2020-05-10 16:26:57 +08:00
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Global:
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algorithm: RARE
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2020-06-03 17:38:44 +08:00
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use_gpu: true
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2020-05-10 16:26:57 +08:00
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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_RARE
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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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2020-06-03 17:38:44 +08:00
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character_type: en
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2020-05-10 16:26:57 +08:00
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loss_type: attention
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2020-06-03 15:49:18 +08:00
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tps: true
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2020-05-10 16:26:57 +08:00
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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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TPS:
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function: ppocr.modeling.stns.tps,TPS
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num_fiducial: 20
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loc_lr: 0.1
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model_name: small
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Backbone:
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function: ppocr.modeling.backbones.rec_mobilenet_v3,MobileNetV3
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scale: 0.5
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model_name: large
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Head:
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function: ppocr.modeling.heads.rec_attention_head,AttentionPredict
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encoder_type: rnn
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SeqRNN:
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hidden_size: 96
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Attention:
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decoder_size: 96
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word_vector_dim: 96
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Loss:
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function: ppocr.modeling.losses.rec_attention_loss,AttentionLoss
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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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