47 lines
1.1 KiB
YAML
Executable File
47 lines
1.1 KiB
YAML
Executable File
Global:
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algorithm: EAST
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use_gpu: true
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epoch_num: 100000
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log_smooth_window: 20
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print_batch_step: 5
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save_model_dir: ./output/det_east/
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save_epoch_step: 200
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eval_batch_step: [5000, 5000]
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train_batch_size_per_card: 16
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test_batch_size_per_card: 16
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image_shape: [3, 512, 512]
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reader_yml: ./configs/det/det_east_icdar15_reader.yml
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pretrain_weights: ./pretrain_models/MobileNetV3_large_x0_5_pretrained/
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checkpoints:
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save_res_path: ./output/det_east/predicts_east.txt
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save_inference_dir:
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infer_img:
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Architecture:
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function: ppocr.modeling.architectures.det_model,DetModel
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Backbone:
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function: ppocr.modeling.backbones.det_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.det_east_head,EASTHead
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model_name: small
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Loss:
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function: ppocr.modeling.losses.det_east_loss,EASTLoss
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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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PostProcess:
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function: ppocr.postprocess.east_postprocess,EASTPostPocess
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score_thresh: 0.8
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cover_thresh: 0.1
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nms_thresh: 0.2
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