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config.yaml

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+CUDNN_BENCHMARK: False
+DATALOADER:
+  ASPECT_RATIO_GROUPING: True
+  FILTER_EMPTY_ANNOTATIONS: True
+  NUM_WORKERS: 4
+  REPEAT_THRESHOLD: 0.0
+  SAMPLER_TRAIN: TrainingSampler
+DATASETS:
+  PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000
+  PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000
+  PROPOSAL_FILES_TEST: ()
+  PROPOSAL_FILES_TRAIN: ()
+  TEST: ('coco_2017_val',)
+  TRAIN: ('coco_2017_train',)
+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: (640, 672, 704, 736, 768, 800)
+  MIN_SIZE_TRAIN_SAMPLING: choice
+  RANDOM_FLIP: horizontal
+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_resnet_fpn_backbone
+  DEVICE: cuda
+  FPN:
+    FUSE_TYPE: sum
+    IN_FEATURES: ['res2', 'res3', 'res4', 'res5']
+    NORM: 
+    OUT_CHANNELS: 256
+  KEYPOINT_ON: False
+  LOAD_PROPOSALS: False
+  MASK_ON: False
+  META_ARCHITECTURE: GeneralizedRCNN
+  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: [103.53, 116.28, 123.675]
+  PIXEL_STD: [1.0, 1.0, 1.0]
+  PROPOSAL_GENERATOR:
+    MIN_SIZE: 0
+    NAME: RPN
+  RESNETS:
+    DEFORM_MODULATED: False
+    DEFORM_NUM_GROUPS: 1
+    DEFORM_ON_PER_STAGE: [False, False, False, False]
+    DEPTH: 50
+    NORM: FrozenBN
+    NUM_GROUPS: 1
+    OUT_FEATURES: ['res2', 'res3', 'res4', 'res5']
+    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: (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: ((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: (10.0, 10.0, 5.0, 5.0)
+    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: ['p2', 'p3', 'p4', 'p5']
+    IOU_LABELS: [0, 1]
+    IOU_THRESHOLDS: [0.5]
+    NAME: StandardROIHeads
+    NMS_THRESH_TEST: 0.5
+    NUM_CLASSES: 4
+    POSITIVE_FRACTION: 0.25
+    PROPOSAL_APPEND_GT: True
+    SCORE_THRESH_TEST: 0.5
+  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: 4
+    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: (1.0, 1.0, 1.0, 1.0)
+    BOUNDARY_THRESH: -1
+    CONV_DIMS: [-1]
+    HEAD_NAME: StandardRPNHead
+    IN_FEATURES: ['p2', 'p3', 'p4', 'p5', 'p6']
+    IOU_LABELS: [0, -1, 1]
+    IOU_THRESHOLDS: [0.3, 0.7]
+    LOSS_WEIGHT: 1.0
+    NMS_THRESH: 0.7
+    POSITIVE_FRACTION: 0.5
+    POST_NMS_TOPK_TEST: 1000
+    POST_NMS_TOPK_TRAIN: 1000
+    PRE_NMS_TOPK_TEST: 1000
+    PRE_NMS_TOPK_TRAIN: 2000
+    SMOOTH_L1_BETA: 0.0
+  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: /home/set3/set3/model_final.pth
+OUTPUT_DIR: ./output
+SEED: -1
+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
+  GAMMA: 0.1
+  IMS_PER_BATCH: 16
+  LR_SCHEDULER_NAME: WarmupMultiStepLR
+  MAX_ITER: 270000
+  MOMENTUM: 0.9
+  NESTEROV: False
+  NUM_DECAYS: 3
+  REFERENCE_WORLD_SIZE: 0
+  RESCALE_INTERVAL: False
+  STEPS: (210000, 250000)
+  WARMUP_FACTOR: 0.001
+  WARMUP_ITERS: 1000
+  WARMUP_METHOD: linear
+  WEIGHT_DECAY: 0.0001
+  WEIGHT_DECAY_BIAS: None
+  WEIGHT_DECAY_NORM: 0.0
+TEST:
+  AUG:
+    ENABLED: False
+    FLIP: True
+    MAX_SIZE: 4000
+    MIN_SIZES: (400, 500, 600, 700, 800, 900, 1000, 1100, 1200)
+  DETECTIONS_PER_IMAGE: 100
+  EVAL_PERIOD: 0
+  EXPECTED_RESULTS: []
+  KEYPOINT_OKS_SIGMAS: []
+  PRECISE_BN:
+    ENABLED: False
+    NUM_ITER: 200
+VERSION: 2
+VIS_PERIOD: 0

instances_predictions.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:01e581b5c1c53e0d52652537bd7730440f41c9952aecd309d3a3b5ce4d14d03b
+size 153568

last_checkpoint

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+model_final.pth

model_final.pth

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+version https://git-lfs.github.com/spec/v1
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+size 330148308