2020-05-10 16:26:57 +08:00
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Global:
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algorithm: CRNN
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use_gpu: true
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epoch_num: 72
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log_smooth_window: 20
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print_batch_step: 10
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2020-05-13 16:51:36 +08:00
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save_model_dir: output/rec_CRNN
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2020-05-10 16:26:57 +08:00
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save_epoch_step: 3
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eval_batch_step: 2000
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train_batch_size_per_card: 256
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test_batch_size_per_card: 256
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image_shape: [3, 32, 100]
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max_text_length: 25
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character_type: en
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loss_type: ctc
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reader_yml: ./configs/rec/rec_benchmark_reader.yml
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2020-05-13 16:05:00 +08:00
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pretrain_weights:
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checkpoints:
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save_inference_dir:
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2020-06-02 19:03:27 +08:00
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infer_img:
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2020-05-10 16:26:57 +08:00
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Architecture:
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function: ppocr.modeling.architectures.rec_model,RecModel
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Backbone:
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function: ppocr.modeling.backbones.rec_resnet_vd,ResNet
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layers: 34
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Head:
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function: ppocr.modeling.heads.rec_ctc_head,CTCPredict
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encoder_type: rnn
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SeqRNN:
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hidden_size: 256
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Loss:
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function: ppocr.modeling.losses.rec_ctc_loss,CTCLoss
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Optimizer:
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function: ppocr.optimizer,AdamDecay
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base_lr: 0.001
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beta1: 0.9
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beta2: 0.999
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