2020-09-01 13:44:51 +08:00
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Global:
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algorithm: CLS
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2020-09-14 10:41:43 +08:00
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use_gpu: False
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epoch_num: 100
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2020-09-01 13:44:51 +08:00
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log_smooth_window: 20
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2020-09-14 10:41:43 +08:00
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print_batch_step: 100
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save_model_dir: output/cls_mv3
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2020-09-01 13:44:51 +08:00
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save_epoch_step: 3
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2020-09-14 10:41:43 +08:00
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eval_batch_step: 500
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train_batch_size_per_card: 512
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test_batch_size_per_card: 512
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image_shape: [3, 48, 192]
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label_list: ['0','180']
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distort: True
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2020-09-01 13:44:51 +08:00
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reader_yml: ./configs/cls/cls_reader.yml
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pretrain_weights:
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2020-09-14 10:41:43 +08:00
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checkpoints:
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2020-09-01 13:44:51 +08:00
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save_inference_dir:
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2020-09-14 10:41:43 +08:00
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infer_img:
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2020-09-01 13:44:51 +08:00
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Architecture:
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function: ppocr.modeling.architectures.cls_model,ClsModel
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Backbone:
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function: ppocr.modeling.backbones.rec_mobilenet_v3,MobileNetV3
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scale: 0.35
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2020-09-14 10:41:43 +08:00
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model_name: small
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2020-09-01 13:44:51 +08:00
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Head:
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function: ppocr.modeling.heads.cls_head,ClsHead
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class_dim: 2
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Loss:
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function: ppocr.modeling.losses.cls_loss,ClsLoss
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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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decay:
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2020-09-14 10:41:43 +08:00
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function: cosine_decay
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step_each_epoch: 1169
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total_epoch: 100
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