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- GPUID: 0
- WORKERS: 1
- PRINT_FREQ: 100
- SAVE_FREQ: 10
- PIN_MEMORY: False
- OUTPUT_DIR: 'output'
- CUDNN:
- BENCHMARK: True
- DETERMINISTIC: False
- ENABLED: True
- DATASET:
- DATASET: 360CC
- # ROOT: "H:/DL-DATASET/360M/images"
- ROOT: "C:/Users/Administrator/Desktop/OCR_pytorch/Attention_ocr.pytorch/test_img"
- CHAR_FILE: 'lib/dataset/txt/char_std_5990.txt'
- JSON_FILE: {'train': 'lib/dataset/txt/my_test.txt', 'val': 'lib/dataset/txt/test.txt'}
- # JSON_FILE: {'train': 'H:/DL-DATASET/360M/train.txt', 'val': 'H:/DL-DATASET/360M/test.txt'}
- SCALE_FACTOR: 0.25
- ROT_FACTOR: 30
- STD: 0.193
- MEAN: 0.588
- ALPHABETS: ''
- TRAIN:
- BATCH_SIZE_PER_GPU: 64
- SHUFFLE: True
- BEGIN_EPOCH: 0
- END_EPOCH: 100
- RESUME:
- IS_RESUME: False
- FILE: ''
- OPTIMIZER: 'adam'
- LR: 0.0001
- WD: 0.0
- LR_STEP: [60, 80]
- LR_FACTOR: 0.1
- MOMENTUM: 0.0
- NESTEROV: False
- RMSPROP_ALPHA:
- RMSPROP_CENTERED:
- FINETUNE:
- IS_FINETUNE: true
- FINETUNE_CHECKPOINIT: 'output/checkpoints/mixed_second_finetune_acc_97P7.pth'
- FREEZE: true
- TEST:
- BATCH_SIZE_PER_GPU: 16
- SHUFFLE: True # for random test rather than test on the whole validation set
- NUM_TEST_BATCH: 1000
- NUM_TEST_DISP: 10
- MODEL:
- NAME: 'crnn'
- IMAGE_SIZE:
- OW: 280 # origial width: 280
- H: 32
- W: 960 # resized width: 160
- NUM_CLASSES: 0
- NUM_HIDDEN: 256
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