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Runtime error
Runtime error
| MODEL: | |
| META_ARCHITECTURE: "GeneralizedRCNN" | |
| WEIGHT: "catalog://ImageNetPretrained/MSRA/R-50" | |
| 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 | |
| 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",) | |
| AUG: True | |
| IGNORE_DIFFICULT: True | |
| MAX_ROTATE_THETA: 90 | |
| DATALOADER: | |
| SIZE_DIVISIBILITY: 32 | |
| NUM_WORKERS: 4 | |
| ASPECT_RATIO_GROUPING: False | |
| SOLVER: | |
| BASE_LR: 0.02 #0.02 | |
| WARMUP_FACTOR: 0.1 | |
| WEIGHT_DECAY: 0.0001 | |
| STEPS: (100000, 200000) | |
| MAX_ITER: 300000 | |
| IMS_PER_BATCH: 8 | |
| RESUME: True | |
| DISPLAY_FREQ: 20 | |
| OUTPUT_DIR: "./output/pretrain" | |
| TEST: | |
| VIS: False | |
| CHAR_THRESH: 192 | |
| IMS_PER_BATCH: 1 | |
| INPUT: | |
| MIN_SIZE_TRAIN: (600, 800) | |
| # MIN_SIZE_TRAIN: (800, 1000, 1200, 1400) | |
| MAX_SIZE_TRAIN: 2333 | |
| MIN_SIZE_TEST: 1440 | |
| MAX_SIZE_TEST: 4000 | |