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TDE/pretrained_faster_rcnn/config.yml

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+AMP_VERBOSE: false
+DATALOADER:
+  ASPECT_RATIO_GROUPING: true
+  NUM_WORKERS: 4
+  SIZE_DIVISIBILITY: 32
+DATASETS:
+  TEST:
+  - VG_stanford_filtered_test
+  TRAIN:
+  - VG_stanford_filtered_train
+  VAL:
+  - VG_stanford_filtered_val
+DTYPE: float16
+GLOVE_DIR: .
+INPUT:
+  BRIGHTNESS: 0.0
+  CONTRAST: 0.0
+  HUE: 0.0
+  MAX_SIZE_TEST: 1000
+  MAX_SIZE_TRAIN: 1000
+  MIN_SIZE_TEST: 600
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+  - 600
+  PIXEL_MEAN:
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+  - 115.9465
+  - 122.7717
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+  - 1.0
+  - 1.0
+  SATURATION: 0.0
+  TO_BGR255: true
+  VERTICAL_FLIP_PROB_TRAIN: 0.0
+MODEL:
+  ATTRIBUTE_ON: false
+  BACKBONE:
+    CONV_BODY: R-101-FPN
+    FREEZE_CONV_BODY_AT: 2
+  CLS_AGNOSTIC_BBOX_REG: false
+  DEVICE: cuda
+  FBNET:
+    ARCH: default
+    ARCH_DEF: ''
+    BN_TYPE: bn
+    DET_HEAD_BLOCKS: []
+    DET_HEAD_LAST_SCALE: 1.0
+    DET_HEAD_STRIDE: 0
+    DW_CONV_SKIP_BN: true
+    DW_CONV_SKIP_RELU: true
+    KPTS_HEAD_BLOCKS: []
+    KPTS_HEAD_LAST_SCALE: 0.0
+    KPTS_HEAD_STRIDE: 0
+    MASK_HEAD_BLOCKS: []
+    MASK_HEAD_LAST_SCALE: 0.0
+    MASK_HEAD_STRIDE: 0
+    RPN_BN_TYPE: ''
+    RPN_HEAD_BLOCKS: 0
+    SCALE_FACTOR: 1.0
+    WIDTH_DIVISOR: 1
+  FLIP_AUG: false
+  FPN:
+    USE_GN: false
+    USE_RELU: false
+  GROUP_NORM:
+    DIM_PER_GP: -1
+    EPSILON: 1.0e-05
+    NUM_GROUPS: 32
+  KEYPOINT_ON: false
+  MASK_ON: false
+  META_ARCHITECTURE: GeneralizedRCNN
+  PRETRAINED_DETECTOR_CKPT: ''
+  RELATION_ON: false
+  RESNETS:
+    BACKBONE_OUT_CHANNELS: 256
+    DEFORMABLE_GROUPS: 1
+    NUM_GROUPS: 32
+    RES2_OUT_CHANNELS: 256
+    RES5_DILATION: 1
+    STAGE_WITH_DCN:
+    - false
+    - false
+    - false
+    - false
+    STEM_FUNC: StemWithFixedBatchNorm
+    STEM_OUT_CHANNELS: 64
+    STRIDE_IN_1X1: false
+    TRANS_FUNC: BottleneckWithFixedBatchNorm
+    WIDTH_PER_GROUP: 8
+    WITH_MODULATED_DCN: false
+  RETINANET:
+    ANCHOR_SIZES:
+    - 32
+    - 64
+    - 128
+    - 256
+    - 512
+    ANCHOR_STRIDES:
+    - 8
+    - 16
+    - 32
+    - 64
+    - 128
+    ASPECT_RATIOS:
+    - 0.5
+    - 1.0
+    - 2.0
+    BBOX_REG_BETA: 0.11
+    BBOX_REG_WEIGHT: 4.0
+    BG_IOU_THRESHOLD: 0.4
+    FG_IOU_THRESHOLD: 0.5
+    INFERENCE_TH: 0.05
+    LOSS_ALPHA: 0.25
+    LOSS_GAMMA: 2.0
+    NMS_TH: 0.4
+    NUM_CLASSES: 81
+    NUM_CONVS: 4
+    OCTAVE: 2.0
+    PRE_NMS_TOP_N: 1000
+    PRIOR_PROB: 0.01
+    SCALES_PER_OCTAVE: 3
+    STRADDLE_THRESH: 0
+    USE_C5: true
+  RETINANET_ON: false
+  ROI_ATTRIBUTE_HEAD:
+    ATTRIBUTE_BGFG_RATIO: 3
+    ATTRIBUTE_BGFG_SAMPLE: true
+    ATTRIBUTE_LOSS_WEIGHT: 1.0
+    FEATURE_EXTRACTOR: FPN2MLPFeatureExtractor
+    MAX_ATTRIBUTES: 10
+    NUM_ATTRIBUTES: 201
+    POS_WEIGHT: 50.0
+    PREDICTOR: FPNPredictor
+    SHARE_BOX_FEATURE_EXTRACTOR: true
+    USE_BINARY_LOSS: true
+  ROI_BOX_HEAD:
+    CONV_HEAD_DIM: 256
+    DILATION: 1
+    FEATURE_EXTRACTOR: FPN2MLPFeatureExtractor
+    MLP_HEAD_DIM: 4096
+    NUM_CLASSES: 151
+    NUM_STACKED_CONVS: 4
+    POOLER_RESOLUTION: 7
+    POOLER_SAMPLING_RATIO: 2
+    POOLER_SCALES:
+    - 0.25
+    - 0.125
+    - 0.0625
+    - 0.03125
+    PREDICTOR: FPNPredictor
+    USE_GN: false
+  ROI_HEADS:
+    BATCH_SIZE_PER_IMAGE: 256
+    BBOX_REG_WEIGHTS:
+    - 10.0
+    - 10.0
+    - 5.0
+    - 5.0
+    BG_IOU_THRESHOLD: 0.3
+    DETECTIONS_PER_IMG: 256
+    FG_IOU_THRESHOLD: 0.5
+    NMS: 0.3
+    NMS_FILTER_DUPLICATES: false
+    POSITIVE_FRACTION: 0.5
+    POST_NMS_PER_CLS_TOPN: 300
+    SCORE_THRESH: 0.01
+    USE_FPN: true
+  ROI_KEYPOINT_HEAD:
+    CONV_LAYERS:
+    - 512
+    - 512
+    - 512
+    - 512
+    - 512
+    - 512
+    - 512
+    - 512
+    FEATURE_EXTRACTOR: KeypointRCNNFeatureExtractor
+    MLP_HEAD_DIM: 1024
+    NUM_CLASSES: 17
+    POOLER_RESOLUTION: 14
+    POOLER_SAMPLING_RATIO: 0
+    POOLER_SCALES:
+    - 0.0625
+    PREDICTOR: KeypointRCNNPredictor
+    RESOLUTION: 14
+    SHARE_BOX_FEATURE_EXTRACTOR: true
+  ROI_MASK_HEAD:
+    CONV_LAYERS:
+    - 256
+    - 256
+    - 256
+    - 256
+    DILATION: 1
+    FEATURE_EXTRACTOR: ResNet50Conv5ROIFeatureExtractor
+    MLP_HEAD_DIM: 1024
+    POOLER_RESOLUTION: 14
+    POOLER_SAMPLING_RATIO: 0
+    POOLER_SCALES:
+    - 0.0625
+    POSTPROCESS_MASKS: false
+    POSTPROCESS_MASKS_THRESHOLD: 0.5
+    PREDICTOR: MaskRCNNC4Predictor
+    RESOLUTION: 14
+    SHARE_BOX_FEATURE_EXTRACTOR: true
+    USE_GN: false
+  ROI_RELATION_HEAD:
+    BATCH_SIZE_PER_IMAGE: 64
+    CONTEXT_DROPOUT_RATE: 0.2
+    CONTEXT_HIDDEN_DIM: 512
+    CONTEXT_OBJ_LAYER: 1
+    CONTEXT_POOLING_DIM: 4096
+    CONTEXT_REL_LAYER: 1
+    EMBED_DIM: 200
+    FEATURE_EXTRACTOR: MotifsFeatureExtractor
+    LABEL_SMOOTHING_LOSS: false
+    NUM_CLASSES: 51
+    NUM_SAMPLE_PER_GT_REL: 4
+    POOLING_ALL_LEVELS: true
+    POSITIVE_FRACTION: 0.25
+    PREDICTOR: MotifPredictor
+    PREDICT_USE_BIAS: true
+    PREDICT_USE_VISION: true
+    REQUIRE_BOX_OVERLAP: true
+    TRANSFORMER:
+      DROPOUT_RATE: 0.1
+      INNER_DIM: 2048
+      KEY_DIM: 64
+      NUM_HEAD: 8
+      OBJ_LAYER: 4
+      REL_LAYER: 2
+      VAL_DIM: 64
+    USE_GT_BOX: true
+    USE_GT_OBJECT_LABEL: false
+  RPN:
+    ANCHOR_SIZES:
+    - 32
+    - 64
+    - 128
+    - 256
+    - 512
+    ANCHOR_STRIDE:
+    - 4
+    - 8
+    - 16
+    - 32
+    - 64
+    ASPECT_RATIOS:
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+    - 0.63365731
+    - 1.28478321
+    - 3.15089189
+    BATCH_SIZE_PER_IMAGE: 256
+    BG_IOU_THRESHOLD: 0.3
+    FG_IOU_THRESHOLD: 0.7
+    FPN_POST_NMS_PER_BATCH: false
+    FPN_POST_NMS_TOP_N_TEST: 2000
+    FPN_POST_NMS_TOP_N_TRAIN: 2000
+    MIN_SIZE: 0
+    NMS_THRESH: 0.7
+    POSITIVE_FRACTION: 0.5
+    POST_NMS_TOP_N_TEST: 1000
+    POST_NMS_TOP_N_TRAIN: 2000
+    PRE_NMS_TOP_N_TEST: 6000
+    PRE_NMS_TOP_N_TRAIN: 12000
+    RPN_HEAD: SingleConvRPNHead
+    RPN_MID_CHANNEL: 256
+    STRADDLE_THRESH: 0
+    USE_FPN: true
+  RPN_ONLY: false
+  VGG:
+    VGG16_OUT_CHANNELS: 512
+  WEIGHT: catalog://ImageNetPretrained/FAIR/20171220/X-101-32x8d
+OUTPUT_DIR: /home/kaihua/checkpoints/pretrained_faster_rcnn
+PATHS_CATALOG: /data1/kaihua/projects/maskrcnn-benchmark/maskrcnn_benchmark/config/paths_catalog.py
+PATHS_DATA: /data1/kaihua/projects/maskrcnn-benchmark/maskrcnn_benchmark/config/../data/datasets
+SOLVER:
+  BASE_LR: 0.001
+  BIAS_LR_FACTOR: 2
+  CHECKPOINT_PERIOD: 5000
+  CLIP_NORM: 5.0
+  GAMMA: 0.1
+  GRAD_NORM_CLIP: 5.0
+  IMS_PER_BATCH: 8
+  MAX_ITER: 45000
+  MOMENTUM: 0.9
+  PRE_VAL: false
+  PRINT_GRAD_FREQ: 5000
+  SCHEDULE:
+    COOLDOWN: 1
+    FACTOR: 0.5
+    MAX_DECAY_STEP: 7
+    PATIENCE: 2
+    THRESHOLD: 0.0001
+    TYPE: WarmupMultiStepLR
+  STEPS:
+  - 30000
+  - 40000
+  TO_VAL: true
+  UPDATE_SCHEDULE_DURING_LOAD: false
+  VAL_PERIOD: 20000
+  WARMUP_FACTOR: 0.1
+  WARMUP_ITERS: 500
+  WARMUP_METHOD: linear
+  WEIGHT_DECAY: 0.0001
+  WEIGHT_DECAY_BIAS: 0.0
+TEST:
+  BBOX_AUG:
+    ENABLED: false
+    H_FLIP: false
+    MAX_SIZE: 4000
+    SCALES: []
+    SCALE_H_FLIP: false
+  DETECTIONS_PER_IMG: 100
+  EXPECTED_RESULTS: []
+  EXPECTED_RESULTS_SIGMA_TOL: 4
+  IMS_PER_BATCH: 4
+  RELATION:
+    GRAPH_IOU_ON: true
+    IOU_THRESHOLD: 0.5
+    LATER_NMS_PREDICTION_THRES: 0.3
+    MULTIPLE_PREDS: false
+    REQUIRE_OVERLAP: true
+  SAVE_PROPOSALS: false

TDE/pretrained_faster_rcnn/labels.json

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+{
+  "0": "__background__",
+  "1": "airplane",
+  "2": "animal",
+  "3": "arm",
+  "4": "bag",
+  "5": "banana",
+  "6": "basket",
+  "7": "beach",
+  "8": "bear",
+  "9": "bed",
+  "10": "bench",
+  "11": "bike",
+  "12": "bird",
+  "13": "board",
+  "14": "boat",
+  "15": "book",
+  "16": "boot",
+  "17": "bottle",
+  "18": "bowl",
+  "19": "box",
+  "20": "boy",
+  "21": "branch",
+  "22": "building",
+  "23": "bus",
+  "24": "cabinet",
+  "25": "cap",
+  "26": "car",
+  "27": "cat",
+  "28": "chair",
+  "29": "child",
+  "30": "clock",
+  "31": "coat",
+  "32": "counter",
+  "33": "cow",
+  "34": "cup",
+  "35": "curtain",
+  "36": "desk",
+  "37": "dog",
+  "38": "door",
+  "39": "drawer",
+  "40": "ear",
+  "41": "elephant",
+  "42": "engine",
+  "43": "eye",
+  "44": "face",
+  "45": "fence",
+  "46": "finger",
+  "47": "flag",
+  "48": "flower",
+  "49": "food",
+  "50": "fork",
+  "51": "fruit",
+  "52": "giraffe",
+  "53": "girl",
+  "54": "glass",
+  "55": "glove",
+  "56": "guy",
+  "57": "hair",
+  "58": "hand",
+  "59": "handle",
+  "60": "hat",
+  "61": "head",
+  "62": "helmet",
+  "63": "hill",
+  "64": "horse",
+  "65": "house",
+  "66": "jacket",
+  "67": "jean",
+  "68": "kid",
+  "69": "kite",
+  "70": "lady",
+  "71": "lamp",
+  "72": "laptop",
+  "73": "leaf",
+  "74": "leg",
+  "75": "letter",
+  "76": "light",
+  "77": "logo",
+  "78": "man",
+  "79": "men",
+  "80": "motorcycle",
+  "81": "mountain",
+  "82": "mouth",
+  "83": "neck",
+  "84": "nose",
+  "85": "number",
+  "86": "orange",
+  "87": "pant",
+  "88": "paper",
+  "89": "paw",
+  "90": "people",
+  "91": "person",
+  "92": "phone",
+  "93": "pillow",
+  "94": "pizza",
+  "95": "plane",
+  "96": "plant",
+  "97": "plate",
+  "98": "player",
+  "99": "pole",
+  "100": "post",
+  "101": "pot",
+  "102": "racket",
+  "103": "railing",
+  "104": "rock",
+  "105": "roof",
+  "106": "room",
+  "107": "screen",
+  "108": "seat",
+  "109": "sheep",
+  "110": "shelf",
+  "111": "shirt",
+  "112": "shoe",
+  "113": "short",
+  "114": "sidewalk",
+  "115": "sign",
+  "116": "sink",
+  "117": "skateboard",
+  "118": "ski",
+  "119": "skier",
+  "120": "sneaker",
+  "121": "snow",
+  "122": "sock",
+  "123": "stand",
+  "124": "street",
+  "125": "surfboard",
+  "126": "table",
+  "127": "tail",
+  "128": "tie",
+  "129": "tile",
+  "130": "tire",
+  "131": "toilet",
+  "132": "towel",
+  "133": "tower",
+  "134": "track",
+  "135": "train",
+  "136": "tree",
+  "137": "truck",
+  "138": "trunk",
+  "139": "umbrella",
+  "140": "vase",
+  "141": "vegetable",
+  "142": "vehicle",
+  "143": "wave",
+  "144": "wheel",
+  "145": "window",
+  "146": "windshield",
+  "147": "wing",
+  "148": "wire",
+  "149": "woman",
+  "150": "zebra"
+}

TDE/pretrained_faster_rcnn/last_checkpoint

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