1、开启训练
python tools/train.py -c configs/rec/20220511_ch_PP-OCRv2_rec.yml
2、对训练的模型进行测试
python tools/infer_rec.py -c configs/rec/20220511_ch_PP-OCRv2_rec.yml -o Global.checkpoints="./output/rec/202205191653/best_accuracy" Global.load_static_weights=false Global.infer_img="./train_data/test_20220429/" Global.save_res_path="F:/20220517/20220518/test0821.txt"
3、评估训练模型
python tools/eval.py -c configs/rec/20220511_ch_PP-OCRv2_rec.yml -o Global.checkpoints="./output/rec/202205191653/best_accuracy"
4、把训练好的模型转换为推断模型
python tools/export_model.py -c configs/rec/20220511_ch_PP-OCRv2_rec.yml -o Global.checkpoints="./output/rec/202205191653/best_accuracy" Global.save_inference_dir="./pretrain_models/inference"
5、在Python环境下利用推断模型进行测试
python tools/infer/predict_rec.py --image_dir="./train_data/test_20220429/" --rec_model_dir="./pretrain_models/inference/" --rec_char_type="ch" --rec_char_dict_path="ppocr/utils/2C_D.txt" --use_space_char=False
6、在C++下利用推断模型进行测试要先构建工程
