MODEL: META_ARCHITECTURE: "GeneralizedRCNN" # WEIGHT: './output/path-to-pretrain-model' # for training WEIGHT: './output/mixtrain/trained_model.pth' # for testing BACKBONE: CONV_BODY: "R-50-FPN" OUT_CHANNELS: 256 RESNETS: BACKBONE_OUT_CHANNELS: 256 RPN: USE_FPN: True ANCHOR_STRIDE: (4, 8, 16, 32, 64) PRE_NMS_TOP_N_TRAIN: 2000 PRE_NMS_TOP_N_TEST: 1000 POST_NMS_TOP_N_TEST: 1000 FPN_POST_NMS_TOP_N_TEST: 1000 SEG: USE_FPN: True USE_FUSE_FEATURE: True TOP_N_TRAIN: 1000 TOP_N_TEST: 1000 BINARY_THRESH: 0.1 BOX_THRESH: 0.1 MIN_SIZE: 5 SHRINK_RATIO: 0.4 EXPAND_RATIO: 3.0 ROI_HEADS: USE_FPN: True BATCH_SIZE_PER_IMAGE: 512 ROI_BOX_HEAD: POOLER_RESOLUTION: 7 POOLER_SCALES: (0.25,) POOLER_SAMPLING_RATIO: 2 FEATURE_EXTRACTOR: "FPN2MLPFeatureExtractor" PREDICTOR: "FPNPredictor" NUM_CLASSES: 2 USE_MASKED_FEATURE: True ROI_MASK_HEAD: POOLER_SCALES: (0.25,) FEATURE_EXTRACTOR: "MaskRCNNFPNFeatureExtractor" PREDICTOR: "SeqCharMaskRCNNC4Predictor" POOLER_RESOLUTION: 14 POOLER_RESOLUTION_H: 32 POOLER_RESOLUTION_W: 32 POOLER_SAMPLING_RATIO: 2 RESOLUTION: 28 RESOLUTION_H: 64 RESOLUTION_W: 64 SHARE_BOX_FEATURE_EXTRACTOR: False CHAR_NUM_CLASSES: 37 USE_WEIGHTED_CHAR_MASK: True MASK_BATCH_SIZE_PER_IM: 64 USE_MASKED_FEATURE: True MASK_ON: True CHAR_MASK_ON: True SEG_ON: True # TRAIN_DETECTION_ONLY: True SEQUENCE: SEQ_ON: True NUM_CHAR: 38 BOS_TOKEN: 0 MAX_LENGTH: 32 TEACHER_FORCE_RATIO: 1.0 DATASETS: # TRAIN: ("synthtext_train",) TRAIN: ("synthtext_train","icdar_2013_train","icdar_2015_train","scut-eng-char_train","total_text_train") RATIOS: [0.25,0.25,0.25,0.125,0.125] # TEST: ("icdar_2015_test",) TEST: ("total_text_test",) # TEST: ("rotated_ic13_test_45",) AUG: True IGNORE_DIFFICULT: True MAX_ROTATE_THETA: 90 DATALOADER: SIZE_DIVISIBILITY: 32 NUM_WORKERS: 4 ASPECT_RATIO_GROUPING: False SOLVER: BASE_LR: 0.002 #0.02 WARMUP_FACTOR: 0.1 WEIGHT_DECAY: 0.0001 STEPS: (100000, 160000) MAX_ITER: 300000 IMS_PER_BATCH: 8 RESUME: False DISPLAY_FREQ: 20 OUTPUT_DIR: "./output/mixtrain" TEST: VIS: True CHAR_THRESH: 192 IMS_PER_BATCH: 1 INPUT: MIN_SIZE_TRAIN: (800, 1000, 1200, 1400) MAX_SIZE_TRAIN: 2333 MIN_SIZE_TEST: 1000 # MIN_SIZE_TEST: 1440 MAX_SIZE_TEST: 4000