_mem: 14767M +[04/10 04:08:01] d2.utils.events INFO: eta: 11:02:50 iter: 24819 total_loss: 2.051 loss_cls: 0.02309 loss_box_reg: 0.04203 loss_rpn_cls: 0.08012 loss_rpn_loc: 0.001632 loss_D_img_s: 0.6925 loss_cls_pseudo: 0.003945 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.517 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6936 time: 1.6036 last_time: 1.6402 data_time: 0.0076 last_data_time: 0.0097 lr: 0.02 max_mem: 14767M +[04/10 04:08:32] d2.utils.events INFO: eta: 11:02:34 iter: 24839 total_loss: 1.752 loss_cls: 0.02625 loss_box_reg: 0.04542 loss_rpn_cls: 0.07792 loss_rpn_loc: 0.001217 loss_D_img_s: 0.6914 loss_cls_pseudo: 0.0059 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.219 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6954 time: 1.6035 last_time: 1.6156 data_time: 0.0082 last_data_time: 0.0092 lr: 0.02 max_mem: 14767M +[04/10 04:09:04] d2.utils.events INFO: eta: 11:01:55 iter: 24859 total_loss: 2.072 loss_cls: 0.02893 loss_box_reg: 0.04603 loss_rpn_cls: 0.08431 loss_rpn_loc: 0.001435 loss_D_img_s: 0.6934 loss_cls_pseudo: 0.004351 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5369 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 1.6035 last_time: 1.5537 data_time: 0.0083 last_data_time: 0.0081 lr: 0.02 max_mem: 14767M +[04/10 04:09:37] d2.utils.events INFO: eta: 11:02:01 iter: 24879 total_loss: 1.724 loss_cls: 0.02272 loss_box_reg: 0.03499 loss_rpn_cls: 0.0632 loss_rpn_loc: 0.001616 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.00111 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2133 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 1.6035 last_time: 1.6376 data_time: 0.0080 last_data_time: 0.0101 lr: 0.02 max_mem: 14767M +[04/10 04:10:08] d2.utils.events INFO: eta: 11:00:43 iter: 24899 total_loss: 2.108 loss_cls: 0.02083 loss_box_reg: 0.03141 loss_rpn_cls: 0.1641 loss_rpn_loc: 0.001805 loss_D_img_s: 0.6965 loss_cls_pseudo: 0.002712 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5327 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.689 time: 1.6033 last_time: 1.4177 data_time: 0.0080 last_data_time: 0.0063 lr: 0.02 max_mem: 14767M +[04/10 04:10:39] d2.utils.events INFO: eta: 11:00:12 iter: 24919 total_loss: 1.792 loss_cls: 0.02577 loss_box_reg: 0.04297 loss_rpn_cls: 0.09198 loss_rpn_loc: 0.00143 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.004731 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2315 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6032 last_time: 1.5124 data_time: 0.0073 last_data_time: 0.0078 lr: 0.02 max_mem: 14767M +[04/10 04:11:11] d2.utils.events INFO: eta: 10:59:31 iter: 24939 total_loss: 2.097 loss_cls: 0.02986 loss_box_reg: 0.04186 loss_rpn_cls: 0.1016 loss_rpn_loc: 0.001619 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.003364 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5552 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6915 time: 1.6031 last_time: 1.6611 data_time: 0.0077 last_data_time: 0.0067 lr: 0.02 max_mem: 14767M +[04/10 04:11:43] d2.utils.events INFO: eta: 10:59:00 iter: 24959 total_loss: 2.095 loss_cls: 0.02612 loss_box_reg: 0.04345 loss_rpn_cls: 0.116 loss_rpn_loc: 0.001344 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.003138 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5121 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6913 time: 1.6030 last_time: 1.6093 data_time: 0.0086 last_data_time: 0.0089 lr: 0.02 max_mem: 14767M +[04/10 04:12:14] d2.utils.events INFO: eta: 10:58:18 iter: 24979 total_loss: 1.897 loss_cls: 0.01936 loss_box_reg: 0.04295 loss_rpn_cls: 0.09258 loss_rpn_loc: 0.001359 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.003039 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2999 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 1.6029 last_time: 1.5461 data_time: 0.0079 last_data_time: 0.0059 lr: 0.02 max_mem: 14767M +[04/10 04:12:46] fvcore.common.checkpoint INFO: Saving checkpoint to /DATA/Rajes/Research/output_cat/bmp_rti/model_0024999.pth +[04/10 04:12:47] d2.data.common INFO: Serializing the dataset using: +[04/10 04:12:47] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 04:12:47] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 04:12:47] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 04:12:47] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 04:12:48] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0237 s/iter. Inference: 0.0527 s/iter. Eval: 0.0001 s/iter. Total: 0.0765 s/iter. ETA=0:00:30 +[04/10 04:12:53] d2.evaluation.evaluator INFO: Inference done 72/410. Dataloading: 0.0181 s/iter. Inference: 0.0638 s/iter. Eval: 0.0002 s/iter. Total: 0.0821 s/iter. ETA=0:00:27 +[04/10 04:12:58] d2.evaluation.evaluator INFO: Inference done 143/410. Dataloading: 0.0173 s/iter. Inference: 0.0595 s/iter. Eval: 0.0002 s/iter. Total: 0.0770 s/iter. ETA=0:00:20 +[04/10 04:13:03] d2.evaluation.evaluator INFO: Inference done 216/410. Dataloading: 0.0141 s/iter. Inference: 0.0598 s/iter. Eval: 0.0002 s/iter. Total: 0.0742 s/iter. ETA=0:00:14 +[04/10 04:13:08] d2.evaluation.evaluator INFO: Inference done 287/410. Dataloading: 0.0146 s/iter. Inference: 0.0585 s/iter. Eval: 0.0002 s/iter. Total: 0.0733 s/iter. ETA=0:00:09 +[04/10 04:13:13] d2.evaluation.evaluator INFO: Inference done 360/410. Dataloading: 0.0142 s/iter. Inference: 0.0579 s/iter. Eval: 0.0002 s/iter. Total: 0.0723 s/iter. ETA=0:00:03 +[04/10 04:13:16] d2.evaluation.evaluator INFO: Total inference time: 0:00:29.042610 (0.071710 s / iter per device, on 1 devices) +[04/10 04:13:16] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057773 s / iter per device, on 1 devices) +[04/10 04:13:16] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 04:13:16] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 04:13:16] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 04:13:16] d2.evaluation.testing INFO: copypaste: 0.4461,2.5412,0.0000 +[04/10 04:13:16] d2.data.common INFO: Serializing the dataset using: +[04/10 04:13:17] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/10 04:13:17] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/10 04:13:17] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/10 04:13:17] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/10 04:13:18] d2.evaluation.evaluator INFO: Inference done 14/410. Dataloading: 0.0263 s/iter. Inference: 0.0564 s/iter. Eval: 0.0003 s/iter. Total: 0.0830 s/iter. ETA=0:00:32 +[04/10 04:13:23] d2.evaluation.evaluator INFO: Inference done 86/410. Dataloading: 0.0144 s/iter. Inference: 0.0568 s/iter. Eval: 0.0003 s/iter. Total: 0.0717 s/iter. ETA=0:00:23 +[04/10 04:13:28] d2.evaluation.evaluator INFO: Inference done 154/410. Dataloading: 0.0117 s/iter. Inference: 0.0607 s/iter. Eval: 0.0003 s/iter. Total: 0.0728 s/iter. ETA=0:00:18 +[04/10 04:13:33] d2.evaluation.evaluator INFO: Inference done 229/410. Dataloading: 0.0118 s/iter. Inference: 0.0589 s/iter. Eval: 0.0003 s/iter. Total: 0.0711 s/iter. ETA=0:00:12 +[04/10 04:13:38] d2.evaluation.evaluator INFO: Inference done 303/410. Dataloading: 0.0116 s/iter. Inference: 0.0582 s/iter. Eval: 0.0003 s/iter. Total: 0.0703 s/iter. ETA=0:00:07 +[04/10 04:13:43] d2.evaluation.evaluator INFO: Inference done 376/410. Dataloading: 0.0111 s/iter. Inference: 0.0585 s/iter. Eval: 0.0003 s/iter. Total: 0.0700 s/iter. ETA=0:00:02 +[04/10 04:13:45] d2.evaluation.evaluator INFO: Total inference time: 0:00:28.027153 (0.069203 s / iter per device, on 1 devices) +[04/10 04:13:45] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057969 s / iter per device, on 1 devices) +[04/10 04:13:46] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/10 04:13:46] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/10 04:13:46] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/10 04:13:46] d2.evaluation.testing INFO: copypaste: 0.4937,3.6528,0.0232 +[04/10 04:13:46] d2.utils.events INFO: eta: 10:57:44 iter: 24999 total_loss: 1.74 loss_cls: 0.0213 loss_box_reg: 0.04255 loss_rpn_cls: 0.04391 loss_rpn_loc: 0.001262 loss_D_img_s: 0.6925 loss_cls_pseudo: 0.003818 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2061 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 1.6028 last_time: 1.5173 data_time: 0.0084 last_data_time: 0.0066 lr: 0.02 max_mem: 14767M +[04/10 04:14:18] d2.utils.events INFO: eta: 10:57:13 iter: 25019 total_loss: 1.72 loss_cls: 0.02513 loss_box_reg: 0.03606 loss_rpn_cls: 0.07273 loss_rpn_loc: 0.001534 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.002446 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1823 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6922 time: 1.6028 last_time: 1.6614 data_time: 0.0087 last_data_time: 0.0087 lr: 0.02 max_mem: 14767M +[04/10 04:14:50] d2.utils.events INFO: eta: 10:56:33 iter: 25039 total_loss: 2.124 loss_cls: 0.02374 loss_box_reg: 0.03803 loss_rpn_cls: 0.1051 loss_rpn_loc: 0.001237 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.004287 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5423 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 1.6027 last_time: 1.6753 data_time: 0.0077 last_data_time: 0.0077 lr: 0.02 max_mem: 14767M +[04/10 04:15:22] d2.utils.events INFO: eta: 10:55:39 iter: 25059 total_loss: 1.833 loss_cls: 0.01878 loss_box_reg: 0.04043 loss_rpn_cls: 0.1504 loss_rpn_loc: 0.001611 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.004574 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2267 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6908 time: 1.6026 last_time: 1.6705 data_time: 0.0084 last_data_time: 0.0116 lr: 0.02 max_mem: 14767M +[04/10 04:15:54] d2.utils.events INFO: eta: 10:55:16 iter: 25079 total_loss: 2.111 loss_cls: 0.01575 loss_box_reg: 0.02537 loss_rpn_cls: 0.07654 loss_rpn_loc: 0.001592 loss_D_img_s: 0.6916 loss_cls_pseudo: 0.00463 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.6007 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 1.6028 last_time: 1.9513 data_time: 0.0082 last_data_time: 0.0086 lr: 0.02 max_mem: 14767M +[04/10 04:16:26] d2.utils.events INFO: eta: 10:54:49 iter: 25099 total_loss: 2.175 loss_cls: 0.02415 loss_box_reg: 0.04388 loss_rpn_cls: 0.2089 loss_rpn_loc: 0.001467 loss_D_img_s: 0.6963 loss_cls_pseudo: 0.003508 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5176 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.69 time: 1.6027 last_time: 1.5594 data_time: 0.0082 last_data_time: 0.0087 lr: 0.02 max_mem: 14767M +[04/10 04:16:57] d2.utils.events INFO: eta: 10:54:13 iter: 25119 total_loss: 2.101 loss_cls: 0.02828 loss_box_reg: 0.03755 loss_rpn_cls: 0.1661 loss_rpn_loc: 0.001565 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.001762 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5048 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6913 time: 1.6025 last_time: 1.6340 data_time: 0.0087 last_data_time: 0.0072 lr: 0.02 max_mem: 14767M +[04/10 04:17:07] d2.engine.hooks INFO: Overall training speed: 5124 iterations in 2:16:51 (1.6026 s / it) +[04/10 04:17:07] d2.engine.hooks INFO: Total training time: 2:21:56 (0:05:05 on hooks) +[04/10 04:17:07] d2.utils.events INFO: eta: 10:53:53 iter: 25126 total_loss: 2.085 loss_cls: 0.02744 loss_box_reg: 0.03861 loss_rpn_cls: 0.1283 loss_rpn_loc: 0.001521 loss_D_img_s: 0.694 loss_cls_pseudo: 0.001979 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5125 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.692 time: 1.6025 last_time: 1.6908 data_time: 0.0086 last_data_time: 0.0077 lr: 0.02 max_mem: 14767M +[04/11 00:27:42] detectron2 INFO: Rank of current process: 0. World size: 1 +[04/11 00:27:43] detectron2 INFO: Environment info: +------------------------------- ---------------------------------------------------------------------------- +sys.platform linux +Python 3.11.11 (main, Dec 11 2024, 16:28:39) [GCC 11.2.0] +numpy 2.0.1 +detectron2 0.6 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/detectron2 +Compiler GCC 9.4 +CUDA compiler CUDA 12.6 +detectron2 arch flags 8.6 +DETECTRON2_ENV_MODULE +PyTorch 2.5.1 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/torch +PyTorch debug build False +torch._C._GLIBCXX_USE_CXX11_ABI False +GPU available Yes +GPU 0 NVIDIA A10 (arch=8.6) +Driver version 565.57.01 +CUDA_HOME /usr/local/cuda +Pillow 11.0.0 +torchvision 0.20.1 @/home/rajes/.conda/envs/cat/lib/python3.11/site-packages/torchvision +torchvision arch flags 5.0, 6.0, 7.0, 7.5, 8.0, 8.6, 9.0 +fvcore 0.1.5.post20221221 +iopath 0.1.9 +cv2 4.11.0 +------------------------------- ---------------------------------------------------------------------------- +PyTorch built with: + - GCC 9.3 + - C++ Version: 201703 + - Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v3.5.3 (Git Hash 66f0cb9eb66affd2da3bf5f8d897376f04aae6af) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX512 + - CUDA Runtime 12.4 + - NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90 + - CuDNN 90.1 + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.4, CUDNN_VERSION=9.1.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.5.1, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, + +[04/11 00:27:43] detectron2 INFO: Command line arguments: Namespace(config_file='configs/faster_rcnn_VGG_cross_city.yaml', resume=True, eval_only=False, num_gpus=1, num_machines=1, machine_rank=0, dist_url='tcp://127.0.0.1:50162', opts=['OUTPUT_DIR', '/DATA/Rajes/Research/output_cat/bmp_rti']) +[04/11 00:27:43] detectron2 INFO: Contents of args.config_file=configs/faster_rcnn_VGG_cross_city.yaml: +_BASE_: "./Base-RCNN-C4.yaml" +MODEL: + # META_ARCHITECTURE: "TwoStagePseudoLabGeneralizedRCNN" + META_ARCHITECTURE: "DAobjTwoStagePseudoLabGeneralizedRCNN" + BACKBONE: + NAME: "build_vgg_backbone" + MASK_ON: False + RESNETS: + DEPTH: 101 + PROPOSAL_GENERATOR: + NAME: "PseudoLabRPN" + # RPN: + # POSITIVE_FRACTION: 0.25 + RPN: + IN_FEATURES: ["vgg4"] + ROI_HEADS: + NAME: "StandardROIHeadsPseudoLab" + LOSS: "CrossEntropy" # variant: "CrossEntropy" + NUM_CLASSES: 1 + IN_FEATURES: ["vgg4"] + ROI_BOX_HEAD: + NAME: "FastRCNNConvFCHead" + NUM_FC: 2 + POOLER_RESOLUTION: 7 + PIXEL_MEAN: [123.675, 116.280, 103.530] + PIXEL_STD: [58.395, 57.120, 57.375] +SOLVER: + LR_SCHEDULER_NAME: "WarmupTwoStageMultiStepLR" + STEPS: (60000, 80000, 90000, 360000) + FACTOR_LIST: (1, 1, 1, 1, 1) + MAX_ITER: 50000  + IMG_PER_BATCH_LABEL: 2 + IMG_PER_BATCH_UNLABEL: 2 + BASE_LR: 0.01 +DATALOADER: + SUP_PERCENT: 100.0 +DATASETS: +DATASETS: + CROSS_DATASET: True + TRAIN_LABEL: ("VOC2007_inb_dr_train",) + TRAIN_UNLABEL: ("VOC2007_inb_train",) + TEST: ("VOC2007_inb_test",) +SEMISUPNET: + Trainer: "cat" + BBOX_THRESHOLD: 0.8 + TEACHER_UPDATE_ITER: 1 + BURN_UP_STEP: 20000  + EMA_KEEP_RATE: 0.9996 + UNSUP_LOSS_WEIGHT: 1.0 + SUP_LOSS_WEIGHT: 1.0 + DIS_LOSS_WEIGHT: 0.1 + DIS_TYPE: "vgg4" #["concate","p2","multi"] +TEST: + EVAL_PERIOD: 1000 + +[04/11 00:27:43] detectron2 INFO: Running with full config: +BLOCKED_CLASSES: [] +CLS_LOSS: true +CUDNN_BENCHMARK: false +DATALOADER: + ASPECT_RATIO_GROUPING: true + FILTER_EMPTY_ANNOTATIONS: true + NUM_WORKERS: 4 + RANDOM_DATA_SEED: 0 + RANDOM_DATA_SEED_PATH: dataseed/COCO_supervision.txt + REPEAT_SQRT: true + REPEAT_THRESHOLD: 0.0 + SAMPLER_TRAIN: TrainingSampler + SUP_PERCENT: 100.0 +DATASETS: + CROSS_DATASET: true + PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 + PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 + PROPOSAL_FILES_TEST: [] + PROPOSAL_FILES_TRAIN: [] + TEST: + - VOC2007_inb_test + TRAIN: + - coco_2017_train + TRAIN_LABEL: + - VOC2007_inb_dr_train + TRAIN_UNLABEL: + - VOC2007_inb_train +DIA_LOSS: false +EMAMODEL: + SUP_CONSIST: true +FLOAT32_PRECISION: '' +GLOBAL: + HACK: 1.0 +INPUT: + CROP: + ENABLED: false + SIZE: + - 0.9 + - 0.9 + TYPE: relative_range + FORMAT: BGR + MASK_FORMAT: polygon + MAX_SIZE_TEST: 1333 + MAX_SIZE_TRAIN: 1333 + MIN_SIZE_TEST: 800 + MIN_SIZE_TRAIN: + - 600 + MIN_SIZE_TRAIN_SAMPLING: choice + RANDOM_FLIP: horizontal +KEEP_ASPECT: false +LIMIT_MIX: true +LOG_LOSS: true +LOSS_REG_VAL: 1.0 +MIXUP: true +MIX_RANDOM_CLASSES: false +MIX_RATIO: 0.5 +MODEL: + ANCHOR_GENERATOR: + ANGLES: + - - -90 + - 0 + - 90 + ASPECT_RATIOS: + - - 0.5 + - 1.0 + - 2.0 + NAME: DefaultAnchorGenerator + OFFSET: 0.0 + SIZES: + - - 32 + - 64 + - 128 + - 256 + - 512 + BACKBONE: + FREEZE_AT: 2 + NAME: build_vgg_backbone + DEVICE: cuda + FPN: + FUSE_TYPE: sum + IN_FEATURES: [] + NORM: '' + OUT_CHANNELS: 256 + KEYPOINT_ON: false + LOAD_PROPOSALS: false + MASK_ON: false + META_ARCHITECTURE: DAobjTwoStagePseudoLabGeneralizedRCNN + PANOPTIC_FPN: + COMBINE: + ENABLED: true + INSTANCES_CONFIDENCE_THRESH: 0.5 + OVERLAP_THRESH: 0.5 + STUFF_AREA_LIMIT: 4096 + INSTANCE_LOSS_WEIGHT: 1.0 + PIXEL_MEAN: + - 123.675 + - 116.28 + - 103.53 + PIXEL_STD: + - 58.395 + - 57.12 + - 57.375 + PROPOSAL_GENERATOR: + MIN_SIZE: 0 + NAME: PseudoLabRPN + RESNETS: + DEFORM_MODULATED: false + DEFORM_NUM_GROUPS: 1 + DEFORM_ON_PER_STAGE: + - false + - false + - false + - false + DEPTH: 101 + NORM: FrozenBN + NUM_GROUPS: 1 + OUT_FEATURES: + - res4 + RES2_OUT_CHANNELS: 256 + RES5_DILATION: 1 + STEM_OUT_CHANNELS: 64 + STRIDE_IN_1X1: true + WIDTH_PER_GROUP: 64 + RETINANET: + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_WEIGHTS: &id002 + - 1.0 + - 1.0 + - 1.0 + - 1.0 + FOCAL_LOSS_ALPHA: 0.25 + FOCAL_LOSS_GAMMA: 2.0 + IN_FEATURES: + - p3 + - p4 + - p5 + - p6 + - p7 + IOU_LABELS: + - 0 + - -1 + - 1 + IOU_THRESHOLDS: + - 0.4 + - 0.5 + NMS_THRESH_TEST: 0.5 + NORM: '' + NUM_CLASSES: 80 + NUM_CONVS: 4 + PRIOR_PROB: 0.01 + SCORE_THRESH_TEST: 0.05 + SMOOTH_L1_LOSS_BETA: 0.1 + TOPK_CANDIDATES_TEST: 1000 + ROI_BOX_CASCADE_HEAD: + BBOX_REG_WEIGHTS: + - &id001 + - 10.0 + - 10.0 + - 5.0 + - 5.0 + - - 20.0 + - 20.0 + - 10.0 + - 10.0 + - - 30.0 + - 30.0 + - 15.0 + - 15.0 + IOUS: + - 0.5 + - 0.6 + - 0.7 + ROI_BOX_HEAD: + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_LOSS_WEIGHT: 1.0 + BBOX_REG_WEIGHTS: *id001 + CLS_AGNOSTIC_BBOX_REG: false + CONV_DIM: 256 + FC_DIM: 1024 + FED_LOSS_FREQ_WEIGHT_POWER: 0.5 + FED_LOSS_NUM_CLASSES: 50 + NAME: FastRCNNConvFCHead + NORM: '' + NUM_CONV: 0 + NUM_FC: 2 + POOLER_RESOLUTION: 7 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + SMOOTH_L1_BETA: 0.0 + TRAIN_ON_PRED_BOXES: false + USE_FED_LOSS: false + USE_SIGMOID_CE: false + ROI_HEADS: + BATCH_SIZE_PER_IMAGE: 512 + IN_FEATURES: + - vgg4 + IOU_LABELS: + - 0 + - 1 + IOU_THRESHOLDS: + - 0.5 + LOSS: CrossEntropy + NAME: StandardROIHeadsPseudoLab + NMS_THRESH_TEST: 0.5 + NUM_CLASSES: 1 + POSITIVE_FRACTION: 0.25 + PROPOSAL_APPEND_GT: true + SCORE_THRESH_TEST: 0.05 + ROI_KEYPOINT_HEAD: + CONV_DIMS: + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + - 512 + LOSS_WEIGHT: 1.0 + MIN_KEYPOINTS_PER_IMAGE: 1 + NAME: KRCNNConvDeconvUpsampleHead + NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true + NUM_KEYPOINTS: 17 + POOLER_RESOLUTION: 14 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + ROI_MASK_HEAD: + CLS_AGNOSTIC_MASK: false + CONV_DIM: 256 + NAME: MaskRCNNConvUpsampleHead + NORM: '' + NUM_CONV: 0 + POOLER_RESOLUTION: 14 + POOLER_SAMPLING_RATIO: 0 + POOLER_TYPE: ROIAlignV2 + RPN: + BATCH_SIZE_PER_IMAGE: 256 + BBOX_REG_LOSS_TYPE: smooth_l1 + BBOX_REG_LOSS_WEIGHT: 1.0 + BBOX_REG_WEIGHTS: *id002 + BOUNDARY_THRESH: -1 + CONV_DIMS: + - -1 + HEAD_NAME: StandardRPNHead + IN_FEATURES: + - vgg4 + IOU_LABELS: + - 0 + - -1 + - 1 + IOU_THRESHOLDS: + - 0.3 + - 0.7 + LOSS: CrossEntropy + LOSS_WEIGHT: 1.0 + NMS_THRESH: 0.7 + POSITIVE_FRACTION: 0.5 + POST_NMS_TOPK_TEST: 1000 + POST_NMS_TOPK_TRAIN: 2000 + PRE_NMS_TOPK_TEST: 6000 + PRE_NMS_TOPK_TRAIN: 12000 + SMOOTH_L1_BETA: 0.0 + UNSUP_LOSS_WEIGHT: 1.0 + SEM_SEG_HEAD: + COMMON_STRIDE: 4 + CONVS_DIM: 128 + IGNORE_VALUE: 255 + IN_FEATURES: + - p2 + - p3 + - p4 + - p5 + LOSS_WEIGHT: 1.0 + NAME: SemSegFPNHead + NORM: GN + NUM_CLASSES: 54 + WEIGHTS: '' +OUTPUT_DIR: /DATA/Rajes/Research/output_cat/bmp_rti +SEED: -1 +SEMISUPNET: + BBOX_THRESHOLD: 0.8 + BURN_UP_STEP: 20000 + DIS_LOSS_WEIGHT: 0.1 + DIS_TYPE: vgg4 + EMA_KEEP_RATE: 0.9996 + LOSS_WEIGHT_TYPE: standard + MLP_DIM: 128 + PSEUDO_BBOX_SAMPLE: thresholding + SUP_LOSS_WEIGHT: 1.0 + TEACHER_UPDATE_ITER: 1 + Trainer: cat + UNSUP_LOSS_WEIGHT: 1.0 +SOLVER: + AMP: + ENABLED: false + BASE_LR: 0.01 + BASE_LR_END: 0.0 + BIAS_LR_FACTOR: 1.0 + CHECKPOINT_PERIOD: 5000 + CLIP_GRADIENTS: + CLIP_TYPE: value + CLIP_VALUE: 1.0 + ENABLED: false + NORM_TYPE: 2.0 + FACTOR_LIST: + - 1 + - 1 + - 1 + - 1 + - 1 + GAMMA: 0.1 + IMG_PER_BATCH_LABEL: 2 + IMG_PER_BATCH_UNLABEL: 2 + IMS_PER_BATCH: 16 + LR_SCHEDULER_NAME: WarmupTwoStageMultiStepLR + MAX_ITER: 50000 + MOMENTUM: 0.9 + NESTEROV: false + NUM_DECAYS: 3 + REFERENCE_WORLD_SIZE: 0 + RESCALE_INTERVAL: false + STEPS: + - 60000 + - 80000 + - 90000 + - 360000 + WARMUP_FACTOR: 0.001 + WARMUP_ITERS: 1000 + WARMUP_METHOD: linear + WEIGHT_DECAY: 0.0001 + WEIGHT_DECAY_BIAS: null + WEIGHT_DECAY_NORM: 0.0 +TARGET_BBOX: false +TEST: + AUG: + ENABLED: false + FLIP: true + MAX_SIZE: 4000 + MIN_SIZES: + - 400 + - 500 + - 600 + - 700 + - 800 + - 900 + - 1000 + - 1100 + - 1200 + DETECTIONS_PER_IMAGE: 100 + EVALUATOR: COCOeval + EVAL_PERIOD: 1000 + EXPECTED_RESULTS: [] + KEYPOINT_OKS_SIGMAS: [] + PRECISE_BN: + ENABLED: false + NUM_ITER: 200 + VAL_LOSS: true +VERSION: 2 +VIS_PERIOD: 0 + +[04/11 00:27:43] detectron2 INFO: Full config saved to /DATA/Rajes/Research/output_cat/bmp_rti/config.yaml +[04/11 00:27:43] d2.utils.env INFO: Using a generated random seed 44762757 +[04/11 00:27:43] d2.data.build INFO: Removed 221 images with no usable annotations. 65 images left. +[04/11 00:27:43] d2.data.build INFO: Distribution of instances among all 1 categories: +| category | #instances | +|:----------:|:-------------| +| mal | 65 | +| | | +[04/11 00:27:43] d2.data.build INFO: Distribution of instances among all 1 categories: +| category | #instances | +|:----------:|:-------------| +| mal | 62 | +| | | +[04/11 00:27:43] d2.data.common INFO: Serializing the dataset using: +[04/11 00:27:43] d2.data.common INFO: Serializing 65 elements to byte tensors and concatenating them all ... +[04/11 00:27:43] d2.data.common INFO: Serialized dataset takes 0.04 MiB +[04/11 00:27:43] d2.data.common INFO: Serializing the dataset using: +[04/11 00:27:43] d2.data.common INFO: Serializing 286 elements to byte tensors and concatenating them all ... +[04/11 00:27:43] d2.data.common INFO: Serialized dataset takes 0.13 MiB +[04/11 00:27:45] d2.engine.defaults INFO: Model: +DAobjTwoStagePseudoLabGeneralizedRCNN( + (backbone): vgg_backbone( + (vgg0): Sequential( + (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg1): Sequential( + (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg2): Sequential( + (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg3): Sequential( + (0): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg4): Sequential( + (0): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + ) + (proposal_generator): PseudoLabRPN( + (rpn_head): StandardRPNHead( + (conv): Conv2d( + 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) + (activation): ReLU() + ) + (objectness_logits): Conv2d(512, 15, kernel_size=(1, 1), stride=(1, 1)) + (anchor_deltas): Conv2d(512, 60, kernel_size=(1, 1), stride=(1, 1)) + ) + (anchor_generator): DefaultAnchorGenerator( + (cell_anchors): BufferList() + ) + ) + (roi_heads): StandardROIHeadsPseudoLab( + (box_pooler): ROIPooler( + (level_poolers): ModuleList( + (0): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) + ) + ) + (box_head): FastRCNNConvFCHead( + (flatten): Flatten(start_dim=1, end_dim=-1) + (fc1): Linear(in_features=25088, out_features=1024, bias=True) + (fc_relu1): ReLU() + (fc2): Linear(in_features=1024, out_features=1024, bias=True) + (fc_relu2): ReLU() + ) + (box_predictor): FastRCNNOutputLayers( + (cls_score): Linear(in_features=1024, out_features=2, bias=True) + (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) + ) + ) + (D_img): FCDiscriminator_img( + (conv1): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv2): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (classifier): Conv2d(128, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (leaky_relu): LeakyReLU(negative_slope=0.2, inplace=True) + ) +) +[04/11 00:27:46] d2.engine.defaults INFO: Model: +DAobjTwoStagePseudoLabGeneralizedRCNN( + (backbone): vgg_backbone( + (vgg0): Sequential( + (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg1): Sequential( + (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg2): Sequential( + (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg3): Sequential( + (0): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + (vgg4): Sequential( + (0): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (7): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) + ) + ) + (proposal_generator): PseudoLabRPN( + (rpn_head): StandardRPNHead( + (conv): Conv2d( + 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) + (activation): ReLU() + ) + (objectness_logits): Conv2d(512, 15, kernel_size=(1, 1), stride=(1, 1)) + (anchor_deltas): Conv2d(512, 60, kernel_size=(1, 1), stride=(1, 1)) + ) + (anchor_generator): DefaultAnchorGenerator( + (cell_anchors): BufferList() + ) + ) + (roi_heads): StandardROIHeadsPseudoLab( + (box_pooler): ROIPooler( + (level_poolers): ModuleList( + (0): ROIAlign(output_size=(7, 7), spatial_scale=0.03125, sampling_ratio=0, aligned=True) + ) + ) + (box_head): FastRCNNConvFCHead( + (flatten): Flatten(start_dim=1, end_dim=-1) + (fc1): Linear(in_features=25088, out_features=1024, bias=True) + (fc_relu1): ReLU() + (fc2): Linear(in_features=1024, out_features=1024, bias=True) + (fc_relu2): ReLU() + ) + (box_predictor): FastRCNNOutputLayers( + (cls_score): Linear(in_features=1024, out_features=2, bias=True) + (bbox_pred): Linear(in_features=1024, out_features=4, bias=True) + ) + ) + (D_img): FCDiscriminator_img( + (conv1): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv2): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (classifier): Conv2d(128, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (leaky_relu): LeakyReLU(negative_slope=0.2, inplace=True) + ) +) +[04/11 00:27:46] d2.checkpoint.detection_checkpoint INFO: [DetectionCheckpointer] Loading from /DATA/Rajes/Research/output_cat/bmp_rti/model_0024999.pth ... +[04/11 00:27:46] fvcore.common.checkpoint INFO: [Checkpointer] Loading from /DATA/Rajes/Research/output_cat/bmp_rti/model_0024999.pth ... +[04/11 00:27:46] fvcore.common.checkpoint INFO: Loading optimizer from /DATA/Rajes/Research/output_cat/bmp_rti/model_0024999.pth ... +[04/11 00:27:46] fvcore.common.checkpoint INFO: Loading scheduler from /DATA/Rajes/Research/output_cat/bmp_rti/model_0024999.pth ... +[04/11 00:28:17] d2.utils.events INFO: eta: 10:10:54 iter: 25019 total_loss: 2.117 loss_cls: 0.01697 loss_box_reg: 0.02207 loss_rpn_cls: 0.1265 loss_rpn_loc: 0.00362 loss_D_img_s: 0.6962 loss_cls_pseudo: 0.001089 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5299 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6908 time: 1.4722 last_time: 1.4410 data_time: 0.0358 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 00:28:46] d2.utils.events INFO: eta: 10:05:16 iter: 25039 total_loss: 1.812 loss_cls: 0.02012 loss_box_reg: 0.01955 loss_rpn_cls: 0.1149 loss_rpn_loc: 0.002776 loss_D_img_s: 0.6978 loss_cls_pseudo: 0.004175 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.225 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6887 time: 1.4501 last_time: 1.4551 data_time: 0.0077 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 00:29:15] d2.utils.events INFO: eta: 10:04:47 iter: 25059 total_loss: 1.907 loss_cls: 0.01887 loss_box_reg: 0.01747 loss_rpn_cls: 0.1034 loss_rpn_loc: 0.002732 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.0008471 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3731 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.692 time: 1.4523 last_time: 1.4693 data_time: 0.0078 last_data_time: 0.0101 lr: 0.02 max_mem: 14768M +[04/11 00:29:45] d2.utils.events INFO: eta: 10:05:21 iter: 25079 total_loss: 1.762 loss_cls: 0.01738 loss_box_reg: 0.03045 loss_rpn_cls: 0.07721 loss_rpn_loc: 0.002576 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.000961 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2026 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6939 time: 1.4613 last_time: 1.5167 data_time: 0.0083 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 00:30:15] d2.utils.events INFO: eta: 10:09:36 iter: 25099 total_loss: 2.056 loss_cls: 0.02168 loss_box_reg: 0.02473 loss_rpn_cls: 0.07135 loss_rpn_loc: 0.002896 loss_D_img_s: 0.6927 loss_cls_pseudo: 0.002186 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5513 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 1.4695 last_time: 1.3908 data_time: 0.0076 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 00:30:44] d2.utils.events INFO: eta: 10:07:57 iter: 25119 total_loss: 1.947 loss_cls: 0.01811 loss_box_reg: 0.02292 loss_rpn_cls: 0.157 loss_rpn_loc: 0.002557 loss_D_img_s: 0.6955 loss_cls_pseudo: 0.001186 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3776 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6911 time: 1.4689 last_time: 1.4671 data_time: 0.0082 last_data_time: 0.0120 lr: 0.02 max_mem: 14768M +[04/11 00:31:14] d2.utils.events INFO: eta: 10:08:32 iter: 25139 total_loss: 2.082 loss_cls: 0.023 loss_box_reg: 0.03265 loss_rpn_cls: 0.09127 loss_rpn_loc: 0.003012 loss_D_img_s: 0.693 loss_cls_pseudo: 0.001776 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5434 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 1.4708 last_time: 1.5146 data_time: 0.0082 last_data_time: 0.0089 lr: 0.02 max_mem: 14768M +[04/11 00:31:44] d2.utils.events INFO: eta: 10:08:20 iter: 25159 total_loss: 2.063 loss_cls: 0.01975 loss_box_reg: 0.02183 loss_rpn_cls: 0.1188 loss_rpn_loc: 0.00235 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.003119 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5164 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6917 time: 1.4760 last_time: 1.4841 data_time: 0.0083 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 00:32:15] d2.utils.events INFO: eta: 10:09:26 iter: 25179 total_loss: 2.1 loss_cls: 0.0164 loss_box_reg: 0.02246 loss_rpn_cls: 0.1303 loss_rpn_loc: 0.002257 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.001641 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5311 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6919 time: 1.4859 last_time: 1.4329 data_time: 0.0082 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 00:32:47] d2.utils.events INFO: eta: 10:13:23 iter: 25199 total_loss: 2.06 loss_cls: 0.01712 loss_box_reg: 0.02656 loss_rpn_cls: 0.1277 loss_rpn_loc: 0.002519 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.002598 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5241 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 1.4974 last_time: 1.5731 data_time: 0.0078 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 00:33:20] d2.utils.events INFO: eta: 10:15:46 iter: 25219 total_loss: 2.022 loss_cls: 0.01886 loss_box_reg: 0.02418 loss_rpn_cls: 0.07998 loss_rpn_loc: 0.002187 loss_D_img_s: 0.691 loss_cls_pseudo: 0.001959 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5326 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6948 time: 1.5123 last_time: 1.5794 data_time: 0.0077 last_data_time: 0.0089 lr: 0.02 max_mem: 14768M +[04/11 00:33:52] d2.utils.events INFO: eta: 10:21:07 iter: 25239 total_loss: 2.037 loss_cls: 0.0128 loss_box_reg: 0.02554 loss_rpn_cls: 0.09587 loss_rpn_loc: 0.002532 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.001374 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5229 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6917 time: 1.5191 last_time: 1.5420 data_time: 0.0075 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 00:34:25] d2.utils.events INFO: eta: 10:23:41 iter: 25259 total_loss: 1.996 loss_cls: 0.01339 loss_box_reg: 0.02135 loss_rpn_cls: 0.08369 loss_rpn_loc: 0.001963 loss_D_img_s: 0.6927 loss_cls_pseudo: 0.0006114 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5056 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6935 time: 1.5274 last_time: 1.8884 data_time: 0.0075 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 00:34:57] d2.utils.events INFO: eta: 10:27:12 iter: 25279 total_loss: 1.731 loss_cls: 0.01568 loss_box_reg: 0.02225 loss_rpn_cls: 0.05737 loss_rpn_loc: 0.002231 loss_D_img_s: 0.6912 loss_cls_pseudo: 0.001439 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2066 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6948 time: 1.5317 last_time: 1.5741 data_time: 0.0076 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 00:35:29] d2.utils.events INFO: eta: 10:30:51 iter: 25299 total_loss: 2.02 loss_cls: 0.01578 loss_box_reg: 0.02595 loss_rpn_cls: 0.0966 loss_rpn_loc: 0.00208 loss_D_img_s: 0.6954 loss_cls_pseudo: 0.0007623 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5178 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6907 time: 1.5364 last_time: 1.6791 data_time: 0.0083 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 00:36:01] d2.utils.events INFO: eta: 10:32:17 iter: 25319 total_loss: 2.093 loss_cls: 0.01696 loss_box_reg: 0.03163 loss_rpn_cls: 0.07447 loss_rpn_loc: 0.002322 loss_D_img_s: 0.696 loss_cls_pseudo: 0.002349 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5557 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6904 time: 1.5419 last_time: 1.7012 data_time: 0.0077 last_data_time: 0.0088 lr: 0.02 max_mem: 14768M +[04/11 00:36:34] d2.utils.events INFO: eta: 10:32:36 iter: 25339 total_loss: 1.845 loss_cls: 0.01533 loss_box_reg: 0.02236 loss_rpn_cls: 0.1366 loss_rpn_loc: 0.001912 loss_D_img_s: 0.696 loss_cls_pseudo: 0.003318 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2182 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6901 time: 1.5473 last_time: 1.6678 data_time: 0.0084 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 00:37:05] d2.utils.events INFO: eta: 10:32:00 iter: 25359 total_loss: 2.011 loss_cls: 0.01825 loss_box_reg: 0.02553 loss_rpn_cls: 0.0498 loss_rpn_loc: 0.002327 loss_D_img_s: 0.694 loss_cls_pseudo: 0.002153 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5332 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 1.5492 last_time: 1.5367 data_time: 0.0075 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 00:37:38] d2.utils.events INFO: eta: 10:33:02 iter: 25379 total_loss: 2.088 loss_cls: 0.02041 loss_box_reg: 0.02656 loss_rpn_cls: 0.1577 loss_rpn_loc: 0.002496 loss_D_img_s: 0.6955 loss_cls_pseudo: 0.0006975 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5202 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6909 time: 1.5538 last_time: 1.6541 data_time: 0.0082 last_data_time: 0.0119 lr: 0.02 max_mem: 14768M +[04/11 00:38:10] d2.utils.events INFO: eta: 10:34:59 iter: 25399 total_loss: 2.134 loss_cls: 0.0198 loss_box_reg: 0.02019 loss_rpn_cls: 0.1659 loss_rpn_loc: 0.002495 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.003348 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5368 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6915 time: 1.5570 last_time: 1.5792 data_time: 0.0083 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 00:38:43] d2.utils.events INFO: eta: 10:35:31 iter: 25419 total_loss: 1.986 loss_cls: 0.02116 loss_box_reg: 0.02581 loss_rpn_cls: 0.1071 loss_rpn_loc: 0.001849 loss_D_img_s: 0.6925 loss_cls_pseudo: 0.002146 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4175 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6939 time: 1.5594 last_time: 1.5671 data_time: 0.0075 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 00:39:15] d2.utils.events INFO: eta: 10:37:10 iter: 25439 total_loss: 2.082 loss_cls: 0.01247 loss_box_reg: 0.0211 loss_rpn_cls: 0.1306 loss_rpn_loc: 0.002041 loss_D_img_s: 0.6921 loss_cls_pseudo: 0.002121 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5533 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 1.5628 last_time: 1.4965 data_time: 0.0080 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 00:39:47] d2.utils.events INFO: eta: 10:37:20 iter: 25459 total_loss: 1.789 loss_cls: 0.0178 loss_box_reg: 0.02272 loss_rpn_cls: 0.1034 loss_rpn_loc: 0.002085 loss_D_img_s: 0.6911 loss_cls_pseudo: 0.002878 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.194 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6955 time: 1.5646 last_time: 1.6392 data_time: 0.0083 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 00:40:20] d2.utils.events INFO: eta: 10:37:50 iter: 25479 total_loss: 2.136 loss_cls: 0.01949 loss_box_reg: 0.02715 loss_rpn_cls: 0.1569 loss_rpn_loc: 0.001818 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.002965 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.53 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6919 time: 1.5665 last_time: 1.6325 data_time: 0.0079 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 00:40:52] d2.utils.events INFO: eta: 10:37:02 iter: 25499 total_loss: 2.123 loss_cls: 0.01674 loss_box_reg: 0.02199 loss_rpn_cls: 0.1963 loss_rpn_loc: 0.002108 loss_D_img_s: 0.6951 loss_cls_pseudo: 0.002622 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5023 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6908 time: 1.5678 last_time: 1.5230 data_time: 0.0080 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 00:41:24] d2.utils.events INFO: eta: 10:38:41 iter: 25519 total_loss: 1.919 loss_cls: 0.01508 loss_box_reg: 0.02491 loss_rpn_cls: 0.149 loss_rpn_loc: 0.001997 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.00181 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2807 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.692 time: 1.5700 last_time: 1.6478 data_time: 0.0074 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 00:41:56] d2.utils.events INFO: eta: 10:38:52 iter: 25539 total_loss: 2.137 loss_cls: 0.01502 loss_box_reg: 0.02902 loss_rpn_cls: 0.1369 loss_rpn_loc: 0.001815 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.002217 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5661 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 1.5717 last_time: 1.5861 data_time: 0.0079 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 00:42:29] d2.utils.events INFO: eta: 10:38:40 iter: 25559 total_loss: 1.96 loss_cls: 0.01684 loss_box_reg: 0.0263 loss_rpn_cls: 0.1359 loss_rpn_loc: 0.001952 loss_D_img_s: 0.6934 loss_cls_pseudo: 0.0008642 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3649 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 1.5745 last_time: 1.5530 data_time: 0.0079 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 00:43:01] d2.utils.events INFO: eta: 10:38:57 iter: 25579 total_loss: 1.687 loss_cls: 0.01455 loss_box_reg: 0.02249 loss_rpn_cls: 0.08102 loss_rpn_loc: 0.001973 loss_D_img_s: 0.6922 loss_cls_pseudo: 0.000916 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.151 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 1.5753 last_time: 1.5144 data_time: 0.0081 last_data_time: 0.0061 lr: 0.02 max_mem: 14768M +[04/11 00:43:34] d2.utils.events INFO: eta: 10:39:05 iter: 25599 total_loss: 1.754 loss_cls: 0.01322 loss_box_reg: 0.03311 loss_rpn_cls: 0.07421 loss_rpn_loc: 0.001848 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.0006352 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1582 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6945 time: 1.5774 last_time: 1.6794 data_time: 0.0082 last_data_time: 0.0104 lr: 0.02 max_mem: 14768M +[04/11 00:44:06] d2.utils.events INFO: eta: 10:39:02 iter: 25619 total_loss: 2.084 loss_cls: 0.01259 loss_box_reg: 0.0204 loss_rpn_cls: 0.1149 loss_rpn_loc: 0.002024 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.002351 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5401 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 1.5783 last_time: 1.6023 data_time: 0.0077 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 00:44:39] d2.utils.events INFO: eta: 10:39:05 iter: 25639 total_loss: 1.774 loss_cls: 0.01259 loss_box_reg: 0.02465 loss_rpn_cls: 0.0871 loss_rpn_loc: 0.001702 loss_D_img_s: 0.6924 loss_cls_pseudo: 0.002155 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2198 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6936 time: 1.5797 last_time: 1.6062 data_time: 0.0075 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 00:45:11] d2.utils.events INFO: eta: 10:39:09 iter: 25659 total_loss: 2.047 loss_cls: 0.01312 loss_box_reg: 0.02625 loss_rpn_cls: 0.0707 loss_rpn_loc: 0.002045 loss_D_img_s: 0.6922 loss_cls_pseudo: 0.00175 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5515 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6935 time: 1.5811 last_time: 1.6147 data_time: 0.0086 last_data_time: 0.0099 lr: 0.02 max_mem: 14768M +[04/11 00:45:44] d2.utils.events INFO: eta: 10:39:17 iter: 25679 total_loss: 1.889 loss_cls: 0.01037 loss_box_reg: 0.02347 loss_rpn_cls: 0.05382 loss_rpn_loc: 0.001655 loss_D_img_s: 0.6923 loss_cls_pseudo: 0.0008019 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3733 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6943 time: 1.5824 last_time: 1.4543 data_time: 0.0080 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 00:46:16] d2.utils.events INFO: eta: 10:38:50 iter: 25699 total_loss: 2.102 loss_cls: 0.0107 loss_box_reg: 0.02222 loss_rpn_cls: 0.1373 loss_rpn_loc: 0.001734 loss_D_img_s: 0.6941 loss_cls_pseudo: 0.0009437 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5591 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.692 time: 1.5835 last_time: 1.8608 data_time: 0.0084 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 00:46:48] d2.utils.events INFO: eta: 10:38:14 iter: 25719 total_loss: 2.08 loss_cls: 0.01451 loss_box_reg: 0.02011 loss_rpn_cls: 0.1867 loss_rpn_loc: 0.002171 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.002241 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5106 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 1.5839 last_time: 1.6848 data_time: 0.0075 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 00:47:20] d2.utils.events INFO: eta: 10:38:00 iter: 25739 total_loss: 1.77 loss_cls: 0.01811 loss_box_reg: 0.03075 loss_rpn_cls: 0.06046 loss_rpn_loc: 0.001635 loss_D_img_s: 0.6917 loss_cls_pseudo: 0.004249 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2086 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6944 time: 1.5847 last_time: 1.7231 data_time: 0.0088 last_data_time: 0.0090 lr: 0.02 max_mem: 14768M +[04/11 00:47:53] d2.utils.events INFO: eta: 10:38:11 iter: 25759 total_loss: 2.023 loss_cls: 0.01444 loss_box_reg: 0.01773 loss_rpn_cls: 0.1363 loss_rpn_loc: 0.001762 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.0006729 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5378 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6916 time: 1.5858 last_time: 1.5527 data_time: 0.0082 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 00:48:26] d2.utils.events INFO: eta: 10:38:26 iter: 25779 total_loss: 1.878 loss_cls: 0.01468 loss_box_reg: 0.02247 loss_rpn_cls: 0.09846 loss_rpn_loc: 0.002396 loss_D_img_s: 0.6948 loss_cls_pseudo: 0.003069 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2235 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 1.5874 last_time: 1.6189 data_time: 0.0082 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 00:49:18] d2.utils.events INFO: eta: 10:38:26 iter: 25799 total_loss: 1.964 loss_cls: 0.01676 loss_box_reg: 0.03079 loss_rpn_cls: 0.07933 loss_rpn_loc: 0.00184 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.006055 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4077 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.6130 last_time: 1.5425 data_time: 0.0117 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 00:50:12] d2.utils.events INFO: eta: 10:38:45 iter: 25819 total_loss: 1.824 loss_cls: 0.01617 loss_box_reg: 0.02456 loss_rpn_cls: 0.07327 loss_rpn_loc: 0.001919 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.001268 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2232 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6915 time: 1.6390 last_time: 1.7321 data_time: 0.0117 last_data_time: 0.0085 lr: 0.02 max_mem: 14768M +[04/11 00:50:50] d2.utils.events INFO: eta: 10:39:14 iter: 25839 total_loss: 2.067 loss_cls: 0.01792 loss_box_reg: 0.02175 loss_rpn_cls: 0.07009 loss_rpn_loc: 0.001836 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.001731 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5282 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 1.6456 last_time: 3.2361 data_time: 0.0086 last_data_time: 0.0107 lr: 0.02 max_mem: 14768M +[04/11 00:51:48] d2.utils.events INFO: eta: 10:39:39 iter: 25859 total_loss: 1.936 loss_cls: 0.02664 loss_box_reg: 0.02778 loss_rpn_cls: 0.2079 loss_rpn_loc: 0.002284 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.002513 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2477 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6919 time: 1.6751 last_time: 3.0256 data_time: 0.0128 last_data_time: 0.0214 lr: 0.02 max_mem: 14768M +[04/11 00:52:32] d2.utils.events INFO: eta: 10:39:52 iter: 25879 total_loss: 2.124 loss_cls: 0.01381 loss_box_reg: 0.01983 loss_rpn_cls: 0.1502 loss_rpn_loc: 0.001919 loss_D_img_s: 0.6941 loss_cls_pseudo: 0.001924 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5487 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6922 time: 1.6862 last_time: 1.5904 data_time: 0.0094 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 00:53:04] d2.utils.events INFO: eta: 10:39:32 iter: 25899 total_loss: 2.143 loss_cls: 0.01224 loss_box_reg: 0.02155 loss_rpn_cls: 0.1488 loss_rpn_loc: 0.00193 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.003115 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5767 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 1.6845 last_time: 1.7834 data_time: 0.0086 last_data_time: 0.0217 lr: 0.02 max_mem: 14768M +[04/11 00:53:36] d2.utils.events INFO: eta: 10:39:18 iter: 25919 total_loss: 2.166 loss_cls: 0.01645 loss_box_reg: 0.02906 loss_rpn_cls: 0.1537 loss_rpn_loc: 0.002221 loss_D_img_s: 0.6934 loss_cls_pseudo: 0.002128 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5642 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6830 last_time: 1.5698 data_time: 0.0086 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 00:54:08] d2.utils.events INFO: eta: 10:38:17 iter: 25939 total_loss: 1.85 loss_cls: 0.01792 loss_box_reg: 0.02444 loss_rpn_cls: 0.1633 loss_rpn_loc: 0.002202 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.00387 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1959 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6932 time: 1.6816 last_time: 1.5278 data_time: 0.0087 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 00:54:41] d2.utils.events INFO: eta: 10:37:23 iter: 25959 total_loss: 2.12 loss_cls: 0.01701 loss_box_reg: 0.02444 loss_rpn_cls: 0.09324 loss_rpn_loc: 0.001527 loss_D_img_s: 0.6926 loss_cls_pseudo: 0.00254 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.6026 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6936 time: 1.6806 last_time: 1.5834 data_time: 0.0081 last_data_time: 0.0083 lr: 0.02 max_mem: 14768M +[04/11 00:55:13] d2.utils.events INFO: eta: 10:36:39 iter: 25979 total_loss: 1.742 loss_cls: 0.01791 loss_box_reg: 0.02244 loss_rpn_cls: 0.122 loss_rpn_loc: 0.001834 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.002298 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.16 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6932 time: 1.6790 last_time: 1.6838 data_time: 0.0089 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 00:55:46] d2.data.build INFO: Distribution of instances among all 1 categories: +| category | #instances | +|:----------:|:-------------| +| mal | 91 | +| | | +[04/11 00:55:46] d2.data.common INFO: Serializing the dataset using: +[04/11 00:55:46] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 00:55:46] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 00:55:46] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 00:55:46] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 00:55:47] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0230 s/iter. Inference: 0.0640 s/iter. Eval: 0.0002 s/iter. Total: 0.0872 s/iter. ETA=0:00:34 +[04/11 00:55:52] d2.evaluation.evaluator INFO: Inference done 80/410. Dataloading: 0.0118 s/iter. Inference: 0.0615 s/iter. Eval: 0.0002 s/iter. Total: 0.0737 s/iter. ETA=0:00:24 +[04/11 00:55:57] d2.evaluation.evaluator INFO: Inference done 152/410. Dataloading: 0.0102 s/iter. Inference: 0.0614 s/iter. Eval: 0.0002 s/iter. Total: 0.0719 s/iter. ETA=0:00:18 +[04/11 00:56:02] d2.evaluation.evaluator INFO: Inference done 225/410. Dataloading: 0.0099 s/iter. Inference: 0.0605 s/iter. Eval: 0.0002 s/iter. Total: 0.0708 s/iter. ETA=0:00:13 +[04/11 00:56:07] d2.evaluation.evaluator INFO: Inference done 301/410. Dataloading: 0.0106 s/iter. Inference: 0.0589 s/iter. Eval: 0.0002 s/iter. Total: 0.0698 s/iter. ETA=0:00:07 +[04/11 00:56:12] d2.evaluation.evaluator INFO: Inference done 382/410. Dataloading: 0.0095 s/iter. Inference: 0.0583 s/iter. Eval: 0.0002 s/iter. Total: 0.0681 s/iter. ETA=0:00:01 +[04/11 00:56:14] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.301815 (0.067412 s / iter per device, on 1 devices) +[04/11 00:56:14] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057909 s / iter per device, on 1 devices) +[04/11 00:56:14] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 00:56:14] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 00:56:14] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 00:56:14] d2.evaluation.testing INFO: copypaste: 13.4955,32.8217,3.7852 +[04/11 00:56:14] d2.data.common INFO: Serializing the dataset using: +[04/11 00:56:14] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 00:56:14] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 00:56:14] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 00:56:14] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 00:56:17] d2.evaluation.evaluator INFO: Inference done 38/410. Dataloading: 0.0157 s/iter. Inference: 0.0581 s/iter. Eval: 0.0003 s/iter. Total: 0.0741 s/iter. ETA=0:00:27 +[04/11 00:56:22] d2.evaluation.evaluator INFO: Inference done 115/410. Dataloading: 0.0126 s/iter. Inference: 0.0551 s/iter. Eval: 0.0003 s/iter. Total: 0.0680 s/iter. ETA=0:00:20 +[04/11 00:56:27] d2.evaluation.evaluator INFO: Inference done 188/410. Dataloading: 0.0114 s/iter. Inference: 0.0564 s/iter. Eval: 0.0003 s/iter. Total: 0.0682 s/iter. ETA=0:00:15 +[04/11 00:56:32] d2.evaluation.evaluator INFO: Inference done 266/410. Dataloading: 0.0110 s/iter. Inference: 0.0558 s/iter. Eval: 0.0003 s/iter. Total: 0.0671 s/iter. ETA=0:00:09 +[04/11 00:56:37] d2.evaluation.evaluator INFO: Inference done 346/410. Dataloading: 0.0099 s/iter. Inference: 0.0559 s/iter. Eval: 0.0003 s/iter. Total: 0.0662 s/iter. ETA=0:00:04 +[04/11 00:56:41] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.548969 (0.065553 s / iter per device, on 1 devices) +[04/11 00:56:41] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.055726 s / iter per device, on 1 devices) +[04/11 00:56:42] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 00:56:42] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 00:56:42] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 00:56:42] d2.evaluation.testing INFO: copypaste: 1.7193,11.3496,0.0546 +[04/11 00:56:42] d2.utils.events INFO: eta: 10:36:19 iter: 25999 total_loss: 2.079 loss_cls: 0.01404 loss_box_reg: 0.02398 loss_rpn_cls: 0.1044 loss_rpn_loc: 0.001928 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.002828 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5568 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6936 time: 1.6778 last_time: 1.5533 data_time: 0.0078 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 00:57:14] d2.utils.events INFO: eta: 10:37:20 iter: 26019 total_loss: 1.74 loss_cls: 0.01184 loss_box_reg: 0.02629 loss_rpn_cls: 0.08908 loss_rpn_loc: 0.001507 loss_D_img_s: 0.6925 loss_cls_pseudo: 0.002161 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1926 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 1.6759 last_time: 1.6615 data_time: 0.0090 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 00:57:46] d2.utils.events INFO: eta: 10:37:56 iter: 26039 total_loss: 1.701 loss_cls: 0.01292 loss_box_reg: 0.02761 loss_rpn_cls: 0.06979 loss_rpn_loc: 0.001613 loss_D_img_s: 0.6919 loss_cls_pseudo: 0.001946 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1645 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6943 time: 1.6743 last_time: 1.5822 data_time: 0.0075 last_data_time: 0.0097 lr: 0.02 max_mem: 14768M +[04/11 00:58:18] d2.utils.events INFO: eta: 10:38:26 iter: 26059 total_loss: 1.938 loss_cls: 0.0154 loss_box_reg: 0.02111 loss_rpn_cls: 0.1232 loss_rpn_loc: 0.002021 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.00294 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3982 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 1.6728 last_time: 1.4447 data_time: 0.0079 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 00:58:50] d2.utils.events INFO: eta: 10:38:49 iter: 26079 total_loss: 2.109 loss_cls: 0.01119 loss_box_reg: 0.02767 loss_rpn_cls: 0.1301 loss_rpn_loc: 0.001719 loss_D_img_s: 0.6938 loss_cls_pseudo: 0.003161 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5552 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 1.6717 last_time: 1.7320 data_time: 0.0077 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 00:59:22] d2.utils.events INFO: eta: 10:39:06 iter: 26099 total_loss: 2.083 loss_cls: 0.0151 loss_box_reg: 0.02476 loss_rpn_cls: 0.1215 loss_rpn_loc: 0.001681 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.001927 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5329 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.6707 last_time: 1.6174 data_time: 0.0076 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 00:59:55] d2.utils.events INFO: eta: 10:39:08 iter: 26119 total_loss: 1.892 loss_cls: 0.009859 loss_box_reg: 0.02368 loss_rpn_cls: 0.08072 loss_rpn_loc: 0.001599 loss_D_img_s: 0.6927 loss_cls_pseudo: 0.00205 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3964 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 1.6697 last_time: 1.5000 data_time: 0.0087 last_data_time: 0.0117 lr: 0.02 max_mem: 14768M +[04/11 01:00:27] d2.utils.events INFO: eta: 10:39:32 iter: 26139 total_loss: 2.049 loss_cls: 0.01097 loss_box_reg: 0.02259 loss_rpn_cls: 0.1374 loss_rpn_loc: 0.001952 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.001871 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5101 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 1.6686 last_time: 1.7581 data_time: 0.0079 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 01:00:58] d2.utils.events INFO: eta: 10:39:17 iter: 26159 total_loss: 2.073 loss_cls: 0.01238 loss_box_reg: 0.02928 loss_rpn_cls: 0.08605 loss_rpn_loc: 0.001623 loss_D_img_s: 0.6925 loss_cls_pseudo: 0.002387 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5322 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6937 time: 1.6670 last_time: 1.6611 data_time: 0.0084 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 01:01:30] d2.utils.events INFO: eta: 10:38:41 iter: 26179 total_loss: 1.995 loss_cls: 0.0175 loss_box_reg: 0.02756 loss_rpn_cls: 0.1545 loss_rpn_loc: 0.001964 loss_D_img_s: 0.6941 loss_cls_pseudo: 0.002254 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3743 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 1.6654 last_time: 1.5404 data_time: 0.0085 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 01:02:02] d2.utils.events INFO: eta: 10:38:02 iter: 26199 total_loss: 1.973 loss_cls: 0.018 loss_box_reg: 0.02778 loss_rpn_cls: 0.1081 loss_rpn_loc: 0.001497 loss_D_img_s: 0.6938 loss_cls_pseudo: 0.001791 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3808 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.6640 last_time: 1.6571 data_time: 0.0087 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 01:02:33] d2.utils.events INFO: eta: 10:36:54 iter: 26219 total_loss: 1.82 loss_cls: 0.0136 loss_box_reg: 0.02728 loss_rpn_cls: 0.09692 loss_rpn_loc: 0.001561 loss_D_img_s: 0.6934 loss_cls_pseudo: 0.001742 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2344 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 1.6629 last_time: 1.6676 data_time: 0.0080 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 01:03:05] d2.utils.events INFO: eta: 10:36:16 iter: 26239 total_loss: 2.072 loss_cls: 0.01482 loss_box_reg: 0.02371 loss_rpn_cls: 0.1077 loss_rpn_loc: 0.001963 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.001967 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5297 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6617 last_time: 1.6014 data_time: 0.0077 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 01:03:37] d2.utils.events INFO: eta: 10:35:33 iter: 26259 total_loss: 1.777 loss_cls: 0.01564 loss_box_reg: 0.02557 loss_rpn_cls: 0.1087 loss_rpn_loc: 0.001563 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.001767 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2048 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6934 time: 1.6603 last_time: 1.4867 data_time: 0.0075 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 01:04:09] d2.utils.events INFO: eta: 10:35:17 iter: 26279 total_loss: 1.745 loss_cls: 0.01688 loss_box_reg: 0.02226 loss_rpn_cls: 0.08808 loss_rpn_loc: 0.001508 loss_D_img_s: 0.6926 loss_cls_pseudo: 0.001922 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.195 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6933 time: 1.6596 last_time: 1.5873 data_time: 0.0085 last_data_time: 0.0083 lr: 0.02 max_mem: 14768M +[04/11 01:04:41] d2.utils.events INFO: eta: 10:34:28 iter: 26299 total_loss: 1.63 loss_cls: 0.01567 loss_box_reg: 0.02439 loss_rpn_cls: 0.06683 loss_rpn_loc: 0.001529 loss_D_img_s: 0.6925 loss_cls_pseudo: 0.002607 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1133 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6944 time: 1.6585 last_time: 1.5861 data_time: 0.0083 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 01:05:13] d2.utils.events INFO: eta: 10:33:49 iter: 26319 total_loss: 1.932 loss_cls: 0.01675 loss_box_reg: 0.03302 loss_rpn_cls: 0.05221 loss_rpn_loc: 0.002 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.001962 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3691 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 1.6577 last_time: 1.3974 data_time: 0.0082 last_data_time: 0.0085 lr: 0.02 max_mem: 14768M +[04/11 01:05:45] d2.utils.events INFO: eta: 10:33:06 iter: 26339 total_loss: 1.979 loss_cls: 0.01481 loss_box_reg: 0.0257 loss_rpn_cls: 0.1373 loss_rpn_loc: 0.001779 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.001501 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.393 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 1.6571 last_time: 1.6717 data_time: 0.0081 last_data_time: 0.0100 lr: 0.02 max_mem: 14768M +[04/11 01:06:17] d2.utils.events INFO: eta: 10:32:26 iter: 26359 total_loss: 2.113 loss_cls: 0.01583 loss_box_reg: 0.03057 loss_rpn_cls: 0.1381 loss_rpn_loc: 0.00153 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.002162 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5285 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 1.6561 last_time: 1.5061 data_time: 0.0077 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 01:06:49] d2.utils.events INFO: eta: 10:32:02 iter: 26379 total_loss: 2.071 loss_cls: 0.01094 loss_box_reg: 0.02204 loss_rpn_cls: 0.1346 loss_rpn_loc: 0.001926 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.00208 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5192 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 1.6554 last_time: 1.4750 data_time: 0.0085 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 01:07:21] d2.utils.events INFO: eta: 10:31:09 iter: 26399 total_loss: 1.803 loss_cls: 0.01279 loss_box_reg: 0.0247 loss_rpn_cls: 0.08001 loss_rpn_loc: 0.001807 loss_D_img_s: 0.6921 loss_cls_pseudo: 0.002487 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2234 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6942 time: 1.6547 last_time: 1.6265 data_time: 0.0073 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 01:07:54] d2.utils.events INFO: eta: 10:29:56 iter: 26419 total_loss: 1.781 loss_cls: 0.01486 loss_box_reg: 0.02567 loss_rpn_cls: 0.05055 loss_rpn_loc: 0.001592 loss_D_img_s: 0.692 loss_cls_pseudo: 0.001257 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2238 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6942 time: 1.6540 last_time: 1.6293 data_time: 0.0078 last_data_time: 0.0057 lr: 0.02 max_mem: 14768M +[04/11 01:08:25] d2.utils.events INFO: eta: 10:29:04 iter: 26439 total_loss: 1.685 loss_cls: 0.01152 loss_box_reg: 0.02305 loss_rpn_cls: 0.06057 loss_rpn_loc: 0.001576 loss_D_img_s: 0.6927 loss_cls_pseudo: 0.001433 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1817 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6935 time: 1.6531 last_time: 1.6197 data_time: 0.0077 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 01:08:57] d2.utils.events INFO: eta: 10:28:24 iter: 26459 total_loss: 1.731 loss_cls: 0.01225 loss_box_reg: 0.02426 loss_rpn_cls: 0.05377 loss_rpn_loc: 0.001727 loss_D_img_s: 0.6926 loss_cls_pseudo: 0.001131 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2203 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6935 time: 1.6524 last_time: 1.5733 data_time: 0.0082 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 01:09:29] d2.utils.events INFO: eta: 10:27:44 iter: 26479 total_loss: 2.058 loss_cls: 0.01221 loss_box_reg: 0.02485 loss_rpn_cls: 0.04516 loss_rpn_loc: 0.00177 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.002931 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.545 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6516 last_time: 1.5687 data_time: 0.0082 last_data_time: 0.0085 lr: 0.02 max_mem: 14768M +[04/11 01:10:02] d2.utils.events INFO: eta: 10:27:15 iter: 26499 total_loss: 2.083 loss_cls: 0.01443 loss_box_reg: 0.02705 loss_rpn_cls: 0.1485 loss_rpn_loc: 0.001493 loss_D_img_s: 0.6941 loss_cls_pseudo: 0.003331 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5272 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 1.6511 last_time: 1.5006 data_time: 0.0083 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 01:10:34] d2.utils.events INFO: eta: 10:27:04 iter: 26519 total_loss: 1.938 loss_cls: 0.01086 loss_box_reg: 0.02166 loss_rpn_cls: 0.1605 loss_rpn_loc: 0.001912 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.001291 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2511 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6919 time: 1.6510 last_time: 1.6434 data_time: 0.0085 last_data_time: 0.0096 lr: 0.02 max_mem: 14768M +[04/11 01:11:07] d2.utils.events INFO: eta: 10:26:11 iter: 26539 total_loss: 2.029 loss_cls: 0.009439 loss_box_reg: 0.01923 loss_rpn_cls: 0.09072 loss_rpn_loc: 0.001634 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.001482 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5228 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 1.6506 last_time: 1.5574 data_time: 0.0074 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 01:11:39] d2.utils.events INFO: eta: 10:25:38 iter: 26559 total_loss: 2.049 loss_cls: 0.01045 loss_box_reg: 0.02321 loss_rpn_cls: 0.1414 loss_rpn_loc: 0.001678 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.002701 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.521 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.6498 last_time: 1.5144 data_time: 0.0075 last_data_time: 0.0083 lr: 0.02 max_mem: 14768M +[04/11 01:12:11] d2.utils.events INFO: eta: 10:25:02 iter: 26579 total_loss: 1.739 loss_cls: 0.01015 loss_box_reg: 0.02104 loss_rpn_cls: 0.09199 loss_rpn_loc: 0.001565 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.001837 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2069 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6933 time: 1.6493 last_time: 1.5410 data_time: 0.0089 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 01:12:43] d2.utils.events INFO: eta: 10:24:05 iter: 26599 total_loss: 1.995 loss_cls: 0.01004 loss_box_reg: 0.02674 loss_rpn_cls: 0.05374 loss_rpn_loc: 0.00165 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.001428 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5308 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6934 time: 1.6485 last_time: 1.7198 data_time: 0.0078 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 01:13:15] d2.utils.events INFO: eta: 10:23:38 iter: 26619 total_loss: 1.773 loss_cls: 0.01118 loss_box_reg: 0.02597 loss_rpn_cls: 0.08873 loss_rpn_loc: 0.001537 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.001786 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1959 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 1.6482 last_time: 1.8092 data_time: 0.0080 last_data_time: 0.0083 lr: 0.02 max_mem: 14768M +[04/11 01:13:47] d2.utils.events INFO: eta: 10:22:57 iter: 26639 total_loss: 1.737 loss_cls: 0.01203 loss_box_reg: 0.02678 loss_rpn_cls: 0.06278 loss_rpn_loc: 0.001882 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.001852 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1931 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 1.6476 last_time: 1.7830 data_time: 0.0084 last_data_time: 0.0099 lr: 0.02 max_mem: 14768M +[04/11 01:14:19] d2.utils.events INFO: eta: 10:21:44 iter: 26659 total_loss: 2.016 loss_cls: 0.01305 loss_box_reg: 0.0234 loss_rpn_cls: 0.1287 loss_rpn_loc: 0.001597 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.001396 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.421 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 1.6468 last_time: 1.5371 data_time: 0.0081 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 01:14:52] d2.utils.events INFO: eta: 10:21:16 iter: 26679 total_loss: 2.097 loss_cls: 0.01522 loss_box_reg: 0.02742 loss_rpn_cls: 0.1654 loss_rpn_loc: 0.001601 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.003631 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5326 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 1.6467 last_time: 1.6457 data_time: 0.0085 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 01:15:24] d2.utils.events INFO: eta: 10:20:37 iter: 26699 total_loss: 2.048 loss_cls: 0.01385 loss_box_reg: 0.02624 loss_rpn_cls: 0.1 loss_rpn_loc: 0.001887 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.001523 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5404 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 1.6463 last_time: 1.6969 data_time: 0.0084 last_data_time: 0.0103 lr: 0.02 max_mem: 14768M +[04/11 01:15:56] d2.utils.events INFO: eta: 10:20:08 iter: 26719 total_loss: 2.017 loss_cls: 0.01168 loss_box_reg: 0.02295 loss_rpn_cls: 0.07875 loss_rpn_loc: 0.001501 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.002386 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5262 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 1.6457 last_time: 1.6401 data_time: 0.0074 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 01:16:28] d2.utils.events INFO: eta: 10:19:32 iter: 26739 total_loss: 1.783 loss_cls: 0.0109 loss_box_reg: 0.02583 loss_rpn_cls: 0.05799 loss_rpn_loc: 0.001384 loss_D_img_s: 0.6927 loss_cls_pseudo: 0.0006718 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2405 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6936 time: 1.6453 last_time: 1.6322 data_time: 0.0080 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 01:17:00] d2.utils.events INFO: eta: 10:18:49 iter: 26759 total_loss: 1.692 loss_cls: 0.01102 loss_box_reg: 0.024 loss_rpn_cls: 0.02747 loss_rpn_loc: 0.001468 loss_D_img_s: 0.6921 loss_cls_pseudo: 0.001194 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2226 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 1.6450 last_time: 1.5061 data_time: 0.0085 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 01:17:33] d2.utils.events INFO: eta: 10:17:56 iter: 26779 total_loss: 2.031 loss_cls: 0.01201 loss_box_reg: 0.02899 loss_rpn_cls: 0.05033 loss_rpn_loc: 0.001427 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.001218 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5339 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 1.6447 last_time: 1.5166 data_time: 0.0084 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 01:18:04] d2.utils.events INFO: eta: 10:15:33 iter: 26799 total_loss: 2.067 loss_cls: 0.01316 loss_box_reg: 0.02551 loss_rpn_cls: 0.1519 loss_rpn_loc: 0.00169 loss_D_img_s: 0.6941 loss_cls_pseudo: 0.00128 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5079 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 1.6441 last_time: 1.4783 data_time: 0.0081 last_data_time: 0.0061 lr: 0.02 max_mem: 14768M +[04/11 01:18:36] d2.utils.events INFO: eta: 10:14:23 iter: 26819 total_loss: 2.049 loss_cls: 0.01294 loss_box_reg: 0.0245 loss_rpn_cls: 0.09064 loss_rpn_loc: 0.001502 loss_D_img_s: 0.6938 loss_cls_pseudo: 0.001263 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.529 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 1.6435 last_time: 1.6454 data_time: 0.0078 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 01:19:09] d2.utils.events INFO: eta: 10:13:39 iter: 26839 total_loss: 1.924 loss_cls: 0.009729 loss_box_reg: 0.02246 loss_rpn_cls: 0.06288 loss_rpn_loc: 0.001594 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.001896 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3856 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 1.6433 last_time: 1.5871 data_time: 0.0078 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 01:19:42] d2.utils.events INFO: eta: 10:12:54 iter: 26859 total_loss: 1.818 loss_cls: 0.008901 loss_box_reg: 0.02515 loss_rpn_cls: 0.05001 loss_rpn_loc: 0.001549 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.001155 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2596 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 1.6434 last_time: 2.1787 data_time: 0.0085 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 01:20:14] d2.utils.events INFO: eta: 10:12:12 iter: 26879 total_loss: 2.027 loss_cls: 0.01283 loss_box_reg: 0.02528 loss_rpn_cls: 0.1088 loss_rpn_loc: 0.001578 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.001534 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5141 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.6432 last_time: 1.6407 data_time: 0.0079 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 01:20:47] d2.utils.events INFO: eta: 10:11:37 iter: 26899 total_loss: 1.746 loss_cls: 0.01259 loss_box_reg: 0.0269 loss_rpn_cls: 0.06434 loss_rpn_loc: 0.001542 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.003794 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2025 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.6428 last_time: 1.9604 data_time: 0.0080 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 01:21:19] d2.utils.events INFO: eta: 10:11:01 iter: 26919 total_loss: 2.001 loss_cls: 0.01241 loss_box_reg: 0.02716 loss_rpn_cls: 0.06758 loss_rpn_loc: 0.001682 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.001628 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5257 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 1.6427 last_time: 1.5962 data_time: 0.0088 last_data_time: 0.0059 lr: 0.02 max_mem: 14768M +[04/11 01:21:51] d2.utils.events INFO: eta: 10:10:29 iter: 26939 total_loss: 2.035 loss_cls: 0.01161 loss_box_reg: 0.0273 loss_rpn_cls: 0.06147 loss_rpn_loc: 0.001306 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.001431 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5371 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 1.6421 last_time: 1.6327 data_time: 0.0082 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 01:22:23] d2.utils.events INFO: eta: 10:10:19 iter: 26959 total_loss: 2.05 loss_cls: 0.01096 loss_box_reg: 0.02524 loss_rpn_cls: 0.1347 loss_rpn_loc: 0.001604 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.003356 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5017 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6418 last_time: 1.6313 data_time: 0.0076 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 01:22:56] d2.utils.events INFO: eta: 10:09:39 iter: 26979 total_loss: 1.899 loss_cls: 0.009513 loss_box_reg: 0.02397 loss_rpn_cls: 0.07844 loss_rpn_loc: 0.001478 loss_D_img_s: 0.693 loss_cls_pseudo: 0.001958 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.39 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6932 time: 1.6416 last_time: 1.5824 data_time: 0.0084 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 01:23:27] d2.data.common INFO: Serializing the dataset using: +[04/11 01:23:27] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 01:23:27] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 01:23:27] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 01:23:27] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 01:23:29] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0147 s/iter. Inference: 0.0625 s/iter. Eval: 0.0002 s/iter. Total: 0.0775 s/iter. ETA=0:00:30 +[04/11 01:23:34] d2.evaluation.evaluator INFO: Inference done 79/410. Dataloading: 0.0122 s/iter. Inference: 0.0613 s/iter. Eval: 0.0004 s/iter. Total: 0.0740 s/iter. ETA=0:00:24 +[04/11 01:23:39] d2.evaluation.evaluator INFO: Inference done 160/410. Dataloading: 0.0094 s/iter. Inference: 0.0578 s/iter. Eval: 0.0003 s/iter. Total: 0.0676 s/iter. ETA=0:00:16 +[04/11 01:23:44] d2.evaluation.evaluator INFO: Inference done 234/410. Dataloading: 0.0090 s/iter. Inference: 0.0583 s/iter. Eval: 0.0003 s/iter. Total: 0.0677 s/iter. ETA=0:00:11 +[04/11 01:23:49] d2.evaluation.evaluator INFO: Inference done 315/410. Dataloading: 0.0084 s/iter. Inference: 0.0575 s/iter. Eval: 0.0003 s/iter. Total: 0.0662 s/iter. ETA=0:00:06 +[04/11 01:23:54] d2.evaluation.evaluator INFO: Inference done 398/410. Dataloading: 0.0083 s/iter. Inference: 0.0565 s/iter. Eval: 0.0003 s/iter. Total: 0.0651 s/iter. ETA=0:00:00 +[04/11 01:23:55] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.415033 (0.065222 s / iter per device, on 1 devices) +[04/11 01:23:55] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.056286 s / iter per device, on 1 devices) +[04/11 01:23:55] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 01:23:55] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 01:23:55] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 01:23:55] d2.evaluation.testing INFO: copypaste: 14.1808,32.7822,8.9123 +[04/11 01:23:55] d2.data.common INFO: Serializing the dataset using: +[04/11 01:23:55] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 01:23:55] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 01:23:55] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 01:23:55] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 01:23:59] d2.evaluation.evaluator INFO: Inference done 50/410. Dataloading: 0.0140 s/iter. Inference: 0.0564 s/iter. Eval: 0.0003 s/iter. Total: 0.0706 s/iter. ETA=0:00:25 +[04/11 01:24:04] d2.evaluation.evaluator INFO: Inference done 123/410. Dataloading: 0.0115 s/iter. Inference: 0.0577 s/iter. Eval: 0.0002 s/iter. Total: 0.0695 s/iter. ETA=0:00:19 +[04/11 01:24:09] d2.evaluation.evaluator INFO: Inference done 196/410. Dataloading: 0.0121 s/iter. Inference: 0.0573 s/iter. Eval: 0.0003 s/iter. Total: 0.0697 s/iter. ETA=0:00:14 +[04/11 01:24:14] d2.evaluation.evaluator INFO: Inference done 273/410. Dataloading: 0.0107 s/iter. Inference: 0.0574 s/iter. Eval: 0.0003 s/iter. Total: 0.0684 s/iter. ETA=0:00:09 +[04/11 01:24:19] d2.evaluation.evaluator INFO: Inference done 341/410. Dataloading: 0.0112 s/iter. Inference: 0.0579 s/iter. Eval: 0.0003 s/iter. Total: 0.0695 s/iter. ETA=0:00:04 +[04/11 01:24:24] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.777583 (0.068587 s / iter per device, on 1 devices) +[04/11 01:24:24] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.056971 s / iter per device, on 1 devices) +[04/11 01:24:24] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 01:24:24] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 01:24:24] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 01:24:24] d2.evaluation.testing INFO: copypaste: 7.5922,28.0779,0.7572 +[04/11 01:24:24] d2.utils.events INFO: eta: 10:09:01 iter: 26999 total_loss: 1.788 loss_cls: 0.01032 loss_box_reg: 0.02947 loss_rpn_cls: 0.08809 loss_rpn_loc: 0.001524 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.002471 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1928 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 1.6411 last_time: 1.6783 data_time: 0.0080 last_data_time: 0.0108 lr: 0.02 max_mem: 14768M +[04/11 01:24:56] d2.utils.events INFO: eta: 10:08:26 iter: 27019 total_loss: 2.049 loss_cls: 0.01068 loss_box_reg: 0.02516 loss_rpn_cls: 0.08227 loss_rpn_loc: 0.001449 loss_D_img_s: 0.6934 loss_cls_pseudo: 0.001318 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.535 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6406 last_time: 1.6748 data_time: 0.0077 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 01:25:28] d2.utils.events INFO: eta: 10:07:58 iter: 27039 total_loss: 1.67 loss_cls: 0.01304 loss_box_reg: 0.02028 loss_rpn_cls: 0.0833 loss_rpn_loc: 0.001295 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.001404 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1515 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 1.6400 last_time: 1.5264 data_time: 0.0082 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 01:26:00] d2.utils.events INFO: eta: 10:07:36 iter: 27059 total_loss: 1.896 loss_cls: 0.01193 loss_box_reg: 0.02197 loss_rpn_cls: 0.05388 loss_rpn_loc: 0.001379 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.00258 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3892 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 1.6399 last_time: 1.4602 data_time: 0.0082 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 01:26:33] d2.utils.events INFO: eta: 10:07:09 iter: 27079 total_loss: 1.846 loss_cls: 0.01168 loss_box_reg: 0.02424 loss_rpn_cls: 0.1384 loss_rpn_loc: 0.001592 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.004106 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2365 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.6398 last_time: 1.4055 data_time: 0.0083 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 01:27:07] d2.utils.events INFO: eta: 10:07:07 iter: 27099 total_loss: 2.041 loss_cls: 0.007619 loss_box_reg: 0.0224 loss_rpn_cls: 0.08794 loss_rpn_loc: 0.00143 loss_D_img_s: 0.6934 loss_cls_pseudo: 0.00105 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5358 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 1.6403 last_time: 1.7345 data_time: 0.0079 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 01:27:40] d2.utils.events INFO: eta: 10:06:34 iter: 27119 total_loss: 2.05 loss_cls: 0.01221 loss_box_reg: 0.02401 loss_rpn_cls: 0.1137 loss_rpn_loc: 0.001506 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.0003956 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5154 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.6403 last_time: 1.6321 data_time: 0.0078 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 01:28:13] d2.utils.events INFO: eta: 10:06:07 iter: 27139 total_loss: 2.043 loss_cls: 0.009765 loss_box_reg: 0.02216 loss_rpn_cls: 0.1074 loss_rpn_loc: 0.001348 loss_D_img_s: 0.6934 loss_cls_pseudo: 0.0005584 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5131 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 1.6404 last_time: 1.6481 data_time: 0.0079 last_data_time: 0.0097 lr: 0.02 max_mem: 14768M +[04/11 01:28:46] d2.utils.events INFO: eta: 10:05:44 iter: 27159 total_loss: 1.981 loss_cls: 0.008122 loss_box_reg: 0.02256 loss_rpn_cls: 0.1424 loss_rpn_loc: 0.001763 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.002015 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4057 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6405 last_time: 1.5831 data_time: 0.0086 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 01:29:18] d2.utils.events INFO: eta: 10:05:39 iter: 27179 total_loss: 1.817 loss_cls: 0.0097 loss_box_reg: 0.02227 loss_rpn_cls: 0.09708 loss_rpn_loc: 0.001314 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.001312 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2555 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 1.6404 last_time: 1.6154 data_time: 0.0082 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 01:29:51] d2.utils.events INFO: eta: 10:05:44 iter: 27199 total_loss: 1.665 loss_cls: 0.008907 loss_box_reg: 0.02225 loss_rpn_cls: 0.05512 loss_rpn_loc: 0.001446 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.001808 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.177 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6402 last_time: 1.6794 data_time: 0.0080 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 01:30:23] d2.utils.events INFO: eta: 10:05:33 iter: 27219 total_loss: 1.766 loss_cls: 0.01156 loss_box_reg: 0.02583 loss_rpn_cls: 0.05198 loss_rpn_loc: 0.001461 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.0008203 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.206 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6401 last_time: 1.6526 data_time: 0.0091 last_data_time: 0.0117 lr: 0.02 max_mem: 14768M +[04/11 01:30:56] d2.utils.events INFO: eta: 10:05:23 iter: 27239 total_loss: 2.076 loss_cls: 0.009345 loss_box_reg: 0.02365 loss_rpn_cls: 0.09992 loss_rpn_loc: 0.001297 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.001194 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5422 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 1.6401 last_time: 1.5882 data_time: 0.0083 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 01:31:29] d2.utils.events INFO: eta: 10:05:19 iter: 27259 total_loss: 2.117 loss_cls: 0.01266 loss_box_reg: 0.02377 loss_rpn_cls: 0.192 loss_rpn_loc: 0.001887 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.001233 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5009 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6928 time: 1.6401 last_time: 1.5402 data_time: 0.0080 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 01:32:02] d2.utils.events INFO: eta: 10:05:07 iter: 27279 total_loss: 2.043 loss_cls: 0.01028 loss_box_reg: 0.0213 loss_rpn_cls: 0.1306 loss_rpn_loc: 0.001347 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.002536 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5093 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 1.6401 last_time: 1.6797 data_time: 0.0088 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 01:32:34] d2.utils.events INFO: eta: 10:04:47 iter: 27299 total_loss: 1.998 loss_cls: 0.01107 loss_box_reg: 0.02259 loss_rpn_cls: 0.06269 loss_rpn_loc: 0.001488 loss_D_img_s: 0.693 loss_cls_pseudo: 0.0009992 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5202 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6932 time: 1.6399 last_time: 1.7175 data_time: 0.0082 last_data_time: 0.0090 lr: 0.02 max_mem: 14768M +[04/11 01:33:07] d2.utils.events INFO: eta: 10:04:15 iter: 27319 total_loss: 2 loss_cls: 0.01059 loss_box_reg: 0.02668 loss_rpn_cls: 0.08567 loss_rpn_loc: 0.001582 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.002467 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5044 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6926 time: 1.6398 last_time: 1.5501 data_time: 0.0075 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 01:33:38] d2.utils.events INFO: eta: 10:03:43 iter: 27339 total_loss: 1.733 loss_cls: 0.007943 loss_box_reg: 0.02863 loss_rpn_cls: 0.05122 loss_rpn_loc: 0.001461 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.000707 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.217 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 1.6394 last_time: 1.6890 data_time: 0.0080 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 01:34:11] d2.utils.events INFO: eta: 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last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 01:39:33] d2.utils.events INFO: eta: 9:58:01 iter: 27559 total_loss: 2.142 loss_cls: 0.01186 loss_box_reg: 0.02207 loss_rpn_cls: 0.1347 loss_rpn_loc: 0.001738 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.002273 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5758 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 1.6369 last_time: 1.5600 data_time: 0.0080 last_data_time: 0.0060 lr: 0.02 max_mem: 14768M +[04/11 01:40:05] d2.utils.events INFO: eta: 9:57:58 iter: 27579 total_loss: 2.149 loss_cls: 0.0133 loss_box_reg: 0.0277 loss_rpn_cls: 0.1325 loss_rpn_loc: 0.002041 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.001268 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5975 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 1.6367 last_time: 1.4059 data_time: 0.0079 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 01:40:38] d2.utils.events INFO: eta: 9:58:02 iter: 27599 total_loss: 2.164 loss_cls: 0.014 loss_box_reg: 0.02124 loss_rpn_cls: 0.1868 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0.02431 loss_rpn_cls: 0.043 loss_rpn_loc: 0.002021 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.001374 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2059 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6921 time: 1.6440 last_time: 1.6734 data_time: 0.0089 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 01:44:14] d2.utils.events INFO: eta: 9:56:16 iter: 27719 total_loss: 1.65 loss_cls: 0.008097 loss_box_reg: 0.02261 loss_rpn_cls: 0.07687 loss_rpn_loc: 0.001428 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.00118 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1286 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6914 time: 1.6439 last_time: 1.6916 data_time: 0.0083 last_data_time: 0.0085 lr: 0.02 max_mem: 14768M +[04/11 01:44:46] d2.utils.events INFO: eta: 9:55:47 iter: 27739 total_loss: 2.111 loss_cls: 0.0099 loss_box_reg: 0.02539 loss_rpn_cls: 0.08794 loss_rpn_loc: 0.001662 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.002303 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5636 loss_rpn_loc_pseudo: 0 loss_D_img_t: 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9:51:53 iter: 27899 total_loss: 1.748 loss_cls: 0.01121 loss_box_reg: 0.02375 loss_rpn_cls: 0.05998 loss_rpn_loc: 0.001566 loss_D_img_s: 0.6952 loss_cls_pseudo: 0.002985 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.214 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6908 time: 1.6429 last_time: 1.5577 data_time: 0.0080 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 01:49:40] d2.utils.events INFO: eta: 9:52:20 iter: 27919 total_loss: 2.047 loss_cls: 0.01364 loss_box_reg: 0.02624 loss_rpn_cls: 0.1131 loss_rpn_loc: 0.001359 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.002065 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5028 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 1.6430 last_time: 1.6530 data_time: 0.0079 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 01:50:13] d2.utils.events INFO: eta: 9:52:01 iter: 27939 total_loss: 1.8 loss_cls: 0.009871 loss_box_reg: 0.02245 loss_rpn_cls: 0.09176 loss_rpn_loc: 0.001425 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.00195 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.274 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6916 time: 1.6429 last_time: 1.5582 data_time: 0.0084 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 01:50:46] d2.utils.events INFO: eta: 9:51:29 iter: 27959 total_loss: 2.028 loss_cls: 0.009201 loss_box_reg: 0.02099 loss_rpn_cls: 0.09625 loss_rpn_loc: 0.00114 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.0006395 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5011 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6902 time: 1.6430 last_time: 1.5847 data_time: 0.0077 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 01:51:18] d2.utils.events INFO: eta: 9:51:10 iter: 27979 total_loss: 1.731 loss_cls: 0.007449 loss_box_reg: 0.02172 loss_rpn_cls: 0.05748 loss_rpn_loc: 0.00117 loss_D_img_s: 0.694 loss_cls_pseudo: 0.00105 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2595 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6902 time: 1.6428 last_time: 1.5431 data_time: 0.0080 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 01:51:50] d2.data.common INFO: Serializing the dataset using: +[04/11 01:51:50] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 01:51:50] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 01:51:50] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 01:51:50] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 01:51:52] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0267 s/iter. Inference: 0.0575 s/iter. Eval: 0.0002 s/iter. Total: 0.0844 s/iter. ETA=0:00:33 +[04/11 01:51:57] d2.evaluation.evaluator INFO: Inference done 82/410. Dataloading: 0.0121 s/iter. Inference: 0.0605 s/iter. Eval: 0.0003 s/iter. Total: 0.0730 s/iter. ETA=0:00:23 +[04/11 01:52:02] d2.evaluation.evaluator INFO: Inference done 158/410. Dataloading: 0.0113 s/iter. Inference: 0.0582 s/iter. Eval: 0.0002 s/iter. Total: 0.0698 s/iter. ETA=0:00:17 +[04/11 01:52:07] d2.evaluation.evaluator INFO: Inference done 231/410. Dataloading: 0.0112 s/iter. Inference: 0.0580 s/iter. Eval: 0.0002 s/iter. Total: 0.0695 s/iter. ETA=0:00:12 +[04/11 01:52:12] d2.evaluation.evaluator INFO: Inference done 306/410. Dataloading: 0.0108 s/iter. Inference: 0.0577 s/iter. Eval: 0.0003 s/iter. Total: 0.0689 s/iter. ETA=0:00:07 +[04/11 01:52:17] d2.evaluation.evaluator INFO: Inference done 377/410. Dataloading: 0.0111 s/iter. Inference: 0.0578 s/iter. Eval: 0.0002 s/iter. Total: 0.0692 s/iter. ETA=0:00:02 +[04/11 01:52:19] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.735200 (0.068482 s / iter per device, on 1 devices) +[04/11 01:52:19] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057536 s / iter per device, on 1 devices) +[04/11 01:52:19] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 01:52:19] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 01:52:19] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 01:52:19] d2.evaluation.testing INFO: copypaste: 11.0831,30.7910,1.8332 +[04/11 01:52:19] d2.data.common INFO: Serializing the dataset using: +[04/11 01:52:19] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 01:52:19] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 01:52:19] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 01:52:19] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 01:52:22] d2.evaluation.evaluator INFO: Inference done 29/410. Dataloading: 0.0165 s/iter. Inference: 0.0592 s/iter. Eval: 0.0002 s/iter. Total: 0.0760 s/iter. ETA=0:00:28 +[04/11 01:52:27] d2.evaluation.evaluator INFO: Inference done 97/410. Dataloading: 0.0152 s/iter. Inference: 0.0602 s/iter. Eval: 0.0003 s/iter. Total: 0.0757 s/iter. ETA=0:00:23 +[04/11 01:52:32] d2.evaluation.evaluator INFO: Inference done 165/410. Dataloading: 0.0160 s/iter. Inference: 0.0585 s/iter. Eval: 0.0003 s/iter. Total: 0.0749 s/iter. ETA=0:00:18 +[04/11 01:52:37] d2.evaluation.evaluator INFO: Inference done 236/410. Dataloading: 0.0150 s/iter. Inference: 0.0583 s/iter. Eval: 0.0003 s/iter. Total: 0.0737 s/iter. ETA=0:00:12 +[04/11 01:52:42] d2.evaluation.evaluator INFO: Inference done 301/410. Dataloading: 0.0165 s/iter. Inference: 0.0576 s/iter. Eval: 0.0003 s/iter. Total: 0.0746 s/iter. ETA=0:00:08 +[04/11 01:52:47] d2.evaluation.evaluator INFO: Inference done 371/410. Dataloading: 0.0154 s/iter. Inference: 0.0582 s/iter. Eval: 0.0003 s/iter. Total: 0.0740 s/iter. ETA=0:00:02 +[04/11 01:52:50] d2.evaluation.evaluator INFO: Total inference time: 0:00:30.214351 (0.074603 s / iter per device, on 1 devices) +[04/11 01:52:50] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.058202 s / iter per device, on 1 devices) +[04/11 01:52:51] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 01:52:51] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 01:52:51] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 01:52:51] d2.evaluation.testing INFO: copypaste: 11.0810,34.4589,2.2544 +[04/11 01:52:51] d2.utils.events INFO: eta: 9:50:38 iter: 27999 total_loss: 2.043 loss_cls: 0.01108 loss_box_reg: 0.0182 loss_rpn_cls: 0.09957 loss_rpn_loc: 0.001502 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.0008738 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5379 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6904 time: 1.6425 last_time: 1.7031 data_time: 0.0082 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 01:53:23] d2.utils.events INFO: eta: 9:50:09 iter: 28019 total_loss: 2.001 loss_cls: 0.01118 loss_box_reg: 0.02747 loss_rpn_cls: 0.09841 loss_rpn_loc: 0.001451 loss_D_img_s: 0.6948 loss_cls_pseudo: 0.002399 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5064 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.692 time: 1.6425 last_time: 1.6547 data_time: 0.0081 last_data_time: 0.0115 lr: 0.02 max_mem: 14768M +[04/11 01:53:56] d2.utils.events INFO: eta: 9:49:41 iter: 28039 total_loss: 1.905 loss_cls: 0.0125 loss_box_reg: 0.02736 loss_rpn_cls: 0.05429 loss_rpn_loc: 0.00132 loss_D_img_s: 0.6924 loss_cls_pseudo: 0.002431 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.395 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6912 time: 1.6423 last_time: 1.5639 data_time: 0.0077 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 01:54:28] d2.utils.events INFO: eta: 9:48:57 iter: 28059 total_loss: 1.742 loss_cls: 0.0115 loss_box_reg: 0.02661 loss_rpn_cls: 0.06859 loss_rpn_loc: 0.001433 loss_D_img_s: 0.694 loss_cls_pseudo: 0.001534 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2369 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6887 time: 1.6421 last_time: 1.7069 data_time: 0.0076 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 01:55:01] d2.utils.events INFO: eta: 9:48:25 iter: 28079 total_loss: 2.09 loss_cls: 0.01084 loss_box_reg: 0.02659 loss_rpn_cls: 0.1415 loss_rpn_loc: 0.001604 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.001599 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5137 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.692 time: 1.6420 last_time: 1.7413 data_time: 0.0080 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 01:55:33] d2.utils.events INFO: eta: 9:47:44 iter: 28099 total_loss: 2.048 loss_cls: 0.009036 loss_box_reg: 0.02495 loss_rpn_cls: 0.1078 loss_rpn_loc: 0.001419 loss_D_img_s: 0.6917 loss_cls_pseudo: 0.00159 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5007 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 1.6420 last_time: 1.5799 data_time: 0.0078 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 01:56:06] d2.utils.events INFO: eta: 9:47:20 iter: 28119 total_loss: 1.925 loss_cls: 0.009046 loss_box_reg: 0.02347 loss_rpn_cls: 0.06398 loss_rpn_loc: 0.001486 loss_D_img_s: 0.6959 loss_cls_pseudo: 0.001045 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3812 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6886 time: 1.6421 last_time: 1.5863 data_time: 0.0082 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 01:56:39] d2.utils.events INFO: eta: 9:46:23 iter: 28139 total_loss: 1.911 loss_cls: 0.009581 loss_box_reg: 0.02026 loss_rpn_cls: 0.056 loss_rpn_loc: 0.001648 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.001141 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3661 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6883 time: 1.6419 last_time: 1.5320 data_time: 0.0075 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 01:57:12] d2.utils.events INFO: eta: 9:46:21 iter: 28159 total_loss: 1.714 loss_cls: 0.007523 loss_box_reg: 0.02162 loss_rpn_cls: 0.08079 loss_rpn_loc: 0.001445 loss_D_img_s: 0.6962 loss_cls_pseudo: 0.001286 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2017 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.688 time: 1.6421 last_time: 1.6312 data_time: 0.0080 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 01:57:45] d2.utils.events INFO: eta: 9:45:35 iter: 28179 total_loss: 1.85 loss_cls: 0.009698 loss_box_reg: 0.02439 loss_rpn_cls: 0.04587 loss_rpn_loc: 0.001386 loss_D_img_s: 0.6972 loss_cls_pseudo: 0.001004 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3557 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6863 time: 1.6420 last_time: 1.5034 data_time: 0.0082 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 01:58:18] d2.utils.events INFO: eta: 9:45:23 iter: 28199 total_loss: 1.883 loss_cls: 0.01061 loss_box_reg: 0.02272 loss_rpn_cls: 0.05155 loss_rpn_loc: 0.001386 loss_D_img_s: 0.6991 loss_cls_pseudo: 0.004844 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4064 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.683 time: 1.6421 last_time: 1.5838 data_time: 0.0080 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 01:58:49] d2.utils.events INFO: eta: 9:44:23 iter: 28219 total_loss: 2.02 loss_cls: 0.01468 loss_box_reg: 0.0312 loss_rpn_cls: 0.06708 loss_rpn_loc: 0.00135 loss_D_img_s: 0.6998 loss_cls_pseudo: 0.001631 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5179 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6834 time: 1.6417 last_time: 1.4990 data_time: 0.0072 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 01:59:22] d2.utils.events INFO: eta: 9:43:14 iter: 28239 total_loss: 1.888 loss_cls: 0.009884 loss_box_reg: 0.02723 loss_rpn_cls: 0.1354 loss_rpn_loc: 0.001449 loss_D_img_s: 0.6909 loss_cls_pseudo: 0.001371 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2397 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6957 time: 1.6415 last_time: 1.6484 data_time: 0.0079 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 01:59:54] d2.utils.events INFO: eta: 9:42:31 iter: 28259 total_loss: 1.878 loss_cls: 0.009795 loss_box_reg: 0.02437 loss_rpn_cls: 0.07008 loss_rpn_loc: 0.001478 loss_D_img_s: 0.6909 loss_cls_pseudo: 0.001842 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4078 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6903 time: 1.6413 last_time: 1.7248 data_time: 0.0078 last_data_time: 0.0097 lr: 0.02 max_mem: 14768M +[04/11 02:00:26] d2.utils.events INFO: eta: 9:42:05 iter: 28279 total_loss: 2.022 loss_cls: 0.01084 loss_box_reg: 0.02478 loss_rpn_cls: 0.05076 loss_rpn_loc: 0.001298 loss_D_img_s: 0.6942 loss_cls_pseudo: 0.001156 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5432 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6903 time: 1.6412 last_time: 1.8182 data_time: 0.0083 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 02:00:59] d2.utils.events INFO: eta: 9:42:01 iter: 28299 total_loss: 2.003 loss_cls: 0.009666 loss_box_reg: 0.02461 loss_rpn_cls: 0.07812 loss_rpn_loc: 0.001365 loss_D_img_s: 0.6992 loss_cls_pseudo: 0.0005857 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5091 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6843 time: 1.6412 last_time: 1.6395 data_time: 0.0080 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 02:01:32] d2.utils.events INFO: eta: 9:41:57 iter: 28319 total_loss: 1.779 loss_cls: 0.009534 loss_box_reg: 0.01987 loss_rpn_cls: 0.09 loss_rpn_loc: 0.001297 loss_D_img_s: 0.6985 loss_cls_pseudo: 0.0005388 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2307 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6821 time: 1.6410 last_time: 1.6149 data_time: 0.0083 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 02:02:04] d2.utils.events INFO: eta: 9:41:24 iter: 28339 total_loss: 1.879 loss_cls: 0.01337 loss_box_reg: 0.0238 loss_rpn_cls: 0.0852 loss_rpn_loc: 0.001222 loss_D_img_s: 0.6902 loss_cls_pseudo: 0.001699 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3661 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6883 time: 1.6408 last_time: 1.6859 data_time: 0.0081 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 02:02:36] d2.utils.events INFO: eta: 9:40:52 iter: 28359 total_loss: 2.098 loss_cls: 0.01196 loss_box_reg: 0.01922 loss_rpn_cls: 0.1389 loss_rpn_loc: 0.001489 loss_D_img_s: 0.7226 loss_cls_pseudo: 0.001432 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5329 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6613 time: 1.6408 last_time: 1.5526 data_time: 0.0076 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 02:03:08] d2.utils.events INFO: eta: 9:40:35 iter: 28379 total_loss: 2.057 loss_cls: 0.01154 loss_box_reg: 0.02108 loss_rpn_cls: 0.1196 loss_rpn_loc: 0.001359 loss_D_img_s: 0.6887 loss_cls_pseudo: 0.001211 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5197 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6848 time: 1.6405 last_time: 1.7073 data_time: 0.0075 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 02:03:41] d2.utils.events INFO: eta: 9:40:37 iter: 28399 total_loss: 1.794 loss_cls: 0.01028 loss_box_reg: 0.02181 loss_rpn_cls: 0.1413 loss_rpn_loc: 0.001374 loss_D_img_s: 0.6991 loss_cls_pseudo: 0.0006284 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2257 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.678 time: 1.6406 last_time: 1.5328 data_time: 0.0084 last_data_time: 0.0187 lr: 0.02 max_mem: 14768M +[04/11 02:04:13] d2.utils.events INFO: eta: 9:39:28 iter: 28419 total_loss: 1.733 loss_cls: 0.011 loss_box_reg: 0.02404 loss_rpn_cls: 0.06094 loss_rpn_loc: 0.001432 loss_D_img_s: 0.679 loss_cls_pseudo: 0.004306 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2123 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7012 time: 1.6401 last_time: 1.5967 data_time: 0.0080 last_data_time: 0.0083 lr: 0.02 max_mem: 14768M +[04/11 02:04:46] d2.utils.events INFO: eta: 9:39:01 iter: 28439 total_loss: 1.988 loss_cls: 0.01017 loss_box_reg: 0.02684 loss_rpn_cls: 0.06404 loss_rpn_loc: 0.001213 loss_D_img_s: 0.6834 loss_cls_pseudo: 0.001088 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5187 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7003 time: 1.6401 last_time: 1.5342 data_time: 0.0081 last_data_time: 0.0060 lr: 0.02 max_mem: 14768M +[04/11 02:05:18] d2.utils.events INFO: eta: 9:38:29 iter: 28459 total_loss: 1.996 loss_cls: 0.01089 loss_box_reg: 0.02318 loss_rpn_cls: 0.06025 loss_rpn_loc: 0.001205 loss_D_img_s: 0.6828 loss_cls_pseudo: 0.001115 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5075 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6938 time: 1.6401 last_time: 1.7431 data_time: 0.0078 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 02:05:50] d2.utils.events INFO: eta: 9:37:52 iter: 28479 total_loss: 1.796 loss_cls: 0.007723 loss_box_reg: 0.02159 loss_rpn_cls: 0.06085 loss_rpn_loc: 0.001361 loss_D_img_s: 0.6793 loss_cls_pseudo: 0.001279 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2507 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.692 time: 1.6398 last_time: 1.4887 data_time: 0.0086 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 02:06:22] d2.utils.events INFO: eta: 9:37:20 iter: 28499 total_loss: 1.897 loss_cls: 0.01172 loss_box_reg: 0.02336 loss_rpn_cls: 0.05365 loss_rpn_loc: 0.001256 loss_D_img_s: 0.7205 loss_cls_pseudo: 0.0007898 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3768 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6693 time: 1.6396 last_time: 1.5553 data_time: 0.0079 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 02:06:55] d2.utils.events INFO: eta: 9:37:03 iter: 28519 total_loss: 1.677 loss_cls: 0.007475 loss_box_reg: 0.02229 loss_rpn_cls: 0.06046 loss_rpn_loc: 0.001455 loss_D_img_s: 0.6792 loss_cls_pseudo: 0.001181 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2032 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7068 time: 1.6395 last_time: 1.6583 data_time: 0.0080 last_data_time: 0.0100 lr: 0.02 max_mem: 14768M +[04/11 02:07:26] d2.utils.events INFO: eta: 9:36:15 iter: 28539 total_loss: 2.126 loss_cls: 0.009872 loss_box_reg: 0.02126 loss_rpn_cls: 0.08986 loss_rpn_loc: 0.001217 loss_D_img_s: 0.6696 loss_cls_pseudo: 0.001766 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5909 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7107 time: 1.6392 last_time: 1.5728 data_time: 0.0085 last_data_time: 0.0083 lr: 0.02 max_mem: 14768M +[04/11 02:07:59] d2.utils.events INFO: eta: 9:36:11 iter: 28559 total_loss: 1.795 loss_cls: 0.008019 loss_box_reg: 0.02123 loss_rpn_cls: 0.1406 loss_rpn_loc: 0.001319 loss_D_img_s: 0.7051 loss_cls_pseudo: 0.001763 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2494 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6638 time: 1.6390 last_time: 1.4334 data_time: 0.0086 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 02:08:30] d2.utils.events INFO: eta: 9:35:16 iter: 28579 total_loss: 2.059 loss_cls: 0.01017 loss_box_reg: 0.02232 loss_rpn_cls: 0.05566 loss_rpn_loc: 0.001126 loss_D_img_s: 0.7111 loss_cls_pseudo: 0.001468 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.6131 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6761 time: 1.6388 last_time: 1.6051 data_time: 0.0080 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 02:09:02] d2.utils.events INFO: eta: 9:35:07 iter: 28599 total_loss: 2.011 loss_cls: 0.006567 loss_box_reg: 0.01974 loss_rpn_cls: 0.1165 loss_rpn_loc: 0.0013 loss_D_img_s: 0.7294 loss_cls_pseudo: 0.0007966 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5018 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6632 time: 1.6386 last_time: 1.4983 data_time: 0.0079 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 02:09:35] d2.utils.events INFO: eta: 9:35:13 iter: 28619 total_loss: 1.741 loss_cls: 0.007021 loss_box_reg: 0.01806 loss_rpn_cls: 0.0734 loss_rpn_loc: 0.001181 loss_D_img_s: 0.6591 loss_cls_pseudo: 0.001346 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.23 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7355 time: 1.6386 last_time: 1.5650 data_time: 0.0080 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 02:10:08] d2.utils.events INFO: eta: 9:34:40 iter: 28639 total_loss: 2.021 loss_cls: 0.008812 loss_box_reg: 0.02194 loss_rpn_cls: 0.09698 loss_rpn_loc: 0.00139 loss_D_img_s: 0.6391 loss_cls_pseudo: 0.002054 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5152 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7369 time: 1.6385 last_time: 1.5944 data_time: 0.0079 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 02:10:40] d2.utils.events INFO: eta: 9:33:40 iter: 28659 total_loss: 2.015 loss_cls: 0.006699 loss_box_reg: 0.01894 loss_rpn_cls: 0.1284 loss_rpn_loc: 0.00126 loss_D_img_s: 0.713 loss_cls_pseudo: 0.0008226 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5075 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.655 time: 1.6382 last_time: 1.6768 data_time: 0.0078 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 02:11:12] d2.utils.events INFO: eta: 9:32:23 iter: 28679 total_loss: 1.811 loss_cls: 0.009859 loss_box_reg: 0.02226 loss_rpn_cls: 0.05897 loss_rpn_loc: 0.001465 loss_D_img_s: 0.6699 loss_cls_pseudo: 0.002014 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2553 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7031 time: 1.6381 last_time: 1.7318 data_time: 0.0076 last_data_time: 0.0089 lr: 0.02 max_mem: 14768M +[04/11 02:11:44] d2.utils.events INFO: eta: 9:30:50 iter: 28699 total_loss: 2.077 loss_cls: 0.009209 loss_box_reg: 0.01997 loss_rpn_cls: 0.1009 loss_rpn_loc: 0.001274 loss_D_img_s: 0.7044 loss_cls_pseudo: 0.001096 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5147 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6644 time: 1.6379 last_time: 1.6378 data_time: 0.0083 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 02:12:16] d2.utils.events INFO: eta: 9:30:37 iter: 28719 total_loss: 1.71 loss_cls: 0.008064 loss_box_reg: 0.02335 loss_rpn_cls: 0.07942 loss_rpn_loc: 0.001264 loss_D_img_s: 0.6655 loss_cls_pseudo: 0.00323 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1951 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7161 time: 1.6378 last_time: 1.6903 data_time: 0.0078 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 02:12:49] d2.utils.events INFO: eta: 9:29:40 iter: 28739 total_loss: 1.673 loss_cls: 0.00882 loss_box_reg: 0.01958 loss_rpn_cls: 0.06361 loss_rpn_loc: 0.001127 loss_D_img_s: 0.6569 loss_cls_pseudo: 0.001703 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1611 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6912 time: 1.6377 last_time: 1.7423 data_time: 0.0084 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 02:13:20] d2.utils.events INFO: eta: 9:29:08 iter: 28759 total_loss: 2.016 loss_cls: 0.008741 loss_box_reg: 0.01906 loss_rpn_cls: 0.09093 loss_rpn_loc: 0.001227 loss_D_img_s: 0.7353 loss_cls_pseudo: 0.0007885 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5184 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6336 time: 1.6374 last_time: 1.5047 data_time: 0.0080 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 02:13:52] d2.utils.events INFO: eta: 9:28:36 iter: 28779 total_loss: 1.948 loss_cls: 0.00753 loss_box_reg: 0.01886 loss_rpn_cls: 0.1192 loss_rpn_loc: 0.001181 loss_D_img_s: 0.6966 loss_cls_pseudo: 0.002806 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5018 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6869 time: 1.6372 last_time: 1.5849 data_time: 0.0076 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 02:14:24] d2.utils.events INFO: eta: 9:28:01 iter: 28799 total_loss: 1.98 loss_cls: 0.009176 loss_box_reg: 0.0203 loss_rpn_cls: 0.08776 loss_rpn_loc: 0.001332 loss_D_img_s: 0.6538 loss_cls_pseudo: 0.001105 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5144 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.702 time: 1.6370 last_time: 1.6728 data_time: 0.0076 last_data_time: 0.0104 lr: 0.02 max_mem: 14768M +[04/11 02:14:57] d2.utils.events INFO: eta: 9:27:26 iter: 28819 total_loss: 2.128 loss_cls: 0.00806 loss_box_reg: 0.02115 loss_rpn_cls: 0.1257 loss_rpn_loc: 0.001375 loss_D_img_s: 0.7158 loss_cls_pseudo: 0.0006078 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5133 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6717 time: 1.6369 last_time: 1.8405 data_time: 0.0089 last_data_time: 0.0121 lr: 0.02 max_mem: 14768M +[04/11 02:15:29] d2.utils.events INFO: eta: 9:26:54 iter: 28839 total_loss: 1.766 loss_cls: 0.01146 loss_box_reg: 0.02165 loss_rpn_cls: 0.08327 loss_rpn_loc: 0.00145 loss_D_img_s: 0.6667 loss_cls_pseudo: 0.002759 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.233 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7053 time: 1.6368 last_time: 1.6288 data_time: 0.0075 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 02:16:01] d2.utils.events INFO: eta: 9:26:15 iter: 28859 total_loss: 1.657 loss_cls: 0.008152 loss_box_reg: 0.01642 loss_rpn_cls: 0.07534 loss_rpn_loc: 0.001345 loss_D_img_s: 0.721 loss_cls_pseudo: 0.00252 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1819 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6357 time: 1.6367 last_time: 1.6238 data_time: 0.0078 last_data_time: 0.0125 lr: 0.02 max_mem: 14768M +[04/11 02:16:33] d2.utils.events INFO: eta: 9:25:04 iter: 28879 total_loss: 1.937 loss_cls: 0.01034 loss_box_reg: 0.01867 loss_rpn_cls: 0.08008 loss_rpn_loc: 0.001054 loss_D_img_s: 0.6978 loss_cls_pseudo: 0.0006013 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3807 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6831 time: 1.6365 last_time: 1.5633 data_time: 0.0083 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 02:17:05] d2.utils.events INFO: eta: 9:24:26 iter: 28899 total_loss: 1.715 loss_cls: 0.009157 loss_box_reg: 0.0193 loss_rpn_cls: 0.08954 loss_rpn_loc: 0.001166 loss_D_img_s: 0.6483 loss_cls_pseudo: 0.00235 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1835 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.737 time: 1.6362 last_time: 1.4983 data_time: 0.0078 last_data_time: 0.0088 lr: 0.02 max_mem: 14768M +[04/11 02:17:38] d2.utils.events INFO: eta: 9:23:20 iter: 28919 total_loss: 1.907 loss_cls: 0.007458 loss_box_reg: 0.01553 loss_rpn_cls: 0.1292 loss_rpn_loc: 0.001301 loss_D_img_s: 0.7244 loss_cls_pseudo: 0.001225 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3507 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6391 time: 1.6362 last_time: 1.6407 data_time: 0.0079 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 02:18:10] d2.utils.events INFO: eta: 9:22:36 iter: 28939 total_loss: 2.078 loss_cls: 0.009463 loss_box_reg: 0.02129 loss_rpn_cls: 0.1315 loss_rpn_loc: 0.001238 loss_D_img_s: 0.6428 loss_cls_pseudo: 0.0009321 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5253 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7243 time: 1.6361 last_time: 1.5852 data_time: 0.0084 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 02:18:42] d2.utils.events INFO: eta: 9:21:42 iter: 28959 total_loss: 2.051 loss_cls: 0.008963 loss_box_reg: 0.01742 loss_rpn_cls: 0.1161 loss_rpn_loc: 0.001228 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.001992 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4868 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6841 time: 1.6359 last_time: 1.4772 data_time: 0.0078 last_data_time: 0.0107 lr: 0.02 max_mem: 14768M +[04/11 02:19:14] d2.utils.events INFO: eta: 9:21:06 iter: 28979 total_loss: 1.733 loss_cls: 0.006579 loss_box_reg: 0.01903 loss_rpn_cls: 0.07674 loss_rpn_loc: 0.001249 loss_D_img_s: 0.607 loss_cls_pseudo: 0.001555 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2182 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7852 time: 1.6358 last_time: 1.5811 data_time: 0.0080 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 02:19:46] d2.data.common INFO: Serializing the dataset using: +[04/11 02:19:46] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 02:19:46] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 02:19:46] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 02:19:46] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 02:19:48] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0287 s/iter. Inference: 0.0564 s/iter. Eval: 0.0001 s/iter. Total: 0.0852 s/iter. ETA=0:00:34 +[04/11 02:19:53] d2.evaluation.evaluator INFO: Inference done 80/410. Dataloading: 0.0173 s/iter. Inference: 0.0566 s/iter. Eval: 0.0002 s/iter. Total: 0.0741 s/iter. ETA=0:00:24 +[04/11 02:19:58] d2.evaluation.evaluator INFO: Inference done 150/410. Dataloading: 0.0151 s/iter. Inference: 0.0578 s/iter. Eval: 0.0002 s/iter. Total: 0.0731 s/iter. ETA=0:00:19 +[04/11 02:20:03] d2.evaluation.evaluator INFO: Inference done 228/410. Dataloading: 0.0127 s/iter. Inference: 0.0571 s/iter. Eval: 0.0002 s/iter. Total: 0.0701 s/iter. ETA=0:00:12 +[04/11 02:20:08] d2.evaluation.evaluator INFO: Inference done 303/410. Dataloading: 0.0123 s/iter. Inference: 0.0567 s/iter. Eval: 0.0002 s/iter. Total: 0.0693 s/iter. ETA=0:00:07 +[04/11 02:20:13] d2.evaluation.evaluator INFO: Inference done 381/410. Dataloading: 0.0116 s/iter. Inference: 0.0563 s/iter. Eval: 0.0002 s/iter. Total: 0.0682 s/iter. ETA=0:00:01 +[04/11 02:20:15] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.557154 (0.068042 s / iter per device, on 1 devices) +[04/11 02:20:15] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.056071 s / iter per device, on 1 devices) +[04/11 02:20:15] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 02:20:15] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 02:20:15] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 02:20:15] d2.evaluation.testing INFO: copypaste: 6.5802,17.6563,2.7643 +[04/11 02:20:15] d2.data.common INFO: Serializing the dataset using: +[04/11 02:20:15] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 02:20:15] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 02:20:15] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 02:20:15] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 02:20:18] d2.evaluation.evaluator INFO: Inference done 36/410. Dataloading: 0.0126 s/iter. Inference: 0.0588 s/iter. Eval: 0.0002 s/iter. Total: 0.0717 s/iter. ETA=0:00:26 +[04/11 02:20:23] d2.evaluation.evaluator INFO: Inference done 106/410. Dataloading: 0.0115 s/iter. Inference: 0.0604 s/iter. Eval: 0.0002 s/iter. Total: 0.0722 s/iter. ETA=0:00:21 +[04/11 02:20:28] d2.evaluation.evaluator INFO: Inference done 184/410. Dataloading: 0.0098 s/iter. Inference: 0.0587 s/iter. Eval: 0.0002 s/iter. Total: 0.0688 s/iter. ETA=0:00:15 +[04/11 02:20:33] d2.evaluation.evaluator INFO: Inference done 262/410. Dataloading: 0.0096 s/iter. Inference: 0.0576 s/iter. Eval: 0.0002 s/iter. Total: 0.0675 s/iter. ETA=0:00:09 +[04/11 02:20:38] d2.evaluation.evaluator INFO: Inference done 332/410. Dataloading: 0.0107 s/iter. Inference: 0.0573 s/iter. Eval: 0.0003 s/iter. Total: 0.0684 s/iter. ETA=0:00:05 +[04/11 02:20:43] d2.evaluation.evaluator INFO: Inference done 410/410. Dataloading: 0.0101 s/iter. Inference: 0.0571 s/iter. Eval: 0.0003 s/iter. Total: 0.0676 s/iter. ETA=0:00:00 +[04/11 02:20:43] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.444753 (0.067765 s / iter per device, on 1 devices) +[04/11 02:20:43] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057061 s / iter per device, on 1 devices) +[04/11 02:20:43] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 02:20:43] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 02:20:43] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 02:20:43] d2.evaluation.testing INFO: copypaste: 11.0838,30.6683,3.2199 +[04/11 02:20:43] d2.utils.events INFO: eta: 9:20:38 iter: 28999 total_loss: 1.776 loss_cls: 0.006536 loss_box_reg: 0.01554 loss_rpn_cls: 0.07246 loss_rpn_loc: 0.001312 loss_D_img_s: 0.6577 loss_cls_pseudo: 0.002187 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2329 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7372 time: 1.6356 last_time: 1.5699 data_time: 0.0078 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 02:21:15] d2.utils.events INFO: eta: 9:19:59 iter: 29019 total_loss: 1.738 loss_cls: 0.008625 loss_box_reg: 0.0191 loss_rpn_cls: 0.05944 loss_rpn_loc: 0.001373 loss_D_img_s: 0.6433 loss_cls_pseudo: 0.001914 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2247 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7409 time: 1.6353 last_time: 1.4582 data_time: 0.0081 last_data_time: 0.0096 lr: 0.02 max_mem: 14768M +[04/11 02:21:47] d2.utils.events INFO: eta: 9:19:34 iter: 29039 total_loss: 2.036 loss_cls: 0.009363 loss_box_reg: 0.02093 loss_rpn_cls: 0.08834 loss_rpn_loc: 0.001294 loss_D_img_s: 0.6622 loss_cls_pseudo: 0.0007418 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5431 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7055 time: 1.6352 last_time: 1.7529 data_time: 0.0087 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 02:22:19] d2.utils.events INFO: eta: 9:18:58 iter: 29059 total_loss: 1.844 loss_cls: 0.0077 loss_box_reg: 0.02432 loss_rpn_cls: 0.1046 loss_rpn_loc: 0.001377 loss_D_img_s: 0.7474 loss_cls_pseudo: 0.001895 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2718 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6281 time: 1.6351 last_time: 1.7481 data_time: 0.0080 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 02:22:51] d2.utils.events INFO: eta: 9:18:11 iter: 29079 total_loss: 1.927 loss_cls: 0.00668 loss_box_reg: 0.01817 loss_rpn_cls: 0.07239 loss_rpn_loc: 0.001147 loss_D_img_s: 0.7208 loss_cls_pseudo: 0.003236 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3831 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6673 time: 1.6348 last_time: 1.6003 data_time: 0.0090 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 02:23:23] d2.utils.events INFO: eta: 9:17:25 iter: 29099 total_loss: 2.03 loss_cls: 0.007474 loss_box_reg: 0.01907 loss_rpn_cls: 0.07468 loss_rpn_loc: 0.001319 loss_D_img_s: 0.6768 loss_cls_pseudo: 0.002715 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5099 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7176 time: 1.6347 last_time: 1.5192 data_time: 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loss_cls: 0.007559 loss_box_reg: 0.02144 loss_rpn_cls: 0.06536 loss_rpn_loc: 0.00121 loss_D_img_s: 0.6878 loss_cls_pseudo: 0.003962 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2677 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7112 time: 1.6333 last_time: 1.7470 data_time: 0.0078 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 02:28:11] d2.utils.events INFO: eta: 9:11:20 iter: 29279 total_loss: 1.956 loss_cls: 0.01318 loss_box_reg: 0.02196 loss_rpn_cls: 0.1859 loss_rpn_loc: 0.0017 loss_D_img_s: 0.6815 loss_cls_pseudo: 0.00213 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2648 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7064 time: 1.6331 last_time: 1.7728 data_time: 0.0080 last_data_time: 0.0083 lr: 0.02 max_mem: 14768M +[04/11 02:28:43] d2.utils.events INFO: eta: 9:10:19 iter: 29299 total_loss: 1.787 loss_cls: 0.008519 loss_box_reg: 0.02254 loss_rpn_cls: 0.09673 loss_rpn_loc: 0.001418 loss_D_img_s: 0.6599 loss_cls_pseudo: 0.001827 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2044 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loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6918 time: 1.6314 last_time: 1.5796 data_time: 0.0076 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 02:41:06] d2.utils.events INFO: eta: 8:59:19 iter: 29759 total_loss: 2.073 loss_cls: 0.007742 loss_box_reg: 0.01883 loss_rpn_cls: 0.0859 loss_rpn_loc: 0.001378 loss_D_img_s: 0.6976 loss_cls_pseudo: 0.002367 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5321 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6868 time: 1.6312 last_time: 1.7578 data_time: 0.0081 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 02:41:39] d2.utils.events INFO: eta: 8:59:00 iter: 29779 total_loss: 1.893 loss_cls: 0.007351 loss_box_reg: 0.01758 loss_rpn_cls: 0.07152 loss_rpn_loc: 0.001236 loss_D_img_s: 0.6706 loss_cls_pseudo: 0.001463 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3674 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7046 time: 1.6312 last_time: 1.4697 data_time: 0.0075 last_data_time: 0.0058 lr: 0.02 max_mem: 14768M +[04/11 02:42:11] d2.utils.events INFO: eta: 8:58:20 iter: 29799 total_loss: 1.774 loss_cls: 0.008698 loss_box_reg: 0.02073 loss_rpn_cls: 0.06602 loss_rpn_loc: 0.001341 loss_D_img_s: 0.7356 loss_cls_pseudo: 0.0005525 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2286 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6442 time: 1.6312 last_time: 1.4715 data_time: 0.0080 last_data_time: 0.0106 lr: 0.02 max_mem: 14768M +[04/11 02:42:43] d2.utils.events INFO: eta: 8:57:30 iter: 29819 total_loss: 1.847 loss_cls: 0.007352 loss_box_reg: 0.01876 loss_rpn_cls: 0.05045 loss_rpn_loc: 0.001469 loss_D_img_s: 0.7079 loss_cls_pseudo: 0.002056 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3911 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6889 time: 1.6310 last_time: 1.4972 data_time: 0.0077 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 02:43:15] d2.utils.events INFO: eta: 8:57:04 iter: 29839 total_loss: 1.815 loss_cls: 0.007968 loss_box_reg: 0.01882 loss_rpn_cls: 0.127 loss_rpn_loc: 0.001412 loss_D_img_s: 0.6812 loss_cls_pseudo: 0.001618 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2346 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 1.6309 last_time: 1.7475 data_time: 0.0080 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 02:43:47] d2.utils.events INFO: eta: 8:56:21 iter: 29859 total_loss: 2.018 loss_cls: 0.008013 loss_box_reg: 0.01684 loss_rpn_cls: 0.05984 loss_rpn_loc: 0.001259 loss_D_img_s: 0.6726 loss_cls_pseudo: 0.001413 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5264 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7134 time: 1.6308 last_time: 1.6100 data_time: 0.0086 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 02:44:19] d2.utils.events INFO: eta: 8:55:38 iter: 29879 total_loss: 1.762 loss_cls: 0.007957 loss_box_reg: 0.02186 loss_rpn_cls: 0.05402 loss_rpn_loc: 0.001165 loss_D_img_s: 0.6815 loss_cls_pseudo: 0.001691 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2408 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7145 time: 1.6307 last_time: 1.5046 data_time: 0.0075 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 02:44:51] d2.utils.events INFO: eta: 8:55:07 iter: 29899 total_loss: 1.699 loss_cls: 0.004559 loss_box_reg: 0.01596 loss_rpn_cls: 0.03636 loss_rpn_loc: 0.001086 loss_D_img_s: 0.6632 loss_cls_pseudo: 0.0007878 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2131 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7237 time: 1.6305 last_time: 1.4738 data_time: 0.0081 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 02:45:23] d2.utils.events INFO: eta: 8:54:22 iter: 29919 total_loss: 1.752 loss_cls: 0.008666 loss_box_reg: 0.02005 loss_rpn_cls: 0.05013 loss_rpn_loc: 0.00144 loss_D_img_s: 0.683 loss_cls_pseudo: 0.0008971 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2091 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6982 time: 1.6304 last_time: 1.5941 data_time: 0.0081 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 02:45:55] d2.utils.events INFO: eta: 8:54:09 iter: 29939 total_loss: 1.878 loss_cls: 0.008753 loss_box_reg: 0.01797 loss_rpn_cls: 0.09161 loss_rpn_loc: 0.001274 loss_D_img_s: 0.6903 loss_cls_pseudo: 0.002013 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3471 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6962 time: 1.6303 last_time: 1.7148 data_time: 0.0087 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 02:46:27] d2.utils.events INFO: eta: 8:53:37 iter: 29959 total_loss: 2.012 loss_cls: 0.007834 loss_box_reg: 0.01736 loss_rpn_cls: 0.07628 loss_rpn_loc: 0.001275 loss_D_img_s: 0.6844 loss_cls_pseudo: 0.001913 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5245 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6952 time: 1.6302 last_time: 1.5817 data_time: 0.0081 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 02:47:00] d2.utils.events INFO: eta: 8:53:18 iter: 29979 total_loss: 1.982 loss_cls: 0.00566 loss_box_reg: 0.01768 loss_rpn_cls: 0.06713 loss_rpn_loc: 0.001111 loss_D_img_s: 0.6757 loss_cls_pseudo: 0.00103 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5074 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.703 time: 1.6302 last_time: 1.6083 data_time: 0.0080 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 02:47:32] fvcore.common.checkpoint INFO: Saving checkpoint to /DATA/Rajes/Research/output_cat/bmp_rti/model_0029999.pth +[04/11 02:47:33] d2.data.common INFO: Serializing the dataset using: +[04/11 02:47:33] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 02:47:33] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 02:47:33] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 02:47:33] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 02:47:34] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0070 s/iter. Inference: 0.0653 s/iter. Eval: 0.0001 s/iter. Total: 0.0724 s/iter. ETA=0:00:28 +[04/11 02:47:39] d2.evaluation.evaluator INFO: Inference done 84/410. Dataloading: 0.0113 s/iter. Inference: 0.0575 s/iter. Eval: 0.0002 s/iter. Total: 0.0690 s/iter. ETA=0:00:22 +[04/11 02:47:44] d2.evaluation.evaluator INFO: Inference done 160/410. Dataloading: 0.0128 s/iter. Inference: 0.0545 s/iter. Eval: 0.0002 s/iter. Total: 0.0675 s/iter. ETA=0:00:16 +[04/11 02:47:49] d2.evaluation.evaluator INFO: Inference done 237/410. Dataloading: 0.0119 s/iter. Inference: 0.0547 s/iter. Eval: 0.0002 s/iter. Total: 0.0668 s/iter. ETA=0:00:11 +[04/11 02:47:54] d2.evaluation.evaluator INFO: Inference done 314/410. Dataloading: 0.0125 s/iter. Inference: 0.0536 s/iter. Eval: 0.0002 s/iter. Total: 0.0664 s/iter. ETA=0:00:06 +[04/11 02:47:59] d2.evaluation.evaluator INFO: Inference done 393/410. Dataloading: 0.0118 s/iter. Inference: 0.0539 s/iter. Eval: 0.0002 s/iter. Total: 0.0659 s/iter. ETA=0:00:01 +[04/11 02:48:00] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.654903 (0.065815 s / iter per device, on 1 devices) +[04/11 02:48:00] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:21 (0.053784 s / iter per device, on 1 devices) +[04/11 02:48:00] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 02:48:00] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 02:48:00] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 02:48:00] d2.evaluation.testing INFO: copypaste: 4.2261,18.3966,0.7621 +[04/11 02:48:00] d2.data.common INFO: Serializing the dataset using: +[04/11 02:48:00] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 02:48:00] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 02:48:00] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 02:48:00] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 02:48:04] d2.evaluation.evaluator INFO: Inference done 50/410. Dataloading: 0.0130 s/iter. Inference: 0.0538 s/iter. Eval: 0.0002 s/iter. Total: 0.0671 s/iter. ETA=0:00:24 +[04/11 02:48:09] d2.evaluation.evaluator INFO: Inference done 129/410. Dataloading: 0.0102 s/iter. Inference: 0.0543 s/iter. Eval: 0.0002 s/iter. Total: 0.0648 s/iter. ETA=0:00:18 +[04/11 02:48:14] d2.evaluation.evaluator INFO: Inference done 206/410. Dataloading: 0.0102 s/iter. Inference: 0.0546 s/iter. Eval: 0.0002 s/iter. Total: 0.0651 s/iter. ETA=0:00:13 +[04/11 02:48:19] d2.evaluation.evaluator INFO: Inference done 287/410. Dataloading: 0.0091 s/iter. Inference: 0.0549 s/iter. Eval: 0.0002 s/iter. Total: 0.0643 s/iter. ETA=0:00:07 +[04/11 02:48:24] d2.evaluation.evaluator INFO: Inference done 357/410. Dataloading: 0.0103 s/iter. Inference: 0.0552 s/iter. Eval: 0.0002 s/iter. Total: 0.0658 s/iter. ETA=0:00:03 +[04/11 02:48:28] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.774389 (0.066110 s / iter per device, on 1 devices) +[04/11 02:48:28] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.055169 s / iter per device, on 1 devices) +[04/11 02:48:28] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 02:48:28] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 02:48:28] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 02:48:28] d2.evaluation.testing INFO: copypaste: 13.1408,30.2022,6.8646 +[04/11 02:48:28] d2.utils.events INFO: eta: 8:52:38 iter: 29999 total_loss: 1.97 loss_cls: 0.005908 loss_box_reg: 0.01826 loss_rpn_cls: 0.05343 loss_rpn_loc: 0.001125 loss_D_img_s: 0.6955 loss_cls_pseudo: 0.0004819 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5109 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6607 time: 1.6300 last_time: 1.7406 data_time: 0.0088 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 02:49:00] d2.utils.events INFO: eta: 8:52:14 iter: 30019 total_loss: 2.073 loss_cls: 0.007863 loss_box_reg: 0.0187 loss_rpn_cls: 0.1294 loss_rpn_loc: 0.001386 loss_D_img_s: 0.7865 loss_cls_pseudo: 0.0009273 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5091 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.5979 time: 1.6298 last_time: 1.5673 data_time: 0.0077 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 02:49:32] d2.utils.events INFO: eta: 8:51:23 iter: 30039 total_loss: 1.943 loss_cls: 0.009135 loss_box_reg: 0.01764 loss_rpn_cls: 0.07478 loss_rpn_loc: 0.001309 loss_D_img_s: 0.6946 loss_cls_pseudo: 0.0009388 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4879 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.691 time: 1.6297 last_time: 1.6552 data_time: 0.0076 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 02:50:04] d2.utils.events INFO: eta: 8:51:23 iter: 30059 total_loss: 2.01 loss_cls: 0.008221 loss_box_reg: 0.02261 loss_rpn_cls: 0.09261 loss_rpn_loc: 0.001228 loss_D_img_s: 0.7117 loss_cls_pseudo: 0.003222 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5025 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.692 time: 1.6296 last_time: 1.5200 data_time: 0.0082 last_data_time: 0.0112 lr: 0.02 max_mem: 14768M +[04/11 02:50:37] d2.utils.events INFO: eta: 8:50:56 iter: 30079 total_loss: 2.033 loss_cls: 0.01158 loss_box_reg: 0.01435 loss_rpn_cls: 0.1143 loss_rpn_loc: 0.001227 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.001961 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4968 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6886 time: 1.6297 last_time: 1.5388 data_time: 0.0079 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 02:51:08] d2.utils.events INFO: eta: 8:50:19 iter: 30099 total_loss: 2.075 loss_cls: 0.006573 loss_box_reg: 0.01709 loss_rpn_cls: 0.1432 loss_rpn_loc: 0.001166 loss_D_img_s: 0.6878 loss_cls_pseudo: 0.001475 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5073 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6997 time: 1.6294 last_time: 1.4828 data_time: 0.0079 last_data_time: 0.0101 lr: 0.02 max_mem: 14768M +[04/11 02:51:41] d2.utils.events INFO: eta: 8:49:57 iter: 30119 total_loss: 1.68 loss_cls: 0.006943 loss_box_reg: 0.01868 loss_rpn_cls: 0.06721 loss_rpn_loc: 0.0009848 loss_D_img_s: 0.6616 loss_cls_pseudo: 0.001358 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1548 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7243 time: 1.6295 last_time: 1.7389 data_time: 0.0080 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 02:52:13] d2.utils.events INFO: eta: 8:49:13 iter: 30139 total_loss: 1.695 loss_cls: 0.008104 loss_box_reg: 0.01848 loss_rpn_cls: 0.04429 loss_rpn_loc: 0.001149 loss_D_img_s: 0.69 loss_cls_pseudo: 0.0008782 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2267 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6777 time: 1.6294 last_time: 1.5946 data_time: 0.0080 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 02:52:46] d2.utils.events INFO: eta: 8:48:53 iter: 30159 total_loss: 1.871 loss_cls: 0.005989 loss_box_reg: 0.01998 loss_rpn_cls: 0.06355 loss_rpn_loc: 0.001168 loss_D_img_s: 0.7162 loss_cls_pseudo: 0.001956 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3624 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6723 time: 1.6294 last_time: 1.5857 data_time: 0.0084 last_data_time: 0.0109 lr: 0.02 max_mem: 14768M +[04/11 02:53:18] d2.utils.events INFO: eta: 8:48:29 iter: 30179 total_loss: 2.022 loss_cls: 0.009189 loss_box_reg: 0.01418 loss_rpn_cls: 0.09501 loss_rpn_loc: 0.001211 loss_D_img_s: 0.7088 loss_cls_pseudo: 0.001092 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5232 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6825 time: 1.6293 last_time: 1.5368 data_time: 0.0071 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 02:53:51] d2.utils.events INFO: eta: 8:48:08 iter: 30199 total_loss: 1.948 loss_cls: 0.00949 loss_box_reg: 0.02304 loss_rpn_cls: 0.08214 loss_rpn_loc: 0.0013 loss_D_img_s: 0.7103 loss_cls_pseudo: 0.00121 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3755 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.696 time: 1.6294 last_time: 1.6028 data_time: 0.0079 last_data_time: 0.0060 lr: 0.02 max_mem: 14768M +[04/11 02:54:23] d2.utils.events INFO: eta: 8:47:40 iter: 30219 total_loss: 1.708 loss_cls: 0.009313 loss_box_reg: 0.01955 loss_rpn_cls: 0.0469 loss_rpn_loc: 0.001197 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.001054 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2032 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6943 time: 1.6292 last_time: 1.4566 data_time: 0.0077 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 02:54:56] d2.utils.events INFO: eta: 8:47:19 iter: 30239 total_loss: 1.74 loss_cls: 0.008448 loss_box_reg: 0.01762 loss_rpn_cls: 0.05758 loss_rpn_loc: 0.001116 loss_D_img_s: 0.6952 loss_cls_pseudo: 0.001413 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2102 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6857 time: 1.6293 last_time: 1.7220 data_time: 0.0077 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 02:55:28] d2.utils.events INFO: eta: 8:46:55 iter: 30259 total_loss: 1.973 loss_cls: 0.009354 loss_box_reg: 0.02142 loss_rpn_cls: 0.04486 loss_rpn_loc: 0.001282 loss_D_img_s: 0.6885 loss_cls_pseudo: 0.0005471 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5158 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6916 time: 1.6293 last_time: 1.6765 data_time: 0.0079 last_data_time: 0.0117 lr: 0.02 max_mem: 14768M +[04/11 02:56:00] d2.utils.events INFO: eta: 8:46:12 iter: 30279 total_loss: 2.01 loss_cls: 0.008487 loss_box_reg: 0.02017 loss_rpn_cls: 0.1005 loss_rpn_loc: 0.001307 loss_D_img_s: 0.7266 loss_cls_pseudo: 0.00169 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5078 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6561 time: 1.6292 last_time: 1.6876 data_time: 0.0080 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 02:56:32] d2.utils.events INFO: eta: 8:45:38 iter: 30299 total_loss: 1.812 loss_cls: 0.01148 loss_box_reg: 0.0219 loss_rpn_cls: 0.05544 loss_rpn_loc: 0.001098 loss_D_img_s: 0.7038 loss_cls_pseudo: 0.002644 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2766 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6837 time: 1.6291 last_time: 1.6479 data_time: 0.0078 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 02:57:05] d2.utils.events INFO: eta: 8:45:00 iter: 30319 total_loss: 2.097 loss_cls: 0.01275 loss_box_reg: 0.01942 loss_rpn_cls: 0.07135 loss_rpn_loc: 0.001744 loss_D_img_s: 0.7119 loss_cls_pseudo: 0.003682 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5326 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.677 time: 1.6290 last_time: 1.6193 data_time: 0.0080 last_data_time: 0.0090 lr: 0.02 max_mem: 14768M +[04/11 02:57:36] d2.utils.events INFO: eta: 8:44:13 iter: 30339 total_loss: 1.91 loss_cls: 0.006865 loss_box_reg: 0.01661 loss_rpn_cls: 0.1716 loss_rpn_loc: 0.001419 loss_D_img_s: 0.7007 loss_cls_pseudo: 0.003504 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2333 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6846 time: 1.6289 last_time: 1.5939 data_time: 0.0077 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 02:58:08] d2.utils.events INFO: eta: 8:43:25 iter: 30359 total_loss: 2.032 loss_cls: 0.01139 loss_box_reg: 0.02019 loss_rpn_cls: 0.09498 loss_rpn_loc: 0.001106 loss_D_img_s: 0.6517 loss_cls_pseudo: 0.001048 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5147 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7331 time: 1.6288 last_time: 1.5789 data_time: 0.0086 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 02:58:41] d2.utils.events INFO: eta: 8:42:58 iter: 30379 total_loss: 1.811 loss_cls: 0.005513 loss_box_reg: 0.01751 loss_rpn_cls: 0.1134 loss_rpn_loc: 0.001293 loss_D_img_s: 0.6747 loss_cls_pseudo: 0.0008597 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2243 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7098 time: 1.6288 last_time: 1.5548 data_time: 0.0080 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 02:59:14] d2.utils.events INFO: eta: 8:42:37 iter: 30399 total_loss: 1.761 loss_cls: 0.004094 loss_box_reg: 0.01441 loss_rpn_cls: 0.1204 loss_rpn_loc: 0.001037 loss_D_img_s: 0.6856 loss_cls_pseudo: 0.0006595 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2062 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6988 time: 1.6288 last_time: 1.5323 data_time: 0.0075 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 02:59:47] d2.utils.events INFO: eta: 8:42:16 iter: 30419 total_loss: 1.861 loss_cls: 0.009379 loss_box_reg: 0.01972 loss_rpn_cls: 0.07005 loss_rpn_loc: 0.001337 loss_D_img_s: 0.6631 loss_cls_pseudo: 0.004998 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3766 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7131 time: 1.6290 last_time: 1.8990 data_time: 0.0078 last_data_time: 0.0059 lr: 0.02 max_mem: 14768M +[04/11 03:00:19] d2.utils.events INFO: eta: 8:41:33 iter: 30439 total_loss: 2.09 loss_cls: 0.007821 loss_box_reg: 0.01658 loss_rpn_cls: 0.1168 loss_rpn_loc: 0.001183 loss_D_img_s: 0.693 loss_cls_pseudo: 0.0009597 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.523 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6836 time: 1.6289 last_time: 1.6890 data_time: 0.0082 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 03:00:52] d2.utils.events INFO: eta: 8:41:12 iter: 30459 total_loss: 2.023 loss_cls: 0.007842 loss_box_reg: 0.02099 loss_rpn_cls: 0.08384 loss_rpn_loc: 0.001064 loss_D_img_s: 0.656 loss_cls_pseudo: 0.0008853 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5255 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7103 time: 1.6289 last_time: 1.7752 data_time: 0.0087 last_data_time: 0.0089 lr: 0.02 max_mem: 14768M +[04/11 03:01:24] d2.utils.events INFO: eta: 8:40:23 iter: 30479 total_loss: 1.876 loss_cls: 0.008107 loss_box_reg: 0.02244 loss_rpn_cls: 0.05215 loss_rpn_loc: 0.001196 loss_D_img_s: 0.6904 loss_cls_pseudo: 0.002905 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3684 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.681 time: 1.6287 last_time: 1.6172 data_time: 0.0074 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 03:01:56] d2.utils.events INFO: eta: 8:39:48 iter: 30499 total_loss: 2.054 loss_cls: 0.00715 loss_box_reg: 0.01749 loss_rpn_cls: 0.1328 loss_rpn_loc: 0.00132 loss_D_img_s: 0.7397 loss_cls_pseudo: 0.002057 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.51 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6475 time: 1.6286 last_time: 1.6114 data_time: 0.0078 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 03:02:29] d2.utils.events INFO: eta: 8:39:19 iter: 30519 total_loss: 1.774 loss_cls: 0.00732 loss_box_reg: 0.0185 loss_rpn_cls: 0.09038 loss_rpn_loc: 0.001258 loss_D_img_s: 0.6881 loss_cls_pseudo: 0.001897 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2319 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6979 time: 1.6287 last_time: 1.7150 data_time: 0.0087 last_data_time: 0.0138 lr: 0.02 max_mem: 14768M +[04/11 03:03:01] d2.utils.events INFO: eta: 8:38:33 iter: 30539 total_loss: 2.047 loss_cls: 0.009243 loss_box_reg: 0.02064 loss_rpn_cls: 0.05995 loss_rpn_loc: 0.001185 loss_D_img_s: 0.6574 loss_cls_pseudo: 0.001047 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5454 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7401 time: 1.6286 last_time: 1.7133 data_time: 0.0078 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 03:03:33] d2.utils.events INFO: eta: 8:38:01 iter: 30559 total_loss: 2.016 loss_cls: 0.006714 loss_box_reg: 0.01906 loss_rpn_cls: 0.09974 loss_rpn_loc: 0.00116 loss_D_img_s: 0.6677 loss_cls_pseudo: 0.0007679 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5139 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7044 time: 1.6285 last_time: 1.6295 data_time: 0.0076 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 03:04:05] d2.utils.events INFO: eta: 8:37:29 iter: 30579 total_loss: 1.753 loss_cls: 0.009476 loss_box_reg: 0.0169 loss_rpn_cls: 0.09722 loss_rpn_loc: 0.001218 loss_D_img_s: 0.6814 loss_cls_pseudo: 0.0008506 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2039 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 1.6284 last_time: 1.4344 data_time: 0.0082 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 03:04:36] d2.utils.events INFO: eta: 8:36:24 iter: 30599 total_loss: 2.012 loss_cls: 0.006029 loss_box_reg: 0.01585 loss_rpn_cls: 0.05654 loss_rpn_loc: 0.001111 loss_D_img_s: 0.6915 loss_cls_pseudo: 0.0005776 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5162 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6996 time: 1.6282 last_time: 1.5948 data_time: 0.0080 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 03:05:09] d2.utils.events INFO: eta: 8:36:23 iter: 30619 total_loss: 2.048 loss_cls: 0.006545 loss_box_reg: 0.01644 loss_rpn_cls: 0.0966 loss_rpn_loc: 0.001374 loss_D_img_s: 0.7162 loss_cls_pseudo: 0.001457 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5256 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.664 time: 1.6281 last_time: 1.5382 data_time: 0.0076 last_data_time: 0.0107 lr: 0.02 max_mem: 14768M +[04/11 03:05:41] d2.utils.events INFO: eta: 8:35:56 iter: 30639 total_loss: 1.885 loss_cls: 0.008111 loss_box_reg: 0.01819 loss_rpn_cls: 0.06529 loss_rpn_loc: 0.001112 loss_D_img_s: 0.6795 loss_cls_pseudo: 0.001451 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3822 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7037 time: 1.6281 last_time: 1.6523 data_time: 0.0077 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 03:06:14] d2.utils.events INFO: eta: 8:35:34 iter: 30659 total_loss: 1.805 loss_cls: 0.00755 loss_box_reg: 0.01789 loss_rpn_cls: 0.1193 loss_rpn_loc: 0.001152 loss_D_img_s: 0.6925 loss_cls_pseudo: 0.001626 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.237 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6964 time: 1.6281 last_time: 1.5980 data_time: 0.0083 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 03:06:46] d2.utils.events INFO: eta: 8:35:00 iter: 30679 total_loss: 1.756 loss_cls: 0.007989 loss_box_reg: 0.02087 loss_rpn_cls: 0.0745 loss_rpn_loc: 0.001386 loss_D_img_s: 0.6736 loss_cls_pseudo: 0.001876 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2166 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.725 time: 1.6281 last_time: 1.5511 data_time: 0.0079 last_data_time: 0.0058 lr: 0.02 max_mem: 14768M +[04/11 03:07:18] d2.utils.events INFO: eta: 8:34:20 iter: 30699 total_loss: 1.613 loss_cls: 0.01057 loss_box_reg: 0.01825 loss_rpn_cls: 0.04377 loss_rpn_loc: 0.001307 loss_D_img_s: 0.6524 loss_cls_pseudo: 0.001495 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1232 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7363 time: 1.6280 last_time: 1.6203 data_time: 0.0081 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 03:07:51] d2.utils.events INFO: eta: 8:33:44 iter: 30719 total_loss: 2.012 loss_cls: 0.008053 loss_box_reg: 0.02219 loss_rpn_cls: 0.09127 loss_rpn_loc: 0.001172 loss_D_img_s: 0.691 loss_cls_pseudo: 0.001016 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5282 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6853 time: 1.6280 last_time: 1.5688 data_time: 0.0081 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 03:08:22] d2.utils.events INFO: eta: 8:32:55 iter: 30739 total_loss: 1.795 loss_cls: 0.006606 loss_box_reg: 0.01958 loss_rpn_cls: 0.06176 loss_rpn_loc: 0.001022 loss_D_img_s: 0.6821 loss_cls_pseudo: 0.0009336 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2639 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6909 time: 1.6279 last_time: 1.6412 data_time: 0.0071 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 03:08:55] d2.utils.events INFO: eta: 8:32:39 iter: 30759 total_loss: 2.017 loss_cls: 0.008932 loss_box_reg: 0.01954 loss_rpn_cls: 0.06815 loss_rpn_loc: 0.001157 loss_D_img_s: 0.6799 loss_cls_pseudo: 0.001589 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5304 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.704 time: 1.6278 last_time: 1.6935 data_time: 0.0088 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 03:09:27] d2.utils.events INFO: eta: 8:32:07 iter: 30779 total_loss: 1.947 loss_cls: 0.009325 loss_box_reg: 0.02013 loss_rpn_cls: 0.08512 loss_rpn_loc: 0.001255 loss_D_img_s: 0.7235 loss_cls_pseudo: 0.001542 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4988 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6687 time: 1.6277 last_time: 1.7305 data_time: 0.0081 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 03:09:59] d2.utils.events INFO: eta: 8:31:38 iter: 30799 total_loss: 1.693 loss_cls: 0.009756 loss_box_reg: 0.01501 loss_rpn_cls: 0.04525 loss_rpn_loc: 0.001319 loss_D_img_s: 0.6865 loss_cls_pseudo: 0.001324 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2225 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6887 time: 1.6277 last_time: 1.6966 data_time: 0.0077 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 03:10:31] d2.utils.events INFO: eta: 8:30:54 iter: 30819 total_loss: 1.758 loss_cls: 0.007879 loss_box_reg: 0.01798 loss_rpn_cls: 0.07593 loss_rpn_loc: 0.001268 loss_D_img_s: 0.7249 loss_cls_pseudo: 0.001211 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1992 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6563 time: 1.6276 last_time: 1.5444 data_time: 0.0078 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 03:11:03] d2.utils.events INFO: eta: 8:30:11 iter: 30839 total_loss: 1.926 loss_cls: 0.008722 loss_box_reg: 0.02186 loss_rpn_cls: 0.08244 loss_rpn_loc: 0.00121 loss_D_img_s: 0.7199 loss_cls_pseudo: 0.0008504 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3789 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6725 time: 1.6275 last_time: 1.5664 data_time: 0.0085 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 03:11:35] d2.utils.events INFO: eta: 8:29:42 iter: 30859 total_loss: 2.022 loss_cls: 0.008276 loss_box_reg: 0.01598 loss_rpn_cls: 0.06092 loss_rpn_loc: 0.00102 loss_D_img_s: 0.682 loss_cls_pseudo: 0.002669 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5199 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6894 time: 1.6274 last_time: 1.5519 data_time: 0.0076 last_data_time: 0.0060 lr: 0.02 max_mem: 14768M +[04/11 03:12:07] d2.utils.events INFO: eta: 8:29:10 iter: 30879 total_loss: 1.935 loss_cls: 0.005483 loss_box_reg: 0.01679 loss_rpn_cls: 0.05471 loss_rpn_loc: 0.001202 loss_D_img_s: 0.6592 loss_cls_pseudo: 0.0007239 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4996 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6966 time: 1.6273 last_time: 1.7033 data_time: 0.0078 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 03:12:39] d2.utils.events INFO: eta: 8:28:14 iter: 30899 total_loss: 1.813 loss_cls: 0.01122 loss_box_reg: 0.02447 loss_rpn_cls: 0.09004 loss_rpn_loc: 0.001375 loss_D_img_s: 0.7633 loss_cls_pseudo: 0.0007388 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.267 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6229 time: 1.6271 last_time: 1.5049 data_time: 0.0079 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 03:13:11] d2.utils.events INFO: eta: 8:27:48 iter: 30919 total_loss: 1.798 loss_cls: 0.00826 loss_box_reg: 0.02048 loss_rpn_cls: 0.08722 loss_rpn_loc: 0.001224 loss_D_img_s: 0.7144 loss_cls_pseudo: 0.001988 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2584 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6477 time: 1.6271 last_time: 1.5550 data_time: 0.0079 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 03:13:43] d2.utils.events INFO: eta: 8:27:07 iter: 30939 total_loss: 2.005 loss_cls: 0.009321 loss_box_reg: 0.02226 loss_rpn_cls: 0.05978 loss_rpn_loc: 0.001358 loss_D_img_s: 0.6644 loss_cls_pseudo: 0.00137 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5131 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7289 time: 1.6269 last_time: 1.5985 data_time: 0.0083 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 03:14:14] d2.utils.events INFO: eta: 8:26:30 iter: 30959 total_loss: 1.981 loss_cls: 0.008553 loss_box_reg: 0.0208 loss_rpn_cls: 0.06402 loss_rpn_loc: 0.001407 loss_D_img_s: 0.6479 loss_cls_pseudo: 0.0008995 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5089 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7376 time: 1.6268 last_time: 1.5336 data_time: 0.0074 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 03:14:47] d2.utils.events INFO: eta: 8:25:41 iter: 30979 total_loss: 1.718 loss_cls: 0.008824 loss_box_reg: 0.01793 loss_rpn_cls: 0.03137 loss_rpn_loc: 0.001127 loss_D_img_s: 0.6705 loss_cls_pseudo: 0.002528 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2394 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7234 time: 1.6267 last_time: 1.6447 data_time: 0.0079 last_data_time: 0.0061 lr: 0.02 max_mem: 14768M +[04/11 03:15:19] d2.data.common INFO: Serializing the dataset using: +[04/11 03:15:19] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 03:15:19] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 03:15:19] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 03:15:19] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 03:15:20] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0055 s/iter. Inference: 0.0558 s/iter. Eval: 0.0001 s/iter. Total: 0.0614 s/iter. ETA=0:00:24 +[04/11 03:15:25] d2.evaluation.evaluator INFO: Inference done 82/410. Dataloading: 0.0129 s/iter. Inference: 0.0581 s/iter. Eval: 0.0001 s/iter. Total: 0.0713 s/iter. ETA=0:00:23 +[04/11 03:15:30] d2.evaluation.evaluator INFO: Inference done 152/410. Dataloading: 0.0129 s/iter. Inference: 0.0584 s/iter. Eval: 0.0001 s/iter. Total: 0.0715 s/iter. ETA=0:00:18 +[04/11 03:15:35] d2.evaluation.evaluator INFO: Inference done 228/410. Dataloading: 0.0129 s/iter. Inference: 0.0571 s/iter. Eval: 0.0002 s/iter. Total: 0.0702 s/iter. ETA=0:00:12 +[04/11 03:15:40] d2.evaluation.evaluator INFO: Inference done 298/410. Dataloading: 0.0132 s/iter. Inference: 0.0571 s/iter. Eval: 0.0002 s/iter. Total: 0.0706 s/iter. ETA=0:00:07 +[04/11 03:15:45] d2.evaluation.evaluator INFO: Inference done 373/410. Dataloading: 0.0124 s/iter. Inference: 0.0572 s/iter. Eval: 0.0002 s/iter. Total: 0.0699 s/iter. ETA=0:00:02 +[04/11 03:15:48] d2.evaluation.evaluator INFO: Total inference time: 0:00:28.129532 (0.069456 s / iter per device, on 1 devices) +[04/11 03:15:48] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.056620 s / iter per device, on 1 devices) +[04/11 03:15:48] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 03:15:48] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 03:15:48] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 03:15:48] d2.evaluation.testing INFO: copypaste: 6.3911,16.2365,2.0119 +[04/11 03:15:48] d2.data.common INFO: Serializing the dataset using: +[04/11 03:15:48] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 03:15:48] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 03:15:48] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 03:15:48] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 03:15:50] d2.evaluation.evaluator INFO: Inference done 28/410. Dataloading: 0.0137 s/iter. Inference: 0.0552 s/iter. Eval: 0.0002 s/iter. Total: 0.0691 s/iter. ETA=0:00:26 +[04/11 03:15:55] d2.evaluation.evaluator INFO: Inference done 99/410. Dataloading: 0.0137 s/iter. Inference: 0.0567 s/iter. Eval: 0.0002 s/iter. Total: 0.0707 s/iter. ETA=0:00:21 +[04/11 03:16:00] d2.evaluation.evaluator INFO: Inference done 171/410. Dataloading: 0.0111 s/iter. Inference: 0.0588 s/iter. Eval: 0.0002 s/iter. Total: 0.0702 s/iter. ETA=0:00:16 +[04/11 03:16:05] d2.evaluation.evaluator INFO: Inference done 250/410. Dataloading: 0.0105 s/iter. Inference: 0.0573 s/iter. Eval: 0.0003 s/iter. Total: 0.0681 s/iter. ETA=0:00:10 +[04/11 03:16:10] d2.evaluation.evaluator INFO: Inference done 326/410. Dataloading: 0.0102 s/iter. Inference: 0.0570 s/iter. Eval: 0.0003 s/iter. Total: 0.0676 s/iter. ETA=0:00:05 +[04/11 03:16:15] d2.evaluation.evaluator INFO: Inference done 404/410. Dataloading: 0.0102 s/iter. Inference: 0.0565 s/iter. Eval: 0.0002 s/iter. Total: 0.0670 s/iter. ETA=0:00:00 +[04/11 03:16:16] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.130334 (0.066988 s / iter per device, on 1 devices) +[04/11 03:16:16] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.056384 s / iter per device, on 1 devices) +[04/11 03:16:16] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 03:16:16] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 03:16:16] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 03:16:16] d2.evaluation.testing INFO: copypaste: 11.3201,28.4200,6.7983 +[04/11 03:16:16] d2.utils.events INFO: eta: 8:25:03 iter: 30999 total_loss: 1.832 loss_cls: 0.007493 loss_box_reg: 0.01833 loss_rpn_cls: 0.09707 loss_rpn_loc: 0.001208 loss_D_img_s: 0.7395 loss_cls_pseudo: 0.002161 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2762 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6531 time: 1.6267 last_time: 1.5894 data_time: 0.0081 last_data_time: 0.0102 lr: 0.02 max_mem: 14768M +[04/11 03:16:49] d2.utils.events INFO: eta: 8:24:37 iter: 31019 total_loss: 1.898 loss_cls: 0.006152 loss_box_reg: 0.01971 loss_rpn_cls: 0.0687 loss_rpn_loc: 0.001081 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.00099 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.387 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 1.6267 last_time: 1.6759 data_time: 0.0104 last_data_time: 0.0253 lr: 0.02 max_mem: 14768M +[04/11 03:17:20] d2.utils.events INFO: eta: 8:24:11 iter: 31039 total_loss: 1.578 loss_cls: 0.005469 loss_box_reg: 0.02034 loss_rpn_cls: 0.04266 loss_rpn_loc: 0.0009885 loss_D_img_s: 0.6722 loss_cls_pseudo: 0.0007155 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1155 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7157 time: 1.6266 last_time: 1.6898 data_time: 0.0078 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 03:17:53] d2.utils.events INFO: eta: 8:23:27 iter: 31059 total_loss: 2.038 loss_cls: 0.005378 loss_box_reg: 0.01858 loss_rpn_cls: 0.07526 loss_rpn_loc: 0.00098 loss_D_img_s: 0.7124 loss_cls_pseudo: 0.0005258 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5189 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6777 time: 1.6265 last_time: 1.5761 data_time: 0.0081 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 03:18:25] d2.utils.events INFO: eta: 8:22:49 iter: 31079 total_loss: 1.919 loss_cls: 0.009749 loss_box_reg: 0.02342 loss_rpn_cls: 0.0628 loss_rpn_loc: 0.001471 loss_D_img_s: 0.7015 loss_cls_pseudo: 0.001048 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2525 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6799 time: 1.6264 last_time: 1.5758 data_time: 0.0075 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 03:18:57] d2.utils.events INFO: eta: 8:22:26 iter: 31099 total_loss: 1.756 loss_cls: 0.0102 loss_box_reg: 0.01801 loss_rpn_cls: 0.05283 loss_rpn_loc: 0.001353 loss_D_img_s: 0.7003 loss_cls_pseudo: 0.001098 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2603 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6901 time: 1.6264 last_time: 1.5431 data_time: 0.0081 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 03:19:28] d2.utils.events INFO: eta: 8:21:44 iter: 31119 total_loss: 1.9 loss_cls: 0.009716 loss_box_reg: 0.01847 loss_rpn_cls: 0.08503 loss_rpn_loc: 0.001148 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.003265 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2773 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 1.6261 last_time: 1.4272 data_time: 0.0082 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 03:20:00] d2.utils.events INFO: eta: 8:21:08 iter: 31139 total_loss: 2 loss_cls: 0.007964 loss_box_reg: 0.01833 loss_rpn_cls: 0.05564 loss_rpn_loc: 0.001249 loss_D_img_s: 0.7109 loss_cls_pseudo: 0.001119 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.512 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6792 time: 1.6260 last_time: 1.6097 data_time: 0.0078 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 03:20:32] d2.utils.events INFO: eta: 8:20:25 iter: 31159 total_loss: 2.035 loss_cls: 0.01058 loss_box_reg: 0.01898 loss_rpn_cls: 0.115 loss_rpn_loc: 0.001321 loss_D_img_s: 0.7055 loss_cls_pseudo: 0.003384 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4865 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6734 time: 1.6259 last_time: 1.5012 data_time: 0.0074 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 03:21:04] d2.utils.events INFO: eta: 8:19:46 iter: 31179 total_loss: 1.995 loss_cls: 0.008085 loss_box_reg: 0.01765 loss_rpn_cls: 0.1284 loss_rpn_loc: 0.001532 loss_D_img_s: 0.6985 loss_cls_pseudo: 0.003575 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4934 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6922 time: 1.6259 last_time: 1.4862 data_time: 0.0082 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 03:21:36] d2.utils.events INFO: eta: 8:18:46 iter: 31199 total_loss: 1.733 loss_cls: 0.01087 loss_box_reg: 0.02231 loss_rpn_cls: 0.06987 loss_rpn_loc: 0.001152 loss_D_img_s: 0.6864 loss_cls_pseudo: 0.002186 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1706 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.697 time: 1.6258 last_time: 1.4900 data_time: 0.0075 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 03:22:08] d2.utils.events INFO: eta: 8:18:21 iter: 31219 total_loss: 1.622 loss_cls: 0.009574 loss_box_reg: 0.01383 loss_rpn_cls: 0.04638 loss_rpn_loc: 0.001407 loss_D_img_s: 0.7093 loss_cls_pseudo: 0.001585 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1429 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6839 time: 1.6258 last_time: 1.5625 data_time: 0.0079 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 03:22:40] d2.utils.events INFO: eta: 8:17:45 iter: 31239 total_loss: 2.077 loss_cls: 0.007144 loss_box_reg: 0.01762 loss_rpn_cls: 0.1447 loss_rpn_loc: 0.001447 loss_D_img_s: 0.7129 loss_cls_pseudo: 0.0017 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5203 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6683 time: 1.6257 last_time: 1.5436 data_time: 0.0078 last_data_time: 0.0090 lr: 0.02 max_mem: 14768M +[04/11 03:23:12] d2.utils.events INFO: eta: 8:16:52 iter: 31259 total_loss: 1.885 loss_cls: 0.007603 loss_box_reg: 0.01706 loss_rpn_cls: 0.1002 loss_rpn_loc: 0.001278 loss_D_img_s: 0.6825 loss_cls_pseudo: 0.001309 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2649 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6977 time: 1.6256 last_time: 1.7923 data_time: 0.0079 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 03:23:44] d2.utils.events INFO: eta: 8:16:17 iter: 31279 total_loss: 1.991 loss_cls: 0.006456 loss_box_reg: 0.0183 loss_rpn_cls: 0.0867 loss_rpn_loc: 0.001237 loss_D_img_s: 0.7181 loss_cls_pseudo: 0.0008268 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4982 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.666 time: 1.6254 last_time: 1.6969 data_time: 0.0081 last_data_time: 0.0103 lr: 0.02 max_mem: 14768M +[04/11 03:24:15] d2.utils.events INFO: eta: 8:15:32 iter: 31299 total_loss: 2 loss_cls: 0.009917 loss_box_reg: 0.02066 loss_rpn_cls: 0.06939 loss_rpn_loc: 0.001177 loss_D_img_s: 0.6997 loss_cls_pseudo: 0.0017 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5129 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6822 time: 1.6252 last_time: 1.5684 data_time: 0.0083 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 03:24:47] d2.utils.events INFO: eta: 8:14:58 iter: 31319 total_loss: 1.977 loss_cls: 0.0102 loss_box_reg: 0.02386 loss_rpn_cls: 0.06044 loss_rpn_loc: 0.001282 loss_D_img_s: 0.695 loss_cls_pseudo: 0.001608 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5005 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6822 time: 1.6251 last_time: 1.6034 data_time: 0.0080 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 03:25:19] d2.utils.events INFO: eta: 8:14:27 iter: 31339 total_loss: 1.885 loss_cls: 0.007324 loss_box_reg: 0.01836 loss_rpn_cls: 0.08558 loss_rpn_loc: 0.001218 loss_D_img_s: 0.703 loss_cls_pseudo: 0.002816 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4913 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6695 time: 1.6251 last_time: 1.5740 data_time: 0.0077 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 03:25:51] d2.utils.events INFO: eta: 8:13:57 iter: 31359 total_loss: 2.013 loss_cls: 0.006228 loss_box_reg: 0.01404 loss_rpn_cls: 0.06871 loss_rpn_loc: 0.001152 loss_D_img_s: 0.6804 loss_cls_pseudo: 0.0006893 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5271 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6952 time: 1.6250 last_time: 1.5417 data_time: 0.0079 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 03:26:23] d2.utils.events INFO: eta: 8:12:54 iter: 31379 total_loss: 1.94 loss_cls: 0.007336 loss_box_reg: 0.01893 loss_rpn_cls: 0.08058 loss_rpn_loc: 0.001151 loss_D_img_s: 0.6853 loss_cls_pseudo: 0.001259 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.492 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6716 time: 1.6248 last_time: 1.5673 data_time: 0.0074 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 03:26:54] d2.utils.events INFO: eta: 8:12:20 iter: 31399 total_loss: 1.861 loss_cls: 0.009742 loss_box_reg: 0.01909 loss_rpn_cls: 0.06919 loss_rpn_loc: 0.001167 loss_D_img_s: 0.7407 loss_cls_pseudo: 0.001107 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3822 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.629 time: 1.6247 last_time: 1.5042 data_time: 0.0079 last_data_time: 0.0085 lr: 0.02 max_mem: 14768M +[04/11 03:27:26] d2.utils.events INFO: eta: 8:11:40 iter: 31419 total_loss: 1.753 loss_cls: 0.007969 loss_box_reg: 0.01916 loss_rpn_cls: 0.03124 loss_rpn_loc: 0.001157 loss_D_img_s: 0.7017 loss_cls_pseudo: 0.00217 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2644 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6775 time: 1.6247 last_time: 1.6842 data_time: 0.0083 last_data_time: 0.0088 lr: 0.02 max_mem: 14768M +[04/11 03:27:59] d2.utils.events INFO: eta: 8:11:18 iter: 31439 total_loss: 1.639 loss_cls: 0.007604 loss_box_reg: 0.01713 loss_rpn_cls: 0.06346 loss_rpn_loc: 0.001109 loss_D_img_s: 0.7394 loss_cls_pseudo: 0.001383 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1403 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6516 time: 1.6247 last_time: 1.7498 data_time: 0.0076 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 03:28:32] d2.utils.events INFO: eta: 8:10:47 iter: 31459 total_loss: 2.011 loss_cls: 0.006671 loss_box_reg: 0.016 loss_rpn_cls: 0.06755 loss_rpn_loc: 0.001218 loss_D_img_s: 0.7185 loss_cls_pseudo: 0.001032 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.52 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6773 time: 1.6247 last_time: 1.4646 data_time: 0.0090 last_data_time: 0.0139 lr: 0.02 max_mem: 14768M +[04/11 03:29:03] d2.utils.events INFO: eta: 8:10:13 iter: 31479 total_loss: 2.018 loss_cls: 0.006961 loss_box_reg: 0.01913 loss_rpn_cls: 0.09505 loss_rpn_loc: 0.00121 loss_D_img_s: 0.6788 loss_cls_pseudo: 0.001052 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5147 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7064 time: 1.6246 last_time: 1.5353 data_time: 0.0083 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 03:29:35] d2.utils.events INFO: eta: 8:09:26 iter: 31499 total_loss: 2.075 loss_cls: 0.007335 loss_box_reg: 0.01836 loss_rpn_cls: 0.1118 loss_rpn_loc: 0.001119 loss_D_img_s: 0.6733 loss_cls_pseudo: 0.002421 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5136 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7176 time: 1.6244 last_time: 1.5835 data_time: 0.0082 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 03:30:07] d2.utils.events INFO: eta: 8:08:40 iter: 31519 total_loss: 1.854 loss_cls: 0.009256 loss_box_reg: 0.02226 loss_rpn_cls: 0.08108 loss_rpn_loc: 0.001161 loss_D_img_s: 0.6618 loss_cls_pseudo: 0.001201 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2774 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.714 time: 1.6243 last_time: 1.5391 data_time: 0.0081 last_data_time: 0.0121 lr: 0.02 max_mem: 14768M +[04/11 03:30:38] d2.utils.events INFO: eta: 8:08:11 iter: 31539 total_loss: 1.678 loss_cls: 0.007694 loss_box_reg: 0.02456 loss_rpn_cls: 0.05344 loss_rpn_loc: 0.001282 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.001613 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1659 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6831 time: 1.6242 last_time: 1.5258 data_time: 0.0080 last_data_time: 0.0088 lr: 0.02 max_mem: 14768M +[04/11 03:31:10] d2.utils.events INFO: eta: 8:07:37 iter: 31559 total_loss: 1.865 loss_cls: 0.01152 loss_box_reg: 0.02089 loss_rpn_cls: 0.03737 loss_rpn_loc: 0.001263 loss_D_img_s: 0.6617 loss_cls_pseudo: 0.00294 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3891 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7009 time: 1.6241 last_time: 1.6092 data_time: 0.0080 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 03:31:42] d2.utils.events INFO: eta: 8:07:05 iter: 31579 total_loss: 1.963 loss_cls: 0.007806 loss_box_reg: 0.01881 loss_rpn_cls: 0.1085 loss_rpn_loc: 0.00141 loss_D_img_s: 0.7407 loss_cls_pseudo: 0.001514 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4819 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6579 time: 1.6240 last_time: 1.4822 data_time: 0.0080 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 03:32:14] d2.utils.events INFO: eta: 8:06:38 iter: 31599 total_loss: 1.749 loss_cls: 0.008806 loss_box_reg: 0.02089 loss_rpn_cls: 0.05438 loss_rpn_loc: 0.001376 loss_D_img_s: 0.6825 loss_cls_pseudo: 0.0003508 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.235 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.721 time: 1.6239 last_time: 1.6248 data_time: 0.0076 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 03:32:46] d2.utils.events INFO: eta: 8:06:01 iter: 31619 total_loss: 1.782 loss_cls: 0.006878 loss_box_reg: 0.01991 loss_rpn_cls: 0.05143 loss_rpn_loc: 0.001209 loss_D_img_s: 0.6839 loss_cls_pseudo: 0.001619 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2707 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6979 time: 1.6238 last_time: 1.5700 data_time: 0.0083 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 03:33:18] d2.utils.events INFO: eta: 8:05:35 iter: 31639 total_loss: 1.949 loss_cls: 0.007672 loss_box_reg: 0.01735 loss_rpn_cls: 0.03561 loss_rpn_loc: 0.001174 loss_D_img_s: 0.6904 loss_cls_pseudo: 0.0005712 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5054 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6878 time: 1.6238 last_time: 1.6774 data_time: 0.0077 last_data_time: 0.0083 lr: 0.02 max_mem: 14768M +[04/11 03:33:50] d2.utils.events INFO: eta: 8:04:47 iter: 31659 total_loss: 1.776 loss_cls: 0.006305 loss_box_reg: 0.01793 loss_rpn_cls: 0.0474 loss_rpn_loc: 0.001276 loss_D_img_s: 0.6875 loss_cls_pseudo: 0.001722 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2443 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6982 time: 1.6237 last_time: 1.4226 data_time: 0.0080 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 03:34:22] d2.utils.events INFO: eta: 8:04:16 iter: 31679 total_loss: 1.961 loss_cls: 0.00982 loss_box_reg: 0.01718 loss_rpn_cls: 0.04943 loss_rpn_loc: 0.001303 loss_D_img_s: 0.6913 loss_cls_pseudo: 0.002051 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.506 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6778 time: 1.6236 last_time: 1.4419 data_time: 0.0080 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 03:34:54] d2.utils.events INFO: eta: 8:03:54 iter: 31699 total_loss: 1.972 loss_cls: 0.00799 loss_box_reg: 0.01815 loss_rpn_cls: 0.1487 loss_rpn_loc: 0.001531 loss_D_img_s: 0.7125 loss_cls_pseudo: 0.001091 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2866 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6756 time: 1.6236 last_time: 1.5833 data_time: 0.0083 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 03:35:26] d2.utils.events INFO: eta: 8:03:21 iter: 31719 total_loss: 2.022 loss_cls: 0.008164 loss_box_reg: 0.02124 loss_rpn_cls: 0.09089 loss_rpn_loc: 0.001219 loss_D_img_s: 0.6645 loss_cls_pseudo: 0.000927 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5194 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7275 time: 1.6235 last_time: 1.4921 data_time: 0.0078 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 03:35:58] d2.utils.events INFO: eta: 8:02:50 iter: 31739 total_loss: 1.938 loss_cls: 0.01056 loss_box_reg: 0.02046 loss_rpn_cls: 0.04728 loss_rpn_loc: 0.001418 loss_D_img_s: 0.6765 loss_cls_pseudo: 0.0007337 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4995 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7118 time: 1.6233 last_time: 1.6370 data_time: 0.0078 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 03:36:30] d2.utils.events INFO: eta: 8:02:18 iter: 31759 total_loss: 1.973 loss_cls: 0.00663 loss_box_reg: 0.01791 loss_rpn_cls: 0.05658 loss_rpn_loc: 0.001072 loss_D_img_s: 0.6971 loss_cls_pseudo: 0.0004581 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4963 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6693 time: 1.6233 last_time: 1.4528 data_time: 0.0083 last_data_time: 0.0141 lr: 0.02 max_mem: 14768M +[04/11 03:37:01] d2.utils.events INFO: eta: 8:01:26 iter: 31779 total_loss: 1.916 loss_cls: 0.005992 loss_box_reg: 0.02102 loss_rpn_cls: 0.02211 loss_rpn_loc: 0.001087 loss_D_img_s: 0.7049 loss_cls_pseudo: 0.00156 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5356 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.689 time: 1.6232 last_time: 1.6086 data_time: 0.0078 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 03:37:33] d2.utils.events INFO: eta: 8:00:54 iter: 31799 total_loss: 2.04 loss_cls: 0.009546 loss_box_reg: 0.0194 loss_rpn_cls: 0.126 loss_rpn_loc: 0.001405 loss_D_img_s: 0.7283 loss_cls_pseudo: 0.003927 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4881 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6656 time: 1.6230 last_time: 1.5998 data_time: 0.0082 last_data_time: 0.0126 lr: 0.02 max_mem: 14768M +[04/11 03:38:05] d2.utils.events INFO: eta: 8:00:18 iter: 31819 total_loss: 2.088 loss_cls: 0.01064 loss_box_reg: 0.01999 loss_rpn_cls: 0.111 loss_rpn_loc: 0.001168 loss_D_img_s: 0.6896 loss_cls_pseudo: 0.001941 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.505 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6969 time: 1.6230 last_time: 1.5293 data_time: 0.0080 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 03:38:37] d2.utils.events INFO: eta: 7:59:46 iter: 31839 total_loss: 1.758 loss_cls: 0.006285 loss_box_reg: 0.01757 loss_rpn_cls: 0.1112 loss_rpn_loc: 0.001177 loss_D_img_s: 0.6851 loss_cls_pseudo: 0.001715 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2144 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7002 time: 1.6229 last_time: 1.5160 data_time: 0.0081 last_data_time: 0.0095 lr: 0.02 max_mem: 14768M +[04/11 03:39:09] d2.utils.events INFO: eta: 7:59:15 iter: 31859 total_loss: 1.984 loss_cls: 0.008436 loss_box_reg: 0.0181 loss_rpn_cls: 0.05074 loss_rpn_loc: 0.001255 loss_D_img_s: 0.6812 loss_cls_pseudo: 0.0005868 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5463 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7095 time: 1.6229 last_time: 1.5322 data_time: 0.0080 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 03:39:41] d2.utils.events INFO: eta: 7:58:37 iter: 31879 total_loss: 2.051 loss_cls: 0.007778 loss_box_reg: 0.01739 loss_rpn_cls: 0.1126 loss_rpn_loc: 0.001233 loss_D_img_s: 0.7161 loss_cls_pseudo: 0.000792 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4987 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6694 time: 1.6227 last_time: 1.4757 data_time: 0.0078 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 03:40:13] d2.utils.events INFO: eta: 7:58:15 iter: 31899 total_loss: 1.829 loss_cls: 0.00935 loss_box_reg: 0.01757 loss_rpn_cls: 0.05659 loss_rpn_loc: 0.001136 loss_D_img_s: 0.6728 loss_cls_pseudo: 0.001314 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.364 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7143 time: 1.6226 last_time: 1.7379 data_time: 0.0082 last_data_time: 0.0109 lr: 0.02 max_mem: 14768M +[04/11 03:40:44] d2.utils.events INFO: eta: 7:57:39 iter: 31919 total_loss: 1.996 loss_cls: 0.01094 loss_box_reg: 0.01996 loss_rpn_cls: 0.07837 loss_rpn_loc: 0.001357 loss_D_img_s: 0.7027 loss_cls_pseudo: 0.0004501 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4905 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.677 time: 1.6225 last_time: 1.4797 data_time: 0.0083 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 03:41:17] d2.utils.events INFO: eta: 7:57:13 iter: 31939 total_loss: 1.788 loss_cls: 0.00611 loss_box_reg: 0.01812 loss_rpn_cls: 0.08436 loss_rpn_loc: 0.001013 loss_D_img_s: 0.6991 loss_cls_pseudo: 0.0005112 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2428 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6855 time: 1.6226 last_time: 1.6985 data_time: 0.0084 last_data_time: 0.0097 lr: 0.02 max_mem: 14768M +[04/11 03:41:49] d2.utils.events INFO: eta: 7:56:36 iter: 31959 total_loss: 2.005 loss_cls: 0.008351 loss_box_reg: 0.021 loss_rpn_cls: 0.05637 loss_rpn_loc: 0.001054 loss_D_img_s: 0.674 loss_cls_pseudo: 0.001313 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4852 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7067 time: 1.6225 last_time: 1.5538 data_time: 0.0077 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 03:42:21] d2.utils.events INFO: eta: 7:56:04 iter: 31979 total_loss: 2.036 loss_cls: 0.007794 loss_box_reg: 0.01545 loss_rpn_cls: 0.1361 loss_rpn_loc: 0.001359 loss_D_img_s: 0.7164 loss_cls_pseudo: 0.001195 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4897 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6809 time: 1.6224 last_time: 1.7394 data_time: 0.0091 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 03:42:53] d2.data.common INFO: Serializing the dataset using: +[04/11 03:42:53] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 03:42:53] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 03:42:53] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 03:42:53] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 03:42:54] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0258 s/iter. Inference: 0.0609 s/iter. Eval: 0.0001 s/iter. Total: 0.0868 s/iter. ETA=0:00:34 +[04/11 03:43:00] d2.evaluation.evaluator INFO: Inference done 83/410. Dataloading: 0.0095 s/iter. Inference: 0.0618 s/iter. Eval: 0.0002 s/iter. Total: 0.0716 s/iter. ETA=0:00:23 +[04/11 03:43:05] d2.evaluation.evaluator INFO: Inference done 164/410. Dataloading: 0.0083 s/iter. Inference: 0.0582 s/iter. Eval: 0.0002 s/iter. Total: 0.0667 s/iter. ETA=0:00:16 +[04/11 03:43:10] d2.evaluation.evaluator INFO: Inference done 244/410. Dataloading: 0.0085 s/iter. Inference: 0.0566 s/iter. Eval: 0.0002 s/iter. Total: 0.0653 s/iter. ETA=0:00:10 +[04/11 03:43:15] d2.evaluation.evaluator INFO: Inference done 325/410. Dataloading: 0.0080 s/iter. Inference: 0.0563 s/iter. Eval: 0.0002 s/iter. Total: 0.0646 s/iter. ETA=0:00:05 +[04/11 03:43:20] d2.evaluation.evaluator INFO: Inference done 405/410. Dataloading: 0.0078 s/iter. Inference: 0.0561 s/iter. Eval: 0.0002 s/iter. Total: 0.0642 s/iter. ETA=0:00:00 +[04/11 03:43:20] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.061788 (0.064350 s / iter per device, on 1 devices) +[04/11 03:43:20] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.056072 s / iter per device, on 1 devices) +[04/11 03:43:20] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 03:43:20] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 03:43:20] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 03:43:20] d2.evaluation.testing INFO: copypaste: 6.9597,20.1003,0.5084 +[04/11 03:43:20] d2.data.common INFO: Serializing the dataset using: +[04/11 03:43:20] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 03:43:20] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 03:43:20] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 03:43:20] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 03:43:25] d2.evaluation.evaluator INFO: Inference done 56/410. Dataloading: 0.0119 s/iter. Inference: 0.0604 s/iter. Eval: 0.0004 s/iter. Total: 0.0727 s/iter. ETA=0:00:25 +[04/11 03:43:30] d2.evaluation.evaluator INFO: Inference done 132/410. Dataloading: 0.0090 s/iter. Inference: 0.0595 s/iter. Eval: 0.0003 s/iter. Total: 0.0688 s/iter. ETA=0:00:19 +[04/11 03:43:35] d2.evaluation.evaluator INFO: Inference done 205/410. Dataloading: 0.0099 s/iter. Inference: 0.0585 s/iter. Eval: 0.0002 s/iter. Total: 0.0688 s/iter. ETA=0:00:14 +[04/11 03:43:40] d2.evaluation.evaluator INFO: Inference done 285/410. Dataloading: 0.0088 s/iter. Inference: 0.0579 s/iter. Eval: 0.0002 s/iter. Total: 0.0671 s/iter. ETA=0:00:08 +[04/11 03:43:45] d2.evaluation.evaluator INFO: Inference done 368/410. Dataloading: 0.0082 s/iter. Inference: 0.0570 s/iter. Eval: 0.0002 s/iter. Total: 0.0656 s/iter. ETA=0:00:02 +[04/11 03:43:48] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.641357 (0.065781 s / iter per device, on 1 devices) +[04/11 03:43:48] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.056857 s / iter per device, on 1 devices) +[04/11 03:43:48] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 03:43:48] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 03:43:48] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 03:43:48] d2.evaluation.testing INFO: copypaste: 7.7709,19.1324,3.8532 +[04/11 03:43:48] d2.utils.events INFO: eta: 7:55:33 iter: 31999 total_loss: 1.665 loss_cls: 0.009006 loss_box_reg: 0.02262 loss_rpn_cls: 0.03802 loss_rpn_loc: 0.001275 loss_D_img_s: 0.6696 loss_cls_pseudo: 0.002566 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1816 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7088 time: 1.6224 last_time: 1.8548 data_time: 0.0077 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 03:44:20] d2.utils.events INFO: eta: 7:55:06 iter: 32019 total_loss: 2.056 loss_cls: 0.01171 loss_box_reg: 0.01953 loss_rpn_cls: 0.06776 loss_rpn_loc: 0.001284 loss_D_img_s: 0.7126 loss_cls_pseudo: 0.003242 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5144 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6695 time: 1.6224 last_time: 1.6690 data_time: 0.0089 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 03:44:53] d2.utils.events INFO: eta: 7:54:40 iter: 32039 total_loss: 2.045 loss_cls: 0.01105 loss_box_reg: 0.02309 loss_rpn_cls: 0.1199 loss_rpn_loc: 0.001347 loss_D_img_s: 0.6978 loss_cls_pseudo: 0.001306 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5202 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6669 time: 1.6224 last_time: 1.6037 data_time: 0.0086 last_data_time: 0.0127 lr: 0.02 max_mem: 14768M +[04/11 03:45:25] d2.utils.events INFO: eta: 7:54:12 iter: 32059 total_loss: 2.022 loss_cls: 0.01164 loss_box_reg: 0.02026 loss_rpn_cls: 0.0726 loss_rpn_loc: 0.00171 loss_D_img_s: 0.7193 loss_cls_pseudo: 0.0008946 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5109 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6743 time: 1.6223 last_time: 1.6384 data_time: 0.0079 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 03:45:57] d2.utils.events INFO: eta: 7:53:37 iter: 32079 total_loss: 1.811 loss_cls: 0.006309 loss_box_reg: 0.0199 loss_rpn_cls: 0.05858 loss_rpn_loc: 0.001313 loss_D_img_s: 0.6773 loss_cls_pseudo: 0.001482 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2327 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7064 time: 1.6222 last_time: 1.5831 data_time: 0.0075 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 03:46:29] d2.utils.events INFO: eta: 7:53:09 iter: 32099 total_loss: 1.758 loss_cls: 0.01154 loss_box_reg: 0.01862 loss_rpn_cls: 0.0613 loss_rpn_loc: 0.001084 loss_D_img_s: 0.6892 loss_cls_pseudo: 0.0008463 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2378 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6934 time: 1.6222 last_time: 1.8425 data_time: 0.0080 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 03:47:01] d2.utils.events INFO: eta: 7:52:38 iter: 32119 total_loss: 1.668 loss_cls: 0.009614 loss_box_reg: 0.02328 loss_rpn_cls: 0.03363 loss_rpn_loc: 0.001294 loss_D_img_s: 0.659 loss_cls_pseudo: 0.0008152 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1901 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6914 time: 1.6221 last_time: 1.7183 data_time: 0.0078 last_data_time: 0.0102 lr: 0.02 max_mem: 14768M +[04/11 03:47:33] d2.utils.events INFO: eta: 7:52:06 iter: 32139 total_loss: 1.85 loss_cls: 0.007225 loss_box_reg: 0.0177 loss_rpn_cls: 0.03552 loss_rpn_loc: 0.001036 loss_D_img_s: 0.7362 loss_cls_pseudo: 0.001086 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3756 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6172 time: 1.6221 last_time: 1.5654 data_time: 0.0082 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 03:48:05] d2.utils.events INFO: eta: 7:51:30 iter: 32159 total_loss: 1.884 loss_cls: 0.007828 loss_box_reg: 0.01538 loss_rpn_cls: 0.07835 loss_rpn_loc: 0.001282 loss_D_img_s: 0.7731 loss_cls_pseudo: 0.001264 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3723 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6379 time: 1.6220 last_time: 1.6535 data_time: 0.0080 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 03:48:37] d2.utils.events INFO: eta: 7:51:08 iter: 32179 total_loss: 1.917 loss_cls: 0.01028 loss_box_reg: 0.02236 loss_rpn_cls: 0.03855 loss_rpn_loc: 0.001467 loss_D_img_s: 0.664 loss_cls_pseudo: 0.00136 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5225 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7171 time: 1.6219 last_time: 1.6008 data_time: 0.0081 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 03:49:09] d2.utils.events INFO: eta: 7:50:34 iter: 32199 total_loss: 1.769 loss_cls: 0.006717 loss_box_reg: 0.02076 loss_rpn_cls: 0.04248 loss_rpn_loc: 0.001424 loss_D_img_s: 0.6949 loss_cls_pseudo: 0.001336 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2508 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6644 time: 1.6218 last_time: 1.6374 data_time: 0.0081 last_data_time: 0.0060 lr: 0.02 max_mem: 14768M +[04/11 03:49:40] d2.utils.events INFO: eta: 7:49:49 iter: 32219 total_loss: 1.78 loss_cls: 0.007858 loss_box_reg: 0.0166 loss_rpn_cls: 0.03047 loss_rpn_loc: 0.001251 loss_D_img_s: 0.6726 loss_cls_pseudo: 0.0005154 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3472 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7056 time: 1.6217 last_time: 1.5670 data_time: 0.0077 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 03:50:12] d2.utils.events INFO: eta: 7:49:12 iter: 32239 total_loss: 2.047 loss_cls: 0.01088 loss_box_reg: 0.01699 loss_rpn_cls: 0.0606 loss_rpn_loc: 0.001501 loss_D_img_s: 0.699 loss_cls_pseudo: 0.000672 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5128 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7101 time: 1.6217 last_time: 1.5455 data_time: 0.0077 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 03:50:45] d2.utils.events INFO: eta: 7:48:46 iter: 32259 total_loss: 2.02 loss_cls: 0.009648 loss_box_reg: 0.02119 loss_rpn_cls: 0.1128 loss_rpn_loc: 0.001303 loss_D_img_s: 0.6918 loss_cls_pseudo: 0.001971 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5145 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6973 time: 1.6216 last_time: 1.6014 data_time: 0.0076 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 03:51:17] d2.utils.events INFO: eta: 7:48:38 iter: 32279 total_loss: 1.975 loss_cls: 0.01082 loss_box_reg: 0.01765 loss_rpn_cls: 0.0493 loss_rpn_loc: 0.001398 loss_D_img_s: 0.6801 loss_cls_pseudo: 0.002075 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5133 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6969 time: 1.6216 last_time: 1.6000 data_time: 0.0075 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 03:51:48] d2.utils.events INFO: eta: 7:48:07 iter: 32299 total_loss: 1.96 loss_cls: 0.006366 loss_box_reg: 0.01773 loss_rpn_cls: 0.04469 loss_rpn_loc: 0.001108 loss_D_img_s: 0.6967 loss_cls_pseudo: 0.0009516 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4832 loss_rpn_loc_pseudo: 0 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d2.utils.events INFO: eta: 7:43:54 iter: 32459 total_loss: 1.937 loss_cls: 0.007499 loss_box_reg: 0.01493 loss_rpn_cls: 0.08273 loss_rpn_loc: 0.000991 loss_D_img_s: 0.7115 loss_cls_pseudo: 0.001145 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3964 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6668 time: 1.6211 last_time: 1.7048 data_time: 0.0079 last_data_time: 0.0097 lr: 0.02 max_mem: 14768M +[04/11 03:56:37] d2.utils.events INFO: eta: 7:43:12 iter: 32479 total_loss: 1.974 loss_cls: 0.006816 loss_box_reg: 0.01555 loss_rpn_cls: 0.04621 loss_rpn_loc: 0.001053 loss_D_img_s: 0.6969 loss_cls_pseudo: 0.001035 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5263 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6848 time: 1.6211 last_time: 1.7528 data_time: 0.0077 last_data_time: 0.0085 lr: 0.02 max_mem: 14768M +[04/11 03:57:09] d2.utils.events INFO: eta: 7:42:55 iter: 32499 total_loss: 1.814 loss_cls: 0.007264 loss_box_reg: 0.01523 loss_rpn_cls: 0.05806 loss_rpn_loc: 0.0009851 loss_D_img_s: 0.7335 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d2.utils.events INFO: eta: 7:32:22 iter: 32899 total_loss: 1.775 loss_cls: 0.007234 loss_box_reg: 0.01929 loss_rpn_cls: 0.1542 loss_rpn_loc: 0.001521 loss_D_img_s: 0.7121 loss_cls_pseudo: 0.001536 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2109 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6592 time: 1.6197 last_time: 1.4121 data_time: 0.0080 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 04:08:21] d2.utils.events INFO: eta: 7:31:56 iter: 32919 total_loss: 1.832 loss_cls: 0.0119 loss_box_reg: 0.02324 loss_rpn_cls: 0.04464 loss_rpn_loc: 0.001431 loss_D_img_s: 0.6775 loss_cls_pseudo: 0.001256 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3559 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6897 time: 1.6198 last_time: 1.6106 data_time: 0.0077 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 04:08:53] d2.utils.events INFO: eta: 7:31:19 iter: 32939 total_loss: 2.006 loss_cls: 0.008031 loss_box_reg: 0.01975 loss_rpn_cls: 0.04954 loss_rpn_loc: 0.001094 loss_D_img_s: 0.7032 loss_cls_pseudo: 0.001762 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5196 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6966 time: 1.6198 last_time: 1.5317 data_time: 0.0080 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 04:09:25] d2.utils.events INFO: eta: 7:30:48 iter: 32959 total_loss: 1.986 loss_cls: 0.009321 loss_box_reg: 0.01834 loss_rpn_cls: 0.07032 loss_rpn_loc: 0.001447 loss_D_img_s: 0.6837 loss_cls_pseudo: 0.004027 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5077 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.708 time: 1.6198 last_time: 1.6162 data_time: 0.0085 last_data_time: 0.0095 lr: 0.02 max_mem: 14768M +[04/11 04:09:56] d2.utils.events INFO: eta: 7:30:09 iter: 32979 total_loss: 2.004 loss_cls: 0.01004 loss_box_reg: 0.01803 loss_rpn_cls: 0.09328 loss_rpn_loc: 0.001292 loss_D_img_s: 0.6947 loss_cls_pseudo: 0.001744 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5031 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6762 time: 1.6196 last_time: 1.6708 data_time: 0.0076 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 04:10:28] d2.data.common INFO: Serializing the dataset using: +[04/11 04:10:28] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 04:10:28] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 04:10:28] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 04:10:28] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 04:10:30] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0157 s/iter. Inference: 0.0505 s/iter. Eval: 0.0001 s/iter. Total: 0.0663 s/iter. ETA=0:00:26 +[04/11 04:10:35] d2.evaluation.evaluator INFO: Inference done 80/410. Dataloading: 0.0149 s/iter. Inference: 0.0574 s/iter. Eval: 0.0001 s/iter. Total: 0.0725 s/iter. ETA=0:00:23 +[04/11 04:10:40] d2.evaluation.evaluator INFO: Inference done 156/410. Dataloading: 0.0125 s/iter. Inference: 0.0567 s/iter. Eval: 0.0002 s/iter. Total: 0.0694 s/iter. ETA=0:00:17 +[04/11 04:10:45] d2.evaluation.evaluator INFO: Inference done 237/410. Dataloading: 0.0110 s/iter. Inference: 0.0556 s/iter. Eval: 0.0002 s/iter. Total: 0.0669 s/iter. ETA=0:00:11 +[04/11 04:10:50] d2.evaluation.evaluator INFO: Inference done 316/410. Dataloading: 0.0103 s/iter. Inference: 0.0555 s/iter. Eval: 0.0002 s/iter. Total: 0.0660 s/iter. ETA=0:00:06 +[04/11 04:10:55] d2.evaluation.evaluator INFO: Inference done 396/410. Dataloading: 0.0098 s/iter. Inference: 0.0553 s/iter. Eval: 0.0002 s/iter. Total: 0.0654 s/iter. ETA=0:00:00 +[04/11 04:10:56] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.433161 (0.065267 s / iter per device, on 1 devices) +[04/11 04:10:56] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.055165 s / iter per device, on 1 devices) +[04/11 04:10:56] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 04:10:56] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 04:10:56] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 04:10:56] d2.evaluation.testing INFO: copypaste: 9.1288,28.2978,3.4153 +[04/11 04:10:56] d2.data.common INFO: Serializing the dataset using: +[04/11 04:10:56] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 04:10:56] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 04:10:56] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 04:10:56] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 04:11:00] d2.evaluation.evaluator INFO: Inference done 52/410. Dataloading: 0.0117 s/iter. Inference: 0.0557 s/iter. Eval: 0.0002 s/iter. Total: 0.0676 s/iter. ETA=0:00:24 +[04/11 04:11:05] d2.evaluation.evaluator INFO: Inference done 121/410. Dataloading: 0.0127 s/iter. Inference: 0.0576 s/iter. Eval: 0.0002 s/iter. Total: 0.0706 s/iter. ETA=0:00:20 +[04/11 04:11:10] d2.evaluation.evaluator INFO: Inference done 197/410. Dataloading: 0.0114 s/iter. Inference: 0.0570 s/iter. Eval: 0.0003 s/iter. Total: 0.0688 s/iter. ETA=0:00:14 +[04/11 04:11:15] d2.evaluation.evaluator INFO: Inference done 274/410. Dataloading: 0.0099 s/iter. Inference: 0.0574 s/iter. Eval: 0.0003 s/iter. Total: 0.0677 s/iter. ETA=0:00:09 +[04/11 04:11:20] d2.evaluation.evaluator INFO: Inference done 352/410. Dataloading: 0.0106 s/iter. Inference: 0.0561 s/iter. Eval: 0.0003 s/iter. Total: 0.0670 s/iter. ETA=0:00:03 +[04/11 04:11:23] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.800270 (0.066174 s / iter per device, on 1 devices) +[04/11 04:11:23] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.055445 s / iter per device, on 1 devices) +[04/11 04:11:24] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 04:11:24] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 04:11:24] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 04:11:24] d2.evaluation.testing INFO: copypaste: 5.1776,13.4611,2.6412 +[04/11 04:11:24] d2.utils.events INFO: eta: 7:29:39 iter: 32999 total_loss: 1.97 loss_cls: 0.01064 loss_box_reg: 0.01763 loss_rpn_cls: 0.03769 loss_rpn_loc: 0.00102 loss_D_img_s: 0.696 loss_cls_pseudo: 0.001389 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5173 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6944 time: 1.6196 last_time: 1.5981 data_time: 0.0088 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 04:11:55] d2.utils.events INFO: eta: 7:28:44 iter: 33019 total_loss: 2.005 loss_cls: 0.007657 loss_box_reg: 0.01683 loss_rpn_cls: 0.08713 loss_rpn_loc: 0.001328 loss_D_img_s: 0.7157 loss_cls_pseudo: 0.0006223 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.503 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6749 time: 1.6195 last_time: 1.6052 data_time: 0.0077 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 04:12:28] d2.utils.events INFO: eta: 7:28:21 iter: 33039 total_loss: 1.831 loss_cls: 0.008575 loss_box_reg: 0.0205 loss_rpn_cls: 0.04412 loss_rpn_loc: 0.001108 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.001356 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2658 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6909 time: 1.6195 last_time: 1.5738 data_time: 0.0078 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 04:13:00] d2.utils.events INFO: eta: 7:27:38 iter: 33059 total_loss: 1.965 loss_cls: 0.00938 loss_box_reg: 0.01752 loss_rpn_cls: 0.04574 loss_rpn_loc: 0.001125 loss_D_img_s: 0.7007 loss_cls_pseudo: 0.001643 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4923 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6891 time: 1.6195 last_time: 1.5985 data_time: 0.0081 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 04:13:33] d2.utils.events INFO: eta: 7:27:26 iter: 33079 total_loss: 1.988 loss_cls: 0.009498 loss_box_reg: 0.01727 loss_rpn_cls: 0.02516 loss_rpn_loc: 0.001095 loss_D_img_s: 0.6773 loss_cls_pseudo: 0.002025 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4902 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7016 time: 1.6195 last_time: 1.5999 data_time: 0.0085 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 04:14:04] d2.utils.events INFO: eta: 7:26:33 iter: 33099 total_loss: 1.767 loss_cls: 0.01649 loss_box_reg: 0.02458 loss_rpn_cls: 0.08962 loss_rpn_loc: 0.001607 loss_D_img_s: 0.7015 loss_cls_pseudo: 0.00284 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2248 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.68 time: 1.6194 last_time: 1.6164 data_time: 0.0081 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 04:14:37] d2.utils.events INFO: eta: 7:26:03 iter: 33119 total_loss: 1.996 loss_cls: 0.0101 loss_box_reg: 0.01975 loss_rpn_cls: 0.07585 loss_rpn_loc: 0.001131 loss_D_img_s: 0.71 loss_cls_pseudo: 0.002037 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4832 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6886 time: 1.6194 last_time: 1.8156 data_time: 0.0084 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 04:15:09] d2.utils.events INFO: eta: 7:25:33 iter: 33139 total_loss: 2.007 loss_cls: 0.01046 loss_box_reg: 0.01652 loss_rpn_cls: 0.0967 loss_rpn_loc: 0.001263 loss_D_img_s: 0.7305 loss_cls_pseudo: 0.00149 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4979 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6449 time: 1.6193 last_time: 1.4905 data_time: 0.0078 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 04:15:40] d2.utils.events INFO: eta: 7:25:03 iter: 33159 total_loss: 1.852 loss_cls: 0.01017 loss_box_reg: 0.01945 loss_rpn_cls: 0.0566 loss_rpn_loc: 0.001167 loss_D_img_s: 0.6934 loss_cls_pseudo: 0.001504 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3791 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6847 time: 1.6193 last_time: 1.5934 data_time: 0.0079 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 04:16:12] d2.utils.events INFO: eta: 7:24:19 iter: 33179 total_loss: 1.704 loss_cls: 0.007608 loss_box_reg: 0.02044 loss_rpn_cls: 0.02751 loss_rpn_loc: 0.001217 loss_D_img_s: 0.6635 loss_cls_pseudo: 0.001115 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2236 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7041 time: 1.6192 last_time: 1.5785 data_time: 0.0079 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 04:16:45] d2.utils.events INFO: eta: 7:23:56 iter: 33199 total_loss: 2.039 loss_cls: 0.01218 loss_box_reg: 0.02074 loss_rpn_cls: 0.08855 loss_rpn_loc: 0.00151 loss_D_img_s: 0.7485 loss_cls_pseudo: 0.001927 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5074 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6428 time: 1.6192 last_time: 1.6551 data_time: 0.0081 last_data_time: 0.0088 lr: 0.02 max_mem: 14768M +[04/11 04:17:17] d2.utils.events INFO: eta: 7:23:23 iter: 33219 total_loss: 1.997 loss_cls: 0.006622 loss_box_reg: 0.01853 loss_rpn_cls: 0.1099 loss_rpn_loc: 0.001042 loss_D_img_s: 0.7129 loss_cls_pseudo: 0.001178 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4969 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6598 time: 1.6192 last_time: 1.8089 data_time: 0.0079 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 04:17:49] d2.utils.events INFO: eta: 7:22:38 iter: 33239 total_loss: 1.965 loss_cls: 0.006048 loss_box_reg: 0.018 loss_rpn_cls: 0.05042 loss_rpn_loc: 0.001021 loss_D_img_s: 0.6749 loss_cls_pseudo: 0.001463 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4838 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7111 time: 1.6191 last_time: 1.4430 data_time: 0.0082 last_data_time: 0.0097 lr: 0.02 max_mem: 14768M +[04/11 04:18:20] d2.utils.events INFO: eta: 7:21:58 iter: 33259 total_loss: 1.98 loss_cls: 0.0112 loss_box_reg: 0.01537 loss_rpn_cls: 0.05451 loss_rpn_loc: 0.00106 loss_D_img_s: 0.6842 loss_cls_pseudo: 0.002236 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4984 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6937 time: 1.6190 last_time: 1.6576 data_time: 0.0077 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 04:18:52] d2.utils.events INFO: eta: 7:21:06 iter: 33279 total_loss: 1.821 loss_cls: 0.009149 loss_box_reg: 0.01947 loss_rpn_cls: 0.1065 loss_rpn_loc: 0.001187 loss_D_img_s: 0.7048 loss_cls_pseudo: 0.00204 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2561 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.689 time: 1.6190 last_time: 1.5086 data_time: 0.0085 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 04:19:24] d2.utils.events INFO: eta: 7:20:41 iter: 33299 total_loss: 1.698 loss_cls: 0.007004 loss_box_reg: 0.01577 loss_rpn_cls: 0.05151 loss_rpn_loc: 0.001281 loss_D_img_s: 0.6581 loss_cls_pseudo: 0.0006069 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2615 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7146 time: 1.6189 last_time: 1.5506 data_time: 0.0086 last_data_time: 0.0097 lr: 0.02 max_mem: 14768M +[04/11 04:19:57] d2.utils.events INFO: eta: 7:20:13 iter: 33319 total_loss: 2.019 loss_cls: 0.006284 loss_box_reg: 0.01651 loss_rpn_cls: 0.1118 loss_rpn_loc: 0.0009713 loss_D_img_s: 0.7095 loss_cls_pseudo: 0.0004609 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5178 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6608 time: 1.6189 last_time: 1.7670 data_time: 0.0080 last_data_time: 0.0116 lr: 0.02 max_mem: 14768M +[04/11 04:20:28] d2.utils.events INFO: eta: 7:19:22 iter: 33339 total_loss: 1.767 loss_cls: 0.006111 loss_box_reg: 0.01686 loss_rpn_cls: 0.06397 loss_rpn_loc: 0.001069 loss_D_img_s: 0.6668 loss_cls_pseudo: 0.001172 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2745 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7216 time: 1.6188 last_time: 1.5674 data_time: 0.0072 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 04:21:00] d2.utils.events INFO: eta: 7:18:50 iter: 33359 total_loss: 1.836 loss_cls: 0.007378 loss_box_reg: 0.01823 loss_rpn_cls: 0.04786 loss_rpn_loc: 0.001043 loss_D_img_s: 0.6681 loss_cls_pseudo: 0.0005723 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3734 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7236 time: 1.6188 last_time: 1.7184 data_time: 0.0083 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 04:21:32] d2.utils.events INFO: eta: 7:18:16 iter: 33379 total_loss: 1.925 loss_cls: 0.006387 loss_box_reg: 0.0154 loss_rpn_cls: 0.05845 loss_rpn_loc: 0.001018 loss_D_img_s: 0.6981 loss_cls_pseudo: 0.002431 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.486 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6939 time: 1.6187 last_time: 1.5504 data_time: 0.0078 last_data_time: 0.0108 lr: 0.02 max_mem: 14768M +[04/11 04:22:04] d2.utils.events INFO: eta: 7:17:47 iter: 33399 total_loss: 1.945 loss_cls: 0.007875 loss_box_reg: 0.02078 loss_rpn_cls: 0.04878 loss_rpn_loc: 0.001273 loss_D_img_s: 0.6904 loss_cls_pseudo: 0.001176 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5026 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 1.6186 last_time: 1.5610 data_time: 0.0083 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 04:22:36] d2.utils.events INFO: eta: 7:17:09 iter: 33419 total_loss: 1.933 loss_cls: 0.006003 loss_box_reg: 0.01547 loss_rpn_cls: 0.03892 loss_rpn_loc: 0.001282 loss_D_img_s: 0.6991 loss_cls_pseudo: 0.0009855 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4949 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6817 time: 1.6186 last_time: 1.6289 data_time: 0.0078 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 04:23:08] d2.utils.events INFO: eta: 7:16:41 iter: 33439 total_loss: 1.905 loss_cls: 0.008337 loss_box_reg: 0.01768 loss_rpn_cls: 0.04483 loss_rpn_loc: 0.001258 loss_D_img_s: 0.697 loss_cls_pseudo: 0.001161 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4795 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6795 time: 1.6185 last_time: 1.6066 data_time: 0.0080 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 04:23:40] d2.utils.events INFO: eta: 7:16:13 iter: 33459 total_loss: 1.707 loss_cls: 0.008284 loss_box_reg: 0.0177 loss_rpn_cls: 0.05111 loss_rpn_loc: 0.001343 loss_D_img_s: 0.7026 loss_cls_pseudo: 0.001658 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2319 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6792 time: 1.6185 last_time: 1.5989 data_time: 0.0077 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 04:24:12] d2.utils.events INFO: eta: 7:15:46 iter: 33479 total_loss: 1.986 loss_cls: 0.0116 loss_box_reg: 0.01743 loss_rpn_cls: 0.0562 loss_rpn_loc: 0.001568 loss_D_img_s: 0.6927 loss_cls_pseudo: 0.001118 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4874 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7012 time: 1.6184 last_time: 1.7100 data_time: 0.0082 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 04:24:43] d2.utils.events INFO: eta: 7:15:13 iter: 33499 total_loss: 1.798 loss_cls: 0.01308 loss_box_reg: 0.01667 loss_rpn_cls: 0.1405 loss_rpn_loc: 0.001671 loss_D_img_s: 0.6854 loss_cls_pseudo: 0.002538 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2453 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6908 time: 1.6184 last_time: 1.6635 data_time: 0.0081 last_data_time: 0.0088 lr: 0.02 max_mem: 14768M +[04/11 04:25:15] d2.utils.events INFO: eta: 7:14:37 iter: 33519 total_loss: 2.123 loss_cls: 0.01347 loss_box_reg: 0.01616 loss_rpn_cls: 0.05691 loss_rpn_loc: 0.001532 loss_D_img_s: 0.6962 loss_cls_pseudo: 0.001411 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.6155 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.691 time: 1.6183 last_time: 1.5676 data_time: 0.0077 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 04:25:47] d2.utils.events INFO: eta: 7:14:09 iter: 33539 total_loss: 2.067 loss_cls: 0.007793 loss_box_reg: 0.02176 loss_rpn_cls: 0.1505 loss_rpn_loc: 0.001063 loss_D_img_s: 0.6896 loss_cls_pseudo: 0.002326 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.491 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6932 time: 1.6183 last_time: 1.7211 data_time: 0.0074 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 04:26:20] d2.utils.events INFO: eta: 7:14:03 iter: 33559 total_loss: 1.967 loss_cls: 0.009853 loss_box_reg: 0.01971 loss_rpn_cls: 0.05819 loss_rpn_loc: 0.001103 loss_D_img_s: 0.678 loss_cls_pseudo: 0.001419 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4844 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6998 time: 1.6183 last_time: 1.6573 data_time: 0.0080 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 04:26:52] d2.utils.events INFO: eta: 7:13:31 iter: 33579 total_loss: 1.956 loss_cls: 0.007274 loss_box_reg: 0.0166 loss_rpn_cls: 0.09443 loss_rpn_loc: 0.001329 loss_D_img_s: 0.7022 loss_cls_pseudo: 0.0008085 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4697 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6837 time: 1.6182 last_time: 1.6343 data_time: 0.0077 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 04:27:23] d2.utils.events INFO: eta: 7:13:03 iter: 33599 total_loss: 1.821 loss_cls: 0.007121 loss_box_reg: 0.01681 loss_rpn_cls: 0.07739 loss_rpn_loc: 0.0009964 loss_D_img_s: 0.6914 loss_cls_pseudo: 0.002109 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.254 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6841 time: 1.6181 last_time: 1.5381 data_time: 0.0078 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 04:27:55] d2.utils.events INFO: eta: 7:12:36 iter: 33619 total_loss: 1.98 loss_cls: 0.009693 loss_box_reg: 0.01864 loss_rpn_cls: 0.1046 loss_rpn_loc: 0.00148 loss_D_img_s: 0.6842 loss_cls_pseudo: 0.002086 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4815 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6946 time: 1.6181 last_time: 1.5230 data_time: 0.0079 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 04:28:27] d2.utils.events INFO: eta: 7:11:43 iter: 33639 total_loss: 2.078 loss_cls: 0.007575 loss_box_reg: 0.01728 loss_rpn_cls: 0.118 loss_rpn_loc: 0.001016 loss_D_img_s: 0.6952 loss_cls_pseudo: 0.000604 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5164 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6976 time: 1.6180 last_time: 1.5803 data_time: 0.0077 last_data_time: 0.0095 lr: 0.02 max_mem: 14768M +[04/11 04:28:59] d2.utils.events INFO: eta: 7:11:02 iter: 33659 total_loss: 1.811 loss_cls: 0.006574 loss_box_reg: 0.0193 loss_rpn_cls: 0.04608 loss_rpn_loc: 0.001216 loss_D_img_s: 0.6785 loss_cls_pseudo: 0.001012 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2364 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7031 time: 1.6180 last_time: 1.5330 data_time: 0.0076 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 04:29:31] d2.utils.events INFO: eta: 7:10:35 iter: 33679 total_loss: 1.949 loss_cls: 0.01488 loss_box_reg: 0.01789 loss_rpn_cls: 0.2063 loss_rpn_loc: 0.001906 loss_D_img_s: 0.7103 loss_cls_pseudo: 0.001092 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2865 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6745 time: 1.6179 last_time: 1.5400 data_time: 0.0080 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 04:30:03] d2.utils.events INFO: eta: 7:10:11 iter: 33699 total_loss: 1.814 loss_cls: 0.01075 loss_box_reg: 0.0199 loss_rpn_cls: 0.07019 loss_rpn_loc: 0.001768 loss_D_img_s: 0.6968 loss_cls_pseudo: 0.002175 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2461 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6773 time: 1.6179 last_time: 1.5230 data_time: 0.0083 last_data_time: 0.0099 lr: 0.02 max_mem: 14768M +[04/11 04:30:35] d2.utils.events INFO: eta: 7:09:47 iter: 33719 total_loss: 1.852 loss_cls: 0.01133 loss_box_reg: 0.02096 loss_rpn_cls: 0.08599 loss_rpn_loc: 0.001687 loss_D_img_s: 0.6863 loss_cls_pseudo: 0.001286 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2401 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7001 time: 1.6179 last_time: 1.6938 data_time: 0.0078 last_data_time: 0.0103 lr: 0.02 max_mem: 14768M +[04/11 04:31:07] d2.utils.events INFO: eta: 7:09:16 iter: 33739 total_loss: 2.013 loss_cls: 0.009749 loss_box_reg: 0.02059 loss_rpn_cls: 0.06036 loss_rpn_loc: 0.001396 loss_D_img_s: 0.6898 loss_cls_pseudo: 0.001137 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5196 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6989 time: 1.6178 last_time: 1.6227 data_time: 0.0079 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 04:31:39] d2.utils.events INFO: eta: 7:08:33 iter: 33759 total_loss: 1.871 loss_cls: 0.007011 loss_box_reg: 0.0188 loss_rpn_cls: 0.1289 loss_rpn_loc: 0.001427 loss_D_img_s: 0.6877 loss_cls_pseudo: 0.002011 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2742 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6819 time: 1.6177 last_time: 1.5555 data_time: 0.0089 last_data_time: 0.0061 lr: 0.02 max_mem: 14768M +[04/11 04:32:11] d2.utils.events INFO: eta: 7:07:56 iter: 33779 total_loss: 2.006 loss_cls: 0.005904 loss_box_reg: 0.01848 loss_rpn_cls: 0.03795 loss_rpn_loc: 0.001132 loss_D_img_s: 0.6809 loss_cls_pseudo: 0.001202 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5481 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7039 time: 1.6177 last_time: 1.6011 data_time: 0.0079 last_data_time: 0.0112 lr: 0.02 max_mem: 14768M +[04/11 04:32:43] d2.utils.events INFO: eta: 7:07:24 iter: 33799 total_loss: 1.936 loss_cls: 0.009287 loss_box_reg: 0.02067 loss_rpn_cls: 0.04644 loss_rpn_loc: 0.001522 loss_D_img_s: 0.6944 loss_cls_pseudo: 0.001208 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4917 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6759 time: 1.6176 last_time: 1.5821 data_time: 0.0087 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 04:33:15] d2.utils.events INFO: eta: 7:06:58 iter: 33819 total_loss: 1.75 loss_cls: 0.006292 loss_box_reg: 0.01603 loss_rpn_cls: 0.04129 loss_rpn_loc: 0.001193 loss_D_img_s: 0.6981 loss_cls_pseudo: 0.001703 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2392 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6838 time: 1.6176 last_time: 1.6320 data_time: 0.0078 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 04:33:47] d2.utils.events INFO: eta: 7:06:51 iter: 33839 total_loss: 1.634 loss_cls: 0.006088 loss_box_reg: 0.01822 loss_rpn_cls: 0.02413 loss_rpn_loc: 0.001409 loss_D_img_s: 0.6531 loss_cls_pseudo: 0.0005546 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.183 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7149 time: 1.6176 last_time: 1.8066 data_time: 0.0080 last_data_time: 0.0099 lr: 0.02 max_mem: 14768M +[04/11 04:34:19] d2.utils.events INFO: eta: 7:05:45 iter: 33859 total_loss: 1.97 loss_cls: 0.006025 loss_box_reg: 0.01548 loss_rpn_cls: 0.08536 loss_rpn_loc: 0.001275 loss_D_img_s: 0.7157 loss_cls_pseudo: 0.0005476 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5014 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6678 time: 1.6175 last_time: 1.4966 data_time: 0.0075 last_data_time: 0.0059 lr: 0.02 max_mem: 14768M +[04/11 04:34:51] d2.utils.events INFO: eta: 7:05:10 iter: 33879 total_loss: 1.946 loss_cls: 0.01181 loss_box_reg: 0.01819 loss_rpn_cls: 0.02771 loss_rpn_loc: 0.001298 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.002385 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4925 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7091 time: 1.6175 last_time: 1.4698 data_time: 0.0086 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 04:35:22] d2.utils.events INFO: eta: 7:04:37 iter: 33899 total_loss: 2.054 loss_cls: 0.007463 loss_box_reg: 0.01487 loss_rpn_cls: 0.2031 loss_rpn_loc: 0.001465 loss_D_img_s: 0.7219 loss_cls_pseudo: 0.001394 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4819 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6629 time: 1.6174 last_time: 1.4435 data_time: 0.0076 last_data_time: 0.0114 lr: 0.02 max_mem: 14768M +[04/11 04:35:54] d2.utils.events INFO: eta: 7:04:03 iter: 33919 total_loss: 1.985 loss_cls: 0.006712 loss_box_reg: 0.01746 loss_rpn_cls: 0.0734 loss_rpn_loc: 0.00119 loss_D_img_s: 0.6652 loss_cls_pseudo: 0.0009437 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4989 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.715 time: 1.6174 last_time: 1.6852 data_time: 0.0083 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 04:36:27] d2.utils.events INFO: eta: 7:03:34 iter: 33939 total_loss: 1.837 loss_cls: 0.006255 loss_box_reg: 0.02328 loss_rpn_cls: 0.03714 loss_rpn_loc: 0.001394 loss_D_img_s: 0.6719 loss_cls_pseudo: 0.001838 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.37 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7166 time: 1.6173 last_time: 1.7262 data_time: 0.0087 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 04:36:58] d2.utils.events INFO: eta: 7:03:04 iter: 33959 total_loss: 1.92 loss_cls: 0.009367 loss_box_reg: 0.01771 loss_rpn_cls: 0.07239 loss_rpn_loc: 0.001157 loss_D_img_s: 0.7034 loss_cls_pseudo: 0.001011 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.367 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6652 time: 1.6173 last_time: 1.5740 data_time: 0.0079 last_data_time: 0.0101 lr: 0.02 max_mem: 14768M +[04/11 04:37:30] d2.utils.events INFO: eta: 7:02:43 iter: 33979 total_loss: 2.033 loss_cls: 0.006823 loss_box_reg: 0.01509 loss_rpn_cls: 0.1159 loss_rpn_loc: 0.0009309 loss_D_img_s: 0.7003 loss_cls_pseudo: 0.00106 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5032 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.697 time: 1.6172 last_time: 1.4445 data_time: 0.0079 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 04:38:02] d2.data.common INFO: Serializing the dataset using: +[04/11 04:38:02] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 04:38:02] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 04:38:02] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 04:38:02] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 04:38:03] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0036 s/iter. Inference: 0.0535 s/iter. Eval: 0.0002 s/iter. Total: 0.0573 s/iter. ETA=0:00:22 +[04/11 04:38:08] d2.evaluation.evaluator INFO: Inference done 78/410. Dataloading: 0.0169 s/iter. Inference: 0.0565 s/iter. Eval: 0.0002 s/iter. Total: 0.0736 s/iter. ETA=0:00:24 +[04/11 04:38:13] d2.evaluation.evaluator INFO: Inference done 156/410. Dataloading: 0.0122 s/iter. Inference: 0.0563 s/iter. Eval: 0.0002 s/iter. Total: 0.0688 s/iter. ETA=0:00:17 +[04/11 04:38:18] d2.evaluation.evaluator INFO: Inference done 230/410. Dataloading: 0.0117 s/iter. Inference: 0.0566 s/iter. Eval: 0.0002 s/iter. Total: 0.0686 s/iter. ETA=0:00:12 +[04/11 04:38:23] d2.evaluation.evaluator INFO: Inference done 312/410. Dataloading: 0.0105 s/iter. Inference: 0.0559 s/iter. Eval: 0.0002 s/iter. Total: 0.0667 s/iter. ETA=0:00:06 +[04/11 04:38:28] d2.evaluation.evaluator INFO: Inference done 391/410. Dataloading: 0.0099 s/iter. Inference: 0.0559 s/iter. Eval: 0.0002 s/iter. Total: 0.0661 s/iter. ETA=0:00:01 +[04/11 04:38:29] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.756129 (0.066065 s / iter per device, on 1 devices) +[04/11 04:38:29] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.055837 s / iter per device, on 1 devices) +[04/11 04:38:29] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 04:38:29] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 04:38:29] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 04:38:29] d2.evaluation.testing INFO: copypaste: 9.0097,27.1029,1.6077 +[04/11 04:38:29] d2.data.common INFO: Serializing the dataset using: +[04/11 04:38:29] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 04:38:29] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 04:38:29] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 04:38:29] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 04:38:33] d2.evaluation.evaluator INFO: Inference done 46/410. Dataloading: 0.0112 s/iter. Inference: 0.0548 s/iter. Eval: 0.0002 s/iter. Total: 0.0663 s/iter. ETA=0:00:24 +[04/11 04:38:38] d2.evaluation.evaluator INFO: Inference done 115/410. Dataloading: 0.0155 s/iter. Inference: 0.0552 s/iter. Eval: 0.0003 s/iter. Total: 0.0710 s/iter. ETA=0:00:20 +[04/11 04:38:43] d2.evaluation.evaluator INFO: Inference done 187/410. Dataloading: 0.0126 s/iter. Inference: 0.0576 s/iter. Eval: 0.0003 s/iter. Total: 0.0706 s/iter. ETA=0:00:15 +[04/11 04:38:48] d2.evaluation.evaluator INFO: Inference done 264/410. Dataloading: 0.0116 s/iter. Inference: 0.0571 s/iter. Eval: 0.0003 s/iter. Total: 0.0691 s/iter. ETA=0:00:10 +[04/11 04:38:53] d2.evaluation.evaluator INFO: Inference done 343/410. Dataloading: 0.0110 s/iter. Inference: 0.0564 s/iter. Eval: 0.0002 s/iter. Total: 0.0678 s/iter. ETA=0:00:04 +[04/11 04:38:57] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.992800 (0.066649 s / iter per device, on 1 devices) +[04/11 04:38:57] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.055940 s / iter per device, on 1 devices) +[04/11 04:38:57] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 04:38:57] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 04:38:57] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 04:38:57] d2.evaluation.testing INFO: copypaste: 2.5830,7.9540,0.2024 +[04/11 04:38:57] d2.utils.events INFO: eta: 7:02:04 iter: 33999 total_loss: 1.729 loss_cls: 0.008906 loss_box_reg: 0.01986 loss_rpn_cls: 0.02946 loss_rpn_loc: 0.0009996 loss_D_img_s: 0.6827 loss_cls_pseudo: 0.0006427 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2513 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7042 time: 1.6171 last_time: 1.5980 data_time: 0.0083 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 04:39:29] d2.utils.events INFO: eta: 7:01:31 iter: 34019 total_loss: 1.85 loss_cls: 0.008325 loss_box_reg: 0.01829 loss_rpn_cls: 0.0198 loss_rpn_loc: 0.001181 loss_D_img_s: 0.6881 loss_cls_pseudo: 0.001321 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3714 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6984 time: 1.6170 last_time: 1.5862 data_time: 0.0077 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 04:40:01] d2.utils.events INFO: eta: 7:01:00 iter: 34039 total_loss: 1.961 loss_cls: 0.009922 loss_box_reg: 0.01723 loss_rpn_cls: 0.04676 loss_rpn_loc: 0.001167 loss_D_img_s: 0.6945 loss_cls_pseudo: 0.001608 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5068 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6802 time: 1.6170 last_time: 1.5380 data_time: 0.0079 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 04:40:33] d2.utils.events INFO: eta: 7:00:24 iter: 34059 total_loss: 1.855 loss_cls: 0.006611 loss_box_reg: 0.01656 loss_rpn_cls: 0.03129 loss_rpn_loc: 0.001139 loss_D_img_s: 0.7032 loss_cls_pseudo: 0.0007202 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3835 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6631 time: 1.6169 last_time: 1.5361 data_time: 0.0078 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 04:41:05] d2.utils.events INFO: eta: 6:59:51 iter: 34079 total_loss: 1.746 loss_cls: 0.01152 loss_box_reg: 0.01749 loss_rpn_cls: 0.05704 loss_rpn_loc: 0.001148 loss_D_img_s: 0.6829 loss_cls_pseudo: 0.0009904 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2285 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 1.6169 last_time: 1.6734 data_time: 0.0076 last_data_time: 0.0101 lr: 0.02 max_mem: 14768M +[04/11 04:41:37] d2.utils.events INFO: eta: 6:59:23 iter: 34099 total_loss: 2.095 loss_cls: 0.01245 loss_box_reg: 0.01961 loss_rpn_cls: 0.1301 loss_rpn_loc: 0.001552 loss_D_img_s: 0.7072 loss_cls_pseudo: 0.0008224 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5352 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6625 time: 1.6168 last_time: 1.6340 data_time: 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loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7465 time: 1.6151 last_time: 1.5544 data_time: 0.0076 last_data_time: 0.0113 lr: 0.02 max_mem: 14768M +[04/11 04:59:07] d2.utils.events INFO: eta: 6:41:58 iter: 34759 total_loss: 1.989 loss_cls: 0.01013 loss_box_reg: 0.01464 loss_rpn_cls: 0.1719 loss_rpn_loc: 0.00127 loss_D_img_s: 0.7218 loss_cls_pseudo: 0.001286 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.39 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6626 time: 1.6150 last_time: 1.5016 data_time: 0.0082 last_data_time: 0.0097 lr: 0.02 max_mem: 14768M +[04/11 04:59:38] d2.utils.events INFO: eta: 6:41:44 iter: 34779 total_loss: 1.999 loss_cls: 0.009731 loss_box_reg: 0.0229 loss_rpn_cls: 0.04539 loss_rpn_loc: 0.001036 loss_D_img_s: 0.6803 loss_cls_pseudo: 0.001296 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5142 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7088 time: 1.6150 last_time: 1.5865 data_time: 0.0087 last_data_time: 0.0099 lr: 0.02 max_mem: 14768M +[04/11 05:00:10] d2.utils.events INFO: eta: 6:40:54 iter: 34799 total_loss: 1.7 loss_cls: 0.01059 loss_box_reg: 0.01978 loss_rpn_cls: 0.04091 loss_rpn_loc: 0.00122 loss_D_img_s: 0.6819 loss_cls_pseudo: 0.0009057 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2137 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6978 time: 1.6149 last_time: 1.5520 data_time: 0.0078 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 05:00:42] d2.utils.events INFO: eta: 6:40:41 iter: 34819 total_loss: 1.99 loss_cls: 0.01034 loss_box_reg: 0.01351 loss_rpn_cls: 0.1135 loss_rpn_loc: 0.001006 loss_D_img_s: 0.7449 loss_cls_pseudo: 0.000955 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5171 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6334 time: 1.6148 last_time: 1.4747 data_time: 0.0085 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 05:01:14] d2.utils.events INFO: eta: 6:39:47 iter: 34839 total_loss: 1.975 loss_cls: 0.01176 loss_box_reg: 0.02006 loss_rpn_cls: 0.1108 loss_rpn_loc: 0.001205 loss_D_img_s: 0.7113 loss_cls_pseudo: 0.001517 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4946 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6745 time: 1.6148 last_time: 1.5240 data_time: 0.0075 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 05:01:46] d2.utils.events INFO: eta: 6:39:50 iter: 34859 total_loss: 1.959 loss_cls: 0.008299 loss_box_reg: 0.01792 loss_rpn_cls: 0.03904 loss_rpn_loc: 0.0012 loss_D_img_s: 0.6542 loss_cls_pseudo: 0.001014 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.507 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7515 time: 1.6148 last_time: 1.5207 data_time: 0.0086 last_data_time: 0.0098 lr: 0.02 max_mem: 14768M +[04/11 05:02:18] d2.utils.events INFO: eta: 6:39:13 iter: 34879 total_loss: 1.997 loss_cls: 0.005417 loss_box_reg: 0.01859 loss_rpn_cls: 0.09818 loss_rpn_loc: 0.001121 loss_D_img_s: 0.6604 loss_cls_pseudo: 0.0007746 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4913 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7339 time: 1.6148 last_time: 1.5837 data_time: 0.0084 last_data_time: 0.0131 lr: 0.02 max_mem: 14768M +[04/11 05:02:51] d2.utils.events INFO: eta: 6:38:47 iter: 34899 total_loss: 1.949 loss_cls: 0.00768 loss_box_reg: 0.02109 loss_rpn_cls: 0.02248 loss_rpn_loc: 0.001322 loss_D_img_s: 0.6329 loss_cls_pseudo: 0.0008393 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5173 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7561 time: 1.6148 last_time: 2.0025 data_time: 0.0083 last_data_time: 0.0097 lr: 0.02 max_mem: 14768M +[04/11 05:03:22] d2.utils.events INFO: eta: 6:38:09 iter: 34919 total_loss: 1.853 loss_cls: 0.006334 loss_box_reg: 0.01572 loss_rpn_cls: 0.04967 loss_rpn_loc: 0.001163 loss_D_img_s: 0.6989 loss_cls_pseudo: 0.0004035 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2813 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6874 time: 1.6147 last_time: 1.6639 data_time: 0.0075 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 05:03:54] d2.utils.events INFO: eta: 6:37:34 iter: 34939 total_loss: 1.933 loss_cls: 0.006722 loss_box_reg: 0.02105 loss_rpn_cls: 0.04155 loss_rpn_loc: 0.001137 loss_D_img_s: 0.6892 loss_cls_pseudo: 0.001134 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4921 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6839 time: 1.6147 last_time: 1.5922 data_time: 0.0083 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 05:04:27] d2.utils.events INFO: eta: 6:37:03 iter: 34959 total_loss: 1.906 loss_cls: 0.007924 loss_box_reg: 0.01738 loss_rpn_cls: 0.05288 loss_rpn_loc: 0.001116 loss_D_img_s: 0.6777 loss_cls_pseudo: 0.001681 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4938 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6673 time: 1.6147 last_time: 1.3966 data_time: 0.0082 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 05:04:58] d2.utils.events INFO: eta: 6:36:19 iter: 34979 total_loss: 1.713 loss_cls: 0.006935 loss_box_reg: 0.01737 loss_rpn_cls: 0.03884 loss_rpn_loc: 0.001098 loss_D_img_s: 0.6869 loss_cls_pseudo: 0.0009848 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2309 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6774 time: 1.6147 last_time: 1.5061 data_time: 0.0079 last_data_time: 0.0083 lr: 0.02 max_mem: 14768M +[04/11 05:05:31] fvcore.common.checkpoint INFO: Saving checkpoint to /DATA/Rajes/Research/output_cat/bmp_rti/model_0034999.pth +[04/11 05:05:32] d2.data.common INFO: Serializing the dataset using: +[04/11 05:05:32] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 05:05:32] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 05:05:32] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 05:05:32] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 05:05:33] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0102 s/iter. Inference: 0.0592 s/iter. Eval: 0.0001 s/iter. Total: 0.0696 s/iter. ETA=0:00:27 +[04/11 05:05:38] d2.evaluation.evaluator INFO: Inference done 77/410. Dataloading: 0.0162 s/iter. Inference: 0.0596 s/iter. Eval: 0.0002 s/iter. Total: 0.0760 s/iter. ETA=0:00:25 +[04/11 05:05:43] d2.evaluation.evaluator INFO: Inference done 153/410. Dataloading: 0.0121 s/iter. Inference: 0.0583 s/iter. Eval: 0.0002 s/iter. Total: 0.0708 s/iter. ETA=0:00:18 +[04/11 05:05:48] d2.evaluation.evaluator INFO: Inference done 222/410. Dataloading: 0.0117 s/iter. Inference: 0.0596 s/iter. Eval: 0.0002 s/iter. Total: 0.0716 s/iter. ETA=0:00:13 +[04/11 05:05:53] d2.evaluation.evaluator INFO: Inference done 296/410. Dataloading: 0.0120 s/iter. Inference: 0.0585 s/iter. Eval: 0.0002 s/iter. Total: 0.0708 s/iter. ETA=0:00:08 +[04/11 05:05:58] d2.evaluation.evaluator INFO: Inference done 375/410. Dataloading: 0.0110 s/iter. Inference: 0.0579 s/iter. Eval: 0.0002 s/iter. Total: 0.0692 s/iter. ETA=0:00:02 +[04/11 05:06:00] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.706681 (0.068412 s / iter per device, on 1 devices) +[04/11 05:06:00] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057493 s / iter per device, on 1 devices) +[04/11 05:06:00] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 05:06:00] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 05:06:00] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 05:06:00] d2.evaluation.testing INFO: copypaste: 12.0261,33.1865,3.1056 +[04/11 05:06:00] d2.data.common INFO: Serializing the dataset using: +[04/11 05:06:00] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 05:06:00] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 05:06:00] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 05:06:00] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 05:06:03] d2.evaluation.evaluator INFO: Inference done 33/410. Dataloading: 0.0152 s/iter. Inference: 0.0549 s/iter. Eval: 0.0002 s/iter. Total: 0.0704 s/iter. ETA=0:00:26 +[04/11 05:06:08] d2.evaluation.evaluator INFO: Inference done 105/410. Dataloading: 0.0118 s/iter. Inference: 0.0576 s/iter. Eval: 0.0002 s/iter. Total: 0.0697 s/iter. ETA=0:00:21 +[04/11 05:06:13] d2.evaluation.evaluator INFO: Inference done 179/410. Dataloading: 0.0106 s/iter. Inference: 0.0579 s/iter. Eval: 0.0002 s/iter. Total: 0.0689 s/iter. ETA=0:00:15 +[04/11 05:06:18] d2.evaluation.evaluator INFO: Inference done 256/410. Dataloading: 0.0093 s/iter. Inference: 0.0581 s/iter. Eval: 0.0002 s/iter. Total: 0.0677 s/iter. ETA=0:00:10 +[04/11 05:06:23] d2.evaluation.evaluator INFO: Inference done 329/410. Dataloading: 0.0089 s/iter. Inference: 0.0587 s/iter. Eval: 0.0002 s/iter. Total: 0.0679 s/iter. ETA=0:00:05 +[04/11 05:06:28] d2.evaluation.evaluator INFO: Inference done 407/410. Dataloading: 0.0085 s/iter. Inference: 0.0585 s/iter. Eval: 0.0002 s/iter. Total: 0.0673 s/iter. ETA=0:00:00 +[04/11 05:06:28] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.270059 (0.067333 s / iter per device, on 1 devices) +[04/11 05:06:28] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.058419 s / iter per device, on 1 devices) +[04/11 05:06:29] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 05:06:29] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 05:06:29] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 05:06:29] d2.evaluation.testing INFO: copypaste: 6.0642,18.4852,1.1985 +[04/11 05:06:29] d2.utils.events INFO: eta: 6:35:50 iter: 34999 total_loss: 1.777 loss_cls: 0.006717 loss_box_reg: 0.01809 loss_rpn_cls: 0.03108 loss_rpn_loc: 0.0009486 loss_D_img_s: 0.7119 loss_cls_pseudo: 0.0005623 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2091 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6794 time: 1.6146 last_time: 1.5917 data_time: 0.0078 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 05:07:00] d2.utils.events INFO: eta: 6:35:28 iter: 35019 total_loss: 1.939 loss_cls: 0.01491 loss_box_reg: 0.01689 loss_rpn_cls: 0.06171 loss_rpn_loc: 0.001458 loss_D_img_s: 0.7309 loss_cls_pseudo: 0.0003988 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2796 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6332 time: 1.6146 last_time: 1.5811 data_time: 0.0081 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 05:07:32] d2.utils.events INFO: eta: 6:34:33 iter: 35039 total_loss: 1.972 loss_cls: 0.01605 loss_box_reg: 0.0191 loss_rpn_cls: 0.1008 loss_rpn_loc: 0.001854 loss_D_img_s: 0.6982 loss_cls_pseudo: 0.002876 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5191 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6745 time: 1.6145 last_time: 1.6905 data_time: 0.0099 last_data_time: 0.0241 lr: 0.02 max_mem: 14768M +[04/11 05:08:04] d2.utils.events INFO: eta: 6:34:22 iter: 35059 total_loss: 1.776 loss_cls: 0.01156 loss_box_reg: 0.02732 loss_rpn_cls: 0.04598 loss_rpn_loc: 0.001346 loss_D_img_s: 0.6545 loss_cls_pseudo: 0.002766 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2437 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.686 time: 1.6145 last_time: 1.6104 data_time: 0.0080 last_data_time: 0.0088 lr: 0.02 max_mem: 14768M +[04/11 05:08:37] d2.utils.events INFO: eta: 6:33:36 iter: 35079 total_loss: 1.849 loss_cls: 0.0106 loss_box_reg: 0.02227 loss_rpn_cls: 0.03962 loss_rpn_loc: 0.001118 loss_D_img_s: 0.7041 loss_cls_pseudo: 0.001951 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5014 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6721 time: 1.6146 last_time: 1.7187 data_time: 0.0082 last_data_time: 0.0096 lr: 0.02 max_mem: 14768M +[04/11 05:09:09] d2.utils.events INFO: eta: 6:33:05 iter: 35099 total_loss: 1.848 loss_cls: 0.009017 loss_box_reg: 0.01726 loss_rpn_cls: 0.03101 loss_rpn_loc: 0.001003 loss_D_img_s: 0.7713 loss_cls_pseudo: 0.0007552 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3747 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6252 time: 1.6145 last_time: 1.5026 data_time: 0.0079 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 05:09:41] d2.utils.events INFO: eta: 6:32:17 iter: 35119 total_loss: 1.661 loss_cls: 0.006094 loss_box_reg: 0.02004 loss_rpn_cls: 0.01454 loss_rpn_loc: 0.001021 loss_D_img_s: 0.7037 loss_cls_pseudo: 0.001006 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2105 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.67 time: 1.6145 last_time: 1.6741 data_time: 0.0083 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 05:10:13] d2.utils.events INFO: eta: 6:31:35 iter: 35139 total_loss: 2.002 loss_cls: 0.01147 loss_box_reg: 0.02298 loss_rpn_cls: 0.1073 loss_rpn_loc: 0.001462 loss_D_img_s: 0.7204 loss_cls_pseudo: 0.0006617 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4928 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6488 time: 1.6145 last_time: 1.5930 data_time: 0.0079 last_data_time: 0.0110 lr: 0.02 max_mem: 14768M +[04/11 05:10:44] d2.utils.events INFO: eta: 6:30:56 iter: 35159 total_loss: 1.988 loss_cls: 0.008936 loss_box_reg: 0.0158 loss_rpn_cls: 0.0626 loss_rpn_loc: 0.001106 loss_D_img_s: 0.6792 loss_cls_pseudo: 0.001311 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5191 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7031 time: 1.6143 last_time: 1.6621 data_time: 0.0079 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 05:11:15] d2.utils.events INFO: eta: 6:30:21 iter: 35179 total_loss: 1.945 loss_cls: 0.00973 loss_box_reg: 0.01686 loss_rpn_cls: 0.07231 loss_rpn_loc: 0.0009528 loss_D_img_s: 0.6813 loss_cls_pseudo: 0.001053 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4826 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6801 time: 1.6143 last_time: 1.4902 data_time: 0.0075 last_data_time: 0.0129 lr: 0.02 max_mem: 14768M +[04/11 05:11:47] d2.utils.events INFO: eta: 6:29:55 iter: 35199 total_loss: 1.926 loss_cls: 0.005946 loss_box_reg: 0.01678 loss_rpn_cls: 0.09354 loss_rpn_loc: 0.001086 loss_D_img_s: 0.7219 loss_cls_pseudo: 0.002291 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3008 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6561 time: 1.6142 last_time: 1.4670 data_time: 0.0082 last_data_time: 0.0060 lr: 0.02 max_mem: 14768M +[04/11 05:12:19] d2.utils.events INFO: eta: 6:29:18 iter: 35219 total_loss: 1.955 loss_cls: 0.006872 loss_box_reg: 0.01831 loss_rpn_cls: 0.04168 loss_rpn_loc: 0.0009342 loss_D_img_s: 0.6404 loss_cls_pseudo: 0.00151 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5382 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7527 time: 1.6141 last_time: 1.5671 data_time: 0.0084 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 05:12:51] d2.utils.events INFO: eta: 6:28:49 iter: 35239 total_loss: 1.99 loss_cls: 0.01051 loss_box_reg: 0.01654 loss_rpn_cls: 0.1013 loss_rpn_loc: 0.001127 loss_D_img_s: 0.7247 loss_cls_pseudo: 0.0006747 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5034 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6538 time: 1.6141 last_time: 1.6174 data_time: 0.0088 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 05:13:23] d2.utils.events INFO: eta: 6:28:09 iter: 35259 total_loss: 1.717 loss_cls: 0.009271 loss_box_reg: 0.0167 loss_rpn_cls: 0.03519 loss_rpn_loc: 0.001234 loss_D_img_s: 0.688 loss_cls_pseudo: 0.0008482 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2505 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6829 time: 1.6141 last_time: 1.5828 data_time: 0.0090 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 05:13:55] d2.utils.events INFO: eta: 6:27:39 iter: 35279 total_loss: 1.641 loss_cls: 0.008955 loss_box_reg: 0.02309 loss_rpn_cls: 0.01732 loss_rpn_loc: 0.0009966 loss_D_img_s: 0.6754 loss_cls_pseudo: 0.003466 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.143 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6938 time: 1.6141 last_time: 1.7773 data_time: 0.0081 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 05:14:28] d2.utils.events INFO: eta: 6:27:15 iter: 35299 total_loss: 1.835 loss_cls: 0.006044 loss_box_reg: 0.01333 loss_rpn_cls: 0.04009 loss_rpn_loc: 0.001005 loss_D_img_s: 0.7045 loss_cls_pseudo: 0.001621 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4043 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6711 time: 1.6141 last_time: 1.5018 data_time: 0.0079 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 05:15:00] d2.utils.events INFO: eta: 6:26:34 iter: 35319 total_loss: 1.66 loss_cls: 0.01044 loss_box_reg: 0.01842 loss_rpn_cls: 0.01444 loss_rpn_loc: 0.00143 loss_D_img_s: 0.6281 loss_cls_pseudo: 0.0009691 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2053 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.781 time: 1.6141 last_time: 1.6047 data_time: 0.0083 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 05:15:31] d2.utils.events INFO: eta: 6:26:05 iter: 35339 total_loss: 1.877 loss_cls: 0.009811 loss_box_reg: 0.02247 loss_rpn_cls: 0.03294 loss_rpn_loc: 0.001252 loss_D_img_s: 0.6861 loss_cls_pseudo: 0.001374 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3792 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6939 time: 1.6140 last_time: 1.5513 data_time: 0.0081 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 05:16:04] d2.utils.events INFO: eta: 6:25:31 iter: 35359 total_loss: 1.761 loss_cls: 0.01049 loss_box_reg: 0.01697 loss_rpn_cls: 0.03868 loss_rpn_loc: 0.001113 loss_D_img_s: 0.6451 loss_cls_pseudo: 0.001157 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2679 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6676 time: 1.6140 last_time: 1.4982 data_time: 0.0082 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 05:16:35] d2.utils.events INFO: eta: 6:24:57 iter: 35379 total_loss: 1.895 loss_cls: 0.007349 loss_box_reg: 0.0202 loss_rpn_cls: 0.02048 loss_rpn_loc: 0.001161 loss_D_img_s: 0.6609 loss_cls_pseudo: 0.001062 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4777 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 1.6140 last_time: 1.8557 data_time: 0.0079 last_data_time: 0.0103 lr: 0.02 max_mem: 14768M +[04/11 05:17:07] d2.utils.events INFO: eta: 6:24:20 iter: 35399 total_loss: 1.916 loss_cls: 0.009374 loss_box_reg: 0.0225 loss_rpn_cls: 0.01289 loss_rpn_loc: 0.001198 loss_D_img_s: 0.7516 loss_cls_pseudo: 0.001224 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4865 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6484 time: 1.6139 last_time: 1.6490 data_time: 0.0086 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 05:17:39] d2.utils.events INFO: eta: 6:23:47 iter: 35419 total_loss: 1.984 loss_cls: 0.01225 loss_box_reg: 0.02351 loss_rpn_cls: 0.03566 loss_rpn_loc: 0.001345 loss_D_img_s: 0.7512 loss_cls_pseudo: 0.0009362 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.492 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6301 time: 1.6138 last_time: 1.4442 data_time: 0.0081 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 05:18:10] d2.utils.events INFO: eta: 6:23:13 iter: 35439 total_loss: 2.015 loss_cls: 0.008022 loss_box_reg: 0.02102 loss_rpn_cls: 0.1373 loss_rpn_loc: 0.001759 loss_D_img_s: 0.7159 loss_cls_pseudo: 0.001117 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4889 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6704 time: 1.6138 last_time: 1.4219 data_time: 0.0076 last_data_time: 0.0061 lr: 0.02 max_mem: 14768M +[04/11 05:18:42] d2.utils.events INFO: eta: 6:22:26 iter: 35459 total_loss: 1.878 loss_cls: 0.0104 loss_box_reg: 0.02116 loss_rpn_cls: 0.08783 loss_rpn_loc: 0.001186 loss_D_img_s: 0.6791 loss_cls_pseudo: 0.001133 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3534 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7104 time: 1.6137 last_time: 1.4834 data_time: 0.0072 last_data_time: 0.0059 lr: 0.02 max_mem: 14768M +[04/11 05:19:14] d2.utils.events INFO: eta: 6:21:50 iter: 35479 total_loss: 2.1 loss_cls: 0.01039 loss_box_reg: 0.0209 loss_rpn_cls: 0.1479 loss_rpn_loc: 0.001191 loss_D_img_s: 0.7063 loss_cls_pseudo: 0.0005403 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5013 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6782 time: 1.6137 last_time: 1.5120 data_time: 0.0086 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 05:19:46] d2.utils.events INFO: eta: 6:21:16 iter: 35499 total_loss: 1.94 loss_cls: 0.008568 loss_box_reg: 0.02271 loss_rpn_cls: 0.06236 loss_rpn_loc: 0.001138 loss_D_img_s: 0.6576 loss_cls_pseudo: 0.0007962 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4949 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.754 time: 1.6137 last_time: 1.6305 data_time: 0.0076 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 05:20:18] d2.utils.events INFO: eta: 6:20:46 iter: 35519 total_loss: 1.979 loss_cls: 0.01331 loss_box_reg: 0.02443 loss_rpn_cls: 0.105 loss_rpn_loc: 0.001498 loss_D_img_s: 0.6708 loss_cls_pseudo: 0.00199 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.481 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7086 time: 1.6136 last_time: 1.5375 data_time: 0.0087 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 05:20:49] d2.utils.events INFO: eta: 6:20:13 iter: 35539 total_loss: 2.009 loss_cls: 0.01134 loss_box_reg: 0.02076 loss_rpn_cls: 0.1726 loss_rpn_loc: 0.001161 loss_D_img_s: 0.7141 loss_cls_pseudo: 0.003017 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4847 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6686 time: 1.6136 last_time: 1.5599 data_time: 0.0081 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 05:21:21] d2.utils.events INFO: eta: 6:19:42 iter: 35559 total_loss: 1.759 loss_cls: 0.009563 loss_box_reg: 0.0194 loss_rpn_cls: 0.06638 loss_rpn_loc: 0.001143 loss_D_img_s: 0.6929 loss_cls_pseudo: 0.001299 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1946 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6789 time: 1.6135 last_time: 1.6884 data_time: 0.0091 last_data_time: 0.0110 lr: 0.02 max_mem: 14768M +[04/11 05:21:53] d2.utils.events INFO: eta: 6:19:09 iter: 35579 total_loss: 1.695 loss_cls: 0.007272 loss_box_reg: 0.01578 loss_rpn_cls: 0.09521 loss_rpn_loc: 0.001085 loss_D_img_s: 0.7104 loss_cls_pseudo: 0.001477 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1931 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6601 time: 1.6135 last_time: 1.5990 data_time: 0.0086 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 05:22:25] d2.utils.events INFO: eta: 6:18:35 iter: 35599 total_loss: 1.845 loss_cls: 0.007152 loss_box_reg: 0.01473 loss_rpn_cls: 0.04733 loss_rpn_loc: 0.001127 loss_D_img_s: 0.6975 loss_cls_pseudo: 0.001145 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3603 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.688 time: 1.6134 last_time: 1.6139 data_time: 0.0083 last_data_time: 0.0116 lr: 0.02 max_mem: 14768M +[04/11 05:22:56] d2.utils.events INFO: eta: 6:17:36 iter: 35619 total_loss: 2.038 loss_cls: 0.00701 loss_box_reg: 0.01562 loss_rpn_cls: 0.06153 loss_rpn_loc: 0.001104 loss_D_img_s: 0.6714 loss_cls_pseudo: 0.001417 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5343 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7107 time: 1.6134 last_time: 1.6279 data_time: 0.0082 last_data_time: 0.0096 lr: 0.02 max_mem: 14768M +[04/11 05:23:29] d2.utils.events INFO: eta: 6:17:23 iter: 35639 total_loss: 1.948 loss_cls: 0.005817 loss_box_reg: 0.01429 loss_rpn_cls: 0.07506 loss_rpn_loc: 0.001112 loss_D_img_s: 0.6721 loss_cls_pseudo: 0.0008629 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5023 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6814 time: 1.6133 last_time: 1.7519 data_time: 0.0082 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 05:24:00] d2.utils.events INFO: eta: 6:17:00 iter: 35659 total_loss: 1.86 loss_cls: 0.007692 loss_box_reg: 0.02116 loss_rpn_cls: 0.03372 loss_rpn_loc: 0.001106 loss_D_img_s: 0.7261 loss_cls_pseudo: 0.00179 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5069 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6342 time: 1.6133 last_time: 1.5477 data_time: 0.0080 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 05:24:32] d2.utils.events INFO: eta: 6:16:28 iter: 35679 total_loss: 1.923 loss_cls: 0.006429 loss_box_reg: 0.01689 loss_rpn_cls: 0.05197 loss_rpn_loc: 0.001123 loss_D_img_s: 0.757 loss_cls_pseudo: 0.0004455 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4789 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6444 time: 1.6133 last_time: 1.5441 data_time: 0.0073 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 05:25:04] d2.utils.events INFO: eta: 6:15:58 iter: 35699 total_loss: 1.842 loss_cls: 0.005671 loss_box_reg: 0.01482 loss_rpn_cls: 0.07916 loss_rpn_loc: 0.001028 loss_D_img_s: 0.6712 loss_cls_pseudo: 0.001336 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2629 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7217 time: 1.6132 last_time: 1.5571 data_time: 0.0079 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 05:25:36] d2.utils.events INFO: eta: 6:15:19 iter: 35719 total_loss: 1.774 loss_cls: 0.006104 loss_box_reg: 0.01403 loss_rpn_cls: 0.02882 loss_rpn_loc: 0.0009572 loss_D_img_s: 0.6604 loss_cls_pseudo: 0.002096 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2087 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7003 time: 1.6132 last_time: 1.5113 data_time: 0.0086 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 05:26:07] d2.utils.events INFO: eta: 6:14:34 iter: 35739 total_loss: 1.873 loss_cls: 0.006711 loss_box_reg: 0.01818 loss_rpn_cls: 0.02272 loss_rpn_loc: 0.0009389 loss_D_img_s: 0.6452 loss_cls_pseudo: 0.002237 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4869 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6868 time: 1.6130 last_time: 1.5445 data_time: 0.0076 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 05:26:38] d2.utils.events INFO: eta: 6:14:16 iter: 35759 total_loss: 1.983 loss_cls: 0.007357 loss_box_reg: 0.01271 loss_rpn_cls: 0.08975 loss_rpn_loc: 0.001181 loss_D_img_s: 0.7304 loss_cls_pseudo: 0.001947 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5177 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6151 time: 1.6130 last_time: 1.4485 data_time: 0.0081 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 05:27:11] d2.utils.events INFO: eta: 6:13:45 iter: 35779 total_loss: 1.935 loss_cls: 0.004594 loss_box_reg: 0.01592 loss_rpn_cls: 0.08231 loss_rpn_loc: 0.001247 loss_D_img_s: 0.6635 loss_cls_pseudo: 0.002262 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4666 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7136 time: 1.6130 last_time: 1.5177 data_time: 0.0077 last_data_time: 0.0089 lr: 0.02 max_mem: 14768M +[04/11 05:27:43] d2.utils.events INFO: eta: 6:12:59 iter: 35799 total_loss: 1.582 loss_cls: 0.008764 loss_box_reg: 0.01693 loss_rpn_cls: 0.02092 loss_rpn_loc: 0.001105 loss_D_img_s: 0.6763 loss_cls_pseudo: 0.00163 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2537 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6677 time: 1.6130 last_time: 1.5584 data_time: 0.0083 last_data_time: 0.0058 lr: 0.02 max_mem: 14768M +[04/11 05:28:15] d2.utils.events INFO: eta: 6:12:22 iter: 35819 total_loss: 1.921 loss_cls: 0.007782 loss_box_reg: 0.01877 loss_rpn_cls: 0.024 loss_rpn_loc: 0.001181 loss_D_img_s: 0.7111 loss_cls_pseudo: 0.0007896 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4955 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6571 time: 1.6130 last_time: 1.5148 data_time: 0.0082 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 05:28:46] d2.utils.events INFO: eta: 6:11:30 iter: 35839 total_loss: 1.934 loss_cls: 0.007242 loss_box_reg: 0.01634 loss_rpn_cls: 0.04827 loss_rpn_loc: 0.00114 loss_D_img_s: 0.7341 loss_cls_pseudo: 0.0005033 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4749 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.671 time: 1.6129 last_time: 1.6805 data_time: 0.0078 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 05:29:18] d2.utils.events INFO: eta: 6:10:28 iter: 35859 total_loss: 1.785 loss_cls: 0.004428 loss_box_reg: 0.01878 loss_rpn_cls: 0.02632 loss_rpn_loc: 0.001249 loss_D_img_s: 0.6604 loss_cls_pseudo: 0.001328 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2583 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7451 time: 1.6128 last_time: 1.5062 data_time: 0.0084 last_data_time: 0.0119 lr: 0.02 max_mem: 14768M +[04/11 05:29:49] d2.utils.events INFO: eta: 6:09:56 iter: 35879 total_loss: 1.659 loss_cls: 0.006064 loss_box_reg: 0.01599 loss_rpn_cls: 0.01953 loss_rpn_loc: 0.001301 loss_D_img_s: 0.6512 loss_cls_pseudo: 0.001222 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2105 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6873 time: 1.6127 last_time: 1.5628 data_time: 0.0076 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 05:30:21] d2.utils.events INFO: eta: 6:09:15 iter: 35899 total_loss: 1.705 loss_cls: 0.00613 loss_box_reg: 0.01555 loss_rpn_cls: 0.03296 loss_rpn_loc: 0.00129 loss_D_img_s: 0.695 loss_cls_pseudo: 0.00135 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2103 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.683 time: 1.6127 last_time: 1.3955 data_time: 0.0075 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 05:30:53] d2.utils.events INFO: eta: 6:08:43 iter: 35919 total_loss: 1.976 loss_cls: 0.008044 loss_box_reg: 0.01676 loss_rpn_cls: 0.04725 loss_rpn_loc: 0.00119 loss_D_img_s: 0.7196 loss_cls_pseudo: 0.003175 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5056 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6582 time: 1.6126 last_time: 1.5485 data_time: 0.0083 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 05:31:25] d2.utils.events INFO: eta: 6:08:14 iter: 35939 total_loss: 1.821 loss_cls: 0.007602 loss_box_reg: 0.01477 loss_rpn_cls: 0.03734 loss_rpn_loc: 0.001492 loss_D_img_s: 0.653 loss_cls_pseudo: 0.00169 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2968 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.74 time: 1.6126 last_time: 1.4799 data_time: 0.0079 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 05:31:57] d2.utils.events INFO: eta: 6:07:43 iter: 35959 total_loss: 1.926 loss_cls: 0.006351 loss_box_reg: 0.01426 loss_rpn_cls: 0.04682 loss_rpn_loc: 0.0008805 loss_D_img_s: 0.6989 loss_cls_pseudo: 0.0009826 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3847 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6765 time: 1.6126 last_time: 1.5736 data_time: 0.0072 last_data_time: 0.0059 lr: 0.02 max_mem: 14768M +[04/11 05:32:28] d2.utils.events INFO: eta: 6:07:09 iter: 35979 total_loss: 1.952 loss_cls: 0.004327 loss_box_reg: 0.01432 loss_rpn_cls: 0.07802 loss_rpn_loc: 0.001122 loss_D_img_s: 0.6792 loss_cls_pseudo: 0.0005982 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.504 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7101 time: 1.6125 last_time: 1.5560 data_time: 0.0080 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 05:33:00] d2.data.common INFO: Serializing the dataset using: +[04/11 05:33:00] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 05:33:00] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 05:33:00] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 05:33:00] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 05:33:01] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0206 s/iter. Inference: 0.0504 s/iter. Eval: 0.0001 s/iter. Total: 0.0712 s/iter. ETA=0:00:28 +[04/11 05:33:06] d2.evaluation.evaluator INFO: Inference done 83/410. Dataloading: 0.0127 s/iter. Inference: 0.0569 s/iter. Eval: 0.0002 s/iter. Total: 0.0698 s/iter. ETA=0:00:22 +[04/11 05:33:11] d2.evaluation.evaluator INFO: Inference done 160/410. Dataloading: 0.0113 s/iter. Inference: 0.0560 s/iter. Eval: 0.0002 s/iter. Total: 0.0675 s/iter. ETA=0:00:16 +[04/11 05:33:16] d2.evaluation.evaluator INFO: Inference done 244/410. Dataloading: 0.0100 s/iter. Inference: 0.0545 s/iter. Eval: 0.0002 s/iter. Total: 0.0648 s/iter. ETA=0:00:10 +[04/11 05:33:21] d2.evaluation.evaluator INFO: Inference done 325/410. Dataloading: 0.0099 s/iter. Inference: 0.0540 s/iter. Eval: 0.0002 s/iter. Total: 0.0642 s/iter. ETA=0:00:05 +[04/11 05:33:26] d2.evaluation.evaluator INFO: Inference done 403/410. Dataloading: 0.0098 s/iter. Inference: 0.0542 s/iter. Eval: 0.0002 s/iter. Total: 0.0643 s/iter. ETA=0:00:00 +[04/11 05:33:27] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.062767 (0.064353 s / iter per device, on 1 devices) +[04/11 05:33:27] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:21 (0.054211 s / iter per device, on 1 devices) +[04/11 05:33:27] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 05:33:27] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 05:33:27] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 05:33:27] d2.evaluation.testing INFO: copypaste: 9.9014,27.2277,2.3711 +[04/11 05:33:27] d2.data.common INFO: Serializing the dataset using: +[04/11 05:33:27] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 05:33:27] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 05:33:27] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 05:33:27] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 05:33:31] d2.evaluation.evaluator INFO: Inference done 59/410. Dataloading: 0.0085 s/iter. Inference: 0.0574 s/iter. Eval: 0.0002 s/iter. Total: 0.0661 s/iter. ETA=0:00:23 +[04/11 05:33:36] d2.evaluation.evaluator INFO: Inference done 138/410. Dataloading: 0.0082 s/iter. Inference: 0.0562 s/iter. Eval: 0.0002 s/iter. Total: 0.0647 s/iter. ETA=0:00:17 +[04/11 05:33:41] d2.evaluation.evaluator INFO: Inference done 217/410. Dataloading: 0.0072 s/iter. Inference: 0.0570 s/iter. Eval: 0.0002 s/iter. Total: 0.0645 s/iter. ETA=0:00:12 +[04/11 05:33:46] d2.evaluation.evaluator INFO: Inference done 292/410. Dataloading: 0.0066 s/iter. Inference: 0.0583 s/iter. Eval: 0.0002 s/iter. Total: 0.0652 s/iter. ETA=0:00:07 +[04/11 05:33:51] d2.evaluation.evaluator INFO: Inference done 370/410. Dataloading: 0.0067 s/iter. Inference: 0.0581 s/iter. Eval: 0.0002 s/iter. Total: 0.0651 s/iter. ETA=0:00:02 +[04/11 05:33:54] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.306232 (0.064954 s / iter per device, on 1 devices) +[04/11 05:33:54] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057690 s / iter per device, on 1 devices) +[04/11 05:33:54] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 05:33:54] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 05:33:54] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 05:33:54] d2.evaluation.testing INFO: copypaste: 4.6819,14.1241,1.1283 +[04/11 05:33:54] d2.utils.events INFO: eta: 6:06:34 iter: 35999 total_loss: 1.88 loss_cls: 0.005803 loss_box_reg: 0.01574 loss_rpn_cls: 0.04256 loss_rpn_loc: 0.001189 loss_D_img_s: 0.6572 loss_cls_pseudo: 0.000398 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4851 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7391 time: 1.6125 last_time: 1.5150 data_time: 0.0079 last_data_time: 0.0061 lr: 0.02 max_mem: 14768M +[04/11 05:34:26] d2.utils.events INFO: eta: 6:05:58 iter: 36019 total_loss: 1.822 loss_cls: 0.006578 loss_box_reg: 0.0159 loss_rpn_cls: 0.03893 loss_rpn_loc: 0.0009649 loss_D_img_s: 0.6993 loss_cls_pseudo: 0.0009257 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3794 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6917 time: 1.6124 last_time: 1.5857 data_time: 0.0077 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 05:34:57] d2.utils.events INFO: eta: 6:05:31 iter: 36039 total_loss: 1.904 loss_cls: 0.006515 loss_box_reg: 0.01515 loss_rpn_cls: 0.01312 loss_rpn_loc: 0.001168 loss_D_img_s: 0.7113 loss_cls_pseudo: 0.001545 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4879 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6704 time: 1.6123 last_time: 1.6842 data_time: 0.0080 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 05:35:29] d2.utils.events INFO: eta: 6:04:56 iter: 36059 total_loss: 1.677 loss_cls: 0.009368 loss_box_reg: 0.01846 loss_rpn_cls: 0.01615 loss_rpn_loc: 0.001284 loss_D_img_s: 0.7095 loss_cls_pseudo: 0.001084 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2249 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6748 time: 1.6123 last_time: 1.5857 data_time: 0.0070 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 05:36:00] d2.utils.events INFO: eta: 6:04:14 iter: 36079 total_loss: 1.798 loss_cls: 0.00717 loss_box_reg: 0.015 loss_rpn_cls: 0.07497 loss_rpn_loc: 0.00137 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.0007879 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2714 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6969 time: 1.6122 last_time: 1.5742 data_time: 0.0077 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 05:36:32] d2.utils.events INFO: eta: 6:03:34 iter: 36099 total_loss: 2.003 loss_cls: 0.004826 loss_box_reg: 0.0155 loss_rpn_cls: 0.05278 loss_rpn_loc: 0.001075 loss_D_img_s: 0.6866 loss_cls_pseudo: 0.0008224 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.476 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 1.6121 last_time: 1.5754 data_time: 0.0076 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 05:37:03] d2.utils.events INFO: eta: 6:03:04 iter: 36119 total_loss: 1.937 loss_cls: 0.006008 loss_box_reg: 0.01616 loss_rpn_cls: 0.06621 loss_rpn_loc: 0.001241 loss_D_img_s: 0.6839 loss_cls_pseudo: 0.0008627 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4941 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6884 time: 1.6120 last_time: 1.4568 data_time: 0.0077 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 05:37:35] d2.utils.events INFO: eta: 6:02:47 iter: 36139 total_loss: 1.84 loss_cls: 0.00696 loss_box_reg: 0.01629 loss_rpn_cls: 0.05037 loss_rpn_loc: 0.0009999 loss_D_img_s: 0.6773 loss_cls_pseudo: 0.0008785 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3662 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6998 time: 1.6120 last_time: 1.5378 data_time: 0.0081 last_data_time: 0.0109 lr: 0.02 max_mem: 14768M +[04/11 05:38:06] d2.utils.events INFO: eta: 6:02:16 iter: 36159 total_loss: 1.91 loss_cls: 0.006524 loss_box_reg: 0.01517 loss_rpn_cls: 0.04281 loss_rpn_loc: 0.001073 loss_D_img_s: 0.6899 loss_cls_pseudo: 0.0007905 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4782 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6974 time: 1.6119 last_time: 1.4969 data_time: 0.0084 last_data_time: 0.0083 lr: 0.02 max_mem: 14768M +[04/11 05:38:37] d2.utils.events INFO: eta: 6:01:47 iter: 36179 total_loss: 1.728 loss_cls: 0.006317 loss_box_reg: 0.01874 loss_rpn_cls: 0.02087 loss_rpn_loc: 0.0009241 loss_D_img_s: 0.6709 loss_cls_pseudo: 0.0009661 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2922 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7064 time: 1.6118 last_time: 1.4890 data_time: 0.0078 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 05:39:09] d2.utils.events INFO: eta: 6:01:16 iter: 36199 total_loss: 1.814 loss_cls: 0.009377 loss_box_reg: 0.01836 loss_rpn_cls: 0.04138 loss_rpn_loc: 0.001175 loss_D_img_s: 0.7053 loss_cls_pseudo: 0.0006894 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3151 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6852 time: 1.6118 last_time: 1.5162 data_time: 0.0079 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 05:39:41] d2.utils.events INFO: eta: 6:00:44 iter: 36219 total_loss: 1.918 loss_cls: 0.007338 loss_box_reg: 0.01407 loss_rpn_cls: 0.1007 loss_rpn_loc: 0.00135 loss_D_img_s: 0.7039 loss_cls_pseudo: 0.001998 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3237 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6867 time: 1.6117 last_time: 1.7267 data_time: 0.0077 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 05:40:12] d2.utils.events INFO: eta: 6:00:00 iter: 36239 total_loss: 1.917 loss_cls: 0.0086 loss_box_reg: 0.0168 loss_rpn_cls: 0.03132 loss_rpn_loc: 0.001351 loss_D_img_s: 0.6834 loss_cls_pseudo: 0.001046 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5056 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6783 time: 1.6116 last_time: 1.6189 data_time: 0.0083 last_data_time: 0.0172 lr: 0.02 max_mem: 14768M +[04/11 05:40:43] d2.utils.events INFO: eta: 5:59:26 iter: 36259 total_loss: 1.834 loss_cls: 0.005576 loss_box_reg: 0.01433 loss_rpn_cls: 0.03326 loss_rpn_loc: 0.001243 loss_D_img_s: 0.6751 loss_cls_pseudo: 0.0006456 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4818 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6734 time: 1.6116 last_time: 1.5941 data_time: 0.0073 last_data_time: 0.0059 lr: 0.02 max_mem: 14768M +[04/11 05:41:15] d2.utils.events INFO: eta: 5:58:54 iter: 36279 total_loss: 1.837 loss_cls: 0.008207 loss_box_reg: 0.0193 loss_rpn_cls: 0.01308 loss_rpn_loc: 0.00121 loss_D_img_s: 0.749 loss_cls_pseudo: 0.0005128 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3575 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.673 time: 1.6115 last_time: 1.6227 data_time: 0.0071 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 05:41:47] d2.utils.events INFO: eta: 5:58:22 iter: 36299 total_loss: 1.986 loss_cls: 0.006699 loss_box_reg: 0.01904 loss_rpn_cls: 0.02257 loss_rpn_loc: 0.00111 loss_D_img_s: 0.6951 loss_cls_pseudo: 0.001693 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5102 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6844 time: 1.6115 last_time: 1.5374 data_time: 0.0082 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 05:42:19] d2.utils.events INFO: eta: 5:57:49 iter: 36319 total_loss: 1.844 loss_cls: 0.008489 loss_box_reg: 0.02017 loss_rpn_cls: 0.08157 loss_rpn_loc: 0.001379 loss_D_img_s: 0.6976 loss_cls_pseudo: 0.001856 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2982 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6986 time: 1.6115 last_time: 1.5050 data_time: 0.0075 last_data_time: 0.0083 lr: 0.02 max_mem: 14768M +[04/11 05:42:50] d2.utils.events INFO: eta: 5:57:08 iter: 36339 total_loss: 2.035 loss_cls: 0.00794 loss_box_reg: 0.01878 loss_rpn_cls: 0.04074 loss_rpn_loc: 0.001088 loss_D_img_s: 0.6622 loss_cls_pseudo: 0.002658 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5224 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6873 time: 1.6114 last_time: 1.5744 data_time: 0.0080 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 05:43:22] d2.utils.events INFO: eta: 5:56:36 iter: 36359 total_loss: 1.783 loss_cls: 0.006707 loss_box_reg: 0.01582 loss_rpn_cls: 0.0191 loss_rpn_loc: 0.001171 loss_D_img_s: 0.6808 loss_cls_pseudo: 0.0008502 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2686 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6757 time: 1.6114 last_time: 1.6050 data_time: 0.0076 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 05:43:54] d2.utils.events INFO: eta: 5:56:12 iter: 36379 total_loss: 1.59 loss_cls: 0.009575 loss_box_reg: 0.01994 loss_rpn_cls: 0.01242 loss_rpn_loc: 0.001229 loss_D_img_s: 0.7239 loss_cls_pseudo: 0.001577 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1689 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6374 time: 1.6113 last_time: 1.5464 data_time: 0.0083 last_data_time: 0.0172 lr: 0.02 max_mem: 14768M +[04/11 05:44:26] d2.utils.events INFO: eta: 5:55:41 iter: 36399 total_loss: 1.958 loss_cls: 0.007965 loss_box_reg: 0.01935 loss_rpn_cls: 0.05809 loss_rpn_loc: 0.001157 loss_D_img_s: 0.6952 loss_cls_pseudo: 0.001669 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.496 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.65 time: 1.6113 last_time: 1.6049 data_time: 0.0074 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 05:44:58] d2.utils.events INFO: eta: 5:55:13 iter: 36419 total_loss: 1.733 loss_cls: 0.00911 loss_box_reg: 0.0166 loss_rpn_cls: 0.06032 loss_rpn_loc: 0.001069 loss_D_img_s: 0.6511 loss_cls_pseudo: 0.001266 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1813 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7634 time: 1.6112 last_time: 1.3814 data_time: 0.0075 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 05:45:29] d2.utils.events INFO: eta: 5:54:25 iter: 36439 total_loss: 1.942 loss_cls: 0.009175 loss_box_reg: 0.01759 loss_rpn_cls: 0.03357 loss_rpn_loc: 0.001187 loss_D_img_s: 0.7334 loss_cls_pseudo: 0.000729 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.492 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.682 time: 1.6111 last_time: 1.5939 data_time: 0.0081 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 05:46:00] d2.utils.events INFO: eta: 5:54:02 iter: 36459 total_loss: 1.882 loss_cls: 0.008474 loss_box_reg: 0.01807 loss_rpn_cls: 0.05528 loss_rpn_loc: 0.001143 loss_D_img_s: 0.692 loss_cls_pseudo: 0.002289 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2466 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.697 time: 1.6111 last_time: 1.5946 data_time: 0.0079 last_data_time: 0.0097 lr: 0.02 max_mem: 14768M +[04/11 05:46:32] d2.utils.events INFO: eta: 5:53:22 iter: 36479 total_loss: 1.94 loss_cls: 0.01421 loss_box_reg: 0.0132 loss_rpn_cls: 0.1702 loss_rpn_loc: 0.001444 loss_D_img_s: 0.6781 loss_cls_pseudo: 0.0009574 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3828 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7037 time: 1.6110 last_time: 1.4831 data_time: 0.0075 last_data_time: 0.0060 lr: 0.02 max_mem: 14768M +[04/11 05:47:04] d2.utils.events INFO: eta: 5:52:35 iter: 36499 total_loss: 1.944 loss_cls: 0.01498 loss_box_reg: 0.01836 loss_rpn_cls: 0.08494 loss_rpn_loc: 0.001463 loss_D_img_s: 0.7153 loss_cls_pseudo: 0.001546 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3764 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6712 time: 1.6110 last_time: 1.7267 data_time: 0.0082 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 05:47:35] d2.utils.events INFO: eta: 5:51:43 iter: 36519 total_loss: 1.799 loss_cls: 0.007209 loss_box_reg: 0.02051 loss_rpn_cls: 0.05072 loss_rpn_loc: 0.001187 loss_D_img_s: 0.6871 loss_cls_pseudo: 0.0006457 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3615 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6663 time: 1.6109 last_time: 1.5323 data_time: 0.0076 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 05:48:07] d2.utils.events INFO: eta: 5:51:55 iter: 36539 total_loss: 1.89 loss_cls: 0.007241 loss_box_reg: 0.01404 loss_rpn_cls: 0.09843 loss_rpn_loc: 0.001305 loss_D_img_s: 0.6847 loss_cls_pseudo: 0.0008952 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.391 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 1.6109 last_time: 1.6737 data_time: 0.0079 last_data_time: 0.0059 lr: 0.02 max_mem: 14768M +[04/11 05:48:40] d2.utils.events INFO: eta: 5:51:24 iter: 36559 total_loss: 1.959 loss_cls: 0.006415 loss_box_reg: 0.01934 loss_rpn_cls: 0.02495 loss_rpn_loc: 0.001141 loss_D_img_s: 0.688 loss_cls_pseudo: 0.0005554 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5082 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7081 time: 1.6109 last_time: 1.5903 data_time: 0.0078 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 05:49:11] d2.utils.events INFO: eta: 5:50:41 iter: 36579 total_loss: 1.977 loss_cls: 0.008029 loss_box_reg: 0.01582 loss_rpn_cls: 0.07483 loss_rpn_loc: 0.001401 loss_D_img_s: 0.7107 loss_cls_pseudo: 0.00064 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3995 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6789 time: 1.6109 last_time: 1.6274 data_time: 0.0080 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 05:49:43] d2.utils.events INFO: eta: 5:50:32 iter: 36599 total_loss: 1.924 loss_cls: 0.007102 loss_box_reg: 0.01364 loss_rpn_cls: 0.0283 loss_rpn_loc: 0.001045 loss_D_img_s: 0.6646 loss_cls_pseudo: 0.002038 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4897 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6977 time: 1.6109 last_time: 1.5889 data_time: 0.0082 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 05:50:15] d2.utils.events INFO: eta: 5:49:59 iter: 36619 total_loss: 1.736 loss_cls: 0.005462 loss_box_reg: 0.01666 loss_rpn_cls: 0.0217 loss_rpn_loc: 0.001 loss_D_img_s: 0.6752 loss_cls_pseudo: 0.0006693 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2685 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6909 time: 1.6108 last_time: 1.5533 data_time: 0.0079 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 05:50:47] d2.utils.events INFO: eta: 5:49:24 iter: 36639 total_loss: 1.861 loss_cls: 0.004694 loss_box_reg: 0.01809 loss_rpn_cls: 0.04525 loss_rpn_loc: 0.001424 loss_D_img_s: 0.695 loss_cls_pseudo: 0.0004526 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3756 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7045 time: 1.6107 last_time: 1.5398 data_time: 0.0077 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 05:51:19] d2.utils.events INFO: eta: 5:48:53 iter: 36659 total_loss: 1.645 loss_cls: 0.006033 loss_box_reg: 0.01836 loss_rpn_cls: 0.01345 loss_rpn_loc: 0.001366 loss_D_img_s: 0.6351 loss_cls_pseudo: 0.0007345 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1556 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7869 time: 1.6108 last_time: 1.5991 data_time: 0.0080 last_data_time: 0.0059 lr: 0.02 max_mem: 14768M +[04/11 05:51:50] d2.utils.events INFO: eta: 5:48:14 iter: 36679 total_loss: 1.769 loss_cls: 0.006392 loss_box_reg: 0.0152 loss_rpn_cls: 0.02598 loss_rpn_loc: 0.00106 loss_D_img_s: 0.6938 loss_cls_pseudo: 0.001227 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3816 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6831 time: 1.6107 last_time: 1.7476 data_time: 0.0079 last_data_time: 0.0104 lr: 0.02 max_mem: 14768M +[04/11 05:52:22] d2.utils.events INFO: eta: 5:47:43 iter: 36699 total_loss: 1.818 loss_cls: 0.008511 loss_box_reg: 0.0165 loss_rpn_cls: 0.009074 loss_rpn_loc: 0.001493 loss_D_img_s: 0.6989 loss_cls_pseudo: 0.001194 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3938 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7065 time: 1.6107 last_time: 1.6409 data_time: 0.0083 last_data_time: 0.0113 lr: 0.02 max_mem: 14768M +[04/11 05:52:54] d2.utils.events INFO: eta: 5:47:24 iter: 36719 total_loss: 2.017 loss_cls: 0.008851 loss_box_reg: 0.01807 loss_rpn_cls: 0.09259 loss_rpn_loc: 0.001599 loss_D_img_s: 0.7325 loss_cls_pseudo: 0.001001 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4899 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6387 time: 1.6106 last_time: 1.6319 data_time: 0.0077 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 05:53:26] d2.utils.events INFO: eta: 5:46:59 iter: 36739 total_loss: 1.923 loss_cls: 0.008956 loss_box_reg: 0.01954 loss_rpn_cls: 0.02198 loss_rpn_loc: 0.00122 loss_D_img_s: 0.6577 loss_cls_pseudo: 0.001033 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4988 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7555 time: 1.6106 last_time: 1.5875 data_time: 0.0082 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 05:53:58] d2.utils.events INFO: eta: 5:46:34 iter: 36759 total_loss: 1.792 loss_cls: 0.008422 loss_box_reg: 0.01827 loss_rpn_cls: 0.03137 loss_rpn_loc: 0.001067 loss_D_img_s: 0.6993 loss_cls_pseudo: 0.0006769 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3022 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6824 time: 1.6106 last_time: 1.7725 data_time: 0.0080 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 05:54:29] d2.utils.events INFO: eta: 5:45:55 iter: 36779 total_loss: 1.956 loss_cls: 0.008687 loss_box_reg: 0.01507 loss_rpn_cls: 0.0675 loss_rpn_loc: 0.001298 loss_D_img_s: 0.7125 loss_cls_pseudo: 0.002144 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5068 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6681 time: 1.6105 last_time: 1.4998 data_time: 0.0077 last_data_time: 0.0059 lr: 0.02 max_mem: 14768M +[04/11 05:55:01] d2.utils.events INFO: eta: 5:45:39 iter: 36799 total_loss: 1.903 loss_cls: 0.01123 loss_box_reg: 0.01966 loss_rpn_cls: 0.06719 loss_rpn_loc: 0.001156 loss_D_img_s: 0.6876 loss_cls_pseudo: 0.001054 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4086 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6967 time: 1.6105 last_time: 1.6474 data_time: 0.0077 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 05:55:32] d2.utils.events INFO: eta: 5:44:56 iter: 36819 total_loss: 1.809 loss_cls: 0.00696 loss_box_reg: 0.01689 loss_rpn_cls: 0.03733 loss_rpn_loc: 0.001148 loss_D_img_s: 0.6542 loss_cls_pseudo: 0.001735 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.398 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.688 time: 1.6103 last_time: 1.5375 data_time: 0.0074 last_data_time: 0.0061 lr: 0.02 max_mem: 14768M +[04/11 05:56:03] d2.utils.events INFO: eta: 5:44:25 iter: 36839 total_loss: 1.876 loss_cls: 0.009105 loss_box_reg: 0.01939 loss_rpn_cls: 0.03995 loss_rpn_loc: 0.001212 loss_D_img_s: 0.7309 loss_cls_pseudo: 0.001232 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4688 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6313 time: 1.6103 last_time: 1.5346 data_time: 0.0073 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 05:56:35] d2.utils.events INFO: eta: 5:44:00 iter: 36859 total_loss: 1.897 loss_cls: 0.006773 loss_box_reg: 0.0153 loss_rpn_cls: 0.02365 loss_rpn_loc: 0.001085 loss_D_img_s: 0.6777 loss_cls_pseudo: 0.0009594 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4684 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6851 time: 1.6103 last_time: 1.6126 data_time: 0.0080 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 05:57:07] d2.utils.events INFO: eta: 5:43:26 iter: 36879 total_loss: 1.678 loss_cls: 0.00529 loss_box_reg: 0.01818 loss_rpn_cls: 0.02139 loss_rpn_loc: 0.001234 loss_D_img_s: 0.6836 loss_cls_pseudo: 0.0007963 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2303 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7075 time: 1.6102 last_time: 1.4751 data_time: 0.0084 last_data_time: 0.0115 lr: 0.02 max_mem: 14768M +[04/11 05:57:39] d2.utils.events INFO: eta: 5:43:03 iter: 36899 total_loss: 2.032 loss_cls: 0.009318 loss_box_reg: 0.01498 loss_rpn_cls: 0.1094 loss_rpn_loc: 0.001416 loss_D_img_s: 0.7507 loss_cls_pseudo: 0.0003562 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.466 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6463 time: 1.6102 last_time: 1.4192 data_time: 0.0088 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 05:58:11] d2.utils.events INFO: eta: 5:42:31 iter: 36919 total_loss: 1.946 loss_cls: 0.01377 loss_box_reg: 0.02035 loss_rpn_cls: 0.08585 loss_rpn_loc: 0.001726 loss_D_img_s: 0.653 loss_cls_pseudo: 0.001701 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4848 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7294 time: 1.6102 last_time: 1.6027 data_time: 0.0076 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 05:58:42] d2.utils.events INFO: eta: 5:41:55 iter: 36939 total_loss: 1.778 loss_cls: 0.0128 loss_box_reg: 0.02364 loss_rpn_cls: 0.05223 loss_rpn_loc: 0.001566 loss_D_img_s: 0.6884 loss_cls_pseudo: 0.00132 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2732 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7041 time: 1.6101 last_time: 1.4074 data_time: 0.0081 last_data_time: 0.0100 lr: 0.02 max_mem: 14768M +[04/11 05:59:14] d2.utils.events INFO: eta: 5:41:25 iter: 36959 total_loss: 1.999 loss_cls: 0.007845 loss_box_reg: 0.02246 loss_rpn_cls: 0.1084 loss_rpn_loc: 0.001441 loss_D_img_s: 0.7193 loss_cls_pseudo: 0.0006283 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4917 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6507 time: 1.6101 last_time: 1.5570 data_time: 0.0080 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 05:59:46] d2.utils.events INFO: eta: 5:41:00 iter: 36979 total_loss: 1.871 loss_cls: 0.00837 loss_box_reg: 0.02231 loss_rpn_cls: 0.03894 loss_rpn_loc: 0.001518 loss_D_img_s: 0.6866 loss_cls_pseudo: 0.0005648 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2824 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6927 time: 1.6100 last_time: 1.6531 data_time: 0.0081 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 06:00:18] d2.data.common INFO: Serializing the dataset using: +[04/11 06:00:18] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 06:00:18] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 06:00:18] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 06:00:18] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 06:00:19] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0417 s/iter. Inference: 0.0543 s/iter. Eval: 0.0002 s/iter. Total: 0.0961 s/iter. ETA=0:00:38 +[04/11 06:00:24] d2.evaluation.evaluator INFO: Inference done 80/410. Dataloading: 0.0153 s/iter. Inference: 0.0592 s/iter. Eval: 0.0002 s/iter. Total: 0.0748 s/iter. ETA=0:00:24 +[04/11 06:00:29] d2.evaluation.evaluator INFO: Inference done 155/410. Dataloading: 0.0124 s/iter. Inference: 0.0581 s/iter. Eval: 0.0002 s/iter. Total: 0.0709 s/iter. ETA=0:00:18 +[04/11 06:00:34] d2.evaluation.evaluator INFO: Inference done 230/410. Dataloading: 0.0112 s/iter. Inference: 0.0580 s/iter. Eval: 0.0002 s/iter. Total: 0.0695 s/iter. ETA=0:00:12 +[04/11 06:00:39] d2.evaluation.evaluator INFO: Inference done 304/410. Dataloading: 0.0111 s/iter. Inference: 0.0576 s/iter. Eval: 0.0002 s/iter. Total: 0.0691 s/iter. ETA=0:00:07 +[04/11 06:00:44] d2.evaluation.evaluator INFO: Inference done 375/410. Dataloading: 0.0102 s/iter. Inference: 0.0589 s/iter. Eval: 0.0002 s/iter. Total: 0.0695 s/iter. ETA=0:00:02 +[04/11 06:00:46] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.944557 (0.068999 s / iter per device, on 1 devices) +[04/11 06:00:46] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.058290 s / iter per device, on 1 devices) +[04/11 06:00:47] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 06:00:47] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 06:00:47] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 06:00:47] d2.evaluation.testing INFO: copypaste: 5.5109,13.8848,1.0717 +[04/11 06:00:47] d2.data.common INFO: Serializing the dataset using: +[04/11 06:00:47] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 06:00:47] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 06:00:47] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 06:00:47] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 06:00:49] d2.evaluation.evaluator INFO: Inference done 27/410. Dataloading: 0.0118 s/iter. Inference: 0.0680 s/iter. Eval: 0.0002 s/iter. Total: 0.0800 s/iter. ETA=0:00:30 +[04/11 06:00:54] d2.evaluation.evaluator INFO: Inference done 100/410. Dataloading: 0.0085 s/iter. Inference: 0.0629 s/iter. Eval: 0.0003 s/iter. Total: 0.0718 s/iter. ETA=0:00:22 +[04/11 06:00:59] d2.evaluation.evaluator INFO: Inference done 174/410. Dataloading: 0.0101 s/iter. Inference: 0.0596 s/iter. Eval: 0.0004 s/iter. Total: 0.0702 s/iter. ETA=0:00:16 +[04/11 06:01:04] d2.evaluation.evaluator INFO: Inference done 243/410. Dataloading: 0.0104 s/iter. Inference: 0.0603 s/iter. Eval: 0.0003 s/iter. Total: 0.0712 s/iter. ETA=0:00:11 +[04/11 06:01:09] d2.evaluation.evaluator INFO: Inference done 317/410. Dataloading: 0.0091 s/iter. Inference: 0.0609 s/iter. Eval: 0.0003 s/iter. Total: 0.0704 s/iter. ETA=0:00:06 +[04/11 06:01:14] d2.evaluation.evaluator INFO: Inference done 396/410. Dataloading: 0.0089 s/iter. Inference: 0.0599 s/iter. Eval: 0.0003 s/iter. Total: 0.0691 s/iter. ETA=0:00:00 +[04/11 06:01:15] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.920084 (0.068938 s / iter per device, on 1 devices) +[04/11 06:01:15] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:24 (0.059654 s / iter per device, on 1 devices) +[04/11 06:01:15] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 06:01:15] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 06:01:15] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 06:01:15] d2.evaluation.testing INFO: copypaste: 2.6270,8.5397,0.5042 +[04/11 06:01:15] d2.utils.events INFO: eta: 5:40:22 iter: 36999 total_loss: 1.738 loss_cls: 0.005602 loss_box_reg: 0.0164 loss_rpn_cls: 0.03025 loss_rpn_loc: 0.001363 loss_D_img_s: 0.6778 loss_cls_pseudo: 0.001721 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2154 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6891 time: 1.6100 last_time: 1.5544 data_time: 0.0078 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 06:01:47] d2.utils.events INFO: eta: 5:39:46 iter: 37019 total_loss: 1.687 loss_cls: 0.009526 loss_box_reg: 0.01846 loss_rpn_cls: 0.02599 loss_rpn_loc: 0.001197 loss_D_img_s: 0.6845 loss_cls_pseudo: 0.00204 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2223 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6936 time: 1.6099 last_time: 1.7077 data_time: 0.0086 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 06:02:18] d2.utils.events INFO: eta: 5:39:06 iter: 37039 total_loss: 1.585 loss_cls: 0.009025 loss_box_reg: 0.01999 loss_rpn_cls: 0.0104 loss_rpn_loc: 0.001459 loss_D_img_s: 0.689 loss_cls_pseudo: 0.001913 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.166 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6769 time: 1.6098 last_time: 1.6137 data_time: 0.0076 last_data_time: 0.0100 lr: 0.02 max_mem: 14768M +[04/11 06:02:49] d2.utils.events INFO: eta: 5:38:37 iter: 37059 total_loss: 1.87 loss_cls: 0.009567 loss_box_reg: 0.01727 loss_rpn_cls: 0.04943 loss_rpn_loc: 0.001388 loss_D_img_s: 0.741 loss_cls_pseudo: 0.001651 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3793 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6222 time: 1.6098 last_time: 1.6114 data_time: 0.0084 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 06:03:21] d2.utils.events INFO: eta: 5:38:04 iter: 37079 total_loss: 1.884 loss_cls: 0.00808 loss_box_reg: 0.01776 loss_rpn_cls: 0.04337 loss_rpn_loc: 0.001365 loss_D_img_s: 0.6514 loss_cls_pseudo: 0.001082 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.411 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7291 time: 1.6097 last_time: 1.6152 data_time: 0.0081 last_data_time: 0.0113 lr: 0.02 max_mem: 14768M +[04/11 06:03:53] d2.utils.events INFO: eta: 5:37:37 iter: 37099 total_loss: 1.941 loss_cls: 0.004869 loss_box_reg: 0.01645 loss_rpn_cls: 0.03847 loss_rpn_loc: 0.0009681 loss_D_img_s: 0.6957 loss_cls_pseudo: 0.0005652 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4921 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6817 time: 1.6097 last_time: 1.5688 data_time: 0.0085 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 06:04:24] d2.utils.events INFO: eta: 5:37:12 iter: 37119 total_loss: 2 loss_cls: 0.007808 loss_box_reg: 0.01661 loss_rpn_cls: 0.1174 loss_rpn_loc: 0.001201 loss_D_img_s: 0.6954 loss_cls_pseudo: 0.001338 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4666 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7012 time: 1.6096 last_time: 1.5940 data_time: 0.0076 last_data_time: 0.0110 lr: 0.02 max_mem: 14768M +[04/11 06:04:56] d2.utils.events INFO: eta: 5:36:29 iter: 37139 total_loss: 1.929 loss_cls: 0.009483 loss_box_reg: 0.01946 loss_rpn_cls: 0.03155 loss_rpn_loc: 0.001113 loss_D_img_s: 0.6749 loss_cls_pseudo: 0.001235 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4917 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6953 time: 1.6096 last_time: 1.4766 data_time: 0.0080 last_data_time: 0.0095 lr: 0.02 max_mem: 14768M +[04/11 06:05:27] d2.utils.events INFO: eta: 5:35:58 iter: 37159 total_loss: 1.74 loss_cls: 0.008394 loss_box_reg: 0.02101 loss_rpn_cls: 0.01969 loss_rpn_loc: 0.001082 loss_D_img_s: 0.6872 loss_cls_pseudo: 0.0006844 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2864 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6703 time: 1.6095 last_time: 1.5538 data_time: 0.0077 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 06:05:59] d2.utils.events INFO: eta: 5:35:26 iter: 37179 total_loss: 1.792 loss_cls: 0.009851 loss_box_reg: 0.01624 loss_rpn_cls: 0.01652 loss_rpn_loc: 0.0014 loss_D_img_s: 0.7119 loss_cls_pseudo: 0.0009754 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5009 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6318 time: 1.6095 last_time: 1.5590 data_time: 0.0088 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 06:06:31] d2.utils.events INFO: eta: 5:34:54 iter: 37199 total_loss: 1.952 loss_cls: 0.008989 loss_box_reg: 0.01597 loss_rpn_cls: 0.04715 loss_rpn_loc: 0.001302 loss_D_img_s: 0.7162 loss_cls_pseudo: 0.0005683 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4832 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.638 time: 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0 loss_D_img_t: 0.7139 time: 1.6091 last_time: 1.5226 data_time: 0.0084 last_data_time: 0.0089 lr: 0.02 max_mem: 14768M +[04/11 06:09:40] d2.utils.events INFO: eta: 5:31:46 iter: 37319 total_loss: 2.045 loss_cls: 0.01183 loss_box_reg: 0.02226 loss_rpn_cls: 0.03847 loss_rpn_loc: 0.001801 loss_D_img_s: 0.667 loss_cls_pseudo: 0.001572 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5993 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7168 time: 1.6091 last_time: 1.5824 data_time: 0.0083 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 06:10:11] d2.utils.events INFO: eta: 5:31:13 iter: 37339 total_loss: 2.002 loss_cls: 0.009555 loss_box_reg: 0.02121 loss_rpn_cls: 0.0523 loss_rpn_loc: 0.001344 loss_D_img_s: 0.6828 loss_cls_pseudo: 0.001001 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4874 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7113 time: 1.6090 last_time: 1.4617 data_time: 0.0077 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 06:10:42] d2.utils.events INFO: eta: 5:30:35 iter: 37359 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loss_rpn_cls_pseudo: 0.2234 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6774 time: 1.6088 last_time: 1.6450 data_time: 0.0088 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 06:12:16] d2.utils.events INFO: eta: 5:29:03 iter: 37419 total_loss: 1.73 loss_cls: 0.006765 loss_box_reg: 0.01686 loss_rpn_cls: 0.03716 loss_rpn_loc: 0.00109 loss_D_img_s: 0.6759 loss_cls_pseudo: 0.001948 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2201 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6966 time: 1.6087 last_time: 1.5276 data_time: 0.0079 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 06:12:48] d2.utils.events INFO: eta: 5:28:36 iter: 37439 total_loss: 1.646 loss_cls: 0.006688 loss_box_reg: 0.02032 loss_rpn_cls: 0.02608 loss_rpn_loc: 0.001112 loss_D_img_s: 0.7187 loss_cls_pseudo: 0.0009708 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1611 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6896 time: 1.6087 last_time: 1.6127 data_time: 0.0084 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 06:13:20] d2.utils.events INFO: eta: 5:28:04 iter: 37459 total_loss: 1.889 loss_cls: 0.008223 loss_box_reg: 0.02218 loss_rpn_cls: 0.02347 loss_rpn_loc: 0.001151 loss_D_img_s: 0.6863 loss_cls_pseudo: 0.0007702 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.387 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6828 time: 1.6087 last_time: 1.7017 data_time: 0.0095 last_data_time: 0.0102 lr: 0.02 max_mem: 14768M +[04/11 06:13:52] d2.utils.events INFO: eta: 5:27:35 iter: 37479 total_loss: 1.891 loss_cls: 0.006879 loss_box_reg: 0.01889 loss_rpn_cls: 0.02316 loss_rpn_loc: 0.001408 loss_D_img_s: 0.6817 loss_cls_pseudo: 0.001288 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4189 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7031 time: 1.6087 last_time: 1.4684 data_time: 0.0076 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 06:14:25] d2.utils.events INFO: eta: 5:27:05 iter: 37499 total_loss: 1.885 loss_cls: 0.01038 loss_box_reg: 0.02109 loss_rpn_cls: 0.01146 loss_rpn_loc: 0.001118 loss_D_img_s: 0.6518 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loss_rpn_cls_pseudo: 0.4919 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6972 time: 1.6078 last_time: 1.5501 data_time: 0.0082 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 06:23:52] d2.utils.events INFO: eta: 5:17:06 iter: 37859 total_loss: 1.807 loss_cls: 0.008419 loss_box_reg: 0.01507 loss_rpn_cls: 0.04457 loss_rpn_loc: 0.001277 loss_D_img_s: 0.6028 loss_cls_pseudo: 0.0006145 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3575 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7878 time: 1.6078 last_time: 1.5529 data_time: 0.0079 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 06:24:24] d2.utils.events INFO: eta: 5:16:42 iter: 37879 total_loss: 1.707 loss_cls: 0.007217 loss_box_reg: 0.01396 loss_rpn_cls: 0.03309 loss_rpn_loc: 0.001093 loss_D_img_s: 0.7097 loss_cls_pseudo: 0.0006457 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1654 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7081 time: 1.6077 last_time: 1.5672 data_time: 0.0074 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 06:24:55] d2.utils.events INFO: eta: 5:16:00 iter: 37899 total_loss: 1.777 loss_cls: 0.007004 loss_box_reg: 0.01673 loss_rpn_cls: 0.01946 loss_rpn_loc: 0.001149 loss_D_img_s: 0.6854 loss_cls_pseudo: 0.0005436 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3744 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6659 time: 1.6077 last_time: 1.5188 data_time: 0.0081 last_data_time: 0.0083 lr: 0.02 max_mem: 14768M +[04/11 06:25:27] d2.utils.events INFO: eta: 5:15:28 iter: 37919 total_loss: 1.923 loss_cls: 0.007562 loss_box_reg: 0.01452 loss_rpn_cls: 0.06538 loss_rpn_loc: 0.0009608 loss_D_img_s: 0.7415 loss_cls_pseudo: 0.001019 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4837 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.633 time: 1.6076 last_time: 1.5551 data_time: 0.0086 last_data_time: 0.0180 lr: 0.02 max_mem: 14768M +[04/11 06:25:59] d2.utils.events INFO: eta: 5:14:54 iter: 37939 total_loss: 1.74 loss_cls: 0.005235 loss_box_reg: 0.01735 loss_rpn_cls: 0.03301 loss_rpn_loc: 0.00116 loss_D_img_s: 0.7017 loss_cls_pseudo: 0.0004588 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2064 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7092 time: 1.6076 last_time: 1.6400 data_time: 0.0076 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 06:26:30] d2.utils.events INFO: eta: 5:14:13 iter: 37959 total_loss: 1.951 loss_cls: 0.006622 loss_box_reg: 0.01399 loss_rpn_cls: 0.06043 loss_rpn_loc: 0.001132 loss_D_img_s: 0.7011 loss_cls_pseudo: 0.001302 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4802 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6902 time: 1.6076 last_time: 1.5864 data_time: 0.0076 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 06:27:01] d2.utils.events INFO: eta: 5:13:26 iter: 37979 total_loss: 1.944 loss_cls: 0.008016 loss_box_reg: 0.01477 loss_rpn_cls: 0.04755 loss_rpn_loc: 0.001259 loss_D_img_s: 0.6892 loss_cls_pseudo: 0.0009915 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4974 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6947 time: 1.6075 last_time: 1.4669 data_time: 0.0072 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 06:27:33] d2.data.common INFO: Serializing the dataset using: +[04/11 06:27:33] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 06:27:33] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 06:27:33] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 06:27:33] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 06:27:35] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0022 s/iter. Inference: 0.0573 s/iter. Eval: 0.0001 s/iter. Total: 0.0597 s/iter. ETA=0:00:23 +[04/11 06:27:40] d2.evaluation.evaluator INFO: Inference done 80/410. Dataloading: 0.0150 s/iter. Inference: 0.0562 s/iter. Eval: 0.0002 s/iter. Total: 0.0714 s/iter. ETA=0:00:23 +[04/11 06:27:45] d2.evaluation.evaluator INFO: Inference done 152/410. Dataloading: 0.0142 s/iter. Inference: 0.0561 s/iter. Eval: 0.0002 s/iter. Total: 0.0706 s/iter. ETA=0:00:18 +[04/11 06:27:50] d2.evaluation.evaluator INFO: Inference done 228/410. Dataloading: 0.0123 s/iter. Inference: 0.0570 s/iter. Eval: 0.0002 s/iter. Total: 0.0695 s/iter. ETA=0:00:12 +[04/11 06:27:55] d2.evaluation.evaluator INFO: Inference done 300/410. Dataloading: 0.0129 s/iter. Inference: 0.0564 s/iter. Eval: 0.0002 s/iter. Total: 0.0696 s/iter. ETA=0:00:07 +[04/11 06:28:00] d2.evaluation.evaluator INFO: Inference done 374/410. Dataloading: 0.0126 s/iter. Inference: 0.0566 s/iter. Eval: 0.0002 s/iter. Total: 0.0695 s/iter. ETA=0:00:02 +[04/11 06:28:02] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.940517 (0.068989 s / iter per device, on 1 devices) +[04/11 06:28:02] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.056738 s / iter per device, on 1 devices) +[04/11 06:28:02] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 06:28:02] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 06:28:02] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 06:28:02] d2.evaluation.testing INFO: copypaste: 6.9380,21.1064,2.6320 +[04/11 06:28:02] d2.data.common INFO: Serializing the dataset using: +[04/11 06:28:02] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 06:28:02] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 06:28:02] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 06:28:02] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 06:28:05] d2.evaluation.evaluator INFO: Inference done 32/410. Dataloading: 0.0117 s/iter. Inference: 0.0578 s/iter. Eval: 0.0003 s/iter. Total: 0.0698 s/iter. ETA=0:00:26 +[04/11 06:28:10] d2.evaluation.evaluator INFO: Inference done 106/410. Dataloading: 0.0104 s/iter. Inference: 0.0579 s/iter. Eval: 0.0002 s/iter. Total: 0.0687 s/iter. ETA=0:00:20 +[04/11 06:28:15] d2.evaluation.evaluator INFO: Inference done 180/410. Dataloading: 0.0094 s/iter. Inference: 0.0586 s/iter. Eval: 0.0003 s/iter. Total: 0.0684 s/iter. ETA=0:00:15 +[04/11 06:28:20] d2.evaluation.evaluator INFO: Inference done 254/410. Dataloading: 0.0096 s/iter. Inference: 0.0582 s/iter. Eval: 0.0003 s/iter. Total: 0.0682 s/iter. ETA=0:00:10 +[04/11 06:28:25] d2.evaluation.evaluator INFO: Inference done 329/410. Dataloading: 0.0094 s/iter. Inference: 0.0584 s/iter. Eval: 0.0002 s/iter. Total: 0.0681 s/iter. ETA=0:00:05 +[04/11 06:28:30] d2.evaluation.evaluator INFO: Inference done 407/410. Dataloading: 0.0096 s/iter. Inference: 0.0574 s/iter. Eval: 0.0002 s/iter. Total: 0.0674 s/iter. ETA=0:00:00 +[04/11 06:28:30] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.344475 (0.067517 s / iter per device, on 1 devices) +[04/11 06:28:30] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057381 s / iter per device, on 1 devices) +[04/11 06:28:31] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 06:28:31] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 06:28:31] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 06:28:31] d2.evaluation.testing INFO: copypaste: 2.4102,10.2352,0.4866 +[04/11 06:28:31] d2.utils.events INFO: eta: 5:13:00 iter: 37999 total_loss: 1.921 loss_cls: 0.006355 loss_box_reg: 0.01454 loss_rpn_cls: 0.06029 loss_rpn_loc: 0.001148 loss_D_img_s: 0.7181 loss_cls_pseudo: 0.0003074 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4839 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6713 time: 1.6075 last_time: 2.0659 data_time: 0.0076 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 06:29:02] d2.utils.events INFO: eta: 5:12:39 iter: 38019 total_loss: 1.972 loss_cls: 0.009474 loss_box_reg: 0.01545 loss_rpn_cls: 0.04058 loss_rpn_loc: 0.00128 loss_D_img_s: 0.6695 loss_cls_pseudo: 0.0006565 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4756 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7003 time: 1.6074 last_time: 1.5703 data_time: 0.0080 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 06:29:34] d2.utils.events INFO: eta: 5:12:20 iter: 38039 total_loss: 1.912 loss_cls: 0.009282 loss_box_reg: 0.01861 loss_rpn_cls: 0.0156 loss_rpn_loc: 0.001468 loss_D_img_s: 0.6537 loss_cls_pseudo: 0.001111 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4755 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7233 time: 1.6074 last_time: 1.5477 data_time: 0.0082 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 06:30:05] d2.utils.events INFO: eta: 5:11:44 iter: 38059 total_loss: 2.001 loss_cls: 0.006362 loss_box_reg: 0.01442 loss_rpn_cls: 0.09376 loss_rpn_loc: 0.001135 loss_D_img_s: 0.7699 loss_cls_pseudo: 0.001215 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4341 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6205 time: 1.6073 last_time: 1.5927 data_time: 0.0076 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 06:30:37] d2.utils.events INFO: eta: 5:11:23 iter: 38079 total_loss: 1.657 loss_cls: 0.008481 loss_box_reg: 0.01653 loss_rpn_cls: 0.014 loss_rpn_loc: 0.001268 loss_D_img_s: 0.6672 loss_cls_pseudo: 0.001359 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1631 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.703 time: 1.6073 last_time: 1.5782 data_time: 0.0077 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 06:31:08] d2.utils.events INFO: eta: 5:10:34 iter: 38099 total_loss: 1.904 loss_cls: 0.006602 loss_box_reg: 0.01616 loss_rpn_cls: 0.05756 loss_rpn_loc: 0.001238 loss_D_img_s: 0.6908 loss_cls_pseudo: 0.001113 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3818 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.681 time: 1.6072 last_time: 1.6338 data_time: 0.0083 last_data_time: 0.0130 lr: 0.02 max_mem: 14768M +[04/11 06:31:40] d2.utils.events INFO: eta: 5:09:59 iter: 38119 total_loss: 1.925 loss_cls: 0.00728 loss_box_reg: 0.0181 loss_rpn_cls: 0.04114 loss_rpn_loc: 0.00117 loss_D_img_s: 0.6992 loss_cls_pseudo: 0.001744 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4827 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6833 time: 1.6072 last_time: 1.5552 data_time: 0.0078 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 06:32:12] d2.utils.events INFO: eta: 5:09:35 iter: 38139 total_loss: 1.923 loss_cls: 0.004155 loss_box_reg: 0.01392 loss_rpn_cls: 0.02956 loss_rpn_loc: 0.0009679 loss_D_img_s: 0.6744 loss_cls_pseudo: 0.001024 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5062 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.705 time: 1.6072 last_time: 1.5470 data_time: 0.0074 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 06:32:45] d2.utils.events INFO: eta: 5:09:12 iter: 38159 total_loss: 1.921 loss_cls: 0.007207 loss_box_reg: 0.01531 loss_rpn_cls: 0.0376 loss_rpn_loc: 0.0012 loss_D_img_s: 0.6836 loss_cls_pseudo: 0.0005411 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2829 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7126 time: 1.6072 last_time: 1.5462 data_time: 0.0076 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 06:33:17] d2.utils.events INFO: eta: 5:08:38 iter: 38179 total_loss: 1.794 loss_cls: 0.006122 loss_box_reg: 0.0127 loss_rpn_cls: 0.05842 loss_rpn_loc: 0.0009146 loss_D_img_s: 0.712 loss_cls_pseudo: 0.0006101 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2728 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6654 time: 1.6072 last_time: 1.9184 data_time: 0.0078 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 06:33:48] d2.utils.events INFO: eta: 5:08:14 iter: 38199 total_loss: 1.748 loss_cls: 0.008095 loss_box_reg: 0.01863 loss_rpn_cls: 0.03131 loss_rpn_loc: 0.00134 loss_D_img_s: 0.6975 loss_cls_pseudo: 0.0008309 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2334 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 1.6072 last_time: 1.5275 data_time: 0.0084 last_data_time: 0.0096 lr: 0.02 max_mem: 14768M +[04/11 06:34:20] d2.utils.events INFO: eta: 5:07:38 iter: 38219 total_loss: 1.97 loss_cls: 0.006358 loss_box_reg: 0.01509 loss_rpn_cls: 0.03038 loss_rpn_loc: 0.001173 loss_D_img_s: 0.6749 loss_cls_pseudo: 0.00226 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4912 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7042 time: 1.6071 last_time: 1.5325 data_time: 0.0081 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 06:34:52] d2.utils.events INFO: eta: 5:07:21 iter: 38239 total_loss: 1.843 loss_cls: 0.007653 loss_box_reg: 0.01824 loss_rpn_cls: 0.05887 loss_rpn_loc: 0.001108 loss_D_img_s: 0.7231 loss_cls_pseudo: 0.002254 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.252 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6569 time: 1.6071 last_time: 1.5626 data_time: 0.0082 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 06:35:24] d2.utils.events INFO: eta: 5:06:33 iter: 38259 total_loss: 1.777 loss_cls: 0.007989 loss_box_reg: 0.01667 loss_rpn_cls: 0.0212 loss_rpn_loc: 0.00119 loss_D_img_s: 0.697 loss_cls_pseudo: 0.0009572 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3245 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6756 time: 1.6071 last_time: 1.6718 data_time: 0.0073 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 06:35:55] d2.utils.events INFO: eta: 5:06:01 iter: 38279 total_loss: 1.967 loss_cls: 0.007979 loss_box_reg: 0.02021 loss_rpn_cls: 0.0242 loss_rpn_loc: 0.001306 loss_D_img_s: 0.7584 loss_cls_pseudo: 0.0009367 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4872 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6145 time: 1.6070 last_time: 1.7405 data_time: 0.0077 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 06:36:27] d2.utils.events INFO: eta: 5:05:33 iter: 38299 total_loss: 1.942 loss_cls: 0.008621 loss_box_reg: 0.01609 loss_rpn_cls: 0.06781 loss_rpn_loc: 0.001308 loss_D_img_s: 0.7022 loss_cls_pseudo: 0.00127 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4416 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6759 time: 1.6070 last_time: 1.6137 data_time: 0.0075 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 06:36:58] d2.utils.events INFO: eta: 5:05:01 iter: 38319 total_loss: 1.989 loss_cls: 0.01495 loss_box_reg: 0.01844 loss_rpn_cls: 0.03235 loss_rpn_loc: 0.001478 loss_D_img_s: 0.6709 loss_cls_pseudo: 0.001687 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4745 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7082 time: 1.6069 last_time: 1.5405 data_time: 0.0078 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 06:37:30] d2.utils.events INFO: eta: 5:04:41 iter: 38339 total_loss: 1.763 loss_cls: 0.007079 loss_box_reg: 0.0165 loss_rpn_cls: 0.01438 loss_rpn_loc: 0.001222 loss_D_img_s: 0.6887 loss_cls_pseudo: 0.001958 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3202 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6854 time: 1.6069 last_time: 1.5529 data_time: 0.0081 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 06:38:02] d2.utils.events INFO: eta: 5:04:09 iter: 38359 total_loss: 1.95 loss_cls: 0.00775 loss_box_reg: 0.01941 loss_rpn_cls: 0.04012 loss_rpn_loc: 0.001155 loss_D_img_s: 0.7051 loss_cls_pseudo: 0.0007882 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4734 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6734 time: 1.6069 last_time: 1.5275 data_time: 0.0082 last_data_time: 0.0112 lr: 0.02 max_mem: 14768M +[04/11 06:38:33] d2.utils.events INFO: eta: 5:03:27 iter: 38379 total_loss: 1.861 loss_cls: 0.005871 loss_box_reg: 0.0181 loss_rpn_cls: 0.03016 loss_rpn_loc: 0.001072 loss_D_img_s: 0.6806 loss_cls_pseudo: 0.0005909 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3789 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6986 time: 1.6068 last_time: 1.4609 data_time: 0.0083 last_data_time: 0.0060 lr: 0.02 max_mem: 14768M +[04/11 06:39:05] d2.utils.events INFO: eta: 5:02:53 iter: 38399 total_loss: 1.687 loss_cls: 0.009002 loss_box_reg: 0.01562 loss_rpn_cls: 0.01347 loss_rpn_loc: 0.001225 loss_D_img_s: 0.6457 loss_cls_pseudo: 0.0006571 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2288 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7584 time: 1.6068 last_time: 1.6438 data_time: 0.0082 last_data_time: 0.0061 lr: 0.02 max_mem: 14768M +[04/11 06:39:36] d2.utils.events INFO: eta: 5:02:35 iter: 38419 total_loss: 2.019 loss_cls: 0.01395 loss_box_reg: 0.02075 loss_rpn_cls: 0.07432 loss_rpn_loc: 0.001307 loss_D_img_s: 0.7857 loss_cls_pseudo: 0.001521 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4792 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6028 time: 1.6067 last_time: 1.5367 data_time: 0.0081 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 06:40:08] d2.utils.events INFO: eta: 5:01:58 iter: 38439 total_loss: 2.058 loss_cls: 0.005753 loss_box_reg: 0.01684 loss_rpn_cls: 0.156 loss_rpn_loc: 0.001248 loss_D_img_s: 0.7244 loss_cls_pseudo: 0.001758 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4963 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6633 time: 1.6067 last_time: 1.4916 data_time: 0.0079 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 06:40:39] d2.utils.events INFO: eta: 5:01:25 iter: 38459 total_loss: 1.717 loss_cls: 0.004621 loss_box_reg: 0.01527 loss_rpn_cls: 0.0419 loss_rpn_loc: 0.001147 loss_D_img_s: 0.6558 loss_cls_pseudo: 0.0007356 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2304 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7262 time: 1.6066 last_time: 1.5711 data_time: 0.0074 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 06:41:11] d2.utils.events INFO: eta: 5:00:47 iter: 38479 total_loss: 2.001 loss_cls: 0.007836 loss_box_reg: 0.0183 loss_rpn_cls: 0.03708 loss_rpn_loc: 0.001491 loss_D_img_s: 0.6775 loss_cls_pseudo: 0.00319 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5076 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.703 time: 1.6066 last_time: 1.4516 data_time: 0.0077 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 06:41:43] d2.utils.events INFO: eta: 5:00:14 iter: 38499 total_loss: 1.783 loss_cls: 0.009372 loss_box_reg: 0.01757 loss_rpn_cls: 0.03159 loss_rpn_loc: 0.001301 loss_D_img_s: 0.6822 loss_cls_pseudo: 0.0004965 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2885 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6837 time: 1.6066 last_time: 1.6106 data_time: 0.0085 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 06:42:15] d2.utils.events INFO: eta: 4:59:57 iter: 38519 total_loss: 1.856 loss_cls: 0.007565 loss_box_reg: 0.01531 loss_rpn_cls: 0.02118 loss_rpn_loc: 0.0012 loss_D_img_s: 0.6913 loss_cls_pseudo: 0.001463 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3899 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6964 time: 1.6066 last_time: 1.5569 data_time: 0.0079 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 06:42:46] d2.utils.events INFO: eta: 4:59:19 iter: 38539 total_loss: 1.98 loss_cls: 0.00915 loss_box_reg: 0.01279 loss_rpn_cls: 0.1844 loss_rpn_loc: 0.001407 loss_D_img_s: 0.7272 loss_cls_pseudo: 0.0006681 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4832 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6519 time: 1.6065 last_time: 1.5407 data_time: 0.0082 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 06:43:18] d2.utils.events INFO: eta: 4:58:28 iter: 38559 total_loss: 1.938 loss_cls: 0.008213 loss_box_reg: 0.01312 loss_rpn_cls: 0.06609 loss_rpn_loc: 0.001258 loss_D_img_s: 0.6798 loss_cls_pseudo: 0.001183 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3788 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6835 time: 1.6065 last_time: 1.5331 data_time: 0.0075 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 06:43:50] d2.utils.events INFO: eta: 4:58:14 iter: 38579 total_loss: 1.902 loss_cls: 0.006877 loss_box_reg: 0.01692 loss_rpn_cls: 0.01558 loss_rpn_loc: 0.001405 loss_D_img_s: 0.6368 loss_cls_pseudo: 0.001542 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5274 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7183 time: 1.6065 last_time: 1.7886 data_time: 0.0085 last_data_time: 0.0115 lr: 0.02 max_mem: 14768M +[04/11 06:44:21] d2.utils.events INFO: eta: 4:57:31 iter: 38599 total_loss: 1.841 loss_cls: 0.005049 loss_box_reg: 0.0147 loss_rpn_cls: 0.01673 loss_rpn_loc: 0.001204 loss_D_img_s: 0.7208 loss_cls_pseudo: 0.000752 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4842 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6385 time: 1.6064 last_time: 1.6354 data_time: 0.0091 last_data_time: 0.0098 lr: 0.02 max_mem: 14768M +[04/11 06:44:52] d2.utils.events INFO: eta: 4:56:52 iter: 38619 total_loss: 1.728 loss_cls: 0.01137 loss_box_reg: 0.02046 loss_rpn_cls: 0.03887 loss_rpn_loc: 0.001429 loss_D_img_s: 0.6491 loss_cls_pseudo: 0.001387 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2589 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7399 time: 1.6063 last_time: 1.5836 data_time: 0.0078 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 06:45:24] d2.utils.events INFO: eta: 4:56:16 iter: 38639 total_loss: 1.882 loss_cls: 0.007291 loss_box_reg: 0.01601 loss_rpn_cls: 0.04743 loss_rpn_loc: 0.0009932 loss_D_img_s: 0.7 loss_cls_pseudo: 0.001006 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2896 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6546 time: 1.6063 last_time: 1.5214 data_time: 0.0078 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 06:45:57] d2.utils.events INFO: eta: 4:55:47 iter: 38659 total_loss: 1.964 loss_cls: 0.007342 loss_box_reg: 0.01491 loss_rpn_cls: 0.03302 loss_rpn_loc: 0.000969 loss_D_img_s: 0.7096 loss_cls_pseudo: 0.0009874 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.51 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6936 time: 1.6063 last_time: 1.5074 data_time: 0.0082 last_data_time: 0.0058 lr: 0.02 max_mem: 14768M +[04/11 06:46:28] d2.utils.events INFO: eta: 4:55:26 iter: 38679 total_loss: 1.758 loss_cls: 0.005963 loss_box_reg: 0.01339 loss_rpn_cls: 0.02712 loss_rpn_loc: 0.001111 loss_D_img_s: 0.7109 loss_cls_pseudo: 0.0009196 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2712 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6631 time: 1.6063 last_time: 1.4707 data_time: 0.0082 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 06:47:00] d2.utils.events INFO: eta: 4:54:49 iter: 38699 total_loss: 1.683 loss_cls: 0.004479 loss_box_reg: 0.014 loss_rpn_cls: 0.02714 loss_rpn_loc: 0.0009965 loss_D_img_s: 0.704 loss_cls_pseudo: 0.001292 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1919 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6925 time: 1.6063 last_time: 1.5063 data_time: 0.0070 last_data_time: 0.0061 lr: 0.02 max_mem: 14768M +[04/11 06:47:31] d2.utils.events INFO: eta: 4:54:30 iter: 38719 total_loss: 1.908 loss_cls: 0.005807 loss_box_reg: 0.0143 loss_rpn_cls: 0.03675 loss_rpn_loc: 0.001184 loss_D_img_s: 0.7191 loss_cls_pseudo: 0.0005571 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4968 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6545 time: 1.6062 last_time: 1.4015 data_time: 0.0079 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 06:48:03] d2.utils.events INFO: eta: 4:54:00 iter: 38739 total_loss: 1.915 loss_cls: 0.006438 loss_box_reg: 0.01444 loss_rpn_cls: 0.0335 loss_rpn_loc: 0.001042 loss_D_img_s: 0.6999 loss_cls_pseudo: 0.0002796 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4762 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6739 time: 1.6062 last_time: 1.4815 data_time: 0.0077 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 06:48:34] d2.utils.events INFO: eta: 4:53:13 iter: 38759 total_loss: 1.871 loss_cls: 0.009712 loss_box_reg: 0.01459 loss_rpn_cls: 0.02751 loss_rpn_loc: 0.001053 loss_D_img_s: 0.6964 loss_cls_pseudo: 0.005091 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3801 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6934 time: 1.6061 last_time: 1.5817 data_time: 0.0081 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 06:49:06] d2.utils.events INFO: eta: 4:52:41 iter: 38779 total_loss: 1.624 loss_cls: 0.00577 loss_box_reg: 0.0168 loss_rpn_cls: 0.01215 loss_rpn_loc: 0.0009566 loss_D_img_s: 0.6843 loss_cls_pseudo: 0.001221 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1792 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.687 time: 1.6061 last_time: 1.5382 data_time: 0.0077 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 06:49:37] d2.utils.events INFO: eta: 4:52:00 iter: 38799 total_loss: 1.937 loss_cls: 0.00957 loss_box_reg: 0.01695 loss_rpn_cls: 0.03133 loss_rpn_loc: 0.001243 loss_D_img_s: 0.6928 loss_cls_pseudo: 0.0007459 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3971 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6989 time: 1.6060 last_time: 1.5225 data_time: 0.0083 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 06:50:09] d2.utils.events INFO: eta: 4:51:23 iter: 38819 total_loss: 1.846 loss_cls: 0.008098 loss_box_reg: 0.01885 loss_rpn_cls: 0.01172 loss_rpn_loc: 0.001225 loss_D_img_s: 0.6526 loss_cls_pseudo: 0.0007128 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4832 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7159 time: 1.6060 last_time: 1.6544 data_time: 0.0076 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 06:50:40] d2.utils.events INFO: eta: 4:50:49 iter: 38839 total_loss: 1.912 loss_cls: 0.008172 loss_box_reg: 0.01639 loss_rpn_cls: 0.06048 loss_rpn_loc: 0.001139 loss_D_img_s: 0.7148 loss_cls_pseudo: 0.0003812 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.478 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6538 time: 1.6059 last_time: 1.5053 data_time: 0.0078 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 06:51:12] d2.utils.events INFO: eta: 4:50:31 iter: 38859 total_loss: 1.771 loss_cls: 0.00894 loss_box_reg: 0.01924 loss_rpn_cls: 0.01425 loss_rpn_loc: 0.0009776 loss_D_img_s: 0.6835 loss_cls_pseudo: 0.000868 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2911 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7308 time: 1.6059 last_time: 1.5115 data_time: 0.0083 last_data_time: 0.0096 lr: 0.02 max_mem: 14768M +[04/11 06:51:43] d2.utils.events INFO: eta: 4:49:43 iter: 38879 total_loss: 1.893 loss_cls: 0.009122 loss_box_reg: 0.0212 loss_rpn_cls: 0.04615 loss_rpn_loc: 0.0012 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.001341 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3038 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6721 time: 1.6058 last_time: 1.4705 data_time: 0.0081 last_data_time: 0.0131 lr: 0.02 max_mem: 14768M +[04/11 06:52:15] d2.utils.events INFO: eta: 4:49:18 iter: 38899 total_loss: 2.021 loss_cls: 0.007224 loss_box_reg: 0.01935 loss_rpn_cls: 0.04587 loss_rpn_loc: 0.001214 loss_D_img_s: 0.7259 loss_cls_pseudo: 0.0007993 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5191 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6404 time: 1.6058 last_time: 1.5567 data_time: 0.0080 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 06:52:47] d2.utils.events INFO: eta: 4:48:47 iter: 38919 total_loss: 1.918 loss_cls: 0.007137 loss_box_reg: 0.01988 loss_rpn_cls: 0.09255 loss_rpn_loc: 0.001141 loss_D_img_s: 0.6649 loss_cls_pseudo: 0.000881 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2866 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.727 time: 1.6058 last_time: 1.7386 data_time: 0.0079 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 06:53:18] d2.utils.events INFO: eta: 4:48:15 iter: 38939 total_loss: 1.929 loss_cls: 0.009589 loss_box_reg: 0.01526 loss_rpn_cls: 0.03686 loss_rpn_loc: 0.001425 loss_D_img_s: 0.6492 loss_cls_pseudo: 0.0005745 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5057 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7129 time: 1.6057 last_time: 1.6035 data_time: 0.0079 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 06:53:50] d2.utils.events INFO: eta: 4:47:44 iter: 38959 total_loss: 2.032 loss_cls: 0.00832 loss_box_reg: 0.01982 loss_rpn_cls: 0.07404 loss_rpn_loc: 0.001333 loss_D_img_s: 0.7141 loss_cls_pseudo: 0.00183 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4926 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6692 time: 1.6057 last_time: 1.4374 data_time: 0.0083 last_data_time: 0.0096 lr: 0.02 max_mem: 14768M +[04/11 06:54:22] d2.utils.events INFO: eta: 4:47:34 iter: 38979 total_loss: 1.77 loss_cls: 0.008752 loss_box_reg: 0.01585 loss_rpn_cls: 0.06421 loss_rpn_loc: 0.001384 loss_D_img_s: 0.7079 loss_cls_pseudo: 0.00331 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.202 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6825 time: 1.6057 last_time: 1.6088 data_time: 0.0083 last_data_time: 0.0085 lr: 0.02 max_mem: 14768M +[04/11 06:54:53] d2.data.common INFO: Serializing the dataset using: +[04/11 06:54:53] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 06:54:53] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 06:54:53] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 06:54:53] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 06:54:54] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0038 s/iter. Inference: 0.0822 s/iter. Eval: 0.0001 s/iter. Total: 0.0861 s/iter. ETA=0:00:34 +[04/11 06:54:59] d2.evaluation.evaluator INFO: Inference done 76/410. Dataloading: 0.0165 s/iter. Inference: 0.0618 s/iter. Eval: 0.0002 s/iter. Total: 0.0786 s/iter. ETA=0:00:26 +[04/11 06:55:04] d2.evaluation.evaluator INFO: Inference done 146/410. Dataloading: 0.0140 s/iter. Inference: 0.0612 s/iter. Eval: 0.0003 s/iter. Total: 0.0755 s/iter. ETA=0:00:19 +[04/11 06:55:10] d2.evaluation.evaluator INFO: Inference done 218/410. Dataloading: 0.0130 s/iter. Inference: 0.0602 s/iter. Eval: 0.0003 s/iter. Total: 0.0736 s/iter. ETA=0:00:14 +[04/11 06:55:15] d2.evaluation.evaluator INFO: Inference done 291/410. Dataloading: 0.0132 s/iter. Inference: 0.0588 s/iter. Eval: 0.0003 s/iter. Total: 0.0724 s/iter. ETA=0:00:08 +[04/11 06:55:20] d2.evaluation.evaluator INFO: Inference done 363/410. Dataloading: 0.0131 s/iter. Inference: 0.0585 s/iter. Eval: 0.0003 s/iter. Total: 0.0719 s/iter. ETA=0:00:03 +[04/11 06:55:23] d2.evaluation.evaluator INFO: Total inference time: 0:00:29.054395 (0.071739 s / iter per device, on 1 devices) +[04/11 06:55:23] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.058392 s / iter per device, on 1 devices) +[04/11 06:55:23] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 06:55:23] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 06:55:23] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 06:55:23] d2.evaluation.testing INFO: copypaste: 10.2375,30.2180,2.1214 +[04/11 06:55:23] d2.data.common INFO: Serializing the dataset using: +[04/11 06:55:23] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 06:55:23] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 06:55:23] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 06:55:23] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 06:55:25] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0192 s/iter. Inference: 0.0649 s/iter. Eval: 0.0002 s/iter. Total: 0.0842 s/iter. ETA=0:00:33 +[04/11 06:55:30] d2.evaluation.evaluator INFO: Inference done 76/410. Dataloading: 0.0168 s/iter. Inference: 0.0610 s/iter. Eval: 0.0002 s/iter. Total: 0.0782 s/iter. ETA=0:00:26 +[04/11 06:55:35] d2.evaluation.evaluator INFO: Inference done 146/410. Dataloading: 0.0136 s/iter. Inference: 0.0612 s/iter. Eval: 0.0002 s/iter. Total: 0.0751 s/iter. ETA=0:00:19 +[04/11 06:55:40] d2.evaluation.evaluator INFO: Inference done 220/410. Dataloading: 0.0109 s/iter. Inference: 0.0615 s/iter. Eval: 0.0002 s/iter. Total: 0.0727 s/iter. ETA=0:00:13 +[04/11 06:55:45] d2.evaluation.evaluator INFO: Inference done 294/410. Dataloading: 0.0103 s/iter. Inference: 0.0610 s/iter. Eval: 0.0002 s/iter. Total: 0.0716 s/iter. ETA=0:00:08 +[04/11 06:55:50] d2.evaluation.evaluator INFO: Inference done 365/410. Dataloading: 0.0108 s/iter. Inference: 0.0604 s/iter. Eval: 0.0002 s/iter. Total: 0.0716 s/iter. ETA=0:00:03 +[04/11 06:55:53] d2.evaluation.evaluator INFO: Total inference time: 0:00:29.175565 (0.072038 s / iter per device, on 1 devices) +[04/11 06:55:53] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:24 (0.061083 s / iter per device, on 1 devices) +[04/11 06:55:54] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 06:55:54] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 06:55:54] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 06:55:54] d2.evaluation.testing INFO: copypaste: 2.7174,9.9524,0.5772 +[04/11 06:55:54] d2.utils.events INFO: eta: 4:46:39 iter: 38999 total_loss: 2.045 loss_cls: 0.006239 loss_box_reg: 0.01631 loss_rpn_cls: 0.08249 loss_rpn_loc: 0.001189 loss_D_img_s: 0.7078 loss_cls_pseudo: 0.00133 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5496 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6788 time: 1.6056 last_time: 1.5439 data_time: 0.0077 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 06:56:24] d2.utils.events INFO: eta: 4:45:58 iter: 39019 total_loss: 1.998 loss_cls: 0.006776 loss_box_reg: 0.01795 loss_rpn_cls: 0.1212 loss_rpn_loc: 0.001096 loss_D_img_s: 0.6718 loss_cls_pseudo: 0.001694 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4991 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7008 time: 1.6055 last_time: 1.4816 data_time: 0.0075 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 06:56:55] d2.utils.events INFO: eta: 4:45:20 iter: 39039 total_loss: 1.77 loss_cls: 0.005629 loss_box_reg: 0.01274 loss_rpn_cls: 0.06316 loss_rpn_loc: 0.001097 loss_D_img_s: 0.6732 loss_cls_pseudo: 0.0006405 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2697 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6908 time: 1.6054 last_time: 1.6176 data_time: 0.0086 last_data_time: 0.0102 lr: 0.02 max_mem: 14768M +[04/11 06:57:27] d2.utils.events INFO: eta: 4:44:54 iter: 39059 total_loss: 1.867 loss_cls: 0.008828 loss_box_reg: 0.01144 loss_rpn_cls: 0.06618 loss_rpn_loc: 0.0008861 loss_D_img_s: 0.7091 loss_cls_pseudo: 0.002137 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3744 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6705 time: 1.6054 last_time: 1.5746 data_time: 0.0076 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 06:57:59] d2.utils.events INFO: eta: 4:44:25 iter: 39079 total_loss: 1.719 loss_cls: 0.00709 loss_box_reg: 0.01443 loss_rpn_cls: 0.06173 loss_rpn_loc: 0.001068 loss_D_img_s: 0.69 loss_cls_pseudo: 0.001679 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.228 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6732 time: 1.6054 last_time: 1.6018 data_time: 0.0083 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 06:58:31] d2.utils.events INFO: eta: 4:43:59 iter: 39099 total_loss: 1.802 loss_cls: 0.006023 loss_box_reg: 0.01352 loss_rpn_cls: 0.01802 loss_rpn_loc: 0.0009853 loss_D_img_s: 0.7035 loss_cls_pseudo: 0.0006339 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3766 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6913 time: 1.6054 last_time: 1.5464 data_time: 0.0079 last_data_time: 0.0060 lr: 0.02 max_mem: 14768M +[04/11 06:59:02] d2.utils.events INFO: eta: 4:43:28 iter: 39119 total_loss: 1.942 loss_cls: 0.007348 loss_box_reg: 0.01646 loss_rpn_cls: 0.06842 loss_rpn_loc: 0.001072 loss_D_img_s: 0.6712 loss_cls_pseudo: 0.0005679 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4748 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7035 time: 1.6053 last_time: 1.5300 data_time: 0.0081 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 06:59:34] d2.utils.events INFO: eta: 4:43:02 iter: 39139 total_loss: 1.689 loss_cls: 0.005624 loss_box_reg: 0.01394 loss_rpn_cls: 0.01191 loss_rpn_loc: 0.001006 loss_D_img_s: 0.6421 loss_cls_pseudo: 0.0009678 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1795 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7647 time: 1.6053 last_time: 1.6254 data_time: 0.0080 last_data_time: 0.0054 lr: 0.02 max_mem: 14768M +[04/11 07:00:05] d2.utils.events INFO: eta: 4:42:25 iter: 39159 total_loss: 1.959 loss_cls: 0.007978 loss_box_reg: 0.01928 loss_rpn_cls: 0.05688 loss_rpn_loc: 0.001086 loss_D_img_s: 0.7185 loss_cls_pseudo: 0.003345 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4639 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6658 time: 1.6052 last_time: 1.5163 data_time: 0.0082 last_data_time: 0.0175 lr: 0.02 max_mem: 14768M +[04/11 07:00:37] d2.utils.events INFO: eta: 4:41:48 iter: 39179 total_loss: 1.984 loss_cls: 0.01412 loss_box_reg: 0.01818 loss_rpn_cls: 0.07413 loss_rpn_loc: 0.001211 loss_D_img_s: 0.6827 loss_cls_pseudo: 0.001585 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3955 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7024 time: 1.6052 last_time: 1.4264 data_time: 0.0081 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 07:01:09] d2.utils.events INFO: eta: 4:41:23 iter: 39199 total_loss: 1.672 loss_cls: 0.007279 loss_box_reg: 0.01531 loss_rpn_cls: 0.07102 loss_rpn_loc: 0.001182 loss_D_img_s: 0.6659 loss_cls_pseudo: 0.001757 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1414 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7116 time: 1.6052 last_time: 1.4905 data_time: 0.0075 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 07:01:40] d2.utils.events INFO: eta: 4:40:57 iter: 39219 total_loss: 2.008 loss_cls: 0.009303 loss_box_reg: 0.01607 loss_rpn_cls: 0.05997 loss_rpn_loc: 0.001224 loss_D_img_s: 0.6984 loss_cls_pseudo: 0.001522 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5262 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6865 time: 1.6051 last_time: 1.5767 data_time: 0.0081 last_data_time: 0.0099 lr: 0.02 max_mem: 14768M +[04/11 07:02:11] d2.utils.events INFO: eta: 4:40:08 iter: 39239 total_loss: 1.946 loss_cls: 0.009006 loss_box_reg: 0.01833 loss_rpn_cls: 0.07115 loss_rpn_loc: 0.0009516 loss_D_img_s: 0.7138 loss_cls_pseudo: 0.00189 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3998 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6721 time: 1.6051 last_time: 1.5227 data_time: 0.0082 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 07:02:42] d2.utils.events INFO: eta: 4:39:27 iter: 39259 total_loss: 1.932 loss_cls: 0.007657 loss_box_reg: 0.01425 loss_rpn_cls: 0.03285 loss_rpn_loc: 0.001076 loss_D_img_s: 0.6605 loss_cls_pseudo: 0.0008017 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4921 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7024 time: 1.6050 last_time: 1.5265 data_time: 0.0075 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 07:03:14] d2.utils.events INFO: eta: 4:39:05 iter: 39279 total_loss: 1.755 loss_cls: 0.007247 loss_box_reg: 0.0165 loss_rpn_cls: 0.02908 loss_rpn_loc: 0.000981 loss_D_img_s: 0.7211 loss_cls_pseudo: 0.0005704 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3093 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6414 time: 1.6049 last_time: 1.7484 data_time: 0.0086 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 07:03:45] d2.utils.events INFO: eta: 4:38:37 iter: 39299 total_loss: 1.89 loss_cls: 0.006033 loss_box_reg: 0.01353 loss_rpn_cls: 0.04898 loss_rpn_loc: 0.001142 loss_D_img_s: 0.7203 loss_cls_pseudo: 0.00205 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.454 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.672 time: 1.6049 last_time: 1.5302 data_time: 0.0088 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 07:04:17] d2.utils.events INFO: eta: 4:38:06 iter: 39319 total_loss: 1.952 loss_cls: 0.006536 loss_box_reg: 0.01531 loss_rpn_cls: 0.03851 loss_rpn_loc: 0.001239 loss_D_img_s: 0.6776 loss_cls_pseudo: 0.00134 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4919 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7238 time: 1.6049 last_time: 1.5585 data_time: 0.0081 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 07:04:49] d2.utils.events INFO: eta: 4:37:37 iter: 39339 total_loss: 1.871 loss_cls: 0.007386 loss_box_reg: 0.01532 loss_rpn_cls: 0.06217 loss_rpn_loc: 0.0009177 loss_D_img_s: 0.6797 loss_cls_pseudo: 0.0009471 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.427 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6787 time: 1.6049 last_time: 1.7235 data_time: 0.0078 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 07:05:22] d2.utils.events INFO: eta: 4:37:06 iter: 39359 total_loss: 1.62 loss_cls: 0.005731 loss_box_reg: 0.01444 loss_rpn_cls: 0.01837 loss_rpn_loc: 0.001016 loss_D_img_s: 0.7194 loss_cls_pseudo: 0.0008318 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1304 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.671 time: 1.6049 last_time: 1.6666 data_time: 0.0082 last_data_time: 0.0115 lr: 0.02 max_mem: 14768M +[04/11 07:05:54] d2.utils.events INFO: eta: 4:36:48 iter: 39379 total_loss: 1.775 loss_cls: 0.007857 loss_box_reg: 0.01416 loss_rpn_cls: 0.08541 loss_rpn_loc: 0.0009674 loss_D_img_s: 0.6777 loss_cls_pseudo: 0.001671 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2213 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6954 time: 1.6049 last_time: 1.4055 data_time: 0.0086 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 07:06:25] d2.utils.events INFO: eta: 4:36:08 iter: 39399 total_loss: 1.69 loss_cls: 0.007651 loss_box_reg: 0.01495 loss_rpn_cls: 0.04451 loss_rpn_loc: 0.001229 loss_D_img_s: 0.6677 loss_cls_pseudo: 0.0007125 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1885 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6973 time: 1.6049 last_time: 1.5375 data_time: 0.0076 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 07:06:56] d2.utils.events INFO: eta: 4:35:35 iter: 39419 total_loss: 1.88 loss_cls: 0.006274 loss_box_reg: 0.01461 loss_rpn_cls: 0.04989 loss_rpn_loc: 0.001354 loss_D_img_s: 0.7233 loss_cls_pseudo: 0.0003485 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4771 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.665 time: 1.6048 last_time: 1.5245 data_time: 0.0076 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 07:07:29] d2.utils.events INFO: eta: 4:35:14 iter: 39439 total_loss: 1.908 loss_cls: 0.005582 loss_box_reg: 0.01546 loss_rpn_cls: 0.04489 loss_rpn_loc: 0.00112 loss_D_img_s: 0.6605 loss_cls_pseudo: 0.0005406 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4848 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6891 time: 1.6048 last_time: 1.6459 data_time: 0.0082 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 07:08:00] d2.utils.events INFO: eta: 4:35:04 iter: 39459 total_loss: 1.883 loss_cls: 0.007176 loss_box_reg: 0.01296 loss_rpn_cls: 0.03572 loss_rpn_loc: 0.001052 loss_D_img_s: 0.7159 loss_cls_pseudo: 0.0005854 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4834 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6468 time: 1.6048 last_time: 1.5961 data_time: 0.0072 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 07:08:32] d2.utils.events INFO: eta: 4:34:33 iter: 39479 total_loss: 1.947 loss_cls: 0.00629 loss_box_reg: 0.01504 loss_rpn_cls: 0.01841 loss_rpn_loc: 0.001262 loss_D_img_s: 0.6236 loss_cls_pseudo: 0.0004545 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5064 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.8052 time: 1.6047 last_time: 1.5698 data_time: 0.0077 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 07:09:03] d2.utils.events INFO: eta: 4:33:40 iter: 39499 total_loss: 1.688 loss_cls: 0.008186 loss_box_reg: 0.01621 loss_rpn_cls: 0.0135 loss_rpn_loc: 0.001431 loss_D_img_s: 0.7062 loss_cls_pseudo: 0.00223 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1986 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6774 time: 1.6047 last_time: 1.7514 data_time: 0.0076 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 07:09:34] d2.utils.events INFO: eta: 4:32:59 iter: 39519 total_loss: 1.911 loss_cls: 0.008312 loss_box_reg: 0.01459 loss_rpn_cls: 0.148 loss_rpn_loc: 0.001532 loss_D_img_s: 0.733 loss_cls_pseudo: 0.002346 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.362 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6326 time: 1.6046 last_time: 1.4930 data_time: 0.0078 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 07:10:05] d2.utils.events INFO: eta: 4:32:25 iter: 39539 total_loss: 1.764 loss_cls: 0.008446 loss_box_reg: 0.01717 loss_rpn_cls: 0.05841 loss_rpn_loc: 0.001481 loss_D_img_s: 0.6795 loss_cls_pseudo: 0.0009972 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1819 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7308 time: 1.6045 last_time: 1.5281 data_time: 0.0078 last_data_time: 0.0100 lr: 0.02 max_mem: 14768M +[04/11 07:10:37] d2.utils.events INFO: eta: 4:32:00 iter: 39559 total_loss: 1.923 loss_cls: 0.007346 loss_box_reg: 0.01422 loss_rpn_cls: 0.06198 loss_rpn_loc: 0.00119 loss_D_img_s: 0.7 loss_cls_pseudo: 0.001947 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4836 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6685 time: 1.6045 last_time: 1.4748 data_time: 0.0076 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 07:11:08] d2.utils.events INFO: eta: 4:31:23 iter: 39579 total_loss: 1.925 loss_cls: 0.006431 loss_box_reg: 0.01345 loss_rpn_cls: 0.03717 loss_rpn_loc: 0.001112 loss_D_img_s: 0.727 loss_cls_pseudo: 0.00121 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4828 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6645 time: 1.6044 last_time: 1.5036 data_time: 0.0077 last_data_time: 0.0099 lr: 0.02 max_mem: 14768M +[04/11 07:11:40] d2.utils.events INFO: eta: 4:30:52 iter: 39599 total_loss: 1.79 loss_cls: 0.005285 loss_box_reg: 0.01456 loss_rpn_cls: 0.03387 loss_rpn_loc: 0.001137 loss_D_img_s: 0.7028 loss_cls_pseudo: 0.0008167 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4103 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6893 time: 1.6044 last_time: 1.8041 data_time: 0.0080 last_data_time: 0.0110 lr: 0.02 max_mem: 14768M +[04/11 07:12:11] d2.utils.events INFO: eta: 4:30:30 iter: 39619 total_loss: 1.758 loss_cls: 0.006374 loss_box_reg: 0.01716 loss_rpn_cls: 0.04575 loss_rpn_loc: 0.001125 loss_D_img_s: 0.704 loss_cls_pseudo: 0.0005792 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2735 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6822 time: 1.6044 last_time: 1.5799 data_time: 0.0077 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 07:12:43] d2.utils.events INFO: eta: 4:29:49 iter: 39639 total_loss: 1.722 loss_cls: 0.005769 loss_box_reg: 0.01473 loss_rpn_cls: 0.02561 loss_rpn_loc: 0.001444 loss_D_img_s: 0.7079 loss_cls_pseudo: 0.0009076 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2586 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6731 time: 1.6043 last_time: 1.5755 data_time: 0.0079 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 07:13:15] d2.utils.events INFO: eta: 4:29:20 iter: 39659 total_loss: 1.755 loss_cls: 0.005353 loss_box_reg: 0.01578 loss_rpn_cls: 0.0343 loss_rpn_loc: 0.001354 loss_D_img_s: 0.7128 loss_cls_pseudo: 0.001043 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2879 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6527 time: 1.6043 last_time: 1.6551 data_time: 0.0074 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 07:13:47] d2.utils.events INFO: eta: 4:28:46 iter: 39679 total_loss: 2.038 loss_cls: 0.006687 loss_box_reg: 0.01658 loss_rpn_cls: 0.1552 loss_rpn_loc: 0.001367 loss_D_img_s: 0.7029 loss_cls_pseudo: 0.0009946 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4808 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6861 time: 1.6043 last_time: 1.7312 data_time: 0.0073 last_data_time: 0.0097 lr: 0.02 max_mem: 14768M +[04/11 07:14:18] d2.utils.events INFO: eta: 4:28:15 iter: 39699 total_loss: 2.008 loss_cls: 0.005408 loss_box_reg: 0.01301 loss_rpn_cls: 0.0654 loss_rpn_loc: 0.001137 loss_D_img_s: 0.6771 loss_cls_pseudo: 0.001306 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4976 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6978 time: 1.6043 last_time: 1.4280 data_time: 0.0072 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 07:14:50] d2.utils.events INFO: eta: 4:27:48 iter: 39719 total_loss: 1.964 loss_cls: 0.00861 loss_box_reg: 0.01789 loss_rpn_cls: 0.03233 loss_rpn_loc: 0.001398 loss_D_img_s: 0.6839 loss_cls_pseudo: 0.001177 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.499 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.684 time: 1.6042 last_time: 1.7111 data_time: 0.0081 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 07:15:22] d2.utils.events INFO: eta: 4:27:27 iter: 39739 total_loss: 1.818 loss_cls: 0.005909 loss_box_reg: 0.01328 loss_rpn_cls: 0.03991 loss_rpn_loc: 0.0009879 loss_D_img_s: 0.6925 loss_cls_pseudo: 0.001317 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2583 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6873 time: 1.6042 last_time: 1.5505 data_time: 0.0075 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 07:15:53] d2.utils.events INFO: eta: 4:26:55 iter: 39759 total_loss: 1.908 loss_cls: 0.006809 loss_box_reg: 0.01561 loss_rpn_cls: 0.0154 loss_rpn_loc: 0.00147 loss_D_img_s: 0.6814 loss_cls_pseudo: 0.0007994 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4814 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6798 time: 1.6042 last_time: 1.3861 data_time: 0.0074 last_data_time: 0.0088 lr: 0.02 max_mem: 14768M +[04/11 07:16:25] d2.utils.events INFO: eta: 4:26:26 iter: 39779 total_loss: 1.631 loss_cls: 0.005213 loss_box_reg: 0.01286 loss_rpn_cls: 0.01742 loss_rpn_loc: 0.001251 loss_D_img_s: 0.6637 loss_cls_pseudo: 0.0006411 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1783 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7186 time: 1.6042 last_time: 1.5555 data_time: 0.0085 last_data_time: 0.0058 lr: 0.02 max_mem: 14768M +[04/11 07:16:57] d2.utils.events INFO: eta: 4:25:53 iter: 39799 total_loss: 1.909 loss_cls: 0.007886 loss_box_reg: 0.01633 loss_rpn_cls: 0.05823 loss_rpn_loc: 0.001504 loss_D_img_s: 0.7375 loss_cls_pseudo: 0.001602 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4644 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.654 time: 1.6041 last_time: 1.5739 data_time: 0.0074 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 07:17:28] d2.utils.events INFO: eta: 4:25:24 iter: 39819 total_loss: 1.951 loss_cls: 0.008792 loss_box_reg: 0.01275 loss_rpn_cls: 0.06626 loss_rpn_loc: 0.001291 loss_D_img_s: 0.6852 loss_cls_pseudo: 0.001597 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.476 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 1.6041 last_time: 1.4808 data_time: 0.0077 last_data_time: 0.0058 lr: 0.02 max_mem: 14768M +[04/11 07:17:59] d2.utils.events INFO: eta: 4:25:09 iter: 39839 total_loss: 2.087 loss_cls: 0.01094 loss_box_reg: 0.0187 loss_rpn_cls: 0.1438 loss_rpn_loc: 0.001304 loss_D_img_s: 0.6972 loss_cls_pseudo: 0.001338 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5155 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6987 time: 1.6040 last_time: 1.5827 data_time: 0.0078 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 07:18:31] d2.utils.events INFO: eta: 4:24:19 iter: 39859 total_loss: 1.879 loss_cls: 0.007459 loss_box_reg: 0.01348 loss_rpn_cls: 0.07026 loss_rpn_loc: 0.001182 loss_D_img_s: 0.706 loss_cls_pseudo: 0.001438 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.321 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6776 time: 1.6040 last_time: 1.5977 data_time: 0.0084 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 07:19:03] d2.utils.events INFO: eta: 4:24:07 iter: 39879 total_loss: 1.669 loss_cls: 0.006047 loss_box_reg: 0.01421 loss_rpn_cls: 0.05162 loss_rpn_loc: 0.001102 loss_D_img_s: 0.7314 loss_cls_pseudo: 0.001312 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1569 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6532 time: 1.6040 last_time: 1.7309 data_time: 0.0085 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 07:19:34] d2.utils.events INFO: eta: 4:23:16 iter: 39899 total_loss: 1.925 loss_cls: 0.004993 loss_box_reg: 0.01443 loss_rpn_cls: 0.03658 loss_rpn_loc: 0.00102 loss_D_img_s: 0.6847 loss_cls_pseudo: 0.001295 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4757 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6817 time: 1.6039 last_time: 1.6068 data_time: 0.0073 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 07:20:06] d2.utils.events INFO: eta: 4:22:43 iter: 39919 total_loss: 1.799 loss_cls: 0.01011 loss_box_reg: 0.0172 loss_rpn_cls: 0.02279 loss_rpn_loc: 0.001257 loss_D_img_s: 0.6835 loss_cls_pseudo: 0.001614 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.32 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6988 time: 1.6039 last_time: 1.5443 data_time: 0.0080 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 07:20:38] d2.utils.events INFO: eta: 4:22:24 iter: 39939 total_loss: 1.941 loss_cls: 0.008682 loss_box_reg: 0.01747 loss_rpn_cls: 0.09058 loss_rpn_loc: 0.001151 loss_D_img_s: 0.6621 loss_cls_pseudo: 0.001059 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4744 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.709 time: 1.6039 last_time: 1.5544 data_time: 0.0073 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 07:21:09] d2.utils.events INFO: eta: 4:21:37 iter: 39959 total_loss: 1.717 loss_cls: 0.007318 loss_box_reg: 0.01727 loss_rpn_cls: 0.02384 loss_rpn_loc: 0.00115 loss_D_img_s: 0.6016 loss_cls_pseudo: 0.001735 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2266 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6983 time: 1.6038 last_time: 1.7325 data_time: 0.0078 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 07:21:40] d2.utils.events INFO: eta: 4:21:11 iter: 39979 total_loss: 1.842 loss_cls: 0.008026 loss_box_reg: 0.01568 loss_rpn_cls: 0.1673 loss_rpn_loc: 0.001249 loss_D_img_s: 0.7774 loss_cls_pseudo: 0.001584 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2655 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6001 time: 1.6038 last_time: 1.5363 data_time: 0.0079 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 07:22:12] fvcore.common.checkpoint INFO: Saving checkpoint to /DATA/Rajes/Research/output_cat/bmp_rti/model_0039999.pth +[04/11 07:22:13] d2.data.common INFO: Serializing the dataset using: +[04/11 07:22:13] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 07:22:13] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 07:22:13] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 07:22:13] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 07:22:14] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0029 s/iter. Inference: 0.0634 s/iter. Eval: 0.0001 s/iter. Total: 0.0664 s/iter. ETA=0:00:26 +[04/11 07:22:19] d2.evaluation.evaluator INFO: Inference done 74/410. Dataloading: 0.0169 s/iter. Inference: 0.0617 s/iter. Eval: 0.0001 s/iter. Total: 0.0787 s/iter. ETA=0:00:26 +[04/11 07:22:24] d2.evaluation.evaluator INFO: Inference done 141/410. Dataloading: 0.0163 s/iter. Inference: 0.0604 s/iter. Eval: 0.0001 s/iter. Total: 0.0769 s/iter. ETA=0:00:20 +[04/11 07:22:29] d2.evaluation.evaluator INFO: Inference done 214/410. Dataloading: 0.0149 s/iter. Inference: 0.0589 s/iter. Eval: 0.0001 s/iter. Total: 0.0740 s/iter. ETA=0:00:14 +[04/11 07:22:34] d2.evaluation.evaluator INFO: Inference done 284/410. Dataloading: 0.0148 s/iter. Inference: 0.0585 s/iter. Eval: 0.0001 s/iter. Total: 0.0735 s/iter. ETA=0:00:09 +[04/11 07:22:39] d2.evaluation.evaluator INFO: Inference done 355/410. Dataloading: 0.0143 s/iter. Inference: 0.0585 s/iter. Eval: 0.0001 s/iter. Total: 0.0730 s/iter. ETA=0:00:04 +[04/11 07:22:43] d2.evaluation.evaluator INFO: Total inference time: 0:00:29.532570 (0.072920 s / iter per device, on 1 devices) +[04/11 07:22:43] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.058859 s / iter per device, on 1 devices) +[04/11 07:22:43] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 07:22:43] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 07:22:43] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 07:22:43] d2.evaluation.testing INFO: copypaste: 6.1915,21.2334,0.8371 +[04/11 07:22:43] d2.data.common INFO: Serializing the dataset using: +[04/11 07:22:43] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 07:22:43] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 07:22:43] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 07:22:43] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 07:22:44] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0116 s/iter. Inference: 0.0496 s/iter. Eval: 0.0002 s/iter. Total: 0.0614 s/iter. ETA=0:00:24 +[04/11 07:22:49] d2.evaluation.evaluator INFO: Inference done 81/410. Dataloading: 0.0146 s/iter. Inference: 0.0557 s/iter. Eval: 0.0002 s/iter. Total: 0.0707 s/iter. ETA=0:00:23 +[04/11 07:22:54] d2.evaluation.evaluator INFO: Inference done 152/410. Dataloading: 0.0144 s/iter. Inference: 0.0559 s/iter. Eval: 0.0002 s/iter. Total: 0.0706 s/iter. ETA=0:00:18 +[04/11 07:22:59] d2.evaluation.evaluator INFO: Inference done 231/410. Dataloading: 0.0119 s/iter. Inference: 0.0560 s/iter. Eval: 0.0002 s/iter. Total: 0.0682 s/iter. ETA=0:00:12 +[04/11 07:23:05] d2.evaluation.evaluator INFO: Inference done 307/410. Dataloading: 0.0115 s/iter. Inference: 0.0559 s/iter. Eval: 0.0002 s/iter. Total: 0.0677 s/iter. ETA=0:00:06 +[04/11 07:23:10] d2.evaluation.evaluator INFO: Inference done 386/410. Dataloading: 0.0110 s/iter. Inference: 0.0555 s/iter. Eval: 0.0002 s/iter. Total: 0.0668 s/iter. ETA=0:00:01 +[04/11 07:23:11] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.978944 (0.066615 s / iter per device, on 1 devices) +[04/11 07:23:11] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.055155 s / iter per device, on 1 devices) +[04/11 07:23:11] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 07:23:11] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 07:23:11] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 07:23:11] d2.evaluation.testing INFO: copypaste: 2.3269,8.2300,0.8550 +[04/11 07:23:11] d2.utils.events INFO: eta: 4:20:59 iter: 39999 total_loss: 1.685 loss_cls: 0.006114 loss_box_reg: 0.0154 loss_rpn_cls: 0.05329 loss_rpn_loc: 0.001242 loss_D_img_s: 0.6674 loss_cls_pseudo: 0.0006389 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.163 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7287 time: 1.6038 last_time: 1.8278 data_time: 0.0076 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 07:23:43] d2.utils.events INFO: eta: 4:20:28 iter: 40019 total_loss: 1.992 loss_cls: 0.006421 loss_box_reg: 0.01528 loss_rpn_cls: 0.04172 loss_rpn_loc: 0.0009964 loss_D_img_s: 0.7006 loss_cls_pseudo: 0.0004593 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5027 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6711 time: 1.6037 last_time: 1.4518 data_time: 0.0077 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 07:24:15] d2.utils.events INFO: eta: 4:19:59 iter: 40039 total_loss: 1.842 loss_cls: 0.005663 loss_box_reg: 0.01484 loss_rpn_cls: 0.0347 loss_rpn_loc: 0.001133 loss_D_img_s: 0.7147 loss_cls_pseudo: 0.0003986 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3641 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6712 time: 1.6037 last_time: 1.5013 data_time: 0.0077 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 07:24:46] d2.utils.events INFO: eta: 4:19:26 iter: 40059 total_loss: 1.756 loss_cls: 0.00412 loss_box_reg: 0.01494 loss_rpn_cls: 0.01427 loss_rpn_loc: 0.00142 loss_D_img_s: 0.668 loss_cls_pseudo: 0.0003977 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3486 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6815 time: 1.6036 last_time: 1.4851 data_time: 0.0076 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 07:25:17] d2.utils.events INFO: eta: 4:18:52 iter: 40079 total_loss: 1.854 loss_cls: 0.00667 loss_box_reg: 0.01517 loss_rpn_cls: 0.01598 loss_rpn_loc: 0.001167 loss_D_img_s: 0.7243 loss_cls_pseudo: 0.00067 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2882 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6847 time: 1.6036 last_time: 1.5540 data_time: 0.0081 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 07:25:49] d2.utils.events INFO: eta: 4:18:21 iter: 40099 total_loss: 1.973 loss_cls: 0.007088 loss_box_reg: 0.01827 loss_rpn_cls: 0.01761 loss_rpn_loc: 0.00124 loss_D_img_s: 0.6733 loss_cls_pseudo: 0.001068 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4792 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7016 time: 1.6036 last_time: 1.5895 data_time: 0.0081 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 07:26:20] d2.utils.events INFO: eta: 4:17:42 iter: 40119 total_loss: 1.874 loss_cls: 0.005581 loss_box_reg: 0.01716 loss_rpn_cls: 0.02083 loss_rpn_loc: 0.001191 loss_D_img_s: 0.729 loss_cls_pseudo: 0.0008667 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4166 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6677 time: 1.6035 last_time: 1.8267 data_time: 0.0078 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 07:26:51] d2.utils.events INFO: eta: 4:17:01 iter: 40139 total_loss: 1.903 loss_cls: 0.008037 loss_box_reg: 0.01779 loss_rpn_cls: 0.01225 loss_rpn_loc: 0.001165 loss_D_img_s: 0.6937 loss_cls_pseudo: 0.002126 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4794 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6765 time: 1.6034 last_time: 1.4370 data_time: 0.0077 last_data_time: 0.0056 lr: 0.02 max_mem: 14768M +[04/11 07:27:22] d2.utils.events INFO: eta: 4:16:24 iter: 40159 total_loss: 1.944 loss_cls: 0.006533 loss_box_reg: 0.01594 loss_rpn_cls: 0.02196 loss_rpn_loc: 0.001446 loss_D_img_s: 0.6861 loss_cls_pseudo: 0.001135 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4759 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.703 time: 1.6034 last_time: 1.4303 data_time: 0.0078 last_data_time: 0.0089 lr: 0.02 max_mem: 14768M +[04/11 07:27:54] d2.utils.events INFO: eta: 4:16:01 iter: 40179 total_loss: 1.802 loss_cls: 0.008711 loss_box_reg: 0.01912 loss_rpn_cls: 0.02259 loss_rpn_loc: 0.0009475 loss_D_img_s: 0.6888 loss_cls_pseudo: 0.001542 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3495 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7034 time: 1.6033 last_time: 1.6329 data_time: 0.0081 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 07:28:25] d2.utils.events INFO: eta: 4:15:15 iter: 40199 total_loss: 1.705 loss_cls: 0.006228 loss_box_reg: 0.01654 loss_rpn_cls: 0.02816 loss_rpn_loc: 0.00116 loss_D_img_s: 0.6954 loss_cls_pseudo: 0.0006603 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2392 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6995 time: 1.6033 last_time: 1.6556 data_time: 0.0079 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 07:28:57] d2.utils.events INFO: eta: 4:14:50 iter: 40219 total_loss: 1.69 loss_cls: 0.005701 loss_box_reg: 0.01641 loss_rpn_cls: 0.02856 loss_rpn_loc: 0.001113 loss_D_img_s: 0.6931 loss_cls_pseudo: 0.00125 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2334 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6955 time: 1.6033 last_time: 1.7814 data_time: 0.0076 last_data_time: 0.0089 lr: 0.02 max_mem: 14768M +[04/11 07:29:29] d2.utils.events INFO: eta: 4:14:27 iter: 40239 total_loss: 1.799 loss_cls: 0.005353 loss_box_reg: 0.01457 loss_rpn_cls: 0.02571 loss_rpn_loc: 0.000974 loss_D_img_s: 0.6777 loss_cls_pseudo: 0.001202 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3667 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6992 time: 1.6033 last_time: 1.7062 data_time: 0.0078 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 07:30:00] d2.utils.events INFO: eta: 4:14:12 iter: 40259 total_loss: 1.951 loss_cls: 0.005974 loss_box_reg: 0.01787 loss_rpn_cls: 0.02216 loss_rpn_loc: 0.001213 loss_D_img_s: 0.6904 loss_cls_pseudo: 0.0006131 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4803 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 1.6032 last_time: 1.6772 data_time: 0.0077 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 07:30:32] d2.utils.events INFO: eta: 4:13:43 iter: 40279 total_loss: 1.81 loss_cls: 0.007083 loss_box_reg: 0.01842 loss_rpn_cls: 0.01465 loss_rpn_loc: 0.001111 loss_D_img_s: 0.6897 loss_cls_pseudo: 0.001591 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3077 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6988 time: 1.6032 last_time: 1.4869 data_time: 0.0085 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 07:31:03] d2.utils.events INFO: eta: 4:13:08 iter: 40299 total_loss: 1.859 loss_cls: 0.007043 loss_box_reg: 0.01763 loss_rpn_cls: 0.04914 loss_rpn_loc: 0.001098 loss_D_img_s: 0.6905 loss_cls_pseudo: 0.001136 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4148 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6853 time: 1.6031 last_time: 1.5397 data_time: 0.0075 last_data_time: 0.0059 lr: 0.02 max_mem: 14768M +[04/11 07:31:35] d2.utils.events INFO: eta: 4:12:37 iter: 40319 total_loss: 1.972 loss_cls: 0.01297 loss_box_reg: 0.01584 loss_rpn_cls: 0.016 loss_rpn_loc: 0.001343 loss_D_img_s: 0.674 loss_cls_pseudo: 0.0007123 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4662 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6948 time: 1.6031 last_time: 1.4170 data_time: 0.0077 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 07:32:06] d2.utils.events INFO: eta: 4:11:51 iter: 40339 total_loss: 1.974 loss_cls: 0.006935 loss_box_reg: 0.014 loss_rpn_cls: 0.03136 loss_rpn_loc: 0.001086 loss_D_img_s: 0.6917 loss_cls_pseudo: 0.003349 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4914 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7088 time: 1.6030 last_time: 1.5471 data_time: 0.0077 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 07:32:38] d2.utils.events INFO: eta: 4:11:20 iter: 40359 total_loss: 1.629 loss_cls: 0.007646 loss_box_reg: 0.02069 loss_rpn_cls: 0.02486 loss_rpn_loc: 0.00107 loss_D_img_s: 0.6978 loss_cls_pseudo: 0.001669 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1896 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6764 time: 1.6031 last_time: 1.6633 data_time: 0.0072 last_data_time: 0.0059 lr: 0.02 max_mem: 14768M +[04/11 07:33:10] d2.utils.events INFO: eta: 4:10:46 iter: 40379 total_loss: 1.811 loss_cls: 0.007614 loss_box_reg: 0.01825 loss_rpn_cls: 0.03424 loss_rpn_loc: 0.001359 loss_D_img_s: 0.7038 loss_cls_pseudo: 0.001507 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3758 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6801 time: 1.6030 last_time: 1.4562 data_time: 0.0075 last_data_time: 0.0088 lr: 0.02 max_mem: 14768M +[04/11 07:33:42] d2.utils.events INFO: eta: 4:10:20 iter: 40399 total_loss: 1.827 loss_cls: 0.006724 loss_box_reg: 0.01579 loss_rpn_cls: 0.04328 loss_rpn_loc: 0.001283 loss_D_img_s: 0.7055 loss_cls_pseudo: 0.001137 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3266 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6822 time: 1.6030 last_time: 1.7924 data_time: 0.0079 last_data_time: 0.0103 lr: 0.02 max_mem: 14768M +[04/11 07:34:14] d2.utils.events INFO: eta: 4:09:41 iter: 40419 total_loss: 1.917 loss_cls: 0.00761 loss_box_reg: 0.01916 loss_rpn_cls: 0.02476 loss_rpn_loc: 0.001169 loss_D_img_s: 0.6925 loss_cls_pseudo: 0.0009588 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5068 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6859 time: 1.6030 last_time: 1.5560 data_time: 0.0074 last_data_time: 0.0083 lr: 0.02 max_mem: 14768M +[04/11 07:34:45] d2.utils.events INFO: eta: 4:08:58 iter: 40439 total_loss: 1.96 loss_cls: 0.005602 loss_box_reg: 0.01601 loss_rpn_cls: 0.04308 loss_rpn_loc: 0.001285 loss_D_img_s: 0.6609 loss_cls_pseudo: 0.0007044 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4831 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7119 time: 1.6030 last_time: 1.7767 data_time: 0.0090 last_data_time: 0.0091 lr: 0.02 max_mem: 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loss_D_img_s: 0.7327 loss_cls_pseudo: 0.001399 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3108 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6676 time: 1.6028 last_time: 1.5562 data_time: 0.0076 last_data_time: 0.0085 lr: 0.02 max_mem: 14768M +[04/11 07:36:50] d2.utils.events INFO: eta: 4:06:53 iter: 40519 total_loss: 1.96 loss_cls: 0.007751 loss_box_reg: 0.01767 loss_rpn_cls: 0.03769 loss_rpn_loc: 0.001316 loss_D_img_s: 0.7174 loss_cls_pseudo: 0.0005301 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4395 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6634 time: 1.6028 last_time: 1.5370 data_time: 0.0076 last_data_time: 0.0120 lr: 0.02 max_mem: 14768M +[04/11 07:37:22] d2.utils.events INFO: eta: 4:06:33 iter: 40539 total_loss: 1.647 loss_cls: 0.006382 loss_box_reg: 0.01812 loss_rpn_cls: 0.01458 loss_rpn_loc: 0.001231 loss_D_img_s: 0.7025 loss_cls_pseudo: 0.001201 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1972 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6812 time: 1.6028 last_time: 1.5059 data_time: 0.0071 last_data_time: 0.0057 lr: 0.02 max_mem: 14768M +[04/11 07:37:54] d2.utils.events INFO: eta: 4:06:02 iter: 40559 total_loss: 1.895 loss_cls: 0.005719 loss_box_reg: 0.01846 loss_rpn_cls: 0.01777 loss_rpn_loc: 0.001261 loss_D_img_s: 0.6825 loss_cls_pseudo: 0.0008812 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4389 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7005 time: 1.6027 last_time: 1.6492 data_time: 0.0077 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 07:38:25] d2.utils.events INFO: eta: 4:05:34 iter: 40579 total_loss: 1.797 loss_cls: 0.009394 loss_box_reg: 0.01542 loss_rpn_cls: 0.01118 loss_rpn_loc: 0.001119 loss_D_img_s: 0.6825 loss_cls_pseudo: 0.0009011 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3831 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 1.6027 last_time: 1.5411 data_time: 0.0079 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 07:38:57] d2.utils.events INFO: eta: 4:05:02 iter: 40599 total_loss: 1.816 loss_cls: 0.007999 loss_box_reg: 0.01834 loss_rpn_cls: 0.0233 loss_rpn_loc: 0.001026 loss_D_img_s: 0.6825 loss_cls_pseudo: 0.001618 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2461 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6964 time: 1.6027 last_time: 1.6471 data_time: 0.0081 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 07:39:28] d2.utils.events INFO: eta: 4:04:29 iter: 40619 total_loss: 1.951 loss_cls: 0.009093 loss_box_reg: 0.01655 loss_rpn_cls: 0.025 loss_rpn_loc: 0.001419 loss_D_img_s: 0.6814 loss_cls_pseudo: 0.00061 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4991 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6945 time: 1.6026 last_time: 1.4511 data_time: 0.0074 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 07:40:00] d2.utils.events INFO: eta: 4:04:03 iter: 40639 total_loss: 1.899 loss_cls: 0.007209 loss_box_reg: 0.01569 loss_rpn_cls: 0.02199 loss_rpn_loc: 0.001203 loss_D_img_s: 0.676 loss_cls_pseudo: 0.00195 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4633 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7085 time: 1.6026 last_time: 1.4554 data_time: 0.0077 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 07:40:31] d2.utils.events INFO: eta: 4:03:25 iter: 40659 total_loss: 1.913 loss_cls: 0.008476 loss_box_reg: 0.01723 loss_rpn_cls: 0.04166 loss_rpn_loc: 0.001094 loss_D_img_s: 0.6684 loss_cls_pseudo: 0.0009756 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.482 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7106 time: 1.6025 last_time: 1.4820 data_time: 0.0080 last_data_time: 0.0108 lr: 0.02 max_mem: 14768M +[04/11 07:41:03] d2.utils.events INFO: eta: 4:02:55 iter: 40679 total_loss: 1.892 loss_cls: 0.00953 loss_box_reg: 0.01711 loss_rpn_cls: 0.04733 loss_rpn_loc: 0.001042 loss_D_img_s: 0.6964 loss_cls_pseudo: 0.0005699 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4709 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6636 time: 1.6025 last_time: 1.4360 data_time: 0.0082 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 07:41:35] d2.utils.events INFO: eta: 4:02:29 iter: 40699 total_loss: 1.819 loss_cls: 0.009051 loss_box_reg: 0.01641 loss_rpn_cls: 0.02568 loss_rpn_loc: 0.00106 loss_D_img_s: 0.6899 loss_cls_pseudo: 0.001269 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4759 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6696 time: 1.6026 last_time: 1.5741 data_time: 0.0079 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 07:42:07] d2.utils.events INFO: eta: 4:01:57 iter: 40719 total_loss: 1.808 loss_cls: 0.008193 loss_box_reg: 0.01776 loss_rpn_cls: 0.01512 loss_rpn_loc: 0.001054 loss_D_img_s: 0.6908 loss_cls_pseudo: 0.0004195 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3849 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6968 time: 1.6025 last_time: 1.5403 data_time: 0.0086 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 07:42:39] d2.utils.events INFO: eta: 4:01:23 iter: 40739 total_loss: 1.949 loss_cls: 0.007244 loss_box_reg: 0.01483 loss_rpn_cls: 0.03745 loss_rpn_loc: 0.001002 loss_D_img_s: 0.7146 loss_cls_pseudo: 0.001047 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4731 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6611 time: 1.6025 last_time: 1.6740 data_time: 0.0076 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 07:43:11] d2.utils.events INFO: eta: 4:00:56 iter: 40759 total_loss: 1.801 loss_cls: 0.006118 loss_box_reg: 0.01817 loss_rpn_cls: 0.02011 loss_rpn_loc: 0.001135 loss_D_img_s: 0.6534 loss_cls_pseudo: 0.0005114 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4026 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7264 time: 1.6025 last_time: 1.5789 data_time: 0.0074 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 07:43:42] d2.utils.events INFO: eta: 4:00:27 iter: 40779 total_loss: 1.668 loss_cls: 0.008555 loss_box_reg: 0.01695 loss_rpn_cls: 0.007064 loss_rpn_loc: 0.001147 loss_D_img_s: 0.7043 loss_cls_pseudo: 0.0006546 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1814 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6986 time: 1.6025 last_time: 1.6772 data_time: 0.0078 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 07:44:14] d2.utils.events INFO: eta: 3:59:57 iter: 40799 total_loss: 1.891 loss_cls: 0.00886 loss_box_reg: 0.01784 loss_rpn_cls: 0.01291 loss_rpn_loc: 0.001193 loss_D_img_s: 0.7313 loss_cls_pseudo: 0.0005437 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4803 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6634 time: 1.6024 last_time: 1.6004 data_time: 0.0076 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 07:44:46] d2.utils.events INFO: eta: 3:59:29 iter: 40819 total_loss: 1.852 loss_cls: 0.009827 loss_box_reg: 0.01933 loss_rpn_cls: 0.008161 loss_rpn_loc: 0.001103 loss_D_img_s: 0.6377 loss_cls_pseudo: 0.0007951 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4456 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7161 time: 1.6024 last_time: 1.5588 data_time: 0.0078 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 07:45:17] d2.utils.events INFO: eta: 3:58:53 iter: 40839 total_loss: 1.98 loss_cls: 0.007545 loss_box_reg: 0.01454 loss_rpn_cls: 0.0578 loss_rpn_loc: 0.001245 loss_D_img_s: 0.7639 loss_cls_pseudo: 0.002357 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4734 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6258 time: 1.6024 last_time: 1.5846 data_time: 0.0077 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 07:45:48] d2.utils.events INFO: eta: 3:58:29 iter: 40859 total_loss: 1.969 loss_cls: 0.009144 loss_box_reg: 0.01874 loss_rpn_cls: 0.01629 loss_rpn_loc: 0.001362 loss_D_img_s: 0.7347 loss_cls_pseudo: 0.001051 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4798 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.644 time: 1.6023 last_time: 1.4761 data_time: 0.0081 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 07:46:20] d2.utils.events INFO: eta: 3:57:49 iter: 40879 total_loss: 1.983 loss_cls: 0.009112 loss_box_reg: 0.01959 loss_rpn_cls: 0.05876 loss_rpn_loc: 0.001118 loss_D_img_s: 0.69 loss_cls_pseudo: 0.0009156 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4748 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6931 time: 1.6023 last_time: 1.6297 data_time: 0.0076 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 07:46:51] d2.utils.events INFO: eta: 3:57:24 iter: 40899 total_loss: 1.88 loss_cls: 0.0098 loss_box_reg: 0.02165 loss_rpn_cls: 0.00752 loss_rpn_loc: 0.001387 loss_D_img_s: 0.6621 loss_cls_pseudo: 0.002084 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4752 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7054 time: 1.6023 last_time: 1.4893 data_time: 0.0073 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 07:47:24] d2.utils.events INFO: eta: 3:56:57 iter: 40919 total_loss: 1.931 loss_cls: 0.005786 loss_box_reg: 0.01641 loss_rpn_cls: 0.02521 loss_rpn_loc: 0.001149 loss_D_img_s: 0.7414 loss_cls_pseudo: 0.0003766 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4702 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6577 time: 1.6023 last_time: 1.6533 data_time: 0.0078 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 07:47:56] d2.utils.events INFO: eta: 3:56:21 iter: 40939 total_loss: 1.693 loss_cls: 0.008837 loss_box_reg: 0.02008 loss_rpn_cls: 0.01148 loss_rpn_loc: 0.001186 loss_D_img_s: 0.6736 loss_cls_pseudo: 0.001655 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2262 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7022 time: 1.6023 last_time: 1.5145 data_time: 0.0087 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 07:48:28] d2.utils.events INFO: eta: 3:55:54 iter: 40959 total_loss: 1.983 loss_cls: 0.009835 loss_box_reg: 0.01357 loss_rpn_cls: 0.1151 loss_rpn_loc: 0.001541 loss_D_img_s: 0.6783 loss_cls_pseudo: 0.0008908 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.487 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6914 time: 1.6023 last_time: 1.5366 data_time: 0.0076 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 07:48:59] d2.utils.events INFO: eta: 3:55:18 iter: 40979 total_loss: 1.909 loss_cls: 0.00735 loss_box_reg: 0.0194 loss_rpn_cls: 0.0173 loss_rpn_loc: 0.00129 loss_D_img_s: 0.7054 loss_cls_pseudo: 0.0007568 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4842 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6674 time: 1.6022 last_time: 1.5055 data_time: 0.0079 last_data_time: 0.0105 lr: 0.02 max_mem: 14768M +[04/11 07:49:30] d2.data.common INFO: Serializing the dataset using: +[04/11 07:49:30] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 07:49:30] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 07:49:30] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 07:49:30] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 07:49:32] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0403 s/iter. Inference: 0.0539 s/iter. Eval: 0.0001 s/iter. Total: 0.0943 s/iter. ETA=0:00:37 +[04/11 07:49:37] d2.evaluation.evaluator INFO: Inference done 79/410. Dataloading: 0.0160 s/iter. Inference: 0.0590 s/iter. Eval: 0.0003 s/iter. Total: 0.0754 s/iter. ETA=0:00:24 +[04/11 07:49:42] d2.evaluation.evaluator INFO: Inference done 147/410. Dataloading: 0.0155 s/iter. Inference: 0.0589 s/iter. Eval: 0.0002 s/iter. Total: 0.0747 s/iter. ETA=0:00:19 +[04/11 07:49:47] d2.evaluation.evaluator INFO: Inference done 214/410. Dataloading: 0.0155 s/iter. Inference: 0.0590 s/iter. Eval: 0.0002 s/iter. Total: 0.0748 s/iter. ETA=0:00:14 +[04/11 07:49:52] d2.evaluation.evaluator INFO: Inference done 288/410. Dataloading: 0.0151 s/iter. Inference: 0.0575 s/iter. Eval: 0.0002 s/iter. Total: 0.0730 s/iter. ETA=0:00:08 +[04/11 07:49:57] d2.evaluation.evaluator INFO: Inference done 359/410. Dataloading: 0.0150 s/iter. Inference: 0.0572 s/iter. Eval: 0.0002 s/iter. Total: 0.0725 s/iter. ETA=0:00:03 +[04/11 07:50:01] d2.evaluation.evaluator INFO: Total inference time: 0:00:29.168961 (0.072022 s / iter per device, on 1 devices) +[04/11 07:50:01] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057626 s / iter per device, on 1 devices) +[04/11 07:50:01] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 07:50:01] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 07:50:01] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 07:50:01] d2.evaluation.testing INFO: copypaste: 6.7679,21.3687,1.5811 +[04/11 07:50:01] d2.data.common INFO: Serializing the dataset using: +[04/11 07:50:01] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 07:50:01] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 07:50:01] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 07:50:01] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 07:50:02] d2.evaluation.evaluator INFO: Inference done 14/410. Dataloading: 0.0177 s/iter. Inference: 0.0547 s/iter. Eval: 0.0002 s/iter. Total: 0.0726 s/iter. ETA=0:00:28 +[04/11 07:50:07] d2.evaluation.evaluator INFO: Inference done 85/410. Dataloading: 0.0139 s/iter. Inference: 0.0565 s/iter. Eval: 0.0002 s/iter. Total: 0.0707 s/iter. ETA=0:00:22 +[04/11 07:50:12] d2.evaluation.evaluator INFO: Inference done 160/410. Dataloading: 0.0120 s/iter. Inference: 0.0566 s/iter. Eval: 0.0002 s/iter. Total: 0.0689 s/iter. ETA=0:00:17 +[04/11 07:50:17] d2.evaluation.evaluator INFO: Inference done 233/410. Dataloading: 0.0116 s/iter. Inference: 0.0569 s/iter. Eval: 0.0002 s/iter. Total: 0.0688 s/iter. ETA=0:00:12 +[04/11 07:50:22] d2.evaluation.evaluator INFO: Inference done 306/410. Dataloading: 0.0118 s/iter. Inference: 0.0567 s/iter. Eval: 0.0002 s/iter. Total: 0.0688 s/iter. ETA=0:00:07 +[04/11 07:50:27] d2.evaluation.evaluator INFO: Inference done 380/410. Dataloading: 0.0113 s/iter. Inference: 0.0570 s/iter. Eval: 0.0002 s/iter. Total: 0.0687 s/iter. ETA=0:00:02 +[04/11 07:50:29] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.715781 (0.068434 s / iter per device, on 1 devices) +[04/11 07:50:29] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.056906 s / iter per device, on 1 devices) +[04/11 07:50:29] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 07:50:29] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 07:50:29] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 07:50:29] d2.evaluation.testing INFO: copypaste: 2.2104,6.6893,0.4512 +[04/11 07:50:29] d2.utils.events INFO: eta: 3:54:55 iter: 40999 total_loss: 1.922 loss_cls: 0.005941 loss_box_reg: 0.01806 loss_rpn_cls: 0.02092 loss_rpn_loc: 0.0009471 loss_D_img_s: 0.678 loss_cls_pseudo: 0.0004309 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4843 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6734 time: 1.6022 last_time: 1.6724 data_time: 0.0075 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 07:51:01] d2.utils.events INFO: eta: 3:54:18 iter: 41019 total_loss: 1.834 loss_cls: 0.005943 loss_box_reg: 0.01654 loss_rpn_cls: 0.009693 loss_rpn_loc: 0.001136 loss_D_img_s: 0.72 loss_cls_pseudo: 0.002789 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4755 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6463 time: 1.6021 last_time: 1.5509 data_time: 0.0075 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 07:51:33] d2.utils.events INFO: eta: 3:53:44 iter: 41039 total_loss: 1.917 loss_cls: 0.011 loss_box_reg: 0.01231 loss_rpn_cls: 0.02952 loss_rpn_loc: 0.001372 loss_D_img_s: 0.7224 loss_cls_pseudo: 0.002812 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4817 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6745 time: 1.6022 last_time: 1.9630 data_time: 0.0084 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 07:52:05] d2.utils.events INFO: eta: 3:53:21 iter: 41059 total_loss: 2.032 loss_cls: 0.01228 loss_box_reg: 0.01134 loss_rpn_cls: 0.1749 loss_rpn_loc: 0.002088 loss_D_img_s: 0.6897 loss_cls_pseudo: 0.001472 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3975 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7004 time: 1.6021 last_time: 1.5065 data_time: 0.0079 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 07:52:36] d2.utils.events INFO: eta: 3:52:54 iter: 41079 total_loss: 1.716 loss_cls: 0.01021 loss_box_reg: 0.02033 loss_rpn_cls: 0.09706 loss_rpn_loc: 0.001534 loss_D_img_s: 0.6709 loss_cls_pseudo: 0.0009348 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1582 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7136 time: 1.6021 last_time: 1.5189 data_time: 0.0083 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 07:53:08] d2.utils.events INFO: eta: 3:52:30 iter: 41099 total_loss: 2.104 loss_cls: 0.007122 loss_box_reg: 0.0165 loss_rpn_cls: 0.09823 loss_rpn_loc: 0.001453 loss_D_img_s: 0.6842 loss_cls_pseudo: 0.001647 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5374 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6881 time: 1.6021 last_time: 1.5543 data_time: 0.0076 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 07:53:40] d2.utils.events INFO: eta: 3:52:00 iter: 41119 total_loss: 1.845 loss_cls: 0.006503 loss_box_reg: 0.01451 loss_rpn_cls: 0.1108 loss_rpn_loc: 0.001684 loss_D_img_s: 0.7024 loss_cls_pseudo: 0.001189 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2398 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6678 time: 1.6021 last_time: 1.6122 data_time: 0.0086 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 07:54:11] d2.utils.events INFO: eta: 3:51:32 iter: 41139 total_loss: 1.974 loss_cls: 0.006805 loss_box_reg: 0.01844 loss_rpn_cls: 0.04252 loss_rpn_loc: 0.001331 loss_D_img_s: 0.7037 loss_cls_pseudo: 0.0006408 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5215 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.668 time: 1.6020 last_time: 1.4589 data_time: 0.0078 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 07:54:43] d2.utils.events INFO: eta: 3:51:00 iter: 41159 total_loss: 1.896 loss_cls: 0.005099 loss_box_reg: 0.01681 loss_rpn_cls: 0.08076 loss_rpn_loc: 0.001148 loss_D_img_s: 0.6523 loss_cls_pseudo: 0.0009437 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3994 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.691 time: 1.6020 last_time: 1.4793 data_time: 0.0084 last_data_time: 0.0111 lr: 0.02 max_mem: 14768M +[04/11 07:55:14] d2.utils.events INFO: eta: 3:50:31 iter: 41179 total_loss: 1.882 loss_cls: 0.009447 loss_box_reg: 0.01573 loss_rpn_cls: 0.03207 loss_rpn_loc: 0.001177 loss_D_img_s: 0.7172 loss_cls_pseudo: 0.0009072 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3397 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6558 time: 1.6020 last_time: 1.5460 data_time: 0.0080 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 07:55:47] d2.utils.events INFO: eta: 3:50:12 iter: 41199 total_loss: 1.788 loss_cls: 0.007834 loss_box_reg: 0.01308 loss_rpn_cls: 0.07233 loss_rpn_loc: 0.001002 loss_D_img_s: 0.6787 loss_cls_pseudo: 0.0008735 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4027 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6036 time: 1.6020 last_time: 1.6855 data_time: 0.0077 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 07:56:18] d2.utils.events INFO: eta: 3:49:32 iter: 41219 total_loss: 1.873 loss_cls: 0.006118 loss_box_reg: 0.01737 loss_rpn_cls: 0.06737 loss_rpn_loc: 0.001267 loss_D_img_s: 0.7259 loss_cls_pseudo: 0.001084 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.36 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6518 time: 1.6020 last_time: 1.6734 data_time: 0.0082 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 07:56:50] d2.utils.events INFO: eta: 3:49:18 iter: 41239 total_loss: 1.734 loss_cls: 0.007727 loss_box_reg: 0.01547 loss_rpn_cls: 0.03427 loss_rpn_loc: 0.001673 loss_D_img_s: 0.663 loss_cls_pseudo: 0.001286 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1904 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6646 time: 1.6020 last_time: 1.7656 data_time: 0.0076 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 07:57:22] d2.utils.events INFO: eta: 3:48:49 iter: 41259 total_loss: 1.895 loss_cls: 0.007782 loss_box_reg: 0.01673 loss_rpn_cls: 0.02383 loss_rpn_loc: 0.001319 loss_D_img_s: 0.7367 loss_cls_pseudo: 0.001503 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4766 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.628 time: 1.6019 last_time: 1.5810 data_time: 0.0076 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 07:57:54] d2.utils.events INFO: eta: 3:48:09 iter: 41279 total_loss: 2.056 loss_cls: 0.008897 loss_box_reg: 0.01494 loss_rpn_cls: 0.1337 loss_rpn_loc: 0.001334 loss_D_img_s: 0.6737 loss_cls_pseudo: 0.001649 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5058 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7646 time: 1.6019 last_time: 1.9686 data_time: 0.0073 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 07:58:25] d2.utils.events INFO: eta: 3:47:38 iter: 41299 total_loss: 2.049 loss_cls: 0.007579 loss_box_reg: 0.01542 loss_rpn_cls: 0.0819 loss_rpn_loc: 0.00129 loss_D_img_s: 0.6551 loss_cls_pseudo: 0.0004653 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4958 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7616 time: 1.6018 last_time: 1.5399 data_time: 0.0087 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 07:58:56] d2.utils.events INFO: eta: 3:47:10 iter: 41319 total_loss: 1.923 loss_cls: 0.005207 loss_box_reg: 0.01398 loss_rpn_cls: 0.0438 loss_rpn_loc: 0.001275 loss_D_img_s: 0.6591 loss_cls_pseudo: 0.001767 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4875 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7227 time: 1.6018 last_time: 1.4668 data_time: 0.0075 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 07:59:29] d2.utils.events INFO: eta: 3:46:44 iter: 41339 total_loss: 1.933 loss_cls: 0.009195 loss_box_reg: 0.01379 loss_rpn_cls: 0.06432 loss_rpn_loc: 0.001177 loss_D_img_s: 0.6908 loss_cls_pseudo: 0.001658 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4888 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6638 time: 1.6018 last_time: 1.5822 data_time: 0.0080 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 08:00:00] d2.utils.events INFO: eta: 3:46:05 iter: 41359 total_loss: 1.752 loss_cls: 0.00963 loss_box_reg: 0.01653 loss_rpn_cls: 0.03862 loss_rpn_loc: 0.001327 loss_D_img_s: 0.7168 loss_cls_pseudo: 0.0008887 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2645 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6744 time: 1.6018 last_time: 1.4754 data_time: 0.0077 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 08:00:32] d2.utils.events INFO: eta: 3:45:31 iter: 41379 total_loss: 1.932 loss_cls: 0.00764 loss_box_reg: 0.01686 loss_rpn_cls: 0.02785 loss_rpn_loc: 0.001055 loss_D_img_s: 0.6831 loss_cls_pseudo: 0.0007464 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.497 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7003 time: 1.6018 last_time: 1.5651 data_time: 0.0076 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 08:01:04] d2.utils.events INFO: eta: 3:45:01 iter: 41399 total_loss: 1.791 loss_cls: 0.01101 loss_box_reg: 0.01617 loss_rpn_cls: 0.05629 loss_rpn_loc: 0.001785 loss_D_img_s: 0.6954 loss_cls_pseudo: 0.0008957 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2757 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6354 time: 1.6018 last_time: 1.4202 data_time: 0.0077 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 08:01:35] d2.utils.events INFO: eta: 3:44:37 iter: 41419 total_loss: 1.948 loss_cls: 0.007909 loss_box_reg: 0.0162 loss_rpn_cls: 0.04623 loss_rpn_loc: 0.001209 loss_D_img_s: 0.7314 loss_cls_pseudo: 0.0009433 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5113 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6513 time: 1.6018 last_time: 1.4022 data_time: 0.0077 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 08:02:06] d2.utils.events INFO: eta: 3:44:06 iter: 41439 total_loss: 1.846 loss_cls: 0.007802 loss_box_reg: 0.01488 loss_rpn_cls: 0.03506 loss_rpn_loc: 0.00123 loss_D_img_s: 0.7001 loss_cls_pseudo: 0.000701 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4753 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6654 time: 1.6017 last_time: 1.5515 data_time: 0.0074 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 08:02:38] d2.utils.events INFO: eta: 3:43:34 iter: 41459 total_loss: 1.893 loss_cls: 0.005863 loss_box_reg: 0.0149 loss_rpn_cls: 0.01772 loss_rpn_loc: 0.001146 loss_D_img_s: 0.7326 loss_cls_pseudo: 0.0002586 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.475 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6798 time: 1.6017 last_time: 1.6553 data_time: 0.0078 last_data_time: 0.0119 lr: 0.02 max_mem: 14768M +[04/11 08:03:09] d2.utils.events INFO: eta: 3:42:56 iter: 41479 total_loss: 1.833 loss_cls: 0.006766 loss_box_reg: 0.01419 loss_rpn_cls: 0.02162 loss_rpn_loc: 0.001119 loss_D_img_s: 0.6973 loss_cls_pseudo: 0.003202 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.423 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.697 time: 1.6016 last_time: 1.5605 data_time: 0.0073 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 08:03:41] d2.utils.events INFO: eta: 3:42:22 iter: 41499 total_loss: 1.957 loss_cls: 0.007217 loss_box_reg: 0.01267 loss_rpn_cls: 0.1415 loss_rpn_loc: 0.001329 loss_D_img_s: 0.7305 loss_cls_pseudo: 0.000721 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4695 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6529 time: 1.6016 last_time: 1.5168 data_time: 0.0078 last_data_time: 0.0057 lr: 0.02 max_mem: 14768M +[04/11 08:04:13] d2.utils.events INFO: eta: 3:41:53 iter: 41519 total_loss: 1.78 loss_cls: 0.01003 loss_box_reg: 0.01676 loss_rpn_cls: 0.033 loss_rpn_loc: 0.001218 loss_D_img_s: 0.647 loss_cls_pseudo: 0.002139 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2603 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7478 time: 1.6016 last_time: 1.5482 data_time: 0.0072 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 08:04:44] d2.utils.events INFO: eta: 3:41:20 iter: 41539 total_loss: 1.96 loss_cls: 0.009347 loss_box_reg: 0.01947 loss_rpn_cls: 0.01213 loss_rpn_loc: 0.001044 loss_D_img_s: 0.6842 loss_cls_pseudo: 0.00109 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4707 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6777 time: 1.6016 last_time: 1.4534 data_time: 0.0077 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 08:05:16] d2.utils.events INFO: eta: 3:40:45 iter: 41559 total_loss: 2.013 loss_cls: 0.008694 loss_box_reg: 0.01614 loss_rpn_cls: 0.131 loss_rpn_loc: 0.001554 loss_D_img_s: 0.7526 loss_cls_pseudo: 0.001075 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.461 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6178 time: 1.6015 last_time: 1.6413 data_time: 0.0076 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 08:05:48] d2.utils.events INFO: eta: 3:40:18 iter: 41579 total_loss: 1.877 loss_cls: 0.005964 loss_box_reg: 0.01613 loss_rpn_cls: 0.06887 loss_rpn_loc: 0.001102 loss_D_img_s: 0.6664 loss_cls_pseudo: 0.00101 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.424 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6972 time: 1.6015 last_time: 1.6567 data_time: 0.0077 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 08:06:19] d2.utils.events INFO: eta: 3:39:46 iter: 41599 total_loss: 1.865 loss_cls: 0.004957 loss_box_reg: 0.01474 loss_rpn_cls: 0.03784 loss_rpn_loc: 0.001117 loss_D_img_s: 0.6748 loss_cls_pseudo: 0.001136 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4952 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6604 time: 1.6015 last_time: 1.5902 data_time: 0.0077 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 08:06:50] d2.utils.events INFO: eta: 3:39:08 iter: 41619 total_loss: 1.644 loss_cls: 0.005935 loss_box_reg: 0.01382 loss_rpn_cls: 0.02176 loss_rpn_loc: 0.0009958 loss_D_img_s: 0.6956 loss_cls_pseudo: 0.002125 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.203 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6696 time: 1.6014 last_time: 1.4557 data_time: 0.0077 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 08:07:22] d2.utils.events INFO: eta: 3:38:44 iter: 41639 total_loss: 1.795 loss_cls: 0.01441 loss_box_reg: 0.0201 loss_rpn_cls: 0.01414 loss_rpn_loc: 0.001608 loss_D_img_s: 0.819 loss_cls_pseudo: 0.0009518 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4514 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6036 time: 1.6014 last_time: 1.5874 data_time: 0.0083 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 08:07:54] d2.utils.events INFO: eta: 3:38:12 iter: 41659 total_loss: 1.983 loss_cls: 0.007847 loss_box_reg: 0.01573 loss_rpn_cls: 0.08346 loss_rpn_loc: 0.001298 loss_D_img_s: 0.6365 loss_cls_pseudo: 0.002071 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4888 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7431 time: 1.6014 last_time: 1.8454 data_time: 0.0084 last_data_time: 0.0153 lr: 0.02 max_mem: 14768M +[04/11 08:08:25] d2.utils.events INFO: eta: 3:37:40 iter: 41679 total_loss: 1.634 loss_cls: 0.009798 loss_box_reg: 0.01595 loss_rpn_cls: 0.01444 loss_rpn_loc: 0.0009805 loss_D_img_s: 0.6256 loss_cls_pseudo: 0.001545 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1767 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6994 time: 1.6014 last_time: 1.6377 data_time: 0.0078 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 08:08:58] d2.utils.events INFO: eta: 3:37:09 iter: 41699 total_loss: 1.866 loss_cls: 0.006864 loss_box_reg: 0.01497 loss_rpn_cls: 0.02245 loss_rpn_loc: 0.001131 loss_D_img_s: 0.7846 loss_cls_pseudo: 0.001249 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.438 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6006 time: 1.6014 last_time: 1.5925 data_time: 0.0080 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 08:09:29] d2.utils.events INFO: eta: 3:36:34 iter: 41719 total_loss: 1.87 loss_cls: 0.007426 loss_box_reg: 0.01688 loss_rpn_cls: 0.02752 loss_rpn_loc: 0.001141 loss_D_img_s: 0.6663 loss_cls_pseudo: 0.0006983 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4538 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6956 time: 1.6013 last_time: 1.4568 data_time: 0.0077 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 08:10:01] d2.utils.events INFO: eta: 3:36:03 iter: 41739 total_loss: 1.933 loss_cls: 0.00696 loss_box_reg: 0.02016 loss_rpn_cls: 0.02482 loss_rpn_loc: 0.001444 loss_D_img_s: 0.612 loss_cls_pseudo: 0.0004608 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4749 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.716 time: 1.6013 last_time: 1.6547 data_time: 0.0083 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 08:10:33] d2.utils.events INFO: eta: 3:35:32 iter: 41759 total_loss: 1.825 loss_cls: 0.00508 loss_box_reg: 0.01272 loss_rpn_cls: 0.03471 loss_rpn_loc: 0.001283 loss_D_img_s: 0.731 loss_cls_pseudo: 0.0019 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3322 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7092 time: 1.6013 last_time: 1.5550 data_time: 0.0078 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 08:11:04] d2.utils.events INFO: eta: 3:34:55 iter: 41779 total_loss: 1.931 loss_cls: 0.008617 loss_box_reg: 0.01479 loss_rpn_cls: 0.09536 loss_rpn_loc: 0.001422 loss_D_img_s: 0.7291 loss_cls_pseudo: 0.002182 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3857 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6541 time: 1.6012 last_time: 1.5730 data_time: 0.0076 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 08:11:35] d2.utils.events INFO: eta: 3:34:31 iter: 41799 total_loss: 1.983 loss_cls: 0.006342 loss_box_reg: 0.01362 loss_rpn_cls: 0.1029 loss_rpn_loc: 0.001144 loss_D_img_s: 0.6936 loss_cls_pseudo: 0.001394 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4912 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6849 time: 1.6012 last_time: 1.6355 data_time: 0.0093 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 08:12:07] d2.utils.events INFO: eta: 3:34:00 iter: 41819 total_loss: 1.987 loss_cls: 0.007977 loss_box_reg: 0.01602 loss_rpn_cls: 0.05301 loss_rpn_loc: 0.001437 loss_D_img_s: 0.6899 loss_cls_pseudo: 0.002163 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5299 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.697 time: 1.6012 last_time: 1.6672 data_time: 0.0078 last_data_time: 0.0099 lr: 0.02 max_mem: 14768M +[04/11 08:12:39] d2.utils.events INFO: eta: 3:33:31 iter: 41839 total_loss: 1.91 loss_cls: 0.005125 loss_box_reg: 0.01405 loss_rpn_cls: 0.05054 loss_rpn_loc: 0.0009058 loss_D_img_s: 0.7009 loss_cls_pseudo: 0.001283 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4746 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6787 time: 1.6012 last_time: 1.6866 data_time: 0.0079 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 08:13:10] d2.utils.events INFO: eta: 3:32:58 iter: 41859 total_loss: 1.91 loss_cls: 0.006672 loss_box_reg: 0.01292 loss_rpn_cls: 0.01946 loss_rpn_loc: 0.0009278 loss_D_img_s: 0.7155 loss_cls_pseudo: 0.0002172 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4597 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6887 time: 1.6012 last_time: 1.5627 data_time: 0.0083 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 08:13:42] d2.utils.events INFO: eta: 3:32:24 iter: 41879 total_loss: 1.856 loss_cls: 0.006953 loss_box_reg: 0.01634 loss_rpn_cls: 0.02834 loss_rpn_loc: 0.001177 loss_D_img_s: 0.7045 loss_cls_pseudo: 0.0006363 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3696 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6761 time: 1.6011 last_time: 1.6268 data_time: 0.0077 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 08:14:14] d2.utils.events INFO: eta: 3:32:03 iter: 41899 total_loss: 1.964 loss_cls: 0.006918 loss_box_reg: 0.01736 loss_rpn_cls: 0.04906 loss_rpn_loc: 0.001305 loss_D_img_s: 0.6941 loss_cls_pseudo: 0.001407 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4876 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6876 time: 1.6012 last_time: 1.5973 data_time: 0.0082 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 08:14:47] d2.utils.events INFO: eta: 3:31:32 iter: 41919 total_loss: 1.873 loss_cls: 0.007182 loss_box_reg: 0.01726 loss_rpn_cls: 0.02334 loss_rpn_loc: 0.001059 loss_D_img_s: 0.6961 loss_cls_pseudo: 0.000855 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3512 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6851 time: 1.6012 last_time: 1.5199 data_time: 0.0077 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 08:15:18] d2.utils.events INFO: eta: 3:31:01 iter: 41939 total_loss: 1.905 loss_cls: 0.007628 loss_box_reg: 0.01688 loss_rpn_cls: 0.01061 loss_rpn_loc: 0.001063 loss_D_img_s: 0.7005 loss_cls_pseudo: 0.0005463 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5067 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6565 time: 1.6011 last_time: 1.5420 data_time: 0.0074 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 08:15:49] d2.utils.events INFO: eta: 3:30:32 iter: 41959 total_loss: 1.866 loss_cls: 0.008019 loss_box_reg: 0.01478 loss_rpn_cls: 0.03484 loss_rpn_loc: 0.001156 loss_D_img_s: 0.7026 loss_cls_pseudo: 0.0005805 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4058 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6781 time: 1.6011 last_time: 1.4979 data_time: 0.0080 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 08:16:21] d2.utils.events INFO: eta: 3:29:58 iter: 41979 total_loss: 1.704 loss_cls: 0.007985 loss_box_reg: 0.01488 loss_rpn_cls: 0.03797 loss_rpn_loc: 0.001166 loss_D_img_s: 0.6832 loss_cls_pseudo: 0.002052 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1762 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7093 time: 1.6011 last_time: 1.5197 data_time: 0.0077 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 08:16:52] d2.data.common INFO: Serializing the dataset using: +[04/11 08:16:52] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 08:16:52] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 08:16:52] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 08:16:52] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 08:16:53] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0133 s/iter. Inference: 0.0542 s/iter. Eval: 0.0001 s/iter. Total: 0.0677 s/iter. ETA=0:00:27 +[04/11 08:16:58] d2.evaluation.evaluator INFO: Inference done 81/410. Dataloading: 0.0105 s/iter. Inference: 0.0603 s/iter. Eval: 0.0002 s/iter. Total: 0.0712 s/iter. ETA=0:00:23 +[04/11 08:17:03] d2.evaluation.evaluator INFO: Inference done 152/410. Dataloading: 0.0109 s/iter. Inference: 0.0598 s/iter. Eval: 0.0002 s/iter. Total: 0.0710 s/iter. ETA=0:00:18 +[04/11 08:17:08] d2.evaluation.evaluator INFO: Inference done 226/410. Dataloading: 0.0103 s/iter. Inference: 0.0593 s/iter. Eval: 0.0002 s/iter. Total: 0.0700 s/iter. ETA=0:00:12 +[04/11 08:17:13] d2.evaluation.evaluator INFO: Inference done 300/410. Dataloading: 0.0099 s/iter. Inference: 0.0594 s/iter. Eval: 0.0002 s/iter. Total: 0.0695 s/iter. ETA=0:00:07 +[04/11 08:17:18] d2.evaluation.evaluator INFO: Inference done 376/410. Dataloading: 0.0102 s/iter. Inference: 0.0584 s/iter. Eval: 0.0002 s/iter. Total: 0.0689 s/iter. ETA=0:00:02 +[04/11 08:17:20] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.735851 (0.068484 s / iter per device, on 1 devices) +[04/11 08:17:20] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.058198 s / iter per device, on 1 devices) +[04/11 08:17:20] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 08:17:20] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 08:17:20] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 08:17:20] d2.evaluation.testing INFO: copypaste: 3.2538,10.1887,2.0722 +[04/11 08:17:20] d2.data.common INFO: Serializing the dataset using: +[04/11 08:17:20] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 08:17:20] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 08:17:20] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 08:17:20] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 08:17:23] d2.evaluation.evaluator INFO: Inference done 33/410. Dataloading: 0.0132 s/iter. Inference: 0.0582 s/iter. Eval: 0.0002 s/iter. Total: 0.0716 s/iter. ETA=0:00:27 +[04/11 08:17:28] d2.evaluation.evaluator INFO: Inference done 107/410. Dataloading: 0.0084 s/iter. Inference: 0.0599 s/iter. Eval: 0.0003 s/iter. Total: 0.0687 s/iter. ETA=0:00:20 +[04/11 08:17:33] d2.evaluation.evaluator INFO: Inference done 188/410. Dataloading: 0.0072 s/iter. Inference: 0.0582 s/iter. Eval: 0.0003 s/iter. Total: 0.0659 s/iter. ETA=0:00:14 +[04/11 08:17:38] d2.evaluation.evaluator INFO: Inference done 264/410. Dataloading: 0.0070 s/iter. Inference: 0.0585 s/iter. Eval: 0.0003 s/iter. Total: 0.0659 s/iter. ETA=0:00:09 +[04/11 08:17:43] d2.evaluation.evaluator INFO: Inference done 334/410. Dataloading: 0.0081 s/iter. Inference: 0.0586 s/iter. Eval: 0.0003 s/iter. Total: 0.0671 s/iter. ETA=0:00:05 +[04/11 08:17:48] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.720994 (0.065978 s / iter per device, on 1 devices) +[04/11 08:17:48] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057571 s / iter per device, on 1 devices) +[04/11 08:17:48] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 08:17:48] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 08:17:48] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 08:17:48] d2.evaluation.testing INFO: copypaste: 2.3847,9.3820,0.1016 +[04/11 08:17:48] d2.utils.events INFO: eta: 3:29:11 iter: 41999 total_loss: 1.631 loss_cls: 0.0105 loss_box_reg: 0.01625 loss_rpn_cls: 0.01758 loss_rpn_loc: 0.001189 loss_D_img_s: 0.6996 loss_cls_pseudo: 0.000771 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1788 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6909 time: 1.6010 last_time: 1.6077 data_time: 0.0074 last_data_time: 0.0085 lr: 0.02 max_mem: 14768M +[04/11 08:18:19] d2.utils.events INFO: eta: 3:28:43 iter: 42019 total_loss: 1.958 loss_cls: 0.006181 loss_box_reg: 0.01322 loss_rpn_cls: 0.03215 loss_rpn_loc: 0.001333 loss_D_img_s: 0.6781 loss_cls_pseudo: 0.0006669 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5138 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.702 time: 1.6009 last_time: 1.6669 data_time: 0.0083 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 08:18:51] d2.utils.events INFO: eta: 3:28:16 iter: 42039 total_loss: 1.691 loss_cls: 0.007608 loss_box_reg: 0.01506 loss_rpn_cls: 0.022 loss_rpn_loc: 0.001151 loss_D_img_s: 0.6515 loss_cls_pseudo: 0.001107 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2327 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6854 time: 1.6009 last_time: 1.8300 data_time: 0.0079 last_data_time: 0.0098 lr: 0.02 max_mem: 14768M +[04/11 08:19:22] d2.utils.events INFO: eta: 3:27:31 iter: 42059 total_loss: 1.874 loss_cls: 0.007901 loss_box_reg: 0.0152 loss_rpn_cls: 0.05123 loss_rpn_loc: 0.001242 loss_D_img_s: 0.6604 loss_cls_pseudo: 0.0004788 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4823 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6716 time: 1.6009 last_time: 1.4460 data_time: 0.0080 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 08:19:54] d2.utils.events INFO: eta: 3:26:57 iter: 42079 total_loss: 1.893 loss_cls: 0.00894 loss_box_reg: 0.01675 loss_rpn_cls: 0.02936 loss_rpn_loc: 0.001355 loss_D_img_s: 0.7072 loss_cls_pseudo: 0.0006412 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4768 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6579 time: 1.6008 last_time: 1.4669 data_time: 0.0071 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 08:20:25] d2.utils.events INFO: eta: 3:26:23 iter: 42099 total_loss: 1.765 loss_cls: 0.01143 loss_box_reg: 0.02359 loss_rpn_cls: 0.02491 loss_rpn_loc: 0.00121 loss_D_img_s: 0.6473 loss_cls_pseudo: 0.001458 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3052 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7312 time: 1.6008 last_time: 1.6363 data_time: 0.0083 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 08:20:57] d2.utils.events INFO: eta: 3:25:49 iter: 42119 total_loss: 1.843 loss_cls: 0.008906 loss_box_reg: 0.01608 loss_rpn_cls: 0.03406 loss_rpn_loc: 0.001184 loss_D_img_s: 0.744 loss_cls_pseudo: 0.001071 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3872 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6615 time: 1.6008 last_time: 1.9296 data_time: 0.0084 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 08:21:28] d2.utils.events INFO: eta: 3:25:16 iter: 42139 total_loss: 1.897 loss_cls: 0.005421 loss_box_reg: 0.01419 loss_rpn_cls: 0.0515 loss_rpn_loc: 0.0009848 loss_D_img_s: 0.7122 loss_cls_pseudo: 0.001535 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4635 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6615 time: 1.6008 last_time: 1.6819 data_time: 0.0075 last_data_time: 0.0090 lr: 0.02 max_mem: 14768M +[04/11 08:22:00] d2.utils.events INFO: eta: 3:24:42 iter: 42159 total_loss: 1.779 loss_cls: 0.008529 loss_box_reg: 0.01856 loss_rpn_cls: 0.02151 loss_rpn_loc: 0.001153 loss_D_img_s: 0.6596 loss_cls_pseudo: 0.00136 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.275 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6913 time: 1.6007 last_time: 1.5622 data_time: 0.0078 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 08:22:31] d2.utils.events INFO: eta: 3:24:08 iter: 42179 total_loss: 1.855 loss_cls: 0.007459 loss_box_reg: 0.01418 loss_rpn_cls: 0.01756 loss_rpn_loc: 0.001199 loss_D_img_s: 0.7243 loss_cls_pseudo: 0.001859 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4729 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6493 time: 1.6007 last_time: 1.4278 data_time: 0.0085 last_data_time: 0.0098 lr: 0.02 max_mem: 14768M +[04/11 08:23:02] d2.utils.events INFO: eta: 3:23:32 iter: 42199 total_loss: 1.606 loss_cls: 0.006848 loss_box_reg: 0.01454 loss_rpn_cls: 0.01261 loss_rpn_loc: 0.001081 loss_D_img_s: 0.6257 loss_cls_pseudo: 0.001098 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2376 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7089 time: 1.6006 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loss_box_reg: 0.01583 loss_rpn_cls: 0.1264 loss_rpn_loc: 0.001106 loss_D_img_s: 0.6915 loss_cls_pseudo: 0.0007978 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4823 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6632 time: 1.6005 last_time: 1.4741 data_time: 0.0075 last_data_time: 0.0061 lr: 0.02 max_mem: 14768M +[04/11 08:25:08] d2.utils.events INFO: eta: 3:21:22 iter: 42279 total_loss: 1.95 loss_cls: 0.005782 loss_box_reg: 0.01388 loss_rpn_cls: 0.04314 loss_rpn_loc: 0.001153 loss_D_img_s: 0.6569 loss_cls_pseudo: 0.0007965 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.692 time: 1.6005 last_time: 1.4378 data_time: 0.0075 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 08:25:39] d2.utils.events INFO: eta: 3:20:53 iter: 42299 total_loss: 1.874 loss_cls: 0.007973 loss_box_reg: 0.01562 loss_rpn_cls: 0.03162 loss_rpn_loc: 0.001099 loss_D_img_s: 0.7814 loss_cls_pseudo: 0.002064 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3349 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6315 time: 1.6005 last_time: 1.5509 data_time: 0.0076 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 08:26:10] d2.utils.events INFO: eta: 3:20:20 iter: 42319 total_loss: 1.897 loss_cls: 0.01152 loss_box_reg: 0.01573 loss_rpn_cls: 0.07773 loss_rpn_loc: 0.001111 loss_D_img_s: 0.7001 loss_cls_pseudo: 0.002006 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4575 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6875 time: 1.6004 last_time: 1.5360 data_time: 0.0078 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 08:26:42] d2.utils.events INFO: eta: 3:19:48 iter: 42339 total_loss: 1.9 loss_cls: 0.009922 loss_box_reg: 0.01793 loss_rpn_cls: 0.03735 loss_rpn_loc: 0.00127 loss_D_img_s: 0.6826 loss_cls_pseudo: 0.001308 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4632 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7026 time: 1.6004 last_time: 1.5820 data_time: 0.0082 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 08:27:13] d2.utils.events INFO: eta: 3:19:17 iter: 42359 total_loss: 1.983 loss_cls: 0.007062 loss_box_reg: 0.01613 loss_rpn_cls: 0.02715 loss_rpn_loc: 0.001183 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.001744 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4732 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6685 time: 1.6003 last_time: 1.4147 data_time: 0.0081 last_data_time: 0.0114 lr: 0.02 max_mem: 14768M +[04/11 08:27:44] d2.utils.events INFO: eta: 3:18:44 iter: 42379 total_loss: 1.787 loss_cls: 0.01035 loss_box_reg: 0.01736 loss_rpn_cls: 0.01912 loss_rpn_loc: 0.001144 loss_D_img_s: 0.6682 loss_cls_pseudo: 0.001063 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2301 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7257 time: 1.6003 last_time: 1.7009 data_time: 0.0080 last_data_time: 0.0096 lr: 0.02 max_mem: 14768M +[04/11 08:28:15] d2.utils.events INFO: eta: 3:18:05 iter: 42399 total_loss: 1.902 loss_cls: 0.009775 loss_box_reg: 0.01896 loss_rpn_cls: 0.03955 loss_rpn_loc: 0.001093 loss_D_img_s: 0.7221 loss_cls_pseudo: 0.001103 loss_box_reg_pseudo: 0 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d2.utils.events INFO: eta: 3:16:25 iter: 42459 total_loss: 1.635 loss_cls: 0.006255 loss_box_reg: 0.01718 loss_rpn_cls: 0.03102 loss_rpn_loc: 0.001238 loss_D_img_s: 0.6862 loss_cls_pseudo: 0.0009612 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1466 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7064 time: 1.6001 last_time: 1.5570 data_time: 0.0074 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 08:30:20] d2.utils.events INFO: eta: 3:15:59 iter: 42479 total_loss: 1.98 loss_cls: 0.01082 loss_box_reg: 0.0197 loss_rpn_cls: 0.09794 loss_rpn_loc: 0.001181 loss_D_img_s: 0.676 loss_cls_pseudo: 0.0004318 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4923 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6895 time: 1.6000 last_time: 1.5981 data_time: 0.0079 last_data_time: 0.0109 lr: 0.02 max_mem: 14768M +[04/11 08:30:52] d2.utils.events INFO: eta: 3:15:29 iter: 42499 total_loss: 1.664 loss_cls: 0.00822 loss_box_reg: 0.01639 loss_rpn_cls: 0.03445 loss_rpn_loc: 0.001286 loss_D_img_s: 0.6869 loss_cls_pseudo: 0.0009331 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1926 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6862 time: 1.6000 last_time: 1.6455 data_time: 0.0080 last_data_time: 0.0057 lr: 0.02 max_mem: 14768M +[04/11 08:31:24] d2.utils.events INFO: eta: 3:14:48 iter: 42519 total_loss: 2.004 loss_cls: 0.007432 loss_box_reg: 0.01585 loss_rpn_cls: 0.02173 loss_rpn_loc: 0.001137 loss_D_img_s: 0.6802 loss_cls_pseudo: 0.001715 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5082 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6884 time: 1.6000 last_time: 1.5210 data_time: 0.0078 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 08:31:55] d2.utils.events INFO: eta: 3:14:16 iter: 42539 total_loss: 1.777 loss_cls: 0.006307 loss_box_reg: 0.0136 loss_rpn_cls: 0.06782 loss_rpn_loc: 0.001135 loss_D_img_s: 0.6681 loss_cls_pseudo: 0.0009079 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2609 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6882 time: 1.6000 last_time: 1.5625 data_time: 0.0080 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 08:32:26] d2.utils.events INFO: eta: 3:13:32 iter: 42559 total_loss: 1.649 loss_cls: 0.00474 loss_box_reg: 0.01494 loss_rpn_cls: 0.01757 loss_rpn_loc: 0.001354 loss_D_img_s: 0.6739 loss_cls_pseudo: 0.0006783 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1691 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7031 time: 1.5999 last_time: 1.6975 data_time: 0.0082 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 08:32:58] d2.utils.events INFO: eta: 3:12:58 iter: 42579 total_loss: 1.924 loss_cls: 0.004763 loss_box_reg: 0.01471 loss_rpn_cls: 0.0433 loss_rpn_loc: 0.0008799 loss_D_img_s: 0.7225 loss_cls_pseudo: 0.001308 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4749 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6608 time: 1.5999 last_time: 1.4587 data_time: 0.0083 last_data_time: 0.0061 lr: 0.02 max_mem: 14768M +[04/11 08:33:30] d2.utils.events INFO: eta: 3:12:27 iter: 42599 total_loss: 1.948 loss_cls: 0.008444 loss_box_reg: 0.01596 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INFO: eta: 3:07:00 iter: 42799 total_loss: 1.781 loss_cls: 0.007242 loss_box_reg: 0.01458 loss_rpn_cls: 0.04243 loss_rpn_loc: 0.001401 loss_D_img_s: 0.6891 loss_cls_pseudo: 0.001416 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2871 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6836 time: 1.5996 last_time: 1.4494 data_time: 0.0085 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 08:39:15] d2.utils.events INFO: eta: 3:06:21 iter: 42819 total_loss: 1.73 loss_cls: 0.008108 loss_box_reg: 0.01608 loss_rpn_cls: 0.02052 loss_rpn_loc: 0.001486 loss_D_img_s: 0.6587 loss_cls_pseudo: 0.001411 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1851 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7103 time: 1.5995 last_time: 1.5496 data_time: 0.0076 last_data_time: 0.0061 lr: 0.02 max_mem: 14768M +[04/11 08:39:48] d2.utils.events INFO: eta: 3:05:51 iter: 42839 total_loss: 1.922 loss_cls: 0.007327 loss_box_reg: 0.01693 loss_rpn_cls: 0.02932 loss_rpn_loc: 0.0009988 loss_D_img_s: 0.7222 loss_cls_pseudo: 0.001437 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4826 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6652 time: 1.5996 last_time: 1.6709 data_time: 0.0081 last_data_time: 0.0090 lr: 0.02 max_mem: 14768M +[04/11 08:40:19] d2.utils.events INFO: eta: 3:05:26 iter: 42859 total_loss: 1.812 loss_cls: 0.007373 loss_box_reg: 0.01571 loss_rpn_cls: 0.01761 loss_rpn_loc: 0.001659 loss_D_img_s: 0.7133 loss_cls_pseudo: 0.0008055 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.396 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6754 time: 1.5995 last_time: 1.5539 data_time: 0.0077 last_data_time: 0.0113 lr: 0.02 max_mem: 14768M +[04/11 08:40:51] d2.utils.events INFO: eta: 3:04:55 iter: 42879 total_loss: 1.941 loss_cls: 0.0044 loss_box_reg: 0.01568 loss_rpn_cls: 0.02731 loss_rpn_loc: 0.001056 loss_D_img_s: 0.681 loss_cls_pseudo: 0.0004007 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4837 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6871 time: 1.5995 last_time: 1.4438 data_time: 0.0079 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 08:41:23] d2.utils.events INFO: eta: 3:04:16 iter: 42899 total_loss: 1.729 loss_cls: 0.004734 loss_box_reg: 0.01492 loss_rpn_cls: 0.03766 loss_rpn_loc: 0.001224 loss_D_img_s: 0.7113 loss_cls_pseudo: 0.0008909 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2274 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.679 time: 1.5995 last_time: 1.6176 data_time: 0.0079 last_data_time: 0.0099 lr: 0.02 max_mem: 14768M +[04/11 08:41:53] d2.utils.events INFO: eta: 3:03:37 iter: 42919 total_loss: 1.66 loss_cls: 0.005639 loss_box_reg: 0.01535 loss_rpn_cls: 0.01629 loss_rpn_loc: 0.0009812 loss_D_img_s: 0.7022 loss_cls_pseudo: 0.001074 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1673 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 1.5994 last_time: 1.5371 data_time: 0.0086 last_data_time: 0.0059 lr: 0.02 max_mem: 14768M +[04/11 08:42:25] d2.utils.events INFO: eta: 3:03:04 iter: 42939 total_loss: 1.961 loss_cls: 0.007242 loss_box_reg: 0.01503 loss_rpn_cls: 0.04376 loss_rpn_loc: 0.001033 loss_D_img_s: 0.717 loss_cls_pseudo: 0.0009692 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4686 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6721 time: 1.5994 last_time: 1.4045 data_time: 0.0080 last_data_time: 0.0097 lr: 0.02 max_mem: 14768M +[04/11 08:42:56] d2.utils.events INFO: eta: 3:02:32 iter: 42959 total_loss: 1.96 loss_cls: 0.009191 loss_box_reg: 0.01506 loss_rpn_cls: 0.03509 loss_rpn_loc: 0.001314 loss_D_img_s: 0.7031 loss_cls_pseudo: 0.0017 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4705 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6888 time: 1.5994 last_time: 1.4508 data_time: 0.0082 last_data_time: 0.0061 lr: 0.02 max_mem: 14768M +[04/11 08:43:29] d2.utils.events INFO: eta: 3:02:01 iter: 42979 total_loss: 1.878 loss_cls: 0.007296 loss_box_reg: 0.01404 loss_rpn_cls: 0.05636 loss_rpn_loc: 0.001263 loss_D_img_s: 0.6885 loss_cls_pseudo: 0.0006635 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4073 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6876 time: 1.5994 last_time: 1.5200 data_time: 0.0090 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 08:44:00] d2.data.common INFO: Serializing the dataset using: +[04/11 08:44:00] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 08:44:00] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 08:44:00] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 08:44:00] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 08:44:01] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0327 s/iter. Inference: 0.0604 s/iter. Eval: 0.0012 s/iter. Total: 0.0944 s/iter. ETA=0:00:37 +[04/11 08:44:06] d2.evaluation.evaluator INFO: Inference done 78/410. Dataloading: 0.0160 s/iter. Inference: 0.0596 s/iter. Eval: 0.0009 s/iter. Total: 0.0765 s/iter. ETA=0:00:25 +[04/11 08:44:11] d2.evaluation.evaluator INFO: Inference done 149/410. Dataloading: 0.0143 s/iter. Inference: 0.0587 s/iter. Eval: 0.0009 s/iter. Total: 0.0739 s/iter. ETA=0:00:19 +[04/11 08:44:16] d2.evaluation.evaluator INFO: Inference done 220/410. Dataloading: 0.0139 s/iter. Inference: 0.0580 s/iter. Eval: 0.0009 s/iter. Total: 0.0728 s/iter. ETA=0:00:13 +[04/11 08:44:21] d2.evaluation.evaluator INFO: Inference done 291/410. Dataloading: 0.0133 s/iter. Inference: 0.0580 s/iter. Eval: 0.0009 s/iter. Total: 0.0723 s/iter. ETA=0:00:08 +[04/11 08:44:26] d2.evaluation.evaluator INFO: Inference done 362/410. Dataloading: 0.0131 s/iter. Inference: 0.0579 s/iter. Eval: 0.0009 s/iter. Total: 0.0720 s/iter. ETA=0:00:03 +[04/11 08:44:29] d2.evaluation.evaluator INFO: Total inference time: 0:00:28.812758 (0.071143 s / iter per device, on 1 devices) +[04/11 08:44:29] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057735 s / iter per device, on 1 devices) +[04/11 08:44:34] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 08:44:34] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 08:44:34] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 08:44:34] d2.evaluation.testing INFO: copypaste: 4.1279,13.8689,0.9739 +[04/11 08:44:34] d2.data.common INFO: Serializing the dataset using: +[04/11 08:44:34] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 08:44:34] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 08:44:34] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 08:44:34] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 08:44:35] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0139 s/iter. Inference: 0.0567 s/iter. Eval: 0.0002 s/iter. Total: 0.0708 s/iter. ETA=0:00:28 +[04/11 08:44:40] d2.evaluation.evaluator INFO: Inference done 84/410. Dataloading: 0.0107 s/iter. Inference: 0.0582 s/iter. Eval: 0.0002 s/iter. Total: 0.0692 s/iter. ETA=0:00:22 +[04/11 08:44:45] d2.evaluation.evaluator INFO: Inference done 156/410. Dataloading: 0.0116 s/iter. Inference: 0.0580 s/iter. Eval: 0.0002 s/iter. Total: 0.0698 s/iter. ETA=0:00:17 +[04/11 08:44:50] d2.evaluation.evaluator INFO: Inference done 233/410. Dataloading: 0.0113 s/iter. Inference: 0.0568 s/iter. Eval: 0.0002 s/iter. Total: 0.0684 s/iter. ETA=0:00:12 +[04/11 08:44:55] d2.evaluation.evaluator INFO: Inference done 309/410. Dataloading: 0.0112 s/iter. Inference: 0.0564 s/iter. Eval: 0.0002 s/iter. Total: 0.0679 s/iter. ETA=0:00:06 +[04/11 08:45:00] d2.evaluation.evaluator INFO: Inference done 386/410. Dataloading: 0.0109 s/iter. Inference: 0.0561 s/iter. Eval: 0.0002 s/iter. Total: 0.0673 s/iter. ETA=0:00:01 +[04/11 08:45:02] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.279590 (0.067357 s / iter per device, on 1 devices) +[04/11 08:45:02] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.055935 s / iter per device, on 1 devices) +[04/11 08:45:02] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 08:45:02] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 08:45:02] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 08:45:02] d2.evaluation.testing INFO: copypaste: 2.2785,7.8315,1.0337 +[04/11 08:45:02] d2.utils.events INFO: eta: 3:01:31 iter: 42999 total_loss: 1.656 loss_cls: 0.00657 loss_box_reg: 0.01543 loss_rpn_cls: 0.02 loss_rpn_loc: 0.001126 loss_D_img_s: 0.674 loss_cls_pseudo: 0.001635 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1537 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7062 time: 1.5993 last_time: 1.4052 data_time: 0.0073 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 08:45:34] d2.utils.events INFO: eta: 3:01:04 iter: 43019 total_loss: 1.907 loss_cls: 0.008667 loss_box_reg: 0.01444 loss_rpn_cls: 0.02648 loss_rpn_loc: 0.001102 loss_D_img_s: 0.6853 loss_cls_pseudo: 0.0003523 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4585 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6848 time: 1.5993 last_time: 1.6747 data_time: 0.0080 last_data_time: 0.0103 lr: 0.02 max_mem: 14768M +[04/11 08:46:05] d2.utils.events INFO: eta: 3:00:28 iter: 43039 total_loss: 1.649 loss_cls: 0.005318 loss_box_reg: 0.01392 loss_rpn_cls: 0.01246 loss_rpn_loc: 0.001372 loss_D_img_s: 0.6534 loss_cls_pseudo: 0.0006049 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1759 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7138 time: 1.5993 last_time: 1.7651 data_time: 0.0081 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 08:46:37] d2.utils.events INFO: eta: 3:00:01 iter: 43059 total_loss: 1.845 loss_cls: 0.006162 loss_box_reg: 0.01815 loss_rpn_cls: 0.02441 loss_rpn_loc: 0.001163 loss_D_img_s: 0.7083 loss_cls_pseudo: 0.0006062 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4645 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6738 time: 1.5992 last_time: 1.5454 data_time: 0.0074 last_data_time: 0.0090 lr: 0.02 max_mem: 14768M +[04/11 08:47:08] d2.utils.events INFO: eta: 2:59:35 iter: 43079 total_loss: 1.902 loss_cls: 0.007077 loss_box_reg: 0.01602 loss_rpn_cls: 0.03134 loss_rpn_loc: 0.001323 loss_D_img_s: 0.6896 loss_cls_pseudo: 0.000289 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4533 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7002 time: 1.5992 last_time: 1.4805 data_time: 0.0078 last_data_time: 0.0098 lr: 0.02 max_mem: 14768M +[04/11 08:47:39] d2.utils.events INFO: eta: 2:59:00 iter: 43099 total_loss: 1.914 loss_cls: 0.01194 loss_box_reg: 0.01654 loss_rpn_cls: 0.02887 loss_rpn_loc: 0.00123 loss_D_img_s: 0.6665 loss_cls_pseudo: 0.002181 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4723 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6897 time: 1.5992 last_time: 1.4366 data_time: 0.0076 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 08:48:11] d2.utils.events INFO: eta: 2:58:31 iter: 43119 total_loss: 1.942 loss_cls: 0.007646 loss_box_reg: 0.01633 loss_rpn_cls: 0.03181 loss_rpn_loc: 0.001232 loss_D_img_s: 0.7027 loss_cls_pseudo: 0.001244 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.479 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6787 time: 1.5991 last_time: 1.5502 data_time: 0.0078 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 08:48:43] d2.utils.events INFO: eta: 2:58:01 iter: 43139 total_loss: 1.854 loss_cls: 0.007301 loss_box_reg: 0.01689 loss_rpn_cls: 0.01299 loss_rpn_loc: 0.001262 loss_D_img_s: 0.6755 loss_cls_pseudo: 0.001167 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4076 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6887 time: 1.5991 last_time: 1.6676 data_time: 0.0077 last_data_time: 0.0052 lr: 0.02 max_mem: 14768M +[04/11 08:49:14] d2.utils.events INFO: eta: 2:57:34 iter: 43159 total_loss: 1.821 loss_cls: 0.006702 loss_box_reg: 0.0169 loss_rpn_cls: 0.08238 loss_rpn_loc: 0.00148 loss_D_img_s: 0.7072 loss_cls_pseudo: 0.0008713 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3607 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6618 time: 1.5991 last_time: 1.6572 data_time: 0.0076 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 08:49:46] d2.utils.events INFO: eta: 2:57:06 iter: 43179 total_loss: 1.944 loss_cls: 0.007495 loss_box_reg: 0.0196 loss_rpn_cls: 0.03051 loss_rpn_loc: 0.000985 loss_D_img_s: 0.6807 loss_cls_pseudo: 0.001259 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4903 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6878 time: 1.5991 last_time: 1.6584 data_time: 0.0083 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 08:50:18] d2.utils.events INFO: eta: 2:56:37 iter: 43199 total_loss: 1.978 loss_cls: 0.004932 loss_box_reg: 0.01281 loss_rpn_cls: 0.06482 loss_rpn_loc: 0.001251 loss_D_img_s: 0.7128 loss_cls_pseudo: 0.0005642 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4982 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6659 time: 1.5991 last_time: 1.6181 data_time: 0.0078 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 08:50:49] d2.utils.events INFO: eta: 2:56:05 iter: 43219 total_loss: 1.652 loss_cls: 0.006961 loss_box_reg: 0.01738 loss_rpn_cls: 0.03461 loss_rpn_loc: 0.0009216 loss_D_img_s: 0.6441 loss_cls_pseudo: 0.0004986 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2182 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7195 time: 1.5990 last_time: 1.6123 data_time: 0.0080 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 08:51:19] d2.utils.events INFO: eta: 2:55:26 iter: 43239 total_loss: 1.935 loss_cls: 0.005633 loss_box_reg: 0.01493 loss_rpn_cls: 0.02204 loss_rpn_loc: 0.000935 loss_D_img_s: 0.7356 loss_cls_pseudo: 0.001567 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4373 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6839 time: 1.5990 last_time: 1.4589 data_time: 0.0074 last_data_time: 0.0063 lr: 0.02 max_mem: 14768M +[04/11 08:51:51] d2.utils.events INFO: eta: 2:54:50 iter: 43259 total_loss: 1.843 loss_cls: 0.006823 loss_box_reg: 0.0161 loss_rpn_cls: 0.01699 loss_rpn_loc: 0.001457 loss_D_img_s: 0.7281 loss_cls_pseudo: 0.001686 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3681 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6609 time: 1.5989 last_time: 1.4647 data_time: 0.0078 last_data_time: 0.0060 lr: 0.02 max_mem: 14768M +[04/11 08:52:22] d2.utils.events INFO: eta: 2:54:22 iter: 43279 total_loss: 1.563 loss_cls: 0.006344 loss_box_reg: 0.01585 loss_rpn_cls: 0.01175 loss_rpn_loc: 0.001317 loss_D_img_s: 0.684 loss_cls_pseudo: 0.0009393 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1049 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7025 time: 1.5989 last_time: 1.6431 data_time: 0.0073 last_data_time: 0.0060 lr: 0.02 max_mem: 14768M +[04/11 08:52:54] d2.utils.events INFO: eta: 2:53:48 iter: 43299 total_loss: 1.847 loss_cls: 0.007272 loss_box_reg: 0.01652 loss_rpn_cls: 0.04354 loss_rpn_loc: 0.001403 loss_D_img_s: 0.6795 loss_cls_pseudo: 0.0006562 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1523 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7009 time: 1.5989 last_time: 1.7087 data_time: 0.0080 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 08:53:25] d2.utils.events INFO: eta: 2:53:17 iter: 43319 total_loss: 1.881 loss_cls: 0.00582 loss_box_reg: 0.0164 loss_rpn_cls: 0.04387 loss_rpn_loc: 0.001118 loss_D_img_s: 0.669 loss_cls_pseudo: 0.0005974 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4605 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7024 time: 1.5988 last_time: 1.4751 data_time: 0.0080 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 08:53:57] d2.utils.events INFO: eta: 2:52:52 iter: 43339 total_loss: 1.856 loss_cls: 0.005739 loss_box_reg: 0.01578 loss_rpn_cls: 0.03567 loss_rpn_loc: 0.001154 loss_D_img_s: 0.6721 loss_cls_pseudo: 0.0006093 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4459 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6865 time: 1.5988 last_time: 1.5121 data_time: 0.0077 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 08:54:28] d2.utils.events INFO: eta: 2:52:27 iter: 43359 total_loss: 1.684 loss_cls: 0.009495 loss_box_reg: 0.01844 loss_rpn_cls: 0.00981 loss_rpn_loc: 0.001374 loss_D_img_s: 0.6661 loss_cls_pseudo: 0.001053 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2333 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7235 time: 1.5988 last_time: 1.7340 data_time: 0.0085 last_data_time: 0.0083 lr: 0.02 max_mem: 14768M +[04/11 08:55:00] d2.utils.events INFO: eta: 2:52:01 iter: 43379 total_loss: 1.871 loss_cls: 0.006795 loss_box_reg: 0.0176 loss_rpn_cls: 0.0247 loss_rpn_loc: 0.001321 loss_D_img_s: 0.7224 loss_cls_pseudo: 0.0004435 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4725 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6613 time: 1.5988 last_time: 1.5955 data_time: 0.0074 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 08:55:32] d2.utils.events INFO: eta: 2:51:41 iter: 43399 total_loss: 1.881 loss_cls: 0.008042 loss_box_reg: 0.02232 loss_rpn_cls: 0.02821 loss_rpn_loc: 0.001371 loss_D_img_s: 0.6542 loss_cls_pseudo: 0.001762 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4426 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7104 time: 1.5988 last_time: 1.5005 data_time: 0.0088 last_data_time: 0.0207 lr: 0.02 max_mem: 14768M +[04/11 08:56:04] d2.utils.events INFO: eta: 2:51:14 iter: 43419 total_loss: 1.871 loss_cls: 0.005356 loss_box_reg: 0.01565 loss_rpn_cls: 0.02166 loss_rpn_loc: 0.001224 loss_D_img_s: 0.6748 loss_cls_pseudo: 0.002004 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4919 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7098 time: 1.5988 last_time: 1.5401 data_time: 0.0081 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 08:56:36] d2.utils.events INFO: eta: 2:50:45 iter: 43439 total_loss: 1.987 loss_cls: 0.005374 loss_box_reg: 0.01254 loss_rpn_cls: 0.1189 loss_rpn_loc: 0.00117 loss_D_img_s: 0.7403 loss_cls_pseudo: 0.000867 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4718 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6556 time: 1.5988 last_time: 1.8032 data_time: 0.0087 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 08:57:08] d2.utils.events INFO: eta: 2:50:16 iter: 43459 total_loss: 1.827 loss_cls: 0.006932 loss_box_reg: 0.01692 loss_rpn_cls: 0.01337 loss_rpn_loc: 0.001249 loss_D_img_s: 0.6482 loss_cls_pseudo: 0.0008568 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4681 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6979 time: 1.5988 last_time: 1.7002 data_time: 0.0091 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 08:57:40] d2.utils.events INFO: eta: 2:49:52 iter: 43479 total_loss: 1.675 loss_cls: 0.006244 loss_box_reg: 0.01428 loss_rpn_cls: 0.01983 loss_rpn_loc: 0.00149 loss_D_img_s: 0.7062 loss_cls_pseudo: 0.001556 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1911 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6618 time: 1.5988 last_time: 1.5666 data_time: 0.0082 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 08:58:12] d2.utils.events INFO: eta: 2:49:24 iter: 43499 total_loss: 1.891 loss_cls: 0.005733 loss_box_reg: 0.01034 loss_rpn_cls: 0.05521 loss_rpn_loc: 0.001266 loss_D_img_s: 0.692 loss_cls_pseudo: 0.001068 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4568 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6744 time: 1.5988 last_time: 1.5662 data_time: 0.0077 last_data_time: 0.0088 lr: 0.02 max_mem: 14768M +[04/11 08:58:44] d2.utils.events INFO: eta: 2:48:54 iter: 43519 total_loss: 1.867 loss_cls: 0.006807 loss_box_reg: 0.0129 loss_rpn_cls: 0.03782 loss_rpn_loc: 0.001119 loss_D_img_s: 0.7065 loss_cls_pseudo: 0.0005416 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3897 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6858 time: 1.5988 last_time: 1.6840 data_time: 0.0081 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 08:59:15] d2.utils.events INFO: eta: 2:48:26 iter: 43539 total_loss: 1.958 loss_cls: 0.009463 loss_box_reg: 0.0138 loss_rpn_cls: 0.05091 loss_rpn_loc: 0.001301 loss_D_img_s: 0.7265 loss_cls_pseudo: 0.0007852 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.469 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6637 time: 1.5987 last_time: 1.5992 data_time: 0.0071 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 08:59:46] d2.utils.events INFO: eta: 2:48:04 iter: 43559 total_loss: 1.896 loss_cls: 0.008278 loss_box_reg: 0.01533 loss_rpn_cls: 0.04522 loss_rpn_loc: 0.001235 loss_D_img_s: 0.7117 loss_cls_pseudo: 0.002917 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3083 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6886 time: 1.5987 last_time: 1.7775 data_time: 0.0076 last_data_time: 0.0090 lr: 0.02 max_mem: 14768M +[04/11 09:00:18] d2.utils.events INFO: eta: 2:47:35 iter: 43579 total_loss: 1.701 loss_cls: 0.007403 loss_box_reg: 0.01569 loss_rpn_cls: 0.06848 loss_rpn_loc: 0.001152 loss_D_img_s: 0.6845 loss_cls_pseudo: 0.001266 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2588 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6837 time: 1.5987 last_time: 1.4408 data_time: 0.0080 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 09:00:51] d2.utils.events INFO: eta: 2:47:05 iter: 43599 total_loss: 1.934 loss_cls: 0.006931 loss_box_reg: 0.01235 loss_rpn_cls: 0.03898 loss_rpn_loc: 0.001184 loss_D_img_s: 0.6918 loss_cls_pseudo: 0.001315 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4887 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6905 time: 1.5987 last_time: 1.9292 data_time: 0.0077 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 09:01:22] d2.utils.events INFO: eta: 2:46:32 iter: 43619 total_loss: 1.629 loss_cls: 0.005485 loss_box_reg: 0.0174 loss_rpn_cls: 0.0104 loss_rpn_loc: 0.001097 loss_D_img_s: 0.6667 loss_cls_pseudo: 0.00123 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1377 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7094 time: 1.5987 last_time: 1.5265 data_time: 0.0079 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 09:01:54] d2.utils.events INFO: eta: 2:46:03 iter: 43639 total_loss: 1.824 loss_cls: 0.009171 loss_box_reg: 0.01719 loss_rpn_cls: 0.02848 loss_rpn_loc: 0.001124 loss_D_img_s: 0.7039 loss_cls_pseudo: 0.001087 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3386 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6701 time: 1.5987 last_time: 1.6022 data_time: 0.0077 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 09:02:25] d2.utils.events INFO: eta: 2:45:35 iter: 43659 total_loss: 1.61 loss_cls: 0.005515 loss_box_reg: 0.01156 loss_rpn_cls: 0.01015 loss_rpn_loc: 0.001323 loss_D_img_s: 0.6831 loss_cls_pseudo: 0.001209 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1553 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.69 time: 1.5986 last_time: 1.5884 data_time: 0.0075 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 09:02:56] d2.utils.events INFO: eta: 2:45:00 iter: 43679 total_loss: 1.913 loss_cls: 0.00664 loss_box_reg: 0.01513 loss_rpn_cls: 0.05133 loss_rpn_loc: 0.001203 loss_D_img_s: 0.6768 loss_cls_pseudo: 0.001098 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4821 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6897 time: 1.5986 last_time: 1.5351 data_time: 0.0077 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 09:03:28] d2.utils.events INFO: eta: 2:44:26 iter: 43699 total_loss: 1.955 loss_cls: 0.006012 loss_box_reg: 0.01348 loss_rpn_cls: 0.07179 loss_rpn_loc: 0.001048 loss_D_img_s: 0.6813 loss_cls_pseudo: 0.001173 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.459 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.703 time: 1.5986 last_time: 1.6302 data_time: 0.0078 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 09:03:59] d2.utils.events INFO: eta: 2:43:53 iter: 43719 total_loss: 1.879 loss_cls: 0.01159 loss_box_reg: 0.01329 loss_rpn_cls: 0.04582 loss_rpn_loc: 0.001438 loss_D_img_s: 0.6799 loss_cls_pseudo: 0.0006465 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.459 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6958 time: 1.5985 last_time: 1.6575 data_time: 0.0071 last_data_time: 0.0057 lr: 0.02 max_mem: 14768M +[04/11 09:04:31] d2.utils.events INFO: eta: 2:43:24 iter: 43739 total_loss: 1.995 loss_cls: 0.009257 loss_box_reg: 0.01309 loss_rpn_cls: 0.06155 loss_rpn_loc: 0.001395 loss_D_img_s: 0.702 loss_cls_pseudo: 0.002027 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4012 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6792 time: 1.5985 last_time: 1.5504 data_time: 0.0082 last_data_time: 0.0113 lr: 0.02 max_mem: 14768M +[04/11 09:05:03] d2.utils.events INFO: eta: 2:42:55 iter: 43759 total_loss: 1.891 loss_cls: 0.006684 loss_box_reg: 0.01424 loss_rpn_cls: 0.04642 loss_rpn_loc: 0.001187 loss_D_img_s: 0.7223 loss_cls_pseudo: 0.001416 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4734 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6713 time: 1.5985 last_time: 1.5684 data_time: 0.0076 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 09:05:35] d2.utils.events INFO: eta: 2:42:30 iter: 43779 total_loss: 1.625 loss_cls: 0.008377 loss_box_reg: 0.01724 loss_rpn_cls: 0.01674 loss_rpn_loc: 0.001097 loss_D_img_s: 0.683 loss_cls_pseudo: 0.0007308 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2428 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7194 time: 1.5985 last_time: 1.6056 data_time: 0.0078 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 09:06:06] d2.utils.events INFO: eta: 2:42:00 iter: 43799 total_loss: 1.904 loss_cls: 0.00718 loss_box_reg: 0.01452 loss_rpn_cls: 0.05669 loss_rpn_loc: 0.001457 loss_D_img_s: 0.711 loss_cls_pseudo: 0.0002176 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4329 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.675 time: 1.5985 last_time: 1.6276 data_time: 0.0076 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 09:06:38] d2.utils.events INFO: eta: 2:41:33 iter: 43819 total_loss: 1.864 loss_cls: 0.008608 loss_box_reg: 0.01924 loss_rpn_cls: 0.0193 loss_rpn_loc: 0.001313 loss_D_img_s: 0.6839 loss_cls_pseudo: 0.001474 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4471 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6975 time: 1.5985 last_time: 1.4748 data_time: 0.0077 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 09:07:09] d2.utils.events INFO: eta: 2:40:56 iter: 43839 total_loss: 1.833 loss_cls: 0.005741 loss_box_reg: 0.01303 loss_rpn_cls: 0.03461 loss_rpn_loc: 0.001332 loss_D_img_s: 0.7014 loss_cls_pseudo: 0.0008437 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3603 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6785 time: 1.5984 last_time: 1.5062 data_time: 0.0071 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 09:07:41] d2.utils.events INFO: eta: 2:40:29 iter: 43859 total_loss: 1.945 loss_cls: 0.007414 loss_box_reg: 0.01442 loss_rpn_cls: 0.02078 loss_rpn_loc: 0.001035 loss_D_img_s: 0.6836 loss_cls_pseudo: 0.001595 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5038 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6833 time: 1.5984 last_time: 1.7566 data_time: 0.0076 last_data_time: 0.0090 lr: 0.02 max_mem: 14768M +[04/11 09:08:12] d2.utils.events INFO: eta: 2:39:56 iter: 43879 total_loss: 1.821 loss_cls: 0.007132 loss_box_reg: 0.01722 loss_rpn_cls: 0.02403 loss_rpn_loc: 0.001214 loss_D_img_s: 0.6714 loss_cls_pseudo: 0.001141 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.34 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6968 time: 1.5984 last_time: 1.7959 data_time: 0.0081 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 09:08:44] d2.utils.events INFO: eta: 2:39:26 iter: 43899 total_loss: 1.536 loss_cls: 0.004454 loss_box_reg: 0.01273 loss_rpn_cls: 0.02239 loss_rpn_loc: 0.00105 loss_D_img_s: 0.6432 loss_cls_pseudo: 0.001523 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1284 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7201 time: 1.5984 last_time: 1.5307 data_time: 0.0081 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 09:09:16] d2.utils.events INFO: eta: 2:39:11 iter: 43919 total_loss: 1.916 loss_cls: 0.00661 loss_box_reg: 0.01295 loss_rpn_cls: 0.03982 loss_rpn_loc: 0.001226 loss_D_img_s: 0.7017 loss_cls_pseudo: 0.0005407 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4563 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6581 time: 1.5984 last_time: 1.5350 data_time: 0.0083 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 09:09:46] d2.utils.events INFO: eta: 2:38:35 iter: 43939 total_loss: 1.69 loss_cls: 0.007476 loss_box_reg: 0.0149 loss_rpn_cls: 0.009694 loss_rpn_loc: 0.001343 loss_D_img_s: 0.653 loss_cls_pseudo: 0.003579 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1319 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7724 time: 1.5983 last_time: 1.5909 data_time: 0.0076 last_data_time: 0.0101 lr: 0.02 max_mem: 14768M +[04/11 09:10:18] d2.utils.events INFO: eta: 2:38:04 iter: 43959 total_loss: 2.04 loss_cls: 0.01231 loss_box_reg: 0.01763 loss_rpn_cls: 0.1015 loss_rpn_loc: 0.001616 loss_D_img_s: 0.7586 loss_cls_pseudo: 0.001252 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4812 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6323 time: 1.5983 last_time: 1.5519 data_time: 0.0080 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 09:10:50] d2.utils.events INFO: eta: 2:37:37 iter: 43979 total_loss: 1.774 loss_cls: 0.006194 loss_box_reg: 0.01475 loss_rpn_cls: 0.02003 loss_rpn_loc: 0.00114 loss_D_img_s: 0.6852 loss_cls_pseudo: 0.0004434 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3462 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7158 time: 1.5983 last_time: 1.4681 data_time: 0.0074 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 09:11:22] d2.data.common INFO: Serializing the dataset using: +[04/11 09:11:22] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 09:11:22] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 09:11:22] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 09:11:22] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 09:11:23] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0220 s/iter. Inference: 0.0558 s/iter. Eval: 0.0002 s/iter. Total: 0.0780 s/iter. ETA=0:00:31 +[04/11 09:11:28] d2.evaluation.evaluator INFO: Inference done 78/410. Dataloading: 0.0167 s/iter. Inference: 0.0586 s/iter. Eval: 0.0002 s/iter. Total: 0.0755 s/iter. ETA=0:00:25 +[04/11 09:11:33] d2.evaluation.evaluator INFO: Inference done 153/410. Dataloading: 0.0126 s/iter. Inference: 0.0584 s/iter. Eval: 0.0002 s/iter. Total: 0.0712 s/iter. ETA=0:00:18 +[04/11 09:11:38] d2.evaluation.evaluator INFO: Inference done 230/410. Dataloading: 0.0108 s/iter. Inference: 0.0582 s/iter. Eval: 0.0002 s/iter. Total: 0.0693 s/iter. ETA=0:00:12 +[04/11 09:11:43] d2.evaluation.evaluator INFO: Inference done 310/410. Dataloading: 0.0098 s/iter. Inference: 0.0577 s/iter. Eval: 0.0002 s/iter. Total: 0.0677 s/iter. ETA=0:00:06 +[04/11 09:11:48] d2.evaluation.evaluator INFO: Inference done 385/410. Dataloading: 0.0093 s/iter. Inference: 0.0579 s/iter. Eval: 0.0002 s/iter. Total: 0.0675 s/iter. ETA=0:00:01 +[04/11 09:11:50] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.327272 (0.067475 s / iter per device, on 1 devices) +[04/11 09:11:50] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057585 s / iter per device, on 1 devices) +[04/11 09:11:50] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 09:11:50] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 09:11:50] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 09:11:50] d2.evaluation.testing INFO: copypaste: 4.8103,14.4789,1.7153 +[04/11 09:11:50] d2.data.common INFO: Serializing the dataset using: +[04/11 09:11:50] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 09:11:50] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 09:11:50] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 09:11:50] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 09:11:53] d2.evaluation.evaluator INFO: Inference done 37/410. Dataloading: 0.0191 s/iter. Inference: 0.0544 s/iter. Eval: 0.0002 s/iter. Total: 0.0738 s/iter. ETA=0:00:27 +[04/11 09:11:58] d2.evaluation.evaluator INFO: Inference done 109/410. Dataloading: 0.0127 s/iter. Inference: 0.0578 s/iter. Eval: 0.0002 s/iter. Total: 0.0708 s/iter. ETA=0:00:21 +[04/11 09:12:03] d2.evaluation.evaluator INFO: Inference done 180/410. Dataloading: 0.0111 s/iter. Inference: 0.0595 s/iter. Eval: 0.0002 s/iter. Total: 0.0709 s/iter. ETA=0:00:16 +[04/11 09:12:08] d2.evaluation.evaluator INFO: Inference done 254/410. Dataloading: 0.0107 s/iter. Inference: 0.0590 s/iter. Eval: 0.0002 s/iter. Total: 0.0700 s/iter. ETA=0:00:10 +[04/11 09:12:13] d2.evaluation.evaluator INFO: Inference done 326/410. Dataloading: 0.0102 s/iter. Inference: 0.0595 s/iter. Eval: 0.0002 s/iter. Total: 0.0700 s/iter. ETA=0:00:05 +[04/11 09:12:18] d2.evaluation.evaluator INFO: Inference done 392/410. Dataloading: 0.0104 s/iter. Inference: 0.0604 s/iter. Eval: 0.0002 s/iter. Total: 0.0712 s/iter. ETA=0:00:01 +[04/11 09:12:20] d2.evaluation.evaluator INFO: Total inference time: 0:00:28.675339 (0.070803 s / iter per device, on 1 devices) +[04/11 09:12:20] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:24 (0.060154 s / iter per device, on 1 devices) +[04/11 09:12:20] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 09:12:20] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 09:12:20] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 09:12:20] d2.evaluation.testing INFO: copypaste: 1.4950,5.0504,0.3577 +[04/11 09:12:20] d2.utils.events INFO: eta: 2:37:14 iter: 43999 total_loss: 1.875 loss_cls: 0.01354 loss_box_reg: 0.01548 loss_rpn_cls: 0.01631 loss_rpn_loc: 0.001154 loss_D_img_s: 0.6625 loss_cls_pseudo: 0.0005248 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4728 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7024 time: 1.5983 last_time: 1.6292 data_time: 0.0083 last_data_time: 0.0085 lr: 0.02 max_mem: 14768M +[04/11 09:12:51] d2.utils.events INFO: eta: 2:36:44 iter: 44019 total_loss: 1.833 loss_cls: 0.007308 loss_box_reg: 0.01668 loss_rpn_cls: 0.03853 loss_rpn_loc: 0.0009938 loss_D_img_s: 0.7123 loss_cls_pseudo: 0.0006869 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3475 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6654 time: 1.5982 last_time: 1.6548 data_time: 0.0082 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 09:13:23] d2.utils.events INFO: eta: 2:36:14 iter: 44039 total_loss: 1.928 loss_cls: 0.007794 loss_box_reg: 0.01553 loss_rpn_cls: 0.017 loss_rpn_loc: 0.001304 loss_D_img_s: 0.6956 loss_cls_pseudo: 0.001716 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4843 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6637 time: 1.5982 last_time: 1.5551 data_time: 0.0081 last_data_time: 0.0085 lr: 0.02 max_mem: 14768M +[04/11 09:13:55] d2.utils.events INFO: eta: 2:35:44 iter: 44059 total_loss: 1.892 loss_cls: 0.005787 loss_box_reg: 0.01614 loss_rpn_cls: 0.04933 loss_rpn_loc: 0.001007 loss_D_img_s: 0.6825 loss_cls_pseudo: 0.001225 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4301 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6904 time: 1.5982 last_time: 1.6871 data_time: 0.0079 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 09:14:27] d2.utils.events INFO: eta: 2:35:11 iter: 44079 total_loss: 1.958 loss_cls: 0.01036 loss_box_reg: 0.01825 loss_rpn_cls: 0.01608 loss_rpn_loc: 0.00138 loss_D_img_s: 0.7032 loss_cls_pseudo: 0.002556 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5127 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6936 time: 1.5982 last_time: 1.4013 data_time: 0.0076 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 09:14:58] d2.utils.events INFO: eta: 2:34:44 iter: 44099 total_loss: 1.918 loss_cls: 0.008085 loss_box_reg: 0.01781 loss_rpn_cls: 0.04123 loss_rpn_loc: 0.001265 loss_D_img_s: 0.7066 loss_cls_pseudo: 0.001471 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4934 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6637 time: 1.5982 last_time: 1.3897 data_time: 0.0084 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 09:15:30] d2.utils.events INFO: eta: 2:34:17 iter: 44119 total_loss: 1.916 loss_cls: 0.008627 loss_box_reg: 0.01377 loss_rpn_cls: 0.05591 loss_rpn_loc: 0.001118 loss_D_img_s: 0.6599 loss_cls_pseudo: 0.0004658 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4699 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6994 time: 1.5982 last_time: 1.6219 data_time: 0.0082 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 09:16:01] d2.utils.events INFO: eta: 2:33:46 iter: 44139 total_loss: 1.906 loss_cls: 0.007584 loss_box_reg: 0.01552 loss_rpn_cls: 0.02357 loss_rpn_loc: 0.0009856 loss_D_img_s: 0.6997 loss_cls_pseudo: 0.0006201 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4622 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7001 time: 1.5981 last_time: 1.5766 data_time: 0.0081 last_data_time: 0.0100 lr: 0.02 max_mem: 14768M +[04/11 09:16:33] d2.utils.events INFO: eta: 2:33:14 iter: 44159 total_loss: 1.889 loss_cls: 0.009319 loss_box_reg: 0.01695 loss_rpn_cls: 0.03673 loss_rpn_loc: 0.001418 loss_D_img_s: 0.7146 loss_cls_pseudo: 0.0007813 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4051 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6783 time: 1.5981 last_time: 1.5547 data_time: 0.0081 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 09:17:04] d2.utils.events INFO: eta: 2:32:43 iter: 44179 total_loss: 1.892 loss_cls: 0.005313 loss_box_reg: 0.01664 loss_rpn_cls: 0.03105 loss_rpn_loc: 0.001241 loss_D_img_s: 0.7041 loss_cls_pseudo: 0.0007329 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4571 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6607 time: 1.5981 last_time: 1.6086 data_time: 0.0083 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 09:17:36] d2.utils.events INFO: eta: 2:32:11 iter: 44199 total_loss: 1.923 loss_cls: 0.00699 loss_box_reg: 0.01462 loss_rpn_cls: 0.0352 loss_rpn_loc: 0.00113 loss_D_img_s: 0.6759 loss_cls_pseudo: 0.001526 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4877 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7057 time: 1.5981 last_time: 1.4801 data_time: 0.0078 last_data_time: 0.0104 lr: 0.02 max_mem: 14768M +[04/11 09:18:08] d2.utils.events INFO: eta: 2:31:40 iter: 44219 total_loss: 1.921 loss_cls: 0.006643 loss_box_reg: 0.0142 loss_rpn_cls: 0.0553 loss_rpn_loc: 0.001167 loss_D_img_s: 0.6865 loss_cls_pseudo: 0.0006203 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4811 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6889 time: 1.5981 last_time: 1.6149 data_time: 0.0079 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 09:18:40] d2.utils.events INFO: eta: 2:31:14 iter: 44239 total_loss: 1.88 loss_cls: 0.006517 loss_box_reg: 0.01487 loss_rpn_cls: 0.02122 loss_rpn_loc: 0.0009409 loss_D_img_s: 0.6785 loss_cls_pseudo: 0.0004997 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4686 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6945 time: 1.5981 last_time: 1.5214 data_time: 0.0083 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 09:19:11] d2.utils.events INFO: eta: 2:30:42 iter: 44259 total_loss: 1.822 loss_cls: 0.006699 loss_box_reg: 0.01297 loss_rpn_cls: 0.009261 loss_rpn_loc: 0.001256 loss_D_img_s: 0.6675 loss_cls_pseudo: 0.001105 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4267 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6886 time: 1.5980 last_time: 1.4193 data_time: 0.0078 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 09:19:43] d2.utils.events INFO: eta: 2:30:08 iter: 44279 total_loss: 1.789 loss_cls: 0.005299 loss_box_reg: 0.01415 loss_rpn_cls: 0.01013 loss_rpn_loc: 0.001058 loss_D_img_s: 0.7069 loss_cls_pseudo: 0.001594 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2815 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6869 time: 1.5980 last_time: 1.5732 data_time: 0.0076 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 09:20:15] d2.utils.events INFO: eta: 2:29:38 iter: 44299 total_loss: 1.594 loss_cls: 0.007703 loss_box_reg: 0.01812 loss_rpn_cls: 0.006986 loss_rpn_loc: 0.00151 loss_D_img_s: 0.7073 loss_cls_pseudo: 0.000636 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.177 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6798 time: 1.5980 last_time: 1.7792 data_time: 0.0080 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 09:20:46] d2.utils.events INFO: eta: 2:29:06 iter: 44319 total_loss: 1.743 loss_cls: 0.006756 loss_box_reg: 0.01628 loss_rpn_cls: 0.01043 loss_rpn_loc: 0.00114 loss_D_img_s: 0.6736 loss_cls_pseudo: 0.001194 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2539 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6981 time: 1.5980 last_time: 1.5858 data_time: 0.0079 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 09:21:18] d2.utils.events INFO: eta: 2:28:35 iter: 44339 total_loss: 1.831 loss_cls: 0.005698 loss_box_reg: 0.01601 loss_rpn_cls: 0.01539 loss_rpn_loc: 0.00123 loss_D_img_s: 0.6935 loss_cls_pseudo: 0.0008409 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1841 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6671 time: 1.5980 last_time: 1.5442 data_time: 0.0079 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 09:21:49] d2.utils.events INFO: eta: 2:28:03 iter: 44359 total_loss: 1.807 loss_cls: 0.007864 loss_box_reg: 0.01743 loss_rpn_cls: 0.00967 loss_rpn_loc: 0.001039 loss_D_img_s: 0.697 loss_cls_pseudo: 0.001198 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.456 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6683 time: 1.5980 last_time: 1.7041 data_time: 0.0082 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 09:22:21] d2.utils.events INFO: eta: 2:27:32 iter: 44379 total_loss: 1.829 loss_cls: 0.006569 loss_box_reg: 0.01502 loss_rpn_cls: 0.02299 loss_rpn_loc: 0.00133 loss_D_img_s: 0.6663 loss_cls_pseudo: 0.0009463 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4476 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6847 time: 1.5979 last_time: 1.5478 data_time: 0.0080 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 09:22:52] d2.utils.events INFO: eta: 2:26:57 iter: 44399 total_loss: 1.747 loss_cls: 0.007619 loss_box_reg: 0.01667 loss_rpn_cls: 0.01589 loss_rpn_loc: 0.001176 loss_D_img_s: 0.6766 loss_cls_pseudo: 0.0007529 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2465 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7149 time: 1.5979 last_time: 1.5424 data_time: 0.0076 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 09:23:25] d2.utils.events INFO: eta: 2:26:25 iter: 44419 total_loss: 2.022 loss_cls: 0.008906 loss_box_reg: 0.01474 loss_rpn_cls: 0.04322 loss_rpn_loc: 0.00125 loss_D_img_s: 0.6973 loss_cls_pseudo: 0.0006489 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4649 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6934 time: 1.5979 last_time: 1.5860 data_time: 0.0087 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 09:23:56] d2.utils.events INFO: eta: 2:25:46 iter: 44439 total_loss: 1.918 loss_cls: 0.01064 loss_box_reg: 0.02169 loss_rpn_cls: 0.02311 loss_rpn_loc: 0.001185 loss_D_img_s: 0.679 loss_cls_pseudo: 0.001948 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4783 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7113 time: 1.5979 last_time: 1.5728 data_time: 0.0080 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 09:24:27] d2.utils.events INFO: eta: 2:25:15 iter: 44459 total_loss: 1.974 loss_cls: 0.007295 loss_box_reg: 0.01873 loss_rpn_cls: 0.1309 loss_rpn_loc: 0.001265 loss_D_img_s: 0.7095 loss_cls_pseudo: 0.0006552 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4848 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6753 time: 1.5978 last_time: 1.6402 data_time: 0.0085 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 09:24:58] d2.utils.events INFO: eta: 2:24:41 iter: 44479 total_loss: 1.911 loss_cls: 0.008341 loss_box_reg: 0.01724 loss_rpn_cls: 0.04563 loss_rpn_loc: 0.001488 loss_D_img_s: 0.6718 loss_cls_pseudo: 0.001273 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4972 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6997 time: 1.5978 last_time: 1.5473 data_time: 0.0076 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 09:25:30] d2.utils.events INFO: eta: 2:24:09 iter: 44499 total_loss: 1.891 loss_cls: 0.005457 loss_box_reg: 0.01768 loss_rpn_cls: 0.01675 loss_rpn_loc: 0.001167 loss_D_img_s: 0.6832 loss_cls_pseudo: 0.0002547 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4719 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6736 time: 1.5978 last_time: 1.4736 data_time: 0.0074 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 09:26:01] d2.utils.events INFO: eta: 2:23:27 iter: 44519 total_loss: 1.833 loss_cls: 0.007702 loss_box_reg: 0.01701 loss_rpn_cls: 0.008014 loss_rpn_loc: 0.001259 loss_D_img_s: 0.6805 loss_cls_pseudo: 0.0003102 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3566 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7042 time: 1.5977 last_time: 1.6037 data_time: 0.0075 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 09:26:32] d2.utils.events INFO: eta: 2:22:55 iter: 44539 total_loss: 1.755 loss_cls: 0.007371 loss_box_reg: 0.01678 loss_rpn_cls: 0.0145 loss_rpn_loc: 0.001429 loss_D_img_s: 0.697 loss_cls_pseudo: 0.0003521 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2855 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6477 time: 1.5977 last_time: 1.6199 data_time: 0.0075 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 09:27:04] d2.utils.events INFO: eta: 2:22:21 iter: 44559 total_loss: 1.827 loss_cls: 0.007153 loss_box_reg: 0.01572 loss_rpn_cls: 0.007063 loss_rpn_loc: 0.00147 loss_D_img_s: 0.6714 loss_cls_pseudo: 0.0006394 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2828 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7017 time: 1.5977 last_time: 1.5681 data_time: 0.0080 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 09:27:35] d2.utils.events INFO: eta: 2:21:45 iter: 44579 total_loss: 1.679 loss_cls: 0.008607 loss_box_reg: 0.01945 loss_rpn_cls: 0.01185 loss_rpn_loc: 0.0009912 loss_D_img_s: 0.7081 loss_cls_pseudo: 0.001911 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2129 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6756 time: 1.5976 last_time: 1.6900 data_time: 0.0079 last_data_time: 0.0107 lr: 0.02 max_mem: 14768M +[04/11 09:28:05] d2.utils.events INFO: eta: 2:21:05 iter: 44599 total_loss: 1.875 loss_cls: 0.009275 loss_box_reg: 0.0167 loss_rpn_cls: 0.06498 loss_rpn_loc: 0.001125 loss_D_img_s: 0.7278 loss_cls_pseudo: 0.001672 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4561 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6736 time: 1.5976 last_time: 1.6386 data_time: 0.0083 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 09:28:36] d2.utils.events INFO: eta: 2:20:32 iter: 44619 total_loss: 1.783 loss_cls: 0.006998 loss_box_reg: 0.01817 loss_rpn_cls: 0.02002 loss_rpn_loc: 0.001145 loss_D_img_s: 0.6267 loss_cls_pseudo: 0.0007997 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2689 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6977 time: 1.5975 last_time: 1.5590 data_time: 0.0084 last_data_time: 0.0100 lr: 0.02 max_mem: 14768M +[04/11 09:29:07] d2.utils.events INFO: eta: 2:19:57 iter: 44639 total_loss: 1.86 loss_cls: 0.006994 loss_box_reg: 0.01377 loss_rpn_cls: 0.0231 loss_rpn_loc: 0.001007 loss_D_img_s: 0.7859 loss_cls_pseudo: 0.0008688 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4646 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6086 time: 1.5975 last_time: 1.5399 data_time: 0.0083 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 09:29:37] d2.utils.events INFO: eta: 2:19:21 iter: 44659 total_loss: 1.897 loss_cls: 0.007842 loss_box_reg: 0.01557 loss_rpn_cls: 0.07419 loss_rpn_loc: 0.001544 loss_D_img_s: 0.6939 loss_cls_pseudo: 0.001541 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3052 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6757 time: 1.5974 last_time: 1.5364 data_time: 0.0079 last_data_time: 0.0083 lr: 0.02 max_mem: 14768M +[04/11 09:30:08] d2.utils.events INFO: eta: 2:18:50 iter: 44679 total_loss: 1.567 loss_cls: 0.01253 loss_box_reg: 0.01769 loss_rpn_cls: 0.02558 loss_rpn_loc: 0.001449 loss_D_img_s: 0.6965 loss_cls_pseudo: 0.001303 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1072 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.693 time: 1.5973 last_time: 1.6876 data_time: 0.0081 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 09:30:39] d2.utils.events INFO: eta: 2:18:18 iter: 44699 total_loss: 1.974 loss_cls: 0.00875 loss_box_reg: 0.01698 loss_rpn_cls: 0.06292 loss_rpn_loc: 0.001219 loss_D_img_s: 0.7109 loss_cls_pseudo: 0.0008326 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.448 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6532 time: 1.5973 last_time: 1.5931 data_time: 0.0081 last_data_time: 0.0058 lr: 0.02 max_mem: 14768M +[04/11 09:31:10] d2.utils.events INFO: eta: 2:17:39 iter: 44719 total_loss: 1.926 loss_cls: 0.008386 loss_box_reg: 0.01643 loss_rpn_cls: 0.03009 loss_rpn_loc: 0.001173 loss_D_img_s: 0.6769 loss_cls_pseudo: 0.001319 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4848 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7131 time: 1.5972 last_time: 1.5073 data_time: 0.0077 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 09:31:40] d2.utils.events INFO: eta: 2:16:53 iter: 44739 total_loss: 1.882 loss_cls: 0.007393 loss_box_reg: 0.01666 loss_rpn_cls: 0.02728 loss_rpn_loc: 0.001319 loss_D_img_s: 0.6916 loss_cls_pseudo: 0.0009858 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4543 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6838 time: 1.5971 last_time: 1.5313 data_time: 0.0077 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 09:32:11] d2.utils.events INFO: eta: 2:16:11 iter: 44759 total_loss: 1.883 loss_cls: 0.007894 loss_box_reg: 0.01562 loss_rpn_cls: 0.02388 loss_rpn_loc: 0.00126 loss_D_img_s: 0.6689 loss_cls_pseudo: 0.001062 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4708 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.694 time: 1.5970 last_time: 1.6218 data_time: 0.0079 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 09:32:41] d2.utils.events INFO: eta: 2:15:31 iter: 44779 total_loss: 1.643 loss_cls: 0.007549 loss_box_reg: 0.01658 loss_rpn_cls: 0.01908 loss_rpn_loc: 0.001155 loss_D_img_s: 0.6644 loss_cls_pseudo: 0.001042 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1773 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7051 time: 1.5970 last_time: 1.5002 data_time: 0.0079 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 09:33:12] d2.utils.events INFO: eta: 2:14:55 iter: 44799 total_loss: 1.953 loss_cls: 0.008572 loss_box_reg: 0.01764 loss_rpn_cls: 0.03702 loss_rpn_loc: 0.001134 loss_D_img_s: 0.7229 loss_cls_pseudo: 0.001287 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4954 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6703 time: 1.5969 last_time: 1.4561 data_time: 0.0079 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 09:33:42] d2.utils.events INFO: eta: 2:14:15 iter: 44819 total_loss: 1.934 loss_cls: 0.007236 loss_box_reg: 0.01516 loss_rpn_cls: 0.03367 loss_rpn_loc: 0.00106 loss_D_img_s: 0.7007 loss_cls_pseudo: 0.002575 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5003 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6862 time: 1.5968 last_time: 1.5159 data_time: 0.0075 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 09:34:13] d2.utils.events INFO: eta: 2:13:44 iter: 44839 total_loss: 1.943 loss_cls: 0.01004 loss_box_reg: 0.01624 loss_rpn_cls: 0.08786 loss_rpn_loc: 0.00153 loss_D_img_s: 0.6868 loss_cls_pseudo: 0.001269 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2785 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6802 time: 1.5968 last_time: 1.6124 data_time: 0.0076 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 09:34:43] d2.utils.events INFO: eta: 2:13:08 iter: 44859 total_loss: 1.917 loss_cls: 0.008077 loss_box_reg: 0.01716 loss_rpn_cls: 0.02944 loss_rpn_loc: 0.0009043 loss_D_img_s: 0.6556 loss_cls_pseudo: 0.00102 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4595 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7156 time: 1.5967 last_time: 1.4997 data_time: 0.0076 last_data_time: 0.0060 lr: 0.02 max_mem: 14768M +[04/11 09:35:14] d2.utils.events INFO: eta: 2:12:32 iter: 44879 total_loss: 1.806 loss_cls: 0.005802 loss_box_reg: 0.01475 loss_rpn_cls: 0.02428 loss_rpn_loc: 0.0009866 loss_D_img_s: 0.7129 loss_cls_pseudo: 0.0008146 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4205 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6654 time: 1.5966 last_time: 1.4574 data_time: 0.0083 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 09:35:44] d2.utils.events INFO: eta: 2:11:53 iter: 44899 total_loss: 1.702 loss_cls: 0.008368 loss_box_reg: 0.01926 loss_rpn_cls: 0.02534 loss_rpn_loc: 0.001227 loss_D_img_s: 0.7178 loss_cls_pseudo: 0.001004 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1474 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6655 time: 1.5965 last_time: 1.4736 data_time: 0.0088 last_data_time: 0.0089 lr: 0.02 max_mem: 14768M +[04/11 09:36:15] d2.utils.events INFO: eta: 2:11:19 iter: 44919 total_loss: 1.795 loss_cls: 0.01081 loss_box_reg: 0.01633 loss_rpn_cls: 0.01995 loss_rpn_loc: 0.0016 loss_D_img_s: 0.7005 loss_cls_pseudo: 0.00105 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3378 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6626 time: 1.5965 last_time: 1.5446 data_time: 0.0080 last_data_time: 0.0104 lr: 0.02 max_mem: 14768M +[04/11 09:36:47] d2.utils.events INFO: eta: 2:10:49 iter: 44939 total_loss: 1.673 loss_cls: 0.006356 loss_box_reg: 0.0147 loss_rpn_cls: 0.01516 loss_rpn_loc: 0.001204 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.001633 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1676 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6981 time: 1.5964 last_time: 1.5432 data_time: 0.0078 last_data_time: 0.0111 lr: 0.02 max_mem: 14768M +[04/11 09:37:17] d2.utils.events INFO: eta: 2:10:15 iter: 44959 total_loss: 2.004 loss_cls: 0.007772 loss_box_reg: 0.01772 loss_rpn_cls: 0.1282 loss_rpn_loc: 0.001153 loss_D_img_s: 0.7569 loss_cls_pseudo: 0.0005499 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4667 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6393 time: 1.5964 last_time: 1.6286 data_time: 0.0082 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 09:37:48] d2.utils.events INFO: eta: 2:09:42 iter: 44979 total_loss: 1.966 loss_cls: 0.00829 loss_box_reg: 0.01655 loss_rpn_cls: 0.05281 loss_rpn_loc: 0.001599 loss_D_img_s: 0.666 loss_cls_pseudo: 0.001277 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4982 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.722 time: 1.5963 last_time: 1.5553 data_time: 0.0075 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 09:38:19] fvcore.common.checkpoint INFO: Saving checkpoint to /DATA/Rajes/Research/output_cat/bmp_rti/model_0044999.pth +[04/11 09:38:20] d2.data.common INFO: Serializing the dataset using: +[04/11 09:38:20] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 09:38:20] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 09:38:20] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 09:38:20] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 09:38:21] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0009 s/iter. Inference: 0.0495 s/iter. Eval: 0.0001 s/iter. Total: 0.0506 s/iter. ETA=0:00:20 +[04/11 09:38:26] d2.evaluation.evaluator INFO: Inference done 82/410. Dataloading: 0.0122 s/iter. Inference: 0.0568 s/iter. Eval: 0.0001 s/iter. Total: 0.0692 s/iter. ETA=0:00:22 +[04/11 09:38:31] d2.evaluation.evaluator INFO: Inference done 153/410. Dataloading: 0.0133 s/iter. Inference: 0.0563 s/iter. Eval: 0.0002 s/iter. Total: 0.0698 s/iter. ETA=0:00:17 +[04/11 09:38:36] d2.evaluation.evaluator INFO: Inference done 225/410. Dataloading: 0.0132 s/iter. Inference: 0.0565 s/iter. Eval: 0.0001 s/iter. Total: 0.0699 s/iter. ETA=0:00:12 +[04/11 09:38:41] d2.evaluation.evaluator INFO: Inference done 297/410. Dataloading: 0.0121 s/iter. Inference: 0.0575 s/iter. Eval: 0.0002 s/iter. Total: 0.0698 s/iter. ETA=0:00:07 +[04/11 09:38:46] d2.evaluation.evaluator INFO: Inference done 368/410. Dataloading: 0.0119 s/iter. Inference: 0.0578 s/iter. Eval: 0.0002 s/iter. Total: 0.0700 s/iter. ETA=0:00:02 +[04/11 09:38:48] d2.evaluation.evaluator INFO: Total inference time: 0:00:28.146566 (0.069498 s / iter per device, on 1 devices) +[04/11 09:38:48] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:23 (0.057572 s / iter per device, on 1 devices) +[04/11 09:38:49] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 09:38:49] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 09:38:49] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 09:38:49] d2.evaluation.testing INFO: copypaste: 9.5585,27.2399,1.4475 +[04/11 09:38:49] d2.data.common INFO: Serializing the dataset using: +[04/11 09:38:49] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 09:38:49] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 09:38:49] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 09:38:49] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 09:38:51] d2.evaluation.evaluator INFO: Inference done 24/410. Dataloading: 0.0121 s/iter. Inference: 0.0604 s/iter. Eval: 0.0002 s/iter. Total: 0.0727 s/iter. ETA=0:00:28 +[04/11 09:38:56] d2.evaluation.evaluator INFO: Inference done 94/410. Dataloading: 0.0144 s/iter. Inference: 0.0569 s/iter. Eval: 0.0004 s/iter. Total: 0.0718 s/iter. ETA=0:00:22 +[04/11 09:39:01] d2.evaluation.evaluator INFO: Inference done 172/410. Dataloading: 0.0116 s/iter. Inference: 0.0566 s/iter. Eval: 0.0003 s/iter. Total: 0.0687 s/iter. ETA=0:00:16 +[04/11 09:39:06] d2.evaluation.evaluator INFO: Inference done 249/410. Dataloading: 0.0110 s/iter. Inference: 0.0562 s/iter. Eval: 0.0003 s/iter. Total: 0.0675 s/iter. ETA=0:00:10 +[04/11 09:39:11] d2.evaluation.evaluator INFO: Inference done 325/410. Dataloading: 0.0113 s/iter. Inference: 0.0557 s/iter. Eval: 0.0003 s/iter. Total: 0.0673 s/iter. ETA=0:00:05 +[04/11 09:39:16] d2.evaluation.evaluator INFO: Inference done 400/410. Dataloading: 0.0114 s/iter. Inference: 0.0555 s/iter. Eval: 0.0003 s/iter. Total: 0.0672 s/iter. ETA=0:00:00 +[04/11 09:39:17] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.149073 (0.067035 s / iter per device, on 1 devices) +[04/11 09:39:17] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.055355 s / iter per device, on 1 devices) +[04/11 09:39:17] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 09:39:17] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 09:39:17] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 09:39:17] d2.evaluation.testing INFO: copypaste: 1.5462,6.1705,0.3070 +[04/11 09:39:17] d2.utils.events INFO: eta: 2:09:03 iter: 44999 total_loss: 1.84 loss_cls: 0.006952 loss_box_reg: 0.01413 loss_rpn_cls: 0.01451 loss_rpn_loc: 0.001066 loss_D_img_s: 0.6669 loss_cls_pseudo: 0.0006479 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4316 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6859 time: 1.5963 last_time: 1.4692 data_time: 0.0088 last_data_time: 0.0095 lr: 0.02 max_mem: 14768M +[04/11 09:39:47] d2.utils.events INFO: eta: 2:08:25 iter: 45019 total_loss: 1.869 loss_cls: 0.008057 loss_box_reg: 0.01831 loss_rpn_cls: 0.0154 loss_rpn_loc: 0.00133 loss_D_img_s: 0.7157 loss_cls_pseudo: 0.001295 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.47 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6398 time: 1.5962 last_time: 1.4629 data_time: 0.0079 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 09:40:17] d2.utils.events INFO: eta: 2:07:43 iter: 45039 total_loss: 1.85 loss_cls: 0.008376 loss_box_reg: 0.018 loss_rpn_cls: 0.02187 loss_rpn_loc: 0.001162 loss_D_img_s: 0.6313 loss_cls_pseudo: 0.001188 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4595 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7505 time: 1.5961 last_time: 1.6046 data_time: 0.0084 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 09:40:48] d2.utils.events INFO: eta: 2:07:06 iter: 45059 total_loss: 1.971 loss_cls: 0.006544 loss_box_reg: 0.01403 loss_rpn_cls: 0.01942 loss_rpn_loc: 0.0009552 loss_D_img_s: 0.7673 loss_cls_pseudo: 0.0008275 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4862 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6393 time: 1.5960 last_time: 1.4960 data_time: 0.0080 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 09:41:18] d2.utils.events INFO: eta: 2:06:29 iter: 45079 total_loss: 1.828 loss_cls: 0.005807 loss_box_reg: 0.01456 loss_rpn_cls: 0.01492 loss_rpn_loc: 0.001056 loss_D_img_s: 0.7403 loss_cls_pseudo: 0.0003955 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4245 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6441 time: 1.5960 last_time: 1.5153 data_time: 0.0079 last_data_time: 0.0059 lr: 0.02 max_mem: 14768M +[04/11 09:41:48] d2.utils.events INFO: eta: 2:05:45 iter: 45099 total_loss: 1.736 loss_cls: 0.005925 loss_box_reg: 0.01633 loss_rpn_cls: 0.01194 loss_rpn_loc: 0.001404 loss_D_img_s: 0.6876 loss_cls_pseudo: 0.0006914 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3311 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6884 time: 1.5959 last_time: 1.5097 data_time: 0.0079 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 09:42:18] d2.utils.events INFO: eta: 2:05:05 iter: 45119 total_loss: 1.6 loss_cls: 0.007237 loss_box_reg: 0.01763 loss_rpn_cls: 0.01947 loss_rpn_loc: 0.001415 loss_D_img_s: 0.666 loss_cls_pseudo: 0.002191 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1289 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7043 time: 1.5958 last_time: 1.4397 data_time: 0.0088 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 09:42:50] d2.utils.events INFO: eta: 2:04:30 iter: 45139 total_loss: 1.76 loss_cls: 0.008303 loss_box_reg: 0.01518 loss_rpn_cls: 0.07335 loss_rpn_loc: 0.001678 loss_D_img_s: 0.7 loss_cls_pseudo: 0.001681 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1417 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6636 time: 1.5957 last_time: 1.5429 data_time: 0.0076 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 09:43:20] d2.utils.events INFO: eta: 2:03:56 iter: 45159 total_loss: 1.919 loss_cls: 0.007398 loss_box_reg: 0.01215 loss_rpn_cls: 0.06563 loss_rpn_loc: 0.0009969 loss_D_img_s: 0.6736 loss_cls_pseudo: 0.001191 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3729 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7124 time: 1.5957 last_time: 1.4998 data_time: 0.0071 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 09:43:51] d2.utils.events INFO: eta: 2:03:17 iter: 45179 total_loss: 1.879 loss_cls: 0.007882 loss_box_reg: 0.01683 loss_rpn_cls: 0.04866 loss_rpn_loc: 0.001387 loss_D_img_s: 0.7168 loss_cls_pseudo: 0.0009127 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4763 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6923 time: 1.5956 last_time: 1.5513 data_time: 0.0080 last_data_time: 0.0088 lr: 0.02 max_mem: 14768M +[04/11 09:44:21] d2.utils.events INFO: eta: 2:02:38 iter: 45199 total_loss: 1.916 loss_cls: 0.009881 loss_box_reg: 0.01444 loss_rpn_cls: 0.03007 loss_rpn_loc: 0.001552 loss_D_img_s: 0.6971 loss_cls_pseudo: 0.0007591 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4093 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6608 time: 1.5955 last_time: 1.6374 data_time: 0.0080 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 09:44:51] d2.utils.events INFO: eta: 2:01:59 iter: 45219 total_loss: 1.556 loss_cls: 0.009629 loss_box_reg: 0.0172 loss_rpn_cls: 0.01522 loss_rpn_loc: 0.001201 loss_D_img_s: 0.666 loss_cls_pseudo: 0.001429 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1039 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7081 time: 1.5954 last_time: 1.6200 data_time: 0.0085 last_data_time: 0.0103 lr: 0.02 max_mem: 14768M +[04/11 09:45:22] d2.utils.events INFO: eta: 2:01:27 iter: 45239 total_loss: 1.87 loss_cls: 0.007829 loss_box_reg: 0.01231 loss_rpn_cls: 0.04946 loss_rpn_loc: 0.001292 loss_D_img_s: 0.7238 loss_cls_pseudo: 0.001009 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.459 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.647 time: 1.5954 last_time: 1.4488 data_time: 0.0090 last_data_time: 0.0095 lr: 0.02 max_mem: 14768M +[04/11 09:45:52] d2.utils.events INFO: eta: 2:00:48 iter: 45259 total_loss: 1.899 loss_cls: 0.007624 loss_box_reg: 0.01584 loss_rpn_cls: 0.04841 loss_rpn_loc: 0.001122 loss_D_img_s: 0.6677 loss_cls_pseudo: 0.001079 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5038 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6728 time: 1.5953 last_time: 1.4856 data_time: 0.0083 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 09:46:23] d2.utils.events INFO: eta: 2:00:14 iter: 45279 total_loss: 1.954 loss_cls: 0.006741 loss_box_reg: 0.01605 loss_rpn_cls: 0.02911 loss_rpn_loc: 0.001027 loss_D_img_s: 0.6568 loss_cls_pseudo: 0.0004379 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4658 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7345 time: 1.5952 last_time: 1.5399 data_time: 0.0076 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 09:46:53] d2.utils.events INFO: eta: 1:59:39 iter: 45299 total_loss: 1.796 loss_cls: 0.005048 loss_box_reg: 0.01536 loss_rpn_cls: 0.01125 loss_rpn_loc: 0.00119 loss_D_img_s: 0.7642 loss_cls_pseudo: 0.001273 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4629 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eta: 1:57:45 iter: 45359 total_loss: 1.852 loss_cls: 0.005487 loss_box_reg: 0.01485 loss_rpn_cls: 0.02325 loss_rpn_loc: 0.001046 loss_D_img_s: 0.6788 loss_cls_pseudo: 0.0009351 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4486 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6806 time: 1.5949 last_time: 1.4898 data_time: 0.0080 last_data_time: 0.0088 lr: 0.02 max_mem: 14768M +[04/11 09:48:55] d2.utils.events INFO: eta: 1:57:13 iter: 45379 total_loss: 1.838 loss_cls: 0.00717 loss_box_reg: 0.01664 loss_rpn_cls: 0.01356 loss_rpn_loc: 0.001046 loss_D_img_s: 0.6826 loss_cls_pseudo: 0.0007036 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4448 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6944 time: 1.5949 last_time: 1.5399 data_time: 0.0082 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 09:49:25] d2.utils.events INFO: eta: 1:56:38 iter: 45399 total_loss: 1.863 loss_cls: 0.005029 loss_box_reg: 0.01389 loss_rpn_cls: 0.03651 loss_rpn_loc: 0.00107 loss_D_img_s: 0.7148 loss_cls_pseudo: 0.001551 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loss_D_img_s: 0.6581 loss_cls_pseudo: 0.0005182 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4396 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7086 time: 1.5944 last_time: 1.6016 data_time: 0.0084 last_data_time: 0.0112 lr: 0.02 max_mem: 14768M +[04/11 09:52:27] d2.utils.events INFO: eta: 1:53:07 iter: 45519 total_loss: 1.951 loss_cls: 0.006277 loss_box_reg: 0.01559 loss_rpn_cls: 0.02296 loss_rpn_loc: 0.001135 loss_D_img_s: 0.7704 loss_cls_pseudo: 0.0005622 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4868 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6364 time: 1.5943 last_time: 1.3839 data_time: 0.0080 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 09:52:58] d2.utils.events INFO: eta: 1:52:27 iter: 45539 total_loss: 1.772 loss_cls: 0.007716 loss_box_reg: 0.01375 loss_rpn_cls: 0.01933 loss_rpn_loc: 0.001093 loss_D_img_s: 0.6901 loss_cls_pseudo: 0.001539 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3059 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7007 time: 1.5942 last_time: 1.6341 data_time: 0.0076 last_data_time: 0.0085 lr: 0.02 max_mem: 14768M +[04/11 09:53:27] d2.utils.events INFO: eta: 1:51:49 iter: 45559 total_loss: 1.848 loss_cls: 0.009519 loss_box_reg: 0.0162 loss_rpn_cls: 0.009782 loss_rpn_loc: 0.001171 loss_D_img_s: 0.6639 loss_cls_pseudo: 0.001348 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4204 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7145 time: 1.5941 last_time: 1.5111 data_time: 0.0086 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 09:53:57] d2.utils.events INFO: eta: 1:51:14 iter: 45579 total_loss: 1.875 loss_cls: 0.00829 loss_box_reg: 0.01457 loss_rpn_cls: 0.01362 loss_rpn_loc: 0.00121 loss_D_img_s: 0.6833 loss_cls_pseudo: 0.001422 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4528 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.708 time: 1.5940 last_time: 1.3759 data_time: 0.0081 last_data_time: 0.0056 lr: 0.02 max_mem: 14768M +[04/11 09:54:27] d2.utils.events INFO: eta: 1:50:44 iter: 45599 total_loss: 1.913 loss_cls: 0.006847 loss_box_reg: 0.01521 loss_rpn_cls: 0.02559 loss_rpn_loc: 0.001011 loss_D_img_s: 0.7101 loss_cls_pseudo: 0.001303 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4537 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6811 time: 1.5940 last_time: 1.4898 data_time: 0.0081 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 09:54:57] d2.utils.events INFO: eta: 1:50:11 iter: 45619 total_loss: 1.933 loss_cls: 0.006215 loss_box_reg: 0.01476 loss_rpn_cls: 0.04895 loss_rpn_loc: 0.001049 loss_D_img_s: 0.6932 loss_cls_pseudo: 0.0007599 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4029 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6854 time: 1.5938 last_time: 1.5159 data_time: 0.0077 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 09:55:28] d2.utils.events INFO: eta: 1:49:37 iter: 45639 total_loss: 1.802 loss_cls: 0.007933 loss_box_reg: 0.01699 loss_rpn_cls: 0.02334 loss_rpn_loc: 0.001299 loss_D_img_s: 0.6958 loss_cls_pseudo: 0.001923 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3686 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6835 time: 1.5938 last_time: 1.4852 data_time: 0.0075 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 09:55:57] d2.utils.events INFO: eta: 1:49:05 iter: 45659 total_loss: 1.717 loss_cls: 0.01144 loss_box_reg: 0.02466 loss_rpn_cls: 0.01071 loss_rpn_loc: 0.001097 loss_D_img_s: 0.6817 loss_cls_pseudo: 0.002107 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2619 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6887 time: 1.5937 last_time: 1.4650 data_time: 0.0078 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 09:56:27] d2.utils.events INFO: eta: 1:48:35 iter: 45679 total_loss: 1.921 loss_cls: 0.008709 loss_box_reg: 0.01165 loss_rpn_cls: 0.05735 loss_rpn_loc: 0.001351 loss_D_img_s: 0.6941 loss_cls_pseudo: 0.0009256 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.463 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6907 time: 1.5936 last_time: 1.6400 data_time: 0.0084 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 09:56:57] d2.utils.events INFO: eta: 1:48:03 iter: 45699 total_loss: 1.916 loss_cls: 0.008162 loss_box_reg: 0.01765 loss_rpn_cls: 0.02941 loss_rpn_loc: 0.001333 loss_D_img_s: 0.6851 loss_cls_pseudo: 0.0006715 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4719 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6847 time: 1.5935 last_time: 1.4416 data_time: 0.0084 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 09:57:27] d2.utils.events INFO: eta: 1:47:28 iter: 45719 total_loss: 1.905 loss_cls: 0.008286 loss_box_reg: 0.01562 loss_rpn_cls: 0.01925 loss_rpn_loc: 0.00122 loss_D_img_s: 0.7019 loss_cls_pseudo: 0.0006817 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4632 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6731 time: 1.5934 last_time: 1.3939 data_time: 0.0078 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 09:57:58] d2.utils.events INFO: eta: 1:46:58 iter: 45739 total_loss: 1.613 loss_cls: 0.008044 loss_box_reg: 0.0167 loss_rpn_cls: 0.0122 loss_rpn_loc: 0.001053 loss_D_img_s: 0.6585 loss_cls_pseudo: 0.001167 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1671 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7178 time: 1.5933 last_time: 1.3932 data_time: 0.0084 last_data_time: 0.0085 lr: 0.02 max_mem: 14768M +[04/11 09:58:28] d2.utils.events INFO: eta: 1:46:27 iter: 45759 total_loss: 1.875 loss_cls: 0.005399 loss_box_reg: 0.01186 loss_rpn_cls: 0.0179 loss_rpn_loc: 0.0009463 loss_D_img_s: 0.7061 loss_cls_pseudo: 0.0007576 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4658 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6839 time: 1.5933 last_time: 1.7983 data_time: 0.0082 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 09:58:58] d2.utils.events INFO: eta: 1:45:55 iter: 45779 total_loss: 1.862 loss_cls: 0.006638 loss_box_reg: 0.01477 loss_rpn_cls: 0.01044 loss_rpn_loc: 0.00111 loss_D_img_s: 0.6727 loss_cls_pseudo: 0.0007756 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4511 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6929 time: 1.5932 last_time: 1.4717 data_time: 0.0077 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 09:59:28] d2.utils.events INFO: eta: 1:45:23 iter: 45799 total_loss: 1.756 loss_cls: 0.005339 loss_box_reg: 0.01239 loss_rpn_cls: 0.009675 loss_rpn_loc: 0.0008964 loss_D_img_s: 0.6856 loss_cls_pseudo: 0.001493 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3304 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6687 time: 1.5931 last_time: 1.3900 data_time: 0.0081 last_data_time: 0.0104 lr: 0.02 max_mem: 14768M +[04/11 09:59:57] d2.utils.events INFO: eta: 1:44:44 iter: 45819 total_loss: 1.803 loss_cls: 0.006336 loss_box_reg: 0.01381 loss_rpn_cls: 0.007142 loss_rpn_loc: 0.001435 loss_D_img_s: 0.6525 loss_cls_pseudo: 0.001016 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4348 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.724 time: 1.5930 last_time: 1.4075 data_time: 0.0079 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 10:00:26] d2.utils.events INFO: eta: 1:44:06 iter: 45839 total_loss: 1.919 loss_cls: 0.006147 loss_box_reg: 0.01614 loss_rpn_cls: 0.04633 loss_rpn_loc: 0.0009425 loss_D_img_s: 0.652 loss_cls_pseudo: 0.0005654 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4678 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7254 time: 1.5928 last_time: 1.4769 data_time: 0.0081 last_data_time: 0.0114 lr: 0.02 max_mem: 14768M +[04/11 10:00:57] d2.utils.events INFO: eta: 1:43:38 iter: 45859 total_loss: 1.872 loss_cls: 0.007115 loss_box_reg: 0.01477 loss_rpn_cls: 0.02612 loss_rpn_loc: 0.00108 loss_D_img_s: 0.6898 loss_cls_pseudo: 0.0003224 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4326 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6962 time: 1.5928 last_time: 1.5343 data_time: 0.0080 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 10:01:27] d2.utils.events INFO: eta: 1:43:03 iter: 45879 total_loss: 1.885 loss_cls: 0.006081 loss_box_reg: 0.01409 loss_rpn_cls: 0.0833 loss_rpn_loc: 0.0009964 loss_D_img_s: 0.6902 loss_cls_pseudo: 0.001373 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3627 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6624 time: 1.5927 last_time: 1.6754 data_time: 0.0081 last_data_time: 0.0090 lr: 0.02 max_mem: 14768M +[04/11 10:01:57] d2.utils.events INFO: eta: 1:42:33 iter: 45899 total_loss: 1.912 loss_cls: 0.01113 loss_box_reg: 0.0146 loss_rpn_cls: 0.06238 loss_rpn_loc: 0.001188 loss_D_img_s: 0.6941 loss_cls_pseudo: 0.001201 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4613 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6797 time: 1.5926 last_time: 1.5665 data_time: 0.0087 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 10:02:26] d2.utils.events INFO: eta: 1:41:54 iter: 45919 total_loss: 1.831 loss_cls: 0.008327 loss_box_reg: 0.01703 loss_rpn_cls: 0.0146 loss_rpn_loc: 0.001076 loss_D_img_s: 0.6802 loss_cls_pseudo: 0.0006578 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4302 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6797 time: 1.5924 last_time: 1.4473 data_time: 0.0077 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 10:02:56] d2.utils.events INFO: eta: 1:41:16 iter: 45939 total_loss: 1.748 loss_cls: 0.005918 loss_box_reg: 0.0161 loss_rpn_cls: 0.01411 loss_rpn_loc: 0.00116 loss_D_img_s: 0.6624 loss_cls_pseudo: 0.00028 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1996 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6953 time: 1.5923 last_time: 1.4741 data_time: 0.0081 last_data_time: 0.0088 lr: 0.02 max_mem: 14768M +[04/11 10:03:25] d2.utils.events INFO: eta: 1:40:42 iter: 45959 total_loss: 1.868 loss_cls: 0.006724 loss_box_reg: 0.01608 loss_rpn_cls: 0.01506 loss_rpn_loc: 0.00134 loss_D_img_s: 0.7196 loss_cls_pseudo: 0.0007399 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4443 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6699 time: 1.5922 last_time: 1.4032 data_time: 0.0081 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 10:03:54] d2.utils.events INFO: eta: 1:40:01 iter: 45979 total_loss: 1.737 loss_cls: 0.007175 loss_box_reg: 0.01532 loss_rpn_cls: 0.02239 loss_rpn_loc: 0.0009754 loss_D_img_s: 0.6943 loss_cls_pseudo: 0.001165 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2028 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.671 time: 1.5921 last_time: 1.4000 data_time: 0.0088 last_data_time: 0.0251 lr: 0.02 max_mem: 14768M +[04/11 10:04:24] d2.data.common INFO: Serializing the dataset using: +[04/11 10:04:24] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 10:04:24] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 10:04:24] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 10:04:24] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 10:04:25] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0231 s/iter. Inference: 0.0538 s/iter. Eval: 0.0002 s/iter. Total: 0.0771 s/iter. ETA=0:00:30 +[04/11 10:04:30] d2.evaluation.evaluator INFO: Inference done 86/410. Dataloading: 0.0146 s/iter. Inference: 0.0528 s/iter. Eval: 0.0002 s/iter. Total: 0.0677 s/iter. ETA=0:00:21 +[04/11 10:04:35] d2.evaluation.evaluator INFO: Inference done 167/410. Dataloading: 0.0125 s/iter. Inference: 0.0522 s/iter. Eval: 0.0002 s/iter. Total: 0.0649 s/iter. ETA=0:00:15 +[04/11 10:04:40] d2.evaluation.evaluator INFO: Inference done 241/410. Dataloading: 0.0121 s/iter. Inference: 0.0537 s/iter. Eval: 0.0002 s/iter. Total: 0.0661 s/iter. ETA=0:00:11 +[04/11 10:04:45] d2.evaluation.evaluator INFO: Inference done 320/410. Dataloading: 0.0116 s/iter. Inference: 0.0535 s/iter. Eval: 0.0002 s/iter. Total: 0.0654 s/iter. ETA=0:00:05 +[04/11 10:04:50] d2.evaluation.evaluator INFO: Inference done 399/410. Dataloading: 0.0114 s/iter. Inference: 0.0533 s/iter. Eval: 0.0002 s/iter. Total: 0.0651 s/iter. ETA=0:00:00 +[04/11 10:04:51] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.293548 (0.064922 s / iter per device, on 1 devices) +[04/11 10:04:51] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:21 (0.053127 s / iter per device, on 1 devices) +[04/11 10:04:51] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 10:04:51] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 10:04:51] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 10:04:51] d2.evaluation.testing INFO: copypaste: 3.7101,14.0396,0.2215 +[04/11 10:04:51] d2.data.common INFO: Serializing the dataset using: +[04/11 10:04:51] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 10:04:51] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 10:04:51] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 10:04:51] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 10:04:55] d2.evaluation.evaluator INFO: Inference done 49/410. Dataloading: 0.0208 s/iter. Inference: 0.0538 s/iter. Eval: 0.0002 s/iter. Total: 0.0747 s/iter. ETA=0:00:26 +[04/11 10:05:00] d2.evaluation.evaluator INFO: Inference done 124/410. Dataloading: 0.0152 s/iter. Inference: 0.0543 s/iter. Eval: 0.0003 s/iter. Total: 0.0699 s/iter. ETA=0:00:19 +[04/11 10:05:05] d2.evaluation.evaluator INFO: Inference done 204/410. Dataloading: 0.0122 s/iter. Inference: 0.0545 s/iter. Eval: 0.0003 s/iter. Total: 0.0671 s/iter. ETA=0:00:13 +[04/11 10:05:10] d2.evaluation.evaluator INFO: Inference done 280/410. Dataloading: 0.0126 s/iter. Inference: 0.0538 s/iter. Eval: 0.0002 s/iter. Total: 0.0668 s/iter. ETA=0:00:08 +[04/11 10:05:16] d2.evaluation.evaluator INFO: Inference done 357/410. Dataloading: 0.0126 s/iter. Inference: 0.0537 s/iter. Eval: 0.0002 s/iter. Total: 0.0666 s/iter. ETA=0:00:03 +[04/11 10:05:19] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.080064 (0.066864 s / iter per device, on 1 devices) +[04/11 10:05:19] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:21 (0.053963 s / iter per device, on 1 devices) +[04/11 10:05:19] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 10:05:19] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 10:05:19] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 10:05:19] d2.evaluation.testing INFO: copypaste: 1.8566,7.1751,1.3370 +[04/11 10:05:19] d2.utils.events INFO: eta: 1:39:27 iter: 45999 total_loss: 2.037 loss_cls: 0.009962 loss_box_reg: 0.01648 loss_rpn_cls: 0.08362 loss_rpn_loc: 0.001237 loss_D_img_s: 0.6441 loss_cls_pseudo: 0.0009939 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5123 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.727 time: 1.5920 last_time: 1.4804 data_time: 0.0085 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 10:05:49] d2.utils.events INFO: eta: 1:38:57 iter: 46019 total_loss: 1.888 loss_cls: 0.01208 loss_box_reg: 0.01843 loss_rpn_cls: 0.08647 loss_rpn_loc: 0.001708 loss_D_img_s: 0.6706 loss_cls_pseudo: 0.002015 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2057 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6727 time: 1.5919 last_time: 1.4656 data_time: 0.0089 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 10:06:19] d2.utils.events INFO: eta: 1:38:27 iter: 46039 total_loss: 1.78 loss_cls: 0.007699 loss_box_reg: 0.01513 loss_rpn_cls: 0.03968 loss_rpn_loc: 0.001272 loss_D_img_s: 0.6662 loss_cls_pseudo: 0.0006183 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2466 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6939 time: 1.5918 last_time: 1.5647 data_time: 0.0078 last_data_time: 0.0104 lr: 0.02 max_mem: 14768M +[04/11 10:06:49] d2.utils.events INFO: eta: 1:37:55 iter: 46059 total_loss: 1.605 loss_cls: 0.00656 loss_box_reg: 0.01713 loss_rpn_cls: 0.01258 loss_rpn_loc: 0.001228 loss_D_img_s: 0.6754 loss_cls_pseudo: 0.0007598 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.145 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7226 time: 1.5917 last_time: 1.4511 data_time: 0.0076 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 10:07:19] d2.utils.events INFO: eta: 1:37:24 iter: 46079 total_loss: 1.822 loss_cls: 0.004879 loss_box_reg: 0.01073 loss_rpn_cls: 0.02201 loss_rpn_loc: 0.00139 loss_D_img_s: 0.7068 loss_cls_pseudo: 0.0003686 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4056 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6206 time: 1.5916 last_time: 1.4268 data_time: 0.0081 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 10:07:49] d2.utils.events INFO: eta: 1:36:52 iter: 46099 total_loss: 1.746 loss_cls: 0.008646 loss_box_reg: 0.01494 loss_rpn_cls: 0.009211 loss_rpn_loc: 0.00113 loss_D_img_s: 0.6082 loss_cls_pseudo: 0.002763 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1402 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.8183 time: 1.5915 last_time: 1.5046 data_time: 0.0088 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 10:08:19] d2.utils.events INFO: eta: 1:36:20 iter: 46119 total_loss: 1.804 loss_cls: 0.008939 loss_box_reg: 0.01667 loss_rpn_cls: 0.03027 loss_rpn_loc: 0.001117 loss_D_img_s: 0.7423 loss_cls_pseudo: 0.001391 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3415 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.679 time: 1.5914 last_time: 1.4310 data_time: 0.0081 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 10:08:49] d2.utils.events INFO: eta: 1:35:48 iter: 46139 total_loss: 1.987 loss_cls: 0.005738 loss_box_reg: 0.01666 loss_rpn_cls: 0.06776 loss_rpn_loc: 0.001305 loss_D_img_s: 0.7365 loss_cls_pseudo: 0.001116 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4697 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6652 time: 1.5913 last_time: 1.5276 data_time: 0.0076 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 10:09:18] d2.utils.events INFO: eta: 1:35:14 iter: 46159 total_loss: 1.923 loss_cls: 0.006598 loss_box_reg: 0.01328 loss_rpn_cls: 0.06123 loss_rpn_loc: 0.001055 loss_D_img_s: 0.6794 loss_cls_pseudo: 0.001592 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4448 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7098 time: 1.5912 last_time: 1.3745 data_time: 0.0078 last_data_time: 0.0059 lr: 0.02 max_mem: 14768M +[04/11 10:09:48] d2.utils.events INFO: eta: 1:34:45 iter: 46179 total_loss: 1.784 loss_cls: 0.007649 loss_box_reg: 0.01386 loss_rpn_cls: 0.09076 loss_rpn_loc: 0.0013 loss_D_img_s: 0.6625 loss_cls_pseudo: 0.001255 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2116 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7061 time: 1.5911 last_time: 1.5255 data_time: 0.0078 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 10:10:18] d2.utils.events INFO: eta: 1:34:15 iter: 46199 total_loss: 1.89 loss_cls: 0.006422 loss_box_reg: 0.01403 loss_rpn_cls: 0.02847 loss_rpn_loc: 0.0008676 loss_D_img_s: 0.7 loss_cls_pseudo: 0.002116 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4696 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6764 time: 1.5910 last_time: 1.6147 data_time: 0.0082 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 10:10:47] d2.utils.events INFO: eta: 1:33:42 iter: 46219 total_loss: 1.669 loss_cls: 0.006976 loss_box_reg: 0.01653 loss_rpn_cls: 0.01557 loss_rpn_loc: 0.001257 loss_D_img_s: 0.6737 loss_cls_pseudo: 0.00116 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1593 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7052 time: 1.5909 last_time: 1.9232 data_time: 0.0082 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 10:11:17] d2.utils.events INFO: eta: 1:33:03 iter: 46239 total_loss: 1.84 loss_cls: 0.01005 loss_box_reg: 0.01204 loss_rpn_cls: 0.03784 loss_rpn_loc: 0.001246 loss_D_img_s: 0.7162 loss_cls_pseudo: 0.0005897 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2822 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.661 time: 1.5908 last_time: 1.3362 data_time: 0.0078 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 10:11:46] d2.utils.events INFO: eta: 1:32:31 iter: 46259 total_loss: 1.893 loss_cls: 0.005817 loss_box_reg: 0.01528 loss_rpn_cls: 0.01857 loss_rpn_loc: 0.001195 loss_D_img_s: 0.7205 loss_cls_pseudo: 0.0008533 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4421 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.662 time: 1.5907 last_time: 1.4331 data_time: 0.0085 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 10:12:16] d2.utils.events INFO: eta: 1:31:59 iter: 46279 total_loss: 1.915 loss_cls: 0.004137 loss_box_reg: 0.01251 loss_rpn_cls: 0.01886 loss_rpn_loc: 0.0009891 loss_D_img_s: 0.7161 loss_cls_pseudo: 0.0005873 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4518 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6629 time: 1.5906 last_time: 1.4151 data_time: 0.0077 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 10:12:46] d2.utils.events INFO: eta: 1:31:27 iter: 46299 total_loss: 1.788 loss_cls: 0.004787 loss_box_reg: 0.01539 loss_rpn_cls: 0.01304 loss_rpn_loc: 0.001014 loss_D_img_s: 0.662 loss_cls_pseudo: 0.001504 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.441 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7184 time: 1.5905 last_time: 1.4624 data_time: 0.0085 last_data_time: 0.0138 lr: 0.02 max_mem: 14768M +[04/11 10:13:16] d2.utils.events INFO: eta: 1:30:56 iter: 46319 total_loss: 1.618 loss_cls: 0.006797 loss_box_reg: 0.0173 loss_rpn_cls: 0.01016 loss_rpn_loc: 0.0008923 loss_D_img_s: 0.6896 loss_cls_pseudo: 0.001043 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1865 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6945 time: 1.5904 last_time: 1.5887 data_time: 0.0083 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 10:13:46] d2.utils.events INFO: eta: 1:30:27 iter: 46339 total_loss: 1.913 loss_cls: 0.005254 loss_box_reg: 0.01344 loss_rpn_cls: 0.009034 loss_rpn_loc: 0.001066 loss_D_img_s: 0.6924 loss_cls_pseudo: 0.0007476 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4593 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.677 time: 1.5903 last_time: 1.5647 data_time: 0.0089 last_data_time: 0.0134 lr: 0.02 max_mem: 14768M +[04/11 10:14:15] d2.utils.events INFO: eta: 1:29:56 iter: 46359 total_loss: 1.892 loss_cls: 0.005945 loss_box_reg: 0.01657 loss_rpn_cls: 0.01579 loss_rpn_loc: 0.001218 loss_D_img_s: 0.716 loss_cls_pseudo: 0.0005973 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4565 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6675 time: 1.5902 last_time: 1.4637 data_time: 0.0076 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 10:14:45] d2.utils.events INFO: eta: 1:29:23 iter: 46379 total_loss: 1.974 loss_cls: 0.007481 loss_box_reg: 0.01823 loss_rpn_cls: 0.01084 loss_rpn_loc: 0.001096 loss_D_img_s: 0.6868 loss_cls_pseudo: 0.00122 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5025 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6852 time: 1.5901 last_time: 1.4691 data_time: 0.0078 last_data_time: 0.0101 lr: 0.02 max_mem: 14768M +[04/11 10:15:15] d2.utils.events INFO: eta: 1:28:53 iter: 46399 total_loss: 1.801 loss_cls: 0.00806 loss_box_reg: 0.01695 loss_rpn_cls: 0.01177 loss_rpn_loc: 0.001418 loss_D_img_s: 0.6742 loss_cls_pseudo: 0.001769 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3746 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7336 time: 1.5901 last_time: 1.4330 data_time: 0.0079 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 10:15:45] d2.utils.events INFO: eta: 1:28:20 iter: 46419 total_loss: 1.884 loss_cls: 0.008837 loss_box_reg: 0.01555 loss_rpn_cls: 0.02752 loss_rpn_loc: 0.001057 loss_D_img_s: 0.6914 loss_cls_pseudo: 0.0008003 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4598 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6989 time: 1.5900 last_time: 1.5525 data_time: 0.0087 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 10:16:14] d2.utils.events INFO: eta: 1:27:46 iter: 46439 total_loss: 1.636 loss_cls: 0.006245 loss_box_reg: 0.01624 loss_rpn_cls: 0.008773 loss_rpn_loc: 0.001018 loss_D_img_s: 0.6782 loss_cls_pseudo: 0.0009452 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1537 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6964 time: 1.5898 last_time: 1.4000 data_time: 0.0079 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 10:16:44] d2.utils.events INFO: eta: 1:27:16 iter: 46459 total_loss: 1.84 loss_cls: 0.008516 loss_box_reg: 0.01544 loss_rpn_cls: 0.00656 loss_rpn_loc: 0.001249 loss_D_img_s: 0.6909 loss_cls_pseudo: 0.0005085 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4387 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6756 time: 1.5898 last_time: 1.6384 data_time: 0.0079 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 10:17:14] d2.utils.events INFO: eta: 1:26:45 iter: 46479 total_loss: 1.601 loss_cls: 0.008798 loss_box_reg: 0.01488 loss_rpn_cls: 0.006596 loss_rpn_loc: 0.001185 loss_D_img_s: 0.6965 loss_cls_pseudo: 0.001764 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1828 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6731 time: 1.5897 last_time: 1.5774 data_time: 0.0080 last_data_time: 0.0096 lr: 0.02 max_mem: 14768M +[04/11 10:17:44] d2.utils.events INFO: eta: 1:26:15 iter: 46499 total_loss: 1.791 loss_cls: 0.01006 loss_box_reg: 0.01298 loss_rpn_cls: 0.02011 loss_rpn_loc: 0.001306 loss_D_img_s: 0.7084 loss_cls_pseudo: 0.0008288 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3203 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6568 time: 1.5896 last_time: 1.5447 data_time: 0.0077 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 10:18:14] d2.utils.events INFO: eta: 1:25:42 iter: 46519 total_loss: 1.768 loss_cls: 0.006059 loss_box_reg: 0.01778 loss_rpn_cls: 0.01656 loss_rpn_loc: 0.001179 loss_D_img_s: 0.6905 loss_cls_pseudo: 0.0004959 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2641 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6907 time: 1.5895 last_time: 1.6232 data_time: 0.0090 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 10:18:43] d2.utils.events INFO: eta: 1:25:10 iter: 46539 total_loss: 1.873 loss_cls: 0.006609 loss_box_reg: 0.0181 loss_rpn_cls: 0.01498 loss_rpn_loc: 0.001111 loss_D_img_s: 0.7081 loss_cls_pseudo: 0.0001517 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4666 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6495 time: 1.5894 last_time: 1.4946 data_time: 0.0069 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 10:19:13] d2.utils.events INFO: eta: 1:24:40 iter: 46559 total_loss: 1.806 loss_cls: 0.005269 loss_box_reg: 0.01598 loss_rpn_cls: 0.02917 loss_rpn_loc: 0.001161 loss_D_img_s: 0.681 loss_cls_pseudo: 0.0003223 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4417 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6723 time: 1.5893 last_time: 1.3500 data_time: 0.0081 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 10:19:42] d2.utils.events INFO: eta: 1:24:09 iter: 46579 total_loss: 1.816 loss_cls: 0.006094 loss_box_reg: 0.0169 loss_rpn_cls: 0.005622 loss_rpn_loc: 0.001003 loss_D_img_s: 0.698 loss_cls_pseudo: 0.0003831 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4222 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7138 time: 1.5892 last_time: 1.5242 data_time: 0.0084 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 10:20:12] d2.utils.events INFO: eta: 1:23:39 iter: 46599 total_loss: 1.805 loss_cls: 0.007403 loss_box_reg: 0.01766 loss_rpn_cls: 0.01412 loss_rpn_loc: 0.0009882 loss_D_img_s: 0.658 loss_cls_pseudo: 0.001274 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4532 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7185 time: 1.5891 last_time: 1.4286 data_time: 0.0078 last_data_time: 0.0085 lr: 0.02 max_mem: 14768M +[04/11 10:20:42] d2.utils.events INFO: eta: 1:23:11 iter: 46619 total_loss: 1.719 loss_cls: 0.004906 loss_box_reg: 0.01799 loss_rpn_cls: 0.007208 loss_rpn_loc: 0.00117 loss_D_img_s: 0.6731 loss_cls_pseudo: 0.0009484 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2481 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7198 time: 1.5890 last_time: 1.4984 data_time: 0.0081 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 10:21:12] d2.utils.events INFO: eta: 1:22:40 iter: 46639 total_loss: 1.951 loss_cls: 0.007587 loss_box_reg: 0.01498 loss_rpn_cls: 0.01354 loss_rpn_loc: 0.001276 loss_D_img_s: 0.7189 loss_cls_pseudo: 0.00139 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5127 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6613 time: 1.5889 last_time: 1.3574 data_time: 0.0081 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 10:21:43] d2.utils.events INFO: eta: 1:22:12 iter: 46659 total_loss: 1.809 loss_cls: 0.007381 loss_box_reg: 0.01851 loss_rpn_cls: 0.02208 loss_rpn_loc: 0.000924 loss_D_img_s: 0.6849 loss_cls_pseudo: 0.00183 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.384 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6904 time: 1.5889 last_time: 1.5268 data_time: 0.0085 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 10:22:13] d2.utils.events INFO: eta: 1:21:43 iter: 46679 total_loss: 1.88 loss_cls: 0.01019 loss_box_reg: 0.01575 loss_rpn_cls: 0.07821 loss_rpn_loc: 0.001365 loss_D_img_s: 0.6843 loss_cls_pseudo: 0.0008272 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4676 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7039 time: 1.5888 last_time: 1.3647 data_time: 0.0096 last_data_time: 0.0099 lr: 0.02 max_mem: 14768M +[04/11 10:22:43] d2.utils.events INFO: eta: 1:21:11 iter: 46699 total_loss: 1.74 loss_cls: 0.01199 loss_box_reg: 0.01926 loss_rpn_cls: 0.02188 loss_rpn_loc: 0.00131 loss_D_img_s: 0.6466 loss_cls_pseudo: 0.001391 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1949 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7332 time: 1.5887 last_time: 1.3919 data_time: 0.0074 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 10:23:12] d2.utils.events INFO: eta: 1:20:43 iter: 46719 total_loss: 2.003 loss_cls: 0.007419 loss_box_reg: 0.01379 loss_rpn_cls: 0.1485 loss_rpn_loc: 0.001135 loss_D_img_s: 0.724 loss_cls_pseudo: 0.00165 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.45 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.641 time: 1.5886 last_time: 1.5324 data_time: 0.0079 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 10:23:42] d2.utils.events INFO: eta: 1:20:12 iter: 46739 total_loss: 1.954 loss_cls: 0.008717 loss_box_reg: 0.01672 loss_rpn_cls: 0.05943 loss_rpn_loc: 0.001491 loss_D_img_s: 0.6652 loss_cls_pseudo: 0.0006187 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4749 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6979 time: 1.5885 last_time: 1.4709 data_time: 0.0076 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 10:24:11] d2.utils.events INFO: eta: 1:19:40 iter: 46759 total_loss: 1.913 loss_cls: 0.01044 loss_box_reg: 0.01693 loss_rpn_cls: 0.04482 loss_rpn_loc: 0.001183 loss_D_img_s: 0.6958 loss_cls_pseudo: 0.0004629 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4507 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6616 time: 1.5884 last_time: 1.3963 data_time: 0.0078 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 10:24:41] d2.utils.events INFO: eta: 1:19:11 iter: 46779 total_loss: 1.826 loss_cls: 0.00625 loss_box_reg: 0.01463 loss_rpn_cls: 0.03077 loss_rpn_loc: 0.001288 loss_D_img_s: 0.6784 loss_cls_pseudo: 0.0005616 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3269 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6997 time: 1.5883 last_time: 1.5797 data_time: 0.0074 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 10:25:11] d2.utils.events INFO: eta: 1:18:41 iter: 46799 total_loss: 1.872 loss_cls: 0.006692 loss_box_reg: 0.01889 loss_rpn_cls: 0.03439 loss_rpn_loc: 0.001245 loss_D_img_s: 0.6901 loss_cls_pseudo: 0.0008665 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4699 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6671 time: 1.5882 last_time: 1.3668 data_time: 0.0076 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 10:25:40] d2.utils.events INFO: eta: 1:18:12 iter: 46819 total_loss: 1.701 loss_cls: 0.006685 loss_box_reg: 0.016 loss_rpn_cls: 0.01633 loss_rpn_loc: 0.001052 loss_D_img_s: 0.6312 loss_cls_pseudo: 0.001381 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1956 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7173 time: 1.5881 last_time: 1.4854 data_time: 0.0074 last_data_time: 0.0058 lr: 0.02 max_mem: 14768M +[04/11 10:26:10] d2.utils.events INFO: eta: 1:17:43 iter: 46839 total_loss: 1.7 loss_cls: 0.008611 loss_box_reg: 0.01413 loss_rpn_cls: 0.01748 loss_rpn_loc: 0.001253 loss_D_img_s: 0.706 loss_cls_pseudo: 0.001657 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1532 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6993 time: 1.5880 last_time: 1.5573 data_time: 0.0095 last_data_time: 0.0154 lr: 0.02 max_mem: 14768M +[04/11 10:26:40] d2.utils.events INFO: eta: 1:17:13 iter: 46859 total_loss: 1.927 loss_cls: 0.006199 loss_box_reg: 0.01374 loss_rpn_cls: 0.02442 loss_rpn_loc: 0.001184 loss_D_img_s: 0.7244 loss_cls_pseudo: 0.00141 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.456 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6137 time: 1.5879 last_time: 1.4916 data_time: 0.0077 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 10:27:10] d2.utils.events INFO: eta: 1:16:43 iter: 46879 total_loss: 1.764 loss_cls: 0.005754 loss_box_reg: 0.01554 loss_rpn_cls: 0.01683 loss_rpn_loc: 0.001072 loss_D_img_s: 0.6109 loss_cls_pseudo: 0.0009237 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3336 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7713 time: 1.5878 last_time: 1.5525 data_time: 0.0081 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 10:27:39] d2.utils.events INFO: eta: 1:16:09 iter: 46899 total_loss: 1.817 loss_cls: 0.01245 loss_box_reg: 0.01677 loss_rpn_cls: 0.02204 loss_rpn_loc: 0.001455 loss_D_img_s: 0.7319 loss_cls_pseudo: 0.001272 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4666 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6151 time: 1.5877 last_time: 1.5372 data_time: 0.0080 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 10:28:08] d2.utils.events INFO: eta: 1:15:42 iter: 46919 total_loss: 1.871 loss_cls: 0.006028 loss_box_reg: 0.01422 loss_rpn_cls: 0.03479 loss_rpn_loc: 0.001044 loss_D_img_s: 0.719 loss_cls_pseudo: 0.001117 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4636 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6771 time: 1.5876 last_time: 1.5108 data_time: 0.0075 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 10:28:38] d2.utils.events INFO: eta: 1:15:13 iter: 46939 total_loss: 1.869 loss_cls: 0.008659 loss_box_reg: 0.01365 loss_rpn_cls: 0.007542 loss_rpn_loc: 0.001404 loss_D_img_s: 0.6147 loss_cls_pseudo: 0.002344 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3382 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7701 time: 1.5875 last_time: 1.3918 data_time: 0.0079 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 10:29:07] d2.utils.events INFO: eta: 1:14:44 iter: 46959 total_loss: 1.825 loss_cls: 0.009104 loss_box_reg: 0.01246 loss_rpn_cls: 0.02113 loss_rpn_loc: 0.001161 loss_D_img_s: 0.6647 loss_cls_pseudo: 0.0008131 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3889 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6942 time: 1.5874 last_time: 1.4725 data_time: 0.0079 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 10:29:37] d2.utils.events INFO: eta: 1:14:15 iter: 46979 total_loss: 1.788 loss_cls: 0.006637 loss_box_reg: 0.01659 loss_rpn_cls: 0.009198 loss_rpn_loc: 0.001229 loss_D_img_s: 0.6956 loss_cls_pseudo: 0.0008041 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2938 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6941 time: 1.5873 last_time: 1.5042 data_time: 0.0079 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 10:30:07] d2.data.common INFO: Serializing the dataset using: +[04/11 10:30:07] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 10:30:07] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 10:30:07] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 10:30:07] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 10:30:09] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0339 s/iter. Inference: 0.0602 s/iter. Eval: 0.0001 s/iter. Total: 0.0942 s/iter. ETA=0:00:37 +[04/11 10:30:14] d2.evaluation.evaluator INFO: Inference done 78/410. Dataloading: 0.0229 s/iter. Inference: 0.0538 s/iter. Eval: 0.0002 s/iter. Total: 0.0770 s/iter. ETA=0:00:25 +[04/11 10:30:19] d2.evaluation.evaluator INFO: Inference done 153/410. Dataloading: 0.0181 s/iter. Inference: 0.0535 s/iter. Eval: 0.0002 s/iter. Total: 0.0719 s/iter. ETA=0:00:18 +[04/11 10:30:24] d2.evaluation.evaluator INFO: Inference done 229/410. Dataloading: 0.0155 s/iter. Inference: 0.0541 s/iter. Eval: 0.0002 s/iter. Total: 0.0699 s/iter. ETA=0:00:12 +[04/11 10:30:29] d2.evaluation.evaluator INFO: Inference done 312/410. Dataloading: 0.0138 s/iter. Inference: 0.0532 s/iter. Eval: 0.0002 s/iter. Total: 0.0674 s/iter. ETA=0:00:06 +[04/11 10:30:34] d2.evaluation.evaluator INFO: Inference done 394/410. Dataloading: 0.0130 s/iter. Inference: 0.0527 s/iter. Eval: 0.0002 s/iter. Total: 0.0660 s/iter. ETA=0:00:01 +[04/11 10:30:35] d2.evaluation.evaluator INFO: Total inference time: 0:00:26.721367 (0.065979 s / iter per device, on 1 devices) +[04/11 10:30:35] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:21 (0.052611 s / iter per device, on 1 devices) +[04/11 10:30:35] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 10:30:35] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 10:30:35] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 10:30:35] d2.evaluation.testing INFO: copypaste: 7.2831,22.2030,1.2690 +[04/11 10:30:35] d2.data.common INFO: Serializing the dataset using: +[04/11 10:30:35] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 10:30:35] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 10:30:35] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 10:30:35] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 10:30:39] d2.evaluation.evaluator INFO: Inference done 41/410. Dataloading: 0.0271 s/iter. Inference: 0.0545 s/iter. Eval: 0.0002 s/iter. Total: 0.0819 s/iter. ETA=0:00:30 +[04/11 10:30:44] d2.evaluation.evaluator INFO: Inference done 115/410. Dataloading: 0.0166 s/iter. Inference: 0.0558 s/iter. Eval: 0.0002 s/iter. Total: 0.0728 s/iter. ETA=0:00:21 +[04/11 10:30:49] d2.evaluation.evaluator INFO: Inference done 194/410. Dataloading: 0.0139 s/iter. Inference: 0.0547 s/iter. Eval: 0.0002 s/iter. Total: 0.0689 s/iter. ETA=0:00:14 +[04/11 10:30:54] d2.evaluation.evaluator INFO: Inference done 271/410. Dataloading: 0.0129 s/iter. Inference: 0.0547 s/iter. Eval: 0.0002 s/iter. Total: 0.0679 s/iter. ETA=0:00:09 +[04/11 10:30:59] d2.evaluation.evaluator INFO: Inference done 347/410. Dataloading: 0.0129 s/iter. Inference: 0.0543 s/iter. Eval: 0.0002 s/iter. Total: 0.0675 s/iter. ETA=0:00:04 +[04/11 10:31:03] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.002037 (0.066672 s / iter per device, on 1 devices) +[04/11 10:31:03] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:21 (0.054171 s / iter per device, on 1 devices) +[04/11 10:31:03] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 10:31:03] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 10:31:03] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 10:31:03] d2.evaluation.testing INFO: copypaste: 2.9776,9.5678,2.0571 +[04/11 10:31:03] d2.utils.events INFO: eta: 1:13:46 iter: 46999 total_loss: 1.86 loss_cls: 0.00782 loss_box_reg: 0.01444 loss_rpn_cls: 0.03134 loss_rpn_loc: 0.001037 loss_D_img_s: 0.7115 loss_cls_pseudo: 0.0006664 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.474 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6775 time: 1.5872 last_time: 1.5649 data_time: 0.0080 last_data_time: 0.0096 lr: 0.02 max_mem: 14768M +[04/11 10:31:32] d2.utils.events INFO: eta: 1:13:16 iter: 47019 total_loss: 1.925 loss_cls: 0.006924 loss_box_reg: 0.01676 loss_rpn_cls: 0.01852 loss_rpn_loc: 0.001338 loss_D_img_s: 0.6349 loss_cls_pseudo: 0.0006369 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4577 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7271 time: 1.5871 last_time: 1.4055 data_time: 0.0080 last_data_time: 0.0061 lr: 0.02 max_mem: 14768M +[04/11 10:32:02] d2.utils.events INFO: eta: 1:12:46 iter: 47039 total_loss: 1.855 loss_cls: 0.007718 loss_box_reg: 0.01773 loss_rpn_cls: 0.0561 loss_rpn_loc: 0.001337 loss_D_img_s: 0.7237 loss_cls_pseudo: 0.0004259 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4504 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6402 time: 1.5870 last_time: 1.3985 data_time: 0.0076 last_data_time: 0.0088 lr: 0.02 max_mem: 14768M +[04/11 10:32:31] d2.utils.events INFO: eta: 1:12:16 iter: 47059 total_loss: 1.804 loss_cls: 0.007872 loss_box_reg: 0.0182 loss_rpn_cls: 0.02253 loss_rpn_loc: 0.001395 loss_D_img_s: 0.6731 loss_cls_pseudo: 0.0004759 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3075 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7254 time: 1.5869 last_time: 1.3475 data_time: 0.0081 last_data_time: 0.0096 lr: 0.02 max_mem: 14768M +[04/11 10:33:01] d2.utils.events INFO: eta: 1:11:44 iter: 47079 total_loss: 1.663 loss_cls: 0.009242 loss_box_reg: 0.0146 loss_rpn_cls: 0.04243 loss_rpn_loc: 0.001196 loss_D_img_s: 0.6621 loss_cls_pseudo: 0.001432 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1439 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7048 time: 1.5868 last_time: 1.5095 data_time: 0.0077 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 10:33:31] d2.utils.events INFO: eta: 1:11:16 iter: 47099 total_loss: 1.892 loss_cls: 0.00661 loss_box_reg: 0.01641 loss_rpn_cls: 0.01894 loss_rpn_loc: 0.001005 loss_D_img_s: 0.6727 loss_cls_pseudo: 0.0006958 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4907 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7072 time: 1.5867 last_time: 1.3695 data_time: 0.0090 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 10:34:00] d2.utils.events INFO: eta: 1:10:44 iter: 47119 total_loss: 1.645 loss_cls: 0.005877 loss_box_reg: 0.01371 loss_rpn_cls: 0.01325 loss_rpn_loc: 0.001173 loss_D_img_s: 0.7111 loss_cls_pseudo: 0.0006508 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2139 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6739 time: 1.5866 last_time: 1.5758 data_time: 0.0084 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 10:34:30] d2.utils.events INFO: eta: 1:10:15 iter: 47139 total_loss: 1.948 loss_cls: 0.006253 loss_box_reg: 0.01516 loss_rpn_cls: 0.06705 loss_rpn_loc: 0.001379 loss_D_img_s: 0.7153 loss_cls_pseudo: 0.0008937 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.479 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.627 time: 1.5865 last_time: 1.4275 data_time: 0.0078 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 10:34:59] d2.utils.events INFO: eta: 1:09:41 iter: 47159 total_loss: 1.891 loss_cls: 0.006893 loss_box_reg: 0.01674 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INFO: eta: 1:04:43 iter: 47359 total_loss: 1.911 loss_cls: 0.006131 loss_box_reg: 0.02052 loss_rpn_cls: 0.03703 loss_rpn_loc: 0.001081 loss_D_img_s: 0.7262 loss_cls_pseudo: 0.002295 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.456 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6875 time: 1.5854 last_time: 1.4065 data_time: 0.0086 last_data_time: 0.0060 lr: 0.02 max_mem: 14768M +[04/11 10:40:25] d2.utils.events INFO: eta: 1:04:16 iter: 47379 total_loss: 1.882 loss_cls: 0.008076 loss_box_reg: 0.01861 loss_rpn_cls: 0.02366 loss_rpn_loc: 0.000944 loss_D_img_s: 0.668 loss_cls_pseudo: 0.001262 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4549 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7101 time: 1.5854 last_time: 1.6599 data_time: 0.0082 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 10:40:54] d2.utils.events INFO: eta: 1:03:46 iter: 47399 total_loss: 1.893 loss_cls: 0.005948 loss_box_reg: 0.01432 loss_rpn_cls: 0.01946 loss_rpn_loc: 0.001157 loss_D_img_s: 0.6568 loss_cls_pseudo: 0.001682 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eta: 0:53:55 iter: 47799 total_loss: 1.789 loss_cls: 0.006063 loss_box_reg: 0.01218 loss_rpn_cls: 0.06251 loss_rpn_loc: 0.0007926 loss_D_img_s: 0.7073 loss_cls_pseudo: 0.0007086 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3441 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6817 time: 1.5834 last_time: 1.4536 data_time: 0.0078 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 10:51:16] d2.utils.events INFO: eta: 0:53:27 iter: 47819 total_loss: 1.848 loss_cls: 0.005871 loss_box_reg: 0.01239 loss_rpn_cls: 0.03502 loss_rpn_loc: 0.0009401 loss_D_img_s: 0.6594 loss_cls_pseudo: 0.0007974 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4523 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7139 time: 1.5833 last_time: 1.5455 data_time: 0.0078 last_data_time: 0.0100 lr: 0.02 max_mem: 14768M +[04/11 10:51:45] d2.utils.events INFO: eta: 0:52:57 iter: 47839 total_loss: 1.893 loss_cls: 0.004966 loss_box_reg: 0.01233 loss_rpn_cls: 0.04923 loss_rpn_loc: 0.0009177 loss_D_img_s: 0.69 loss_cls_pseudo: 0.000511 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4639 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6767 time: 1.5832 last_time: 1.5879 data_time: 0.0081 last_data_time: 0.0089 lr: 0.02 max_mem: 14768M +[04/11 10:52:15] d2.utils.events INFO: eta: 0:52:27 iter: 47859 total_loss: 1.824 loss_cls: 0.006052 loss_box_reg: 0.01424 loss_rpn_cls: 0.01192 loss_rpn_loc: 0.0009329 loss_D_img_s: 0.6819 loss_cls_pseudo: 0.001319 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.427 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6897 time: 1.5831 last_time: 1.5632 data_time: 0.0079 last_data_time: 0.0090 lr: 0.02 max_mem: 14768M +[04/11 10:52:45] d2.utils.events INFO: eta: 0:51:58 iter: 47879 total_loss: 1.892 loss_cls: 0.004772 loss_box_reg: 0.01425 loss_rpn_cls: 0.0813 loss_rpn_loc: 0.001077 loss_D_img_s: 0.6968 loss_cls_pseudo: 0.0008464 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4734 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.667 time: 1.5830 last_time: 1.5325 data_time: 0.0082 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 10:53:14] d2.utils.events INFO: eta: 0:51:29 iter: 47899 total_loss: 1.802 loss_cls: 0.008199 loss_box_reg: 0.01477 loss_rpn_cls: 0.03212 loss_rpn_loc: 0.001035 loss_D_img_s: 0.6768 loss_cls_pseudo: 0.0006871 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4399 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7265 time: 1.5829 last_time: 1.4757 data_time: 0.0092 last_data_time: 0.0117 lr: 0.02 max_mem: 14768M +[04/11 10:53:43] d2.utils.events INFO: eta: 0:51:00 iter: 47919 total_loss: 1.603 loss_cls: 0.007087 loss_box_reg: 0.01674 loss_rpn_cls: 0.008204 loss_rpn_loc: 0.001246 loss_D_img_s: 0.6568 loss_cls_pseudo: 0.001355 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1898 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7344 time: 1.5828 last_time: 1.4766 data_time: 0.0080 last_data_time: 0.0106 lr: 0.02 max_mem: 14768M +[04/11 10:54:12] d2.utils.events INFO: eta: 0:50:29 iter: 47939 total_loss: 1.878 loss_cls: 0.005085 loss_box_reg: 0.01223 loss_rpn_cls: 0.0621 loss_rpn_loc: 0.001013 loss_D_img_s: 0.7359 loss_cls_pseudo: 0.0007297 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4415 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6751 time: 1.5827 last_time: 1.4900 data_time: 0.0078 last_data_time: 0.0105 lr: 0.02 max_mem: 14768M +[04/11 10:54:41] d2.utils.events INFO: eta: 0:50:00 iter: 47959 total_loss: 1.684 loss_cls: 0.00753 loss_box_reg: 0.0182 loss_rpn_cls: 0.01078 loss_rpn_loc: 0.001057 loss_D_img_s: 0.623 loss_cls_pseudo: 0.0007203 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2125 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7249 time: 1.5826 last_time: 1.5089 data_time: 0.0075 last_data_time: 0.0128 lr: 0.02 max_mem: 14768M +[04/11 10:55:11] d2.utils.events INFO: eta: 0:49:30 iter: 47979 total_loss: 1.778 loss_cls: 0.005342 loss_box_reg: 0.01496 loss_rpn_cls: 0.02546 loss_rpn_loc: 0.001167 loss_D_img_s: 0.7169 loss_cls_pseudo: 0.000978 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4465 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6593 time: 1.5825 last_time: 1.4668 data_time: 0.0076 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 10:55:40] d2.data.common INFO: Serializing the dataset using: +[04/11 10:55:40] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 10:55:40] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 10:55:40] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 10:55:40] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 10:55:42] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0121 s/iter. Inference: 0.0491 s/iter. Eval: 0.0002 s/iter. Total: 0.0614 s/iter. ETA=0:00:24 +[04/11 10:55:47] d2.evaluation.evaluator INFO: Inference done 79/410. Dataloading: 0.0166 s/iter. Inference: 0.0566 s/iter. Eval: 0.0002 s/iter. Total: 0.0736 s/iter. ETA=0:00:24 +[04/11 10:55:52] d2.evaluation.evaluator INFO: Inference done 150/410. Dataloading: 0.0174 s/iter. Inference: 0.0547 s/iter. Eval: 0.0002 s/iter. Total: 0.0725 s/iter. ETA=0:00:18 +[04/11 10:55:57] d2.evaluation.evaluator INFO: Inference done 224/410. Dataloading: 0.0160 s/iter. Inference: 0.0547 s/iter. Eval: 0.0002 s/iter. Total: 0.0710 s/iter. ETA=0:00:13 +[04/11 10:56:02] d2.evaluation.evaluator INFO: Inference done 301/410. Dataloading: 0.0143 s/iter. Inference: 0.0548 s/iter. Eval: 0.0002 s/iter. Total: 0.0695 s/iter. ETA=0:00:07 +[04/11 10:56:07] d2.evaluation.evaluator INFO: Inference done 375/410. Dataloading: 0.0141 s/iter. Inference: 0.0547 s/iter. Eval: 0.0002 s/iter. Total: 0.0692 s/iter. ETA=0:00:02 +[04/11 10:56:09] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.787758 (0.068612 s / iter per device, on 1 devices) +[04/11 10:56:09] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.054643 s / iter per device, on 1 devices) +[04/11 10:56:09] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 10:56:09] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 10:56:09] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 10:56:09] d2.evaluation.testing INFO: copypaste: 8.1272,23.2813,2.7670 +[04/11 10:56:09] d2.data.common INFO: Serializing the dataset using: +[04/11 10:56:09] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 10:56:09] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 10:56:09] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 10:56:09] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 10:56:12] d2.evaluation.evaluator INFO: Inference done 34/410. Dataloading: 0.0113 s/iter. Inference: 0.0557 s/iter. Eval: 0.0002 s/iter. Total: 0.0672 s/iter. ETA=0:00:25 +[04/11 10:56:17] d2.evaluation.evaluator INFO: Inference done 105/410. Dataloading: 0.0126 s/iter. Inference: 0.0568 s/iter. Eval: 0.0002 s/iter. Total: 0.0698 s/iter. ETA=0:00:21 +[04/11 10:56:22] d2.evaluation.evaluator INFO: Inference done 177/410. Dataloading: 0.0129 s/iter. Inference: 0.0568 s/iter. Eval: 0.0002 s/iter. Total: 0.0700 s/iter. ETA=0:00:16 +[04/11 10:56:27] d2.evaluation.evaluator INFO: Inference done 254/410. Dataloading: 0.0119 s/iter. Inference: 0.0562 s/iter. Eval: 0.0003 s/iter. Total: 0.0685 s/iter. ETA=0:00:10 +[04/11 10:56:32] d2.evaluation.evaluator INFO: Inference done 332/410. Dataloading: 0.0114 s/iter. Inference: 0.0558 s/iter. Eval: 0.0003 s/iter. Total: 0.0676 s/iter. ETA=0:00:05 +[04/11 10:56:37] d2.evaluation.evaluator INFO: Inference done 407/410. Dataloading: 0.0108 s/iter. Inference: 0.0562 s/iter. Eval: 0.0003 s/iter. Total: 0.0674 s/iter. ETA=0:00:00 +[04/11 10:56:37] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.334002 (0.067491 s / iter per device, on 1 devices) +[04/11 10:56:37] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.056134 s / iter per device, on 1 devices) +[04/11 10:56:37] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 10:56:37] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 10:56:37] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 10:56:37] d2.evaluation.testing INFO: copypaste: 1.9512,6.2772,1.5572 +[04/11 10:56:37] d2.utils.events INFO: eta: 0:48:59 iter: 47999 total_loss: 1.712 loss_cls: 0.005483 loss_box_reg: 0.01392 loss_rpn_cls: 0.02546 loss_rpn_loc: 0.0012 loss_D_img_s: 0.6555 loss_cls_pseudo: 0.0009526 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3679 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7035 time: 1.5824 last_time: 1.6076 data_time: 0.0078 last_data_time: 0.0089 lr: 0.02 max_mem: 14768M +[04/11 10:57:07] d2.utils.events INFO: eta: 0:48:31 iter: 48019 total_loss: 1.811 loss_cls: 0.006297 loss_box_reg: 0.01457 loss_rpn_cls: 0.01681 loss_rpn_loc: 0.001249 loss_D_img_s: 0.7112 loss_cls_pseudo: 0.0008054 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4114 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6536 time: 1.5823 last_time: 1.4617 data_time: 0.0086 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 10:57:36] d2.utils.events INFO: eta: 0:48:00 iter: 48039 total_loss: 1.774 loss_cls: 0.005527 loss_box_reg: 0.01397 loss_rpn_cls: 0.01469 loss_rpn_loc: 0.001136 loss_D_img_s: 0.6452 loss_cls_pseudo: 0.0007745 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2773 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7587 time: 1.5822 last_time: 1.3998 data_time: 0.0083 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 10:58:05] d2.utils.events INFO: eta: 0:47:31 iter: 48059 total_loss: 1.776 loss_cls: 0.006555 loss_box_reg: 0.01279 loss_rpn_cls: 0.01128 loss_rpn_loc: 0.00131 loss_D_img_s: 0.6888 loss_cls_pseudo: 0.0005857 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.397 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7078 time: 1.5821 last_time: 1.5329 data_time: 0.0084 last_data_time: 0.0089 lr: 0.02 max_mem: 14768M +[04/11 10:58:35] d2.utils.events INFO: eta: 0:47:01 iter: 48079 total_loss: 1.718 loss_cls: 0.007805 loss_box_reg: 0.01275 loss_rpn_cls: 0.03016 loss_rpn_loc: 0.001425 loss_D_img_s: 0.6543 loss_cls_pseudo: 0.0007374 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.336 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7477 time: 1.5820 last_time: 1.4071 data_time: 0.0086 last_data_time: 0.0070 lr: 0.02 max_mem: 14768M +[04/11 10:59:05] d2.utils.events INFO: eta: 0:46:33 iter: 48099 total_loss: 1.833 loss_cls: 0.0101 loss_box_reg: 0.01744 loss_rpn_cls: 0.01475 loss_rpn_loc: 0.001221 loss_D_img_s: 0.6042 loss_cls_pseudo: 0.001072 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.466 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.736 time: 1.5819 last_time: 1.4947 data_time: 0.0087 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 10:59:35] d2.utils.events INFO: eta: 0:46:05 iter: 48119 total_loss: 1.749 loss_cls: 0.005851 loss_box_reg: 0.01683 loss_rpn_cls: 0.01027 loss_rpn_loc: 0.001308 loss_D_img_s: 0.6639 loss_cls_pseudo: 0.0005413 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3083 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.757 time: 1.5819 last_time: 1.4529 data_time: 0.0073 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 11:00:05] d2.utils.events INFO: eta: 0:45:35 iter: 48139 total_loss: 1.728 loss_cls: 0.01044 loss_box_reg: 0.01512 loss_rpn_cls: 0.04999 loss_rpn_loc: 0.001443 loss_D_img_s: 0.6933 loss_cls_pseudo: 0.0007435 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2285 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6431 time: 1.5818 last_time: 1.3896 data_time: 0.0083 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 11:00:34] d2.utils.events INFO: eta: 0:45:07 iter: 48159 total_loss: 1.832 loss_cls: 0.007931 loss_box_reg: 0.01878 loss_rpn_cls: 0.06389 loss_rpn_loc: 0.001039 loss_D_img_s: 0.6649 loss_cls_pseudo: 0.00113 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3371 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7245 time: 1.5817 last_time: 1.3951 data_time: 0.0087 last_data_time: 0.0110 lr: 0.02 max_mem: 14768M +[04/11 11:01:04] d2.utils.events INFO: eta: 0:44:37 iter: 48179 total_loss: 1.61 loss_cls: 0.007697 loss_box_reg: 0.01751 loss_rpn_cls: 0.006144 loss_rpn_loc: 0.001357 loss_D_img_s: 0.6256 loss_cls_pseudo: 0.001025 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1473 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7306 time: 1.5816 last_time: 1.4170 data_time: 0.0079 last_data_time: 0.0062 lr: 0.02 max_mem: 14768M +[04/11 11:01:34] d2.utils.events INFO: eta: 0:44:08 iter: 48199 total_loss: 1.582 loss_cls: 0.01118 loss_box_reg: 0.0194 loss_rpn_cls: 0.02051 loss_rpn_loc: 0.00125 loss_D_img_s: 0.6708 loss_cls_pseudo: 0.001282 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1375 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6948 time: 1.5815 last_time: 1.5088 data_time: 0.0081 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 11:02:03] d2.utils.events INFO: eta: 0:43:38 iter: 48219 total_loss: 1.949 loss_cls: 0.007979 loss_box_reg: 0.01733 loss_rpn_cls: 0.03542 loss_rpn_loc: 0.0009775 loss_D_img_s: 0.6879 loss_cls_pseudo: 0.00159 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1684 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7258 time: 1.5814 last_time: 1.5064 data_time: 0.0080 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 11:02:33] d2.utils.events INFO: eta: 0:43:09 iter: 48239 total_loss: 1.832 loss_cls: 0.009203 loss_box_reg: 0.01949 loss_rpn_cls: 0.01616 loss_rpn_loc: 0.001385 loss_D_img_s: 0.6607 loss_cls_pseudo: 0.0007642 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4981 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7391 time: 1.5814 last_time: 1.4737 data_time: 0.0081 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 11:03:04] d2.utils.events INFO: eta: 0:42:41 iter: 48259 total_loss: 1.848 loss_cls: 0.01172 loss_box_reg: 0.01643 loss_rpn_cls: 0.02903 loss_rpn_loc: 0.001181 loss_D_img_s: 0.6714 loss_cls_pseudo: 0.001093 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4613 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6551 time: 1.5813 last_time: 1.5771 data_time: 0.0079 last_data_time: 0.0118 lr: 0.02 max_mem: 14768M +[04/11 11:03:33] d2.utils.events INFO: eta: 0:42:11 iter: 48279 total_loss: 1.808 loss_cls: 0.009022 loss_box_reg: 0.0162 loss_rpn_cls: 0.03065 loss_rpn_loc: 0.001088 loss_D_img_s: 0.6525 loss_cls_pseudo: 0.0009767 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4503 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7374 time: 1.5812 last_time: 2.0582 data_time: 0.0077 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 11:04:04] d2.utils.events INFO: eta: 0:41:42 iter: 48299 total_loss: 1.786 loss_cls: 0.009379 loss_box_reg: 0.0158 loss_rpn_cls: 0.01468 loss_rpn_loc: 0.0008874 loss_D_img_s: 0.6464 loss_cls_pseudo: 0.001328 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4554 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7155 time: 1.5812 last_time: 1.4692 data_time: 0.0080 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 11:04:33] d2.utils.events INFO: eta: 0:41:14 iter: 48319 total_loss: 1.71 loss_cls: 0.007671 loss_box_reg: 0.01376 loss_rpn_cls: 0.03711 loss_rpn_loc: 0.001087 loss_D_img_s: 0.6926 loss_cls_pseudo: 0.001123 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3709 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6649 time: 1.5811 last_time: 1.4236 data_time: 0.0081 last_data_time: 0.0111 lr: 0.02 max_mem: 14768M +[04/11 11:05:03] d2.utils.events INFO: eta: 0:40:44 iter: 48339 total_loss: 1.601 loss_cls: 0.006742 loss_box_reg: 0.01671 loss_rpn_cls: 0.00567 loss_rpn_loc: 0.001176 loss_D_img_s: 0.6611 loss_cls_pseudo: 0.001137 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.176 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7087 time: 1.5810 last_time: 1.4489 data_time: 0.0080 last_data_time: 0.0100 lr: 0.02 max_mem: 14768M +[04/11 11:05:33] d2.utils.events INFO: eta: 0:40:16 iter: 48359 total_loss: 1.797 loss_cls: 0.006353 loss_box_reg: 0.01455 loss_rpn_cls: 0.02374 loss_rpn_loc: 0.001429 loss_D_img_s: 0.7776 loss_cls_pseudo: 0.0006073 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1989 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6215 time: 1.5809 last_time: 1.6101 data_time: 0.0082 last_data_time: 0.0096 lr: 0.02 max_mem: 14768M +[04/11 11:06:02] d2.utils.events INFO: eta: 0:39:46 iter: 48379 total_loss: 1.858 loss_cls: 0.005442 loss_box_reg: 0.01485 loss_rpn_cls: 0.02355 loss_rpn_loc: 0.001299 loss_D_img_s: 0.572 loss_cls_pseudo: 0.0009424 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4066 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.8072 time: 1.5808 last_time: 1.4204 data_time: 0.0077 last_data_time: 0.0061 lr: 0.02 max_mem: 14768M +[04/11 11:06:32] d2.utils.events INFO: eta: 0:39:16 iter: 48399 total_loss: 1.853 loss_cls: 0.005696 loss_box_reg: 0.01395 loss_rpn_cls: 0.02131 loss_rpn_loc: 0.000977 loss_D_img_s: 0.6753 loss_cls_pseudo: 0.0007615 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4637 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6728 time: 1.5808 last_time: 1.6494 data_time: 0.0082 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 11:07:01] d2.utils.events INFO: eta: 0:38:45 iter: 48419 total_loss: 1.777 loss_cls: 0.004017 loss_box_reg: 0.0143 loss_rpn_cls: 0.01757 loss_rpn_loc: 0.001064 loss_D_img_s: 0.6829 loss_cls_pseudo: 0.0004437 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.369 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6185 time: 1.5807 last_time: 1.5353 data_time: 0.0078 last_data_time: 0.0069 lr: 0.02 max_mem: 14768M +[04/11 11:07:31] d2.utils.events INFO: eta: 0:38:16 iter: 48439 total_loss: 2.004 loss_cls: 0.008339 loss_box_reg: 0.01698 loss_rpn_cls: 0.01685 loss_rpn_loc: 0.001256 loss_D_img_s: 0.7233 loss_cls_pseudo: 0.0006652 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4897 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7106 time: 1.5806 last_time: 1.5440 data_time: 0.0078 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 11:08:01] d2.utils.events INFO: eta: 0:37:48 iter: 48459 total_loss: 1.784 loss_cls: 0.006985 loss_box_reg: 0.01874 loss_rpn_cls: 0.01801 loss_rpn_loc: 0.001276 loss_D_img_s: 0.6466 loss_cls_pseudo: 0.001335 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2534 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7489 time: 1.5805 last_time: 1.4058 data_time: 0.0079 last_data_time: 0.0085 lr: 0.02 max_mem: 14768M +[04/11 11:08:30] d2.utils.events INFO: eta: 0:37:19 iter: 48479 total_loss: 1.962 loss_cls: 0.005849 loss_box_reg: 0.01425 loss_rpn_cls: 0.02118 loss_rpn_loc: 0.001384 loss_D_img_s: 0.6926 loss_cls_pseudo: 0.0007122 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4431 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.684 time: 1.5804 last_time: 1.5428 data_time: 0.0078 last_data_time: 0.0092 lr: 0.02 max_mem: 14768M +[04/11 11:09:00] d2.utils.events INFO: eta: 0:36:49 iter: 48499 total_loss: 1.893 loss_cls: 0.006459 loss_box_reg: 0.01578 loss_rpn_cls: 0.01342 loss_rpn_loc: 0.001158 loss_D_img_s: 0.6828 loss_cls_pseudo: 0.00201 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.471 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7025 time: 1.5803 last_time: 1.6223 data_time: 0.0087 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 11:09:29] d2.utils.events INFO: eta: 0:36:18 iter: 48519 total_loss: 1.631 loss_cls: 0.007363 loss_box_reg: 0.01563 loss_rpn_cls: 0.00714 loss_rpn_loc: 0.001334 loss_D_img_s: 0.6696 loss_cls_pseudo: 0.002584 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1891 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6998 time: 1.5802 last_time: 1.4728 data_time: 0.0085 last_data_time: 0.0080 lr: 0.02 max_mem: 14768M +[04/11 11:09:58] d2.utils.events INFO: eta: 0:35:47 iter: 48539 total_loss: 1.885 loss_cls: 0.01094 loss_box_reg: 0.01924 loss_rpn_cls: 0.02404 loss_rpn_loc: 0.0009931 loss_D_img_s: 0.6726 loss_cls_pseudo: 0.0007687 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4405 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6972 time: 1.5801 last_time: 1.4018 data_time: 0.0077 last_data_time: 0.0088 lr: 0.02 max_mem: 14768M +[04/11 11:10:27] d2.utils.events INFO: eta: 0:35:19 iter: 48559 total_loss: 1.751 loss_cls: 0.007393 loss_box_reg: 0.01143 loss_rpn_cls: 0.01496 loss_rpn_loc: 0.00116 loss_D_img_s: 0.6818 loss_cls_pseudo: 0.0004238 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4237 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6707 time: 1.5800 last_time: 1.4795 data_time: 0.0078 last_data_time: 0.0091 lr: 0.02 max_mem: 14768M +[04/11 11:10:56] d2.utils.events INFO: eta: 0:34:49 iter: 48579 total_loss: 1.703 loss_cls: 0.007051 loss_box_reg: 0.01511 loss_rpn_cls: 0.04863 loss_rpn_loc: 0.001299 loss_D_img_s: 0.7275 loss_cls_pseudo: 0.0006078 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1606 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6779 time: 1.5799 last_time: 1.4791 data_time: 0.0080 last_data_time: 0.0098 lr: 0.02 max_mem: 14768M +[04/11 11:11:26] d2.utils.events INFO: eta: 0:34:18 iter: 48599 total_loss: 1.746 loss_cls: 0.00812 loss_box_reg: 0.01891 loss_rpn_cls: 0.02235 loss_rpn_loc: 0.001182 loss_D_img_s: 0.6856 loss_cls_pseudo: 0.001095 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2225 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6818 time: 1.5798 last_time: 1.3761 data_time: 0.0075 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 11:11:55] d2.utils.events INFO: eta: 0:33:49 iter: 48619 total_loss: 1.942 loss_cls: 0.0102 loss_box_reg: 0.01614 loss_rpn_cls: 0.03925 loss_rpn_loc: 0.001213 loss_D_img_s: 0.7267 loss_cls_pseudo: 0.001048 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4649 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6631 time: 1.5797 last_time: 1.5548 data_time: 0.0082 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 11:12:24] d2.utils.events INFO: eta: 0:33:18 iter: 48639 total_loss: 1.869 loss_cls: 0.008785 loss_box_reg: 0.0158 loss_rpn_cls: 0.01914 loss_rpn_loc: 0.001419 loss_D_img_s: 0.7017 loss_cls_pseudo: 0.000521 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4355 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6724 time: 1.5796 last_time: 1.4081 data_time: 0.0078 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 11:12:53] d2.utils.events INFO: eta: 0:32:51 iter: 48659 total_loss: 1.884 loss_cls: 0.006931 loss_box_reg: 0.01339 loss_rpn_cls: 0.03602 loss_rpn_loc: 0.001267 loss_D_img_s: 0.7064 loss_cls_pseudo: 0.0005926 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4776 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6715 time: 1.5795 last_time: 1.5112 data_time: 0.0086 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 11:13:23] d2.utils.events INFO: eta: 0:32:22 iter: 48679 total_loss: 1.876 loss_cls: 0.005304 loss_box_reg: 0.01453 loss_rpn_cls: 0.01405 loss_rpn_loc: 0.001232 loss_D_img_s: 0.694 loss_cls_pseudo: 0.0007731 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2614 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6883 time: 1.5794 last_time: 1.4600 data_time: 0.0083 last_data_time: 0.0108 lr: 0.02 max_mem: 14768M +[04/11 11:13:53] d2.utils.events INFO: eta: 0:31:52 iter: 48699 total_loss: 1.805 loss_cls: 0.007085 loss_box_reg: 0.01477 loss_rpn_cls: 0.03539 loss_rpn_loc: 0.001033 loss_D_img_s: 0.6977 loss_cls_pseudo: 0.001121 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3784 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6599 time: 1.5794 last_time: 1.4146 data_time: 0.0087 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 11:14:23] d2.utils.events INFO: eta: 0:31:23 iter: 48719 total_loss: 1.777 loss_cls: 0.006073 loss_box_reg: 0.01683 loss_rpn_cls: 0.03249 loss_rpn_loc: 0.00111 loss_D_img_s: 0.6767 loss_cls_pseudo: 0.0009201 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2776 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7066 time: 1.5793 last_time: 1.4583 data_time: 0.0089 last_data_time: 0.0137 lr: 0.02 max_mem: 14768M +[04/11 11:14:54] d2.utils.events INFO: eta: 0:30:53 iter: 48739 total_loss: 1.823 loss_cls: 0.00625 loss_box_reg: 0.01482 loss_rpn_cls: 0.01689 loss_rpn_loc: 0.001098 loss_D_img_s: 0.6812 loss_cls_pseudo: 0.002074 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4557 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6878 time: 1.5792 last_time: 1.7339 data_time: 0.0079 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 11:15:23] d2.utils.events INFO: eta: 0:30:23 iter: 48759 total_loss: 1.863 loss_cls: 0.008038 loss_box_reg: 0.01439 loss_rpn_cls: 0.01815 loss_rpn_loc: 0.001202 loss_D_img_s: 0.7116 loss_cls_pseudo: 0.0008434 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.429 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6753 time: 1.5791 last_time: 1.4246 data_time: 0.0077 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 11:15:53] d2.utils.events INFO: eta: 0:29:55 iter: 48779 total_loss: 1.929 loss_cls: 0.006248 loss_box_reg: 0.01423 loss_rpn_cls: 0.007075 loss_rpn_loc: 0.001201 loss_D_img_s: 0.669 loss_cls_pseudo: 0.0008459 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4774 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7095 time: 1.5791 last_time: 1.3734 data_time: 0.0082 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 11:16:22] d2.utils.events INFO: eta: 0:29:25 iter: 48799 total_loss: 1.714 loss_cls: 0.009067 loss_box_reg: 0.01461 loss_rpn_cls: 0.008469 loss_rpn_loc: 0.001107 loss_D_img_s: 0.6991 loss_cls_pseudo: 0.0007273 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2594 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6924 time: 1.5790 last_time: 1.3907 data_time: 0.0080 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 11:16:52] d2.utils.events INFO: eta: 0:28:55 iter: 48819 total_loss: 1.777 loss_cls: 0.007143 loss_box_reg: 0.01623 loss_rpn_cls: 0.007045 loss_rpn_loc: 0.001277 loss_D_img_s: 0.6774 loss_cls_pseudo: 0.001503 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4057 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6933 time: 1.5789 last_time: 1.4457 data_time: 0.0077 last_data_time: 0.0068 lr: 0.02 max_mem: 14768M +[04/11 11:17:21] d2.utils.events INFO: eta: 0:28:26 iter: 48839 total_loss: 1.737 loss_cls: 0.006571 loss_box_reg: 0.01633 loss_rpn_cls: 0.0153 loss_rpn_loc: 0.0009718 loss_D_img_s: 0.7181 loss_cls_pseudo: 0.001295 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2067 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6662 time: 1.5788 last_time: 1.4289 data_time: 0.0082 last_data_time: 0.0103 lr: 0.02 max_mem: 14768M +[04/11 11:17:51] d2.utils.events INFO: eta: 0:27:54 iter: 48859 total_loss: 1.828 loss_cls: 0.006959 loss_box_reg: 0.01351 loss_rpn_cls: 0.01649 loss_rpn_loc: 0.001183 loss_D_img_s: 0.6827 loss_cls_pseudo: 0.001079 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.464 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6791 time: 1.5787 last_time: 1.4651 data_time: 0.0078 last_data_time: 0.0085 lr: 0.02 max_mem: 14768M +[04/11 11:18:20] d2.utils.events INFO: eta: 0:27:24 iter: 48879 total_loss: 1.753 loss_cls: 0.006906 loss_box_reg: 0.01343 loss_rpn_cls: 0.01032 loss_rpn_loc: 0.001318 loss_D_img_s: 0.7102 loss_cls_pseudo: 0.0005623 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3094 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6815 time: 1.5786 last_time: 1.6108 data_time: 0.0076 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 11:18:49] d2.utils.events INFO: eta: 0:26:54 iter: 48899 total_loss: 1.758 loss_cls: 0.0084 loss_box_reg: 0.0153 loss_rpn_cls: 0.01793 loss_rpn_loc: 0.001217 loss_D_img_s: 0.7039 loss_cls_pseudo: 0.001779 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3224 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6907 time: 1.5785 last_time: 1.5574 data_time: 0.0079 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 11:19:19] d2.utils.events INFO: eta: 0:26:25 iter: 48919 total_loss: 1.937 loss_cls: 0.007951 loss_box_reg: 0.01501 loss_rpn_cls: 0.03784 loss_rpn_loc: 0.001399 loss_D_img_s: 0.7015 loss_cls_pseudo: 0.002344 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4897 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6741 time: 1.5785 last_time: 1.5460 data_time: 0.0082 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 11:19:49] d2.utils.events INFO: eta: 0:25:56 iter: 48939 total_loss: 1.677 loss_cls: 0.007991 loss_box_reg: 0.01788 loss_rpn_cls: 0.01226 loss_rpn_loc: 0.0009204 loss_D_img_s: 0.667 loss_cls_pseudo: 0.0003616 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2468 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6669 time: 1.5784 last_time: 1.7251 data_time: 0.0083 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 11:20:18] d2.utils.events INFO: eta: 0:25:27 iter: 48959 total_loss: 1.769 loss_cls: 0.005832 loss_box_reg: 0.01286 loss_rpn_cls: 0.02989 loss_rpn_loc: 0.00113 loss_D_img_s: 0.6427 loss_cls_pseudo: 0.0004382 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4399 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6876 time: 1.5783 last_time: 1.4040 data_time: 0.0076 last_data_time: 0.0083 lr: 0.02 max_mem: 14768M +[04/11 11:20:48] d2.utils.events INFO: eta: 0:24:59 iter: 48979 total_loss: 1.773 loss_cls: 0.00857 loss_box_reg: 0.01731 loss_rpn_cls: 0.01181 loss_rpn_loc: 0.001319 loss_D_img_s: 0.6678 loss_cls_pseudo: 0.0005119 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1362 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.707 time: 1.5782 last_time: 1.4783 data_time: 0.0080 last_data_time: 0.0071 lr: 0.02 max_mem: 14768M +[04/11 11:21:18] d2.data.common INFO: Serializing the dataset using: +[04/11 11:21:18] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 11:21:18] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 11:21:18] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 11:21:18] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 11:21:19] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0123 s/iter. Inference: 0.0499 s/iter. Eval: 0.0002 s/iter. Total: 0.0624 s/iter. ETA=0:00:24 +[04/11 11:21:24] d2.evaluation.evaluator INFO: Inference done 81/410. Dataloading: 0.0167 s/iter. Inference: 0.0540 s/iter. Eval: 0.0002 s/iter. Total: 0.0710 s/iter. ETA=0:00:23 +[04/11 11:21:29] d2.evaluation.evaluator INFO: Inference done 151/410. Dataloading: 0.0161 s/iter. Inference: 0.0550 s/iter. Eval: 0.0002 s/iter. Total: 0.0714 s/iter. ETA=0:00:18 +[04/11 11:21:34] d2.evaluation.evaluator INFO: Inference done 225/410. Dataloading: 0.0144 s/iter. Inference: 0.0554 s/iter. Eval: 0.0002 s/iter. Total: 0.0701 s/iter. ETA=0:00:12 +[04/11 11:21:39] d2.evaluation.evaluator INFO: Inference done 304/410. Dataloading: 0.0133 s/iter. Inference: 0.0550 s/iter. Eval: 0.0002 s/iter. Total: 0.0686 s/iter. ETA=0:00:07 +[04/11 11:21:44] d2.evaluation.evaluator INFO: Inference done 383/410. Dataloading: 0.0123 s/iter. Inference: 0.0549 s/iter. Eval: 0.0002 s/iter. Total: 0.0676 s/iter. ETA=0:00:01 +[04/11 11:21:46] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.306709 (0.067424 s / iter per device, on 1 devices) +[04/11 11:21:46] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.054824 s / iter per device, on 1 devices) +[04/11 11:21:46] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 11:21:46] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 11:21:46] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 11:21:46] d2.evaluation.testing INFO: copypaste: 11.3282,29.6001,5.5883 +[04/11 11:21:46] d2.data.common INFO: Serializing the dataset using: +[04/11 11:21:46] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 11:21:46] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 11:21:46] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 11:21:46] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 11:21:49] d2.evaluation.evaluator INFO: Inference done 36/410. Dataloading: 0.0239 s/iter. Inference: 0.0525 s/iter. Eval: 0.0002 s/iter. Total: 0.0766 s/iter. ETA=0:00:28 +[04/11 11:21:54] d2.evaluation.evaluator INFO: Inference done 107/410. Dataloading: 0.0181 s/iter. Inference: 0.0542 s/iter. Eval: 0.0002 s/iter. Total: 0.0726 s/iter. ETA=0:00:22 +[04/11 11:21:59] d2.evaluation.evaluator INFO: Inference done 180/410. Dataloading: 0.0169 s/iter. Inference: 0.0541 s/iter. Eval: 0.0002 s/iter. Total: 0.0713 s/iter. ETA=0:00:16 +[04/11 11:22:04] d2.evaluation.evaluator INFO: Inference done 260/410. Dataloading: 0.0138 s/iter. Inference: 0.0547 s/iter. Eval: 0.0003 s/iter. Total: 0.0688 s/iter. ETA=0:00:10 +[04/11 11:22:10] d2.evaluation.evaluator INFO: Inference done 332/410. Dataloading: 0.0140 s/iter. Inference: 0.0547 s/iter. Eval: 0.0002 s/iter. Total: 0.0690 s/iter. ETA=0:00:05 +[04/11 11:22:14] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.529452 (0.067974 s / iter per device, on 1 devices) +[04/11 11:22:14] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:22 (0.055054 s / iter per device, on 1 devices) +[04/11 11:22:15] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 11:22:15] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 11:22:15] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 11:22:15] d2.evaluation.testing INFO: copypaste: 1.6090,5.4567,1.3274 +[04/11 11:22:15] d2.utils.events INFO: eta: 0:24:31 iter: 48999 total_loss: 1.993 loss_cls: 0.0121 loss_box_reg: 0.01586 loss_rpn_cls: 0.0263 loss_rpn_loc: 0.001263 loss_D_img_s: 0.7564 loss_cls_pseudo: 0.001408 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4993 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6289 time: 1.5781 last_time: 1.5952 data_time: 0.0081 last_data_time: 0.0060 lr: 0.02 max_mem: 14768M +[04/11 11:22:44] d2.utils.events INFO: eta: 0:24:01 iter: 49019 total_loss: 1.737 loss_cls: 0.006213 loss_box_reg: 0.01793 loss_rpn_cls: 0.01035 loss_rpn_loc: 0.001191 loss_D_img_s: 0.6571 loss_cls_pseudo: 0.001389 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3902 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7102 time: 1.5780 last_time: 1.3848 data_time: 0.0084 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 11:23:13] d2.utils.events INFO: eta: 0:23:30 iter: 49039 total_loss: 1.94 loss_cls: 0.006837 loss_box_reg: 0.01542 loss_rpn_cls: 0.01131 loss_rpn_loc: 0.001267 loss_D_img_s: 0.6993 loss_cls_pseudo: 0.0007076 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2669 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6915 time: 1.5779 last_time: 1.4310 data_time: 0.0079 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 11:23:42] d2.utils.events INFO: eta: 0:23:01 iter: 49059 total_loss: 1.836 loss_cls: 0.005315 loss_box_reg: 0.01457 loss_rpn_cls: 0.03595 loss_rpn_loc: 0.0009514 loss_D_img_s: 0.7067 loss_cls_pseudo: 0.0006429 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3295 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6707 time: 1.5778 last_time: 1.5977 data_time: 0.0078 last_data_time: 0.0095 lr: 0.02 max_mem: 14768M +[04/11 11:24:13] d2.utils.events INFO: eta: 0:22:33 iter: 49079 total_loss: 1.718 loss_cls: 0.007732 loss_box_reg: 0.01786 loss_rpn_cls: 0.02887 loss_rpn_loc: 0.001096 loss_D_img_s: 0.679 loss_cls_pseudo: 0.001117 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1915 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6978 time: 1.5778 last_time: 1.4279 data_time: 0.0084 last_data_time: 0.0073 lr: 0.02 max_mem: 14768M +[04/11 11:24:42] d2.utils.events INFO: eta: 0:22:03 iter: 49099 total_loss: 1.849 loss_cls: 0.007161 loss_box_reg: 0.01902 loss_rpn_cls: 0.01357 loss_rpn_loc: 0.001124 loss_D_img_s: 0.6924 loss_cls_pseudo: 0.001195 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4553 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6715 time: 1.5777 last_time: 1.4941 data_time: 0.0084 last_data_time: 0.0076 lr: 0.02 max_mem: 14768M +[04/11 11:25:12] d2.utils.events INFO: eta: 0:21:34 iter: 49119 total_loss: 1.966 loss_cls: 0.01232 loss_box_reg: 0.01808 loss_rpn_cls: 0.04513 loss_rpn_loc: 0.001163 loss_D_img_s: 0.7167 loss_cls_pseudo: 0.001468 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3799 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6301 time: 1.5776 last_time: 1.5380 data_time: 0.0082 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 11:25:42] d2.utils.events INFO: eta: 0:21:03 iter: 49139 total_loss: 1.866 loss_cls: 0.006929 loss_box_reg: 0.01451 loss_rpn_cls: 0.04279 loss_rpn_loc: 0.001234 loss_D_img_s: 0.6767 loss_cls_pseudo: 0.0008535 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4757 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6723 time: 1.5776 last_time: 1.6386 data_time: 0.0083 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 11:26:11] d2.utils.events INFO: eta: 0:20:34 iter: 49159 total_loss: 1.866 loss_cls: 0.01182 loss_box_reg: 0.01648 loss_rpn_cls: 0.0297 loss_rpn_loc: 0.0009904 loss_D_img_s: 0.6673 loss_cls_pseudo: 0.002709 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.336 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7118 time: 1.5775 last_time: 1.8994 data_time: 0.0087 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 11:26:41] d2.utils.events INFO: eta: 0:20:05 iter: 49179 total_loss: 1.816 loss_cls: 0.009932 loss_box_reg: 0.01765 loss_rpn_cls: 0.01554 loss_rpn_loc: 0.00106 loss_D_img_s: 0.6489 loss_cls_pseudo: 0.000789 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4551 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7152 time: 1.5774 last_time: 1.5246 data_time: 0.0078 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 11:27:11] d2.utils.events INFO: eta: 0:19:36 iter: 49199 total_loss: 1.689 loss_cls: 0.006329 loss_box_reg: 0.01649 loss_rpn_cls: 0.01234 loss_rpn_loc: 0.0009889 loss_D_img_s: 0.6425 loss_cls_pseudo: 0.0005313 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.374 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7278 time: 1.5773 last_time: 1.3298 data_time: 0.0079 last_data_time: 0.0093 lr: 0.02 max_mem: 14768M +[04/11 11:27:40] d2.utils.events INFO: eta: 0:19:07 iter: 49219 total_loss: 1.997 loss_cls: 0.00601 loss_box_reg: 0.01376 loss_rpn_cls: 0.06383 loss_rpn_loc: 0.00115 loss_D_img_s: 0.8119 loss_cls_pseudo: 0.0003261 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4545 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.5672 time: 1.5772 last_time: 1.5848 data_time: 0.0081 last_data_time: 0.0079 lr: 0.02 max_mem: 14768M +[04/11 11:28:10] d2.utils.events INFO: eta: 0:18:38 iter: 49239 total_loss: 1.862 loss_cls: 0.008532 loss_box_reg: 0.01316 loss_rpn_cls: 0.06721 loss_rpn_loc: 0.001466 loss_D_img_s: 0.6235 loss_cls_pseudo: 0.001328 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3521 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7267 time: 1.5772 last_time: 1.4774 data_time: 0.0075 last_data_time: 0.0065 lr: 0.02 max_mem: 14768M +[04/11 11:28:41] d2.utils.events INFO: eta: 0:18:08 iter: 49259 total_loss: 1.829 loss_cls: 0.008045 loss_box_reg: 0.0159 loss_rpn_cls: 0.02079 loss_rpn_loc: 0.001474 loss_D_img_s: 0.6484 loss_cls_pseudo: 0.001271 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4693 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7081 time: 1.5771 last_time: 1.5929 data_time: 0.0086 last_data_time: 0.0094 lr: 0.02 max_mem: 14768M +[04/11 11:29:11] d2.utils.events INFO: eta: 0:17:39 iter: 49279 total_loss: 1.855 loss_cls: 0.01107 loss_box_reg: 0.01633 loss_rpn_cls: 0.02771 loss_rpn_loc: 0.0009294 loss_D_img_s: 0.7356 loss_cls_pseudo: 0.001738 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3687 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6903 time: 1.5771 last_time: 1.3753 data_time: 0.0090 last_data_time: 0.0077 lr: 0.02 max_mem: 14768M +[04/11 11:29:40] d2.utils.events INFO: eta: 0:17:08 iter: 49299 total_loss: 1.78 loss_cls: 0.007236 loss_box_reg: 0.01482 loss_rpn_cls: 0.0243 loss_rpn_loc: 0.001231 loss_D_img_s: 0.666 loss_cls_pseudo: 0.001476 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3462 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7211 time: 1.5770 last_time: 1.4764 data_time: 0.0089 last_data_time: 0.0121 lr: 0.02 max_mem: 14768M +[04/11 11:30:10] d2.utils.events INFO: eta: 0:16:38 iter: 49319 total_loss: 1.838 loss_cls: 0.008245 loss_box_reg: 0.01621 loss_rpn_cls: 0.02869 loss_rpn_loc: 0.001075 loss_D_img_s: 0.6485 loss_cls_pseudo: 0.000632 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4727 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7154 time: 1.5769 last_time: 1.5153 data_time: 0.0077 last_data_time: 0.0113 lr: 0.02 max_mem: 14768M +[04/11 11:30:40] d2.utils.events INFO: eta: 0:16:09 iter: 49339 total_loss: 1.767 loss_cls: 0.01429 loss_box_reg: 0.01915 loss_rpn_cls: 0.0107 loss_rpn_loc: 0.001216 loss_D_img_s: 0.6997 loss_cls_pseudo: 0.001109 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3037 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6575 time: 1.5768 last_time: 1.6138 data_time: 0.0079 last_data_time: 0.0082 lr: 0.02 max_mem: 14768M +[04/11 11:31:09] d2.utils.events INFO: eta: 0:15:38 iter: 49359 total_loss: 1.87 loss_cls: 0.01178 loss_box_reg: 0.01723 loss_rpn_cls: 0.03492 loss_rpn_loc: 0.001555 loss_D_img_s: 0.7292 loss_cls_pseudo: 0.003579 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.508 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6167 time: 1.5767 last_time: 1.4872 data_time: 0.0080 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 11:31:39] d2.utils.events INFO: eta: 0:15:09 iter: 49379 total_loss: 1.872 loss_cls: 0.01146 loss_box_reg: 0.01895 loss_rpn_cls: 0.03942 loss_rpn_loc: 0.001302 loss_D_img_s: 0.6572 loss_cls_pseudo: 0.001313 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4567 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6943 time: 1.5767 last_time: 1.5755 data_time: 0.0081 last_data_time: 0.0128 lr: 0.02 max_mem: 14768M +[04/11 11:32:08] d2.utils.events INFO: eta: 0:14:40 iter: 49399 total_loss: 1.785 loss_cls: 0.00668 loss_box_reg: 0.01606 loss_rpn_cls: 0.02221 loss_rpn_loc: 0.001149 loss_D_img_s: 0.6198 loss_cls_pseudo: 0.001768 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4466 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7056 time: 1.5766 last_time: 1.4269 data_time: 0.0072 last_data_time: 0.0058 lr: 0.02 max_mem: 14768M +[04/11 11:32:38] d2.utils.events INFO: eta: 0:14:11 iter: 49419 total_loss: 1.798 loss_cls: 0.009169 loss_box_reg: 0.01844 loss_rpn_cls: 0.007424 loss_rpn_loc: 0.001056 loss_D_img_s: 0.6921 loss_cls_pseudo: 0.0007933 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3007 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7279 time: 1.5765 last_time: 1.5851 data_time: 0.0080 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 11:33:08] d2.utils.events INFO: eta: 0:13:42 iter: 49439 total_loss: 1.939 loss_cls: 0.005778 loss_box_reg: 0.01654 loss_rpn_cls: 0.04175 loss_rpn_loc: 0.001013 loss_D_img_s: 0.8025 loss_cls_pseudo: 0.0005818 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4253 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6096 time: 1.5764 last_time: 1.3864 data_time: 0.0079 last_data_time: 0.0081 lr: 0.02 max_mem: 14768M +[04/11 11:33:38] d2.utils.events INFO: eta: 0:13:13 iter: 49459 total_loss: 1.692 loss_cls: 0.005748 loss_box_reg: 0.01508 loss_rpn_cls: 0.01946 loss_rpn_loc: 0.001035 loss_D_img_s: 0.5863 loss_cls_pseudo: 0.0006466 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1265 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7443 time: 1.5764 last_time: 1.4981 data_time: 0.0084 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 11:34:08] d2.utils.events INFO: eta: 0:12:44 iter: 49479 total_loss: 1.859 loss_cls: 0.01035 loss_box_reg: 0.01975 loss_rpn_cls: 0.02292 loss_rpn_loc: 0.000964 loss_D_img_s: 0.7614 loss_cls_pseudo: 0.0005885 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4581 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6163 time: 1.5763 last_time: 1.4473 data_time: 0.0074 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 11:34:37] d2.utils.events INFO: eta: 0:12:14 iter: 49499 total_loss: 1.696 loss_cls: 0.009426 loss_box_reg: 0.01973 loss_rpn_cls: 0.01567 loss_rpn_loc: 0.001297 loss_D_img_s: 0.5755 loss_cls_pseudo: 0.0008747 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2251 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.759 time: 1.5762 last_time: 1.5024 data_time: 0.0071 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 11:35:06] d2.utils.events INFO: eta: 0:11:46 iter: 49519 total_loss: 1.797 loss_cls: 0.007326 loss_box_reg: 0.01611 loss_rpn_cls: 0.06341 loss_rpn_loc: 0.001087 loss_D_img_s: 0.6815 loss_cls_pseudo: 0.001346 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4611 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6163 time: 1.5761 last_time: 1.5298 data_time: 0.0080 last_data_time: 0.0078 lr: 0.02 max_mem: 14768M +[04/11 11:35:36] d2.utils.events INFO: eta: 0:11:16 iter: 49539 total_loss: 1.801 loss_cls: 0.004046 loss_box_reg: 0.01335 loss_rpn_cls: 0.08099 loss_rpn_loc: 0.0009112 loss_D_img_s: 0.5909 loss_cls_pseudo: 0.0004569 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4495 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6725 time: 1.5760 last_time: 1.5313 data_time: 0.0079 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 11:36:05] d2.utils.events INFO: eta: 0:10:46 iter: 49559 total_loss: 1.639 loss_cls: 0.003452 loss_box_reg: 0.01435 loss_rpn_cls: 0.03063 loss_rpn_loc: 0.000837 loss_D_img_s: 0.6561 loss_cls_pseudo: 0.0001812 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2632 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.5735 time: 1.5760 last_time: 1.3541 data_time: 0.0082 last_data_time: 0.0101 lr: 0.02 max_mem: 14768M +[04/11 11:36:35] d2.utils.events INFO: eta: 0:10:18 iter: 49579 total_loss: 1.856 loss_cls: 0.005242 loss_box_reg: 0.01212 loss_rpn_cls: 0.01622 loss_rpn_loc: 0.0008233 loss_D_img_s: 0.8648 loss_cls_pseudo: 0.0004645 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4671 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.5438 time: 1.5759 last_time: 1.5330 data_time: 0.0083 last_data_time: 0.0067 lr: 0.02 max_mem: 14768M +[04/11 11:37:05] d2.utils.events INFO: eta: 0:09:48 iter: 49599 total_loss: 1.665 loss_cls: 0.006745 loss_box_reg: 0.01316 loss_rpn_cls: 0.01222 loss_rpn_loc: 0.0011 loss_D_img_s: 0.7216 loss_cls_pseudo: 0.002547 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2069 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6605 time: 1.5758 last_time: 1.6544 data_time: 0.0073 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 11:37:34] d2.utils.events INFO: eta: 0:09:19 iter: 49619 total_loss: 1.733 loss_cls: 0.00639 loss_box_reg: 0.01357 loss_rpn_cls: 0.08497 loss_rpn_loc: 0.001312 loss_D_img_s: 0.7461 loss_cls_pseudo: 0.00165 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1846 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6577 time: 1.5757 last_time: 1.5214 data_time: 0.0077 last_data_time: 0.0101 lr: 0.02 max_mem: 14768M +[04/11 11:38:04] d2.utils.events INFO: eta: 0:08:50 iter: 49639 total_loss: 1.745 loss_cls: 0.004482 loss_box_reg: 0.01278 loss_rpn_cls: 0.01382 loss_rpn_loc: 0.001079 loss_D_img_s: 0.6901 loss_cls_pseudo: 0.001384 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4659 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6619 time: 1.5757 last_time: 1.5860 data_time: 0.0081 last_data_time: 0.0090 lr: 0.02 max_mem: 14768M +[04/11 11:38:34] d2.utils.events INFO: eta: 0:08:20 iter: 49659 total_loss: 1.74 loss_cls: 0.005233 loss_box_reg: 0.01226 loss_rpn_cls: 0.01807 loss_rpn_loc: 0.001007 loss_D_img_s: 0.7106 loss_cls_pseudo: 0.0005153 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3063 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6365 time: 1.5756 last_time: 1.5552 data_time: 0.0080 last_data_time: 0.0102 lr: 0.02 max_mem: 14768M +[04/11 11:39:04] d2.utils.events INFO: eta: 0:07:51 iter: 49679 total_loss: 1.838 loss_cls: 0.007296 loss_box_reg: 0.01301 loss_rpn_cls: 0.007913 loss_rpn_loc: 0.001151 loss_D_img_s: 0.7102 loss_cls_pseudo: 0.000812 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4369 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6917 time: 1.5755 last_time: 1.4184 data_time: 0.0077 last_data_time: 0.0064 lr: 0.02 max_mem: 14768M +[04/11 11:39:33] d2.utils.events INFO: eta: 0:07:21 iter: 49699 total_loss: 1.782 loss_cls: 0.006377 loss_box_reg: 0.01285 loss_rpn_cls: 0.03567 loss_rpn_loc: 0.001022 loss_D_img_s: 0.7068 loss_cls_pseudo: 0.0006407 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1506 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6745 time: 1.5754 last_time: 1.5594 data_time: 0.0072 last_data_time: 0.0072 lr: 0.02 max_mem: 14768M +[04/11 11:40:03] d2.utils.events INFO: eta: 0:06:52 iter: 49719 total_loss: 1.994 loss_cls: 0.00624 loss_box_reg: 0.01323 loss_rpn_cls: 0.04285 loss_rpn_loc: 0.0009774 loss_D_img_s: 0.7053 loss_cls_pseudo: 0.001929 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.5108 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6752 time: 1.5754 last_time: 1.5886 data_time: 0.0072 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 11:40:32] d2.utils.events INFO: eta: 0:06:22 iter: 49739 total_loss: 1.949 loss_cls: 0.006502 loss_box_reg: 0.01191 loss_rpn_cls: 0.02415 loss_rpn_loc: 0.001302 loss_D_img_s: 0.6811 loss_cls_pseudo: 0.0007448 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4499 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6961 time: 1.5753 last_time: 1.4742 data_time: 0.0079 last_data_time: 0.0096 lr: 0.02 max_mem: 14768M +[04/11 11:41:02] d2.utils.events INFO: eta: 0:05:53 iter: 49759 total_loss: 1.633 loss_cls: 0.005464 loss_box_reg: 0.01277 loss_rpn_cls: 0.02285 loss_rpn_loc: 0.001099 loss_D_img_s: 0.6625 loss_cls_pseudo: 0.001176 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1688 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7292 time: 1.5752 last_time: 1.4754 data_time: 0.0075 last_data_time: 0.0057 lr: 0.02 max_mem: 14768M +[04/11 11:41:33] d2.utils.events INFO: eta: 0:05:23 iter: 49779 total_loss: 1.898 loss_cls: 0.004504 loss_box_reg: 0.0126 loss_rpn_cls: 0.01478 loss_rpn_loc: 0.001085 loss_D_img_s: 0.6723 loss_cls_pseudo: 0.002172 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4799 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6933 time: 1.5752 last_time: 1.4066 data_time: 0.0079 last_data_time: 0.0066 lr: 0.02 max_mem: 14768M +[04/11 11:42:02] d2.utils.events INFO: eta: 0:04:54 iter: 49799 total_loss: 1.887 loss_cls: 0.008264 loss_box_reg: 0.01262 loss_rpn_cls: 0.07583 loss_rpn_loc: 0.001112 loss_D_img_s: 0.7356 loss_cls_pseudo: 0.001487 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2513 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6577 time: 1.5751 last_time: 1.5905 data_time: 0.0076 last_data_time: 0.0084 lr: 0.02 max_mem: 14768M +[04/11 11:42:31] d2.utils.events INFO: eta: 0:04:24 iter: 49819 total_loss: 1.754 loss_cls: 0.004254 loss_box_reg: 0.01146 loss_rpn_cls: 0.01296 loss_rpn_loc: 0.001117 loss_D_img_s: 0.7116 loss_cls_pseudo: 0.0008806 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3948 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6663 time: 1.5750 last_time: 1.4043 data_time: 0.0076 last_data_time: 0.0074 lr: 0.02 max_mem: 14768M +[04/11 11:43:01] d2.utils.events INFO: eta: 0:03:55 iter: 49839 total_loss: 1.729 loss_cls: 0.005989 loss_box_reg: 0.01491 loss_rpn_cls: 0.05047 loss_rpn_loc: 0.001285 loss_D_img_s: 0.7159 loss_cls_pseudo: 0.0006374 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1683 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6738 time: 1.5749 last_time: 1.4584 data_time: 0.0083 last_data_time: 0.0114 lr: 0.02 max_mem: 14768M +[04/11 11:43:32] d2.utils.events INFO: eta: 0:03:26 iter: 49859 total_loss: 1.786 loss_cls: 0.005212 loss_box_reg: 0.01167 loss_rpn_cls: 0.02256 loss_rpn_loc: 0.001216 loss_D_img_s: 0.6917 loss_cls_pseudo: 0.0008791 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.3818 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6683 time: 1.5749 last_time: 1.5725 data_time: 0.0086 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 11:44:00] d2.utils.events INFO: eta: 0:02:56 iter: 49879 total_loss: 1.867 loss_cls: 0.008132 loss_box_reg: 0.01305 loss_rpn_cls: 0.04241 loss_rpn_loc: 0.001285 loss_D_img_s: 0.6888 loss_cls_pseudo: 0.0005669 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.2486 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6769 time: 1.5748 last_time: 1.3577 data_time: 0.0080 last_data_time: 0.0056 lr: 0.02 max_mem: 14768M +[04/11 11:44:30] d2.utils.events INFO: eta: 0:02:27 iter: 49899 total_loss: 1.805 loss_cls: 0.007301 loss_box_reg: 0.01606 loss_rpn_cls: 0.007578 loss_rpn_loc: 0.001301 loss_D_img_s: 0.6792 loss_cls_pseudo: 0.0009691 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4436 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6789 time: 1.5747 last_time: 1.6249 data_time: 0.0077 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 11:45:00] d2.utils.events INFO: eta: 0:01:57 iter: 49919 total_loss: 1.794 loss_cls: 0.006269 loss_box_reg: 0.01504 loss_rpn_cls: 0.01305 loss_rpn_loc: 0.001136 loss_D_img_s: 0.6917 loss_cls_pseudo: 0.001505 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4123 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6773 time: 1.5746 last_time: 1.5396 data_time: 0.0079 last_data_time: 0.0097 lr: 0.02 max_mem: 14768M +[04/11 11:45:29] d2.utils.events INFO: eta: 0:01:28 iter: 49939 total_loss: 1.698 loss_cls: 0.005965 loss_box_reg: 0.01421 loss_rpn_cls: 0.009037 loss_rpn_loc: 0.00106 loss_D_img_s: 0.6823 loss_cls_pseudo: 0.00116 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1358 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7009 time: 1.5746 last_time: 1.4676 data_time: 0.0080 last_data_time: 0.0086 lr: 0.02 max_mem: 14768M +[04/11 11:45:59] d2.utils.events INFO: eta: 0:00:58 iter: 49959 total_loss: 1.817 loss_cls: 0.006309 loss_box_reg: 0.0141 loss_rpn_cls: 0.01408 loss_rpn_loc: 0.001078 loss_D_img_s: 0.6841 loss_cls_pseudo: 0.0005035 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.4391 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6861 time: 1.5745 last_time: 1.5083 data_time: 0.0084 last_data_time: 0.0087 lr: 0.02 max_mem: 14768M +[04/11 11:46:28] d2.utils.events INFO: eta: 0:00:29 iter: 49979 total_loss: 1.636 loss_cls: 0.009924 loss_box_reg: 0.01627 loss_rpn_cls: 0.007805 loss_rpn_loc: 0.001038 loss_D_img_s: 0.6501 loss_cls_pseudo: 0.0005647 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.1323 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.7355 time: 1.5744 last_time: 1.4249 data_time: 0.0077 last_data_time: 0.0101 lr: 0.02 max_mem: 14768M +[04/11 11:46:58] fvcore.common.checkpoint INFO: Saving checkpoint to /DATA/Rajes/Research/output_cat/bmp_rti/model_0049999.pth +[04/11 11:46:59] fvcore.common.checkpoint INFO: Saving checkpoint to /DATA/Rajes/Research/output_cat/bmp_rti/model_final.pth +[04/11 11:47:00] d2.utils.events INFO: eta: 0:00:00 iter: 49999 total_loss: 1.904 loss_cls: 0.007046 loss_box_reg: 0.01444 loss_rpn_cls: 0.01648 loss_rpn_loc: 0.001115 loss_D_img_s: 0.7682 loss_cls_pseudo: 0.0006004 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.467 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6429 time: 1.5743 last_time: 1.4303 data_time: 0.0080 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M +[04/11 11:47:00] d2.engine.hooks INFO: Overall training speed: 24997 iterations in 10:55:55 (1.5744 s / it) +[04/11 11:47:00] d2.engine.hooks INFO: Total training time: 11:19:09 (0:23:14 on hooks) +[04/11 11:47:00] d2.data.common INFO: Serializing the dataset using: +[04/11 11:47:00] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 11:47:00] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 11:47:00] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 11:47:00] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 11:47:01] d2.evaluation.evaluator INFO: Inference done 11/410. Dataloading: 0.0328 s/iter. Inference: 0.0548 s/iter. Eval: 0.0002 s/iter. Total: 0.0878 s/iter. ETA=0:00:35 +[04/11 11:47:07] d2.evaluation.evaluator INFO: Inference done 81/410. Dataloading: 0.0191 s/iter. Inference: 0.0540 s/iter. Eval: 0.0002 s/iter. Total: 0.0734 s/iter. ETA=0:00:24 +[04/11 11:47:12] d2.evaluation.evaluator INFO: Inference done 158/410. Dataloading: 0.0159 s/iter. Inference: 0.0531 s/iter. Eval: 0.0002 s/iter. Total: 0.0693 s/iter. ETA=0:00:17 +[04/11 11:47:17] d2.evaluation.evaluator INFO: Inference done 235/410. Dataloading: 0.0147 s/iter. Inference: 0.0530 s/iter. Eval: 0.0002 s/iter. Total: 0.0681 s/iter. ETA=0:00:11 +[04/11 11:47:22] d2.evaluation.evaluator INFO: Inference done 314/410. Dataloading: 0.0141 s/iter. Inference: 0.0526 s/iter. Eval: 0.0002 s/iter. Total: 0.0670 s/iter. ETA=0:00:06 +[04/11 11:47:27] d2.evaluation.evaluator INFO: Inference done 390/410. Dataloading: 0.0139 s/iter. Inference: 0.0527 s/iter. Eval: 0.0002 s/iter. Total: 0.0669 s/iter. ETA=0:00:01 +[04/11 11:47:28] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.054248 (0.066801 s / iter per device, on 1 devices) +[04/11 11:47:28] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:21 (0.052579 s / iter per device, on 1 devices) +[04/11 11:47:28] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 11:47:28] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 11:47:28] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 11:47:28] d2.evaluation.testing INFO: copypaste: 5.2802,14.1677,1.3318 +[04/11 11:47:28] d2.data.common INFO: Serializing the dataset using: +[04/11 11:47:28] d2.data.common INFO: Serializing 410 elements to byte tensors and concatenating them all ... +[04/11 11:47:28] d2.data.common INFO: Serialized dataset takes 0.18 MiB +[04/11 11:47:28] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')] +[04/11 11:47:28] d2.evaluation.evaluator INFO: Start inference on 410 batches +[04/11 11:47:32] d2.evaluation.evaluator INFO: Inference done 37/410. Dataloading: 0.0274 s/iter. Inference: 0.0534 s/iter. Eval: 0.0002 s/iter. Total: 0.0810 s/iter. ETA=0:00:30 +[04/11 11:47:37] d2.evaluation.evaluator INFO: Inference done 106/410. Dataloading: 0.0199 s/iter. Inference: 0.0551 s/iter. Eval: 0.0002 s/iter. Total: 0.0753 s/iter. ETA=0:00:22 +[04/11 11:47:42] d2.evaluation.evaluator INFO: Inference done 185/410. Dataloading: 0.0152 s/iter. Inference: 0.0547 s/iter. Eval: 0.0002 s/iter. Total: 0.0702 s/iter. ETA=0:00:15 +[04/11 11:47:47] d2.evaluation.evaluator INFO: Inference done 264/410. Dataloading: 0.0138 s/iter. Inference: 0.0541 s/iter. Eval: 0.0002 s/iter. Total: 0.0683 s/iter. ETA=0:00:09 +[04/11 11:47:52] d2.evaluation.evaluator INFO: Inference done 345/410. Dataloading: 0.0131 s/iter. Inference: 0.0534 s/iter. Eval: 0.0003 s/iter. Total: 0.0669 s/iter. ETA=0:00:04 +[04/11 11:47:56] d2.evaluation.evaluator INFO: Total inference time: 0:00:27.122234 (0.066968 s / iter per device, on 1 devices) +[04/11 11:47:56] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:00:21 (0.053162 s / iter per device, on 1 devices) +[04/11 11:47:56] d2.engine.defaults INFO: Evaluation results for VOC2007_inb_test in csv format: +[04/11 11:47:56] d2.evaluation.testing INFO: copypaste: Task: bbox +[04/11 11:47:56] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 +[04/11 11:47:56] d2.evaluation.testing INFO: copypaste: 3.6838,11.7008,0.7242 +[04/11 11:47:56] d2.utils.events INFO: eta: 0:00:00 iter: 49999 total_loss: 1.904 loss_cls: 0.007046 loss_box_reg: 0.01444 loss_rpn_cls: 0.01648 loss_rpn_loc: 0.001115 loss_D_img_s: 0.7682 loss_cls_pseudo: 0.0006004 loss_box_reg_pseudo: 0 loss_rpn_cls_pseudo: 0.467 loss_rpn_loc_pseudo: 0 loss_D_img_t: 0.6429 time: 1.5743 last_time: 1.4303 data_time: 0.0080 last_data_time: 0.0075 lr: 0.02 max_mem: 14768M