eval.sh 463 B

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  1. #!/bin/bash
  2. train_code_path='/data2/liudan/ocr/code_ocr'
  3. test_code_path='/data2/liudan/ocr/code_ocr/test'
  4. cd $train_code_path
  5. python train_data.py # 参考train_data.py内容
  6. echo '=========train_data已完成========='
  7. cd $test_code_path
  8. python eval_file_200.py # 预测
  9. echo '=========eval已完成========='
  10. sleep 10s
  11. python score_the_ocr_model.py # 查找最好的权重模型,保存best.pb
  12. echo '=========score_the_ocr已完成========='