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Optimize ocr system code (#209)

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* Support PPYOLOE plus model

* Optimize ocr system code

* modify example code

* fix patchelf of openvino

* optimize demo code of ocr

* remove debug code

* update demo code of ocr

Co-authored-by: Jack Zhou <zhoushunjie@baidu.com>
This commit is contained in:
Jason
2022-09-14 09:46:03 +08:00
committed by GitHub
parent 1452275efe
commit 0dd9ecee65
39 changed files with 1041 additions and 909 deletions
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8
examples/vision/ocr/PPOCRSystemv2/python/README.md
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@@ -19,9 +19,9 @@ tar -xvf ch_ppocr_mobile_v2.0_cls_infer.tar.gz
wget https://bj.bcebos.com/paddlehub/fastdeploy/ch_PP-OCRv2_rec_infer.tar.gz
tar -xvf ch_PP-OCRv2_rec_infer.tar.gz
wget https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.6/doc/imgs/12.jpg
wget https://gitee.com/paddlepaddle/PaddleOCR/raw/release/2.6/doc/imgs/12.jpg
wget https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.6/ppocr/utils/ppocr_keys_v1.txt
wget https://gitee.com/paddlepaddle/PaddleOCR/raw/release/2.6/ppocr/utils/ppocr_keys_v1.txt
#下载部署示例代码
@@ -33,9 +33,7 @@ python infer.py --det_model ch_PP-OCRv2_det_infer --cls_model ch_ppocr_mobile_v2
# GPU推理
python infer.py --det_model ch_PP-OCRv2_det_infer --cls_model ch_ppocr_mobile_v2.0_cls_infer --rec_model ch_PP-OCRv2_rec_infer --rec_label_file ppocr_keys_v1.txt --image 12.jpg --device gpu
# GPU上使用TensorRT推理
python infer.py --det_model ch_PP-OCRv2_det_infer --cls_model ch_ppocr_mobile_v2.0_cls_infer --rec_model ch_PP-OCRv2_rec_infer --rec_label_file ppocr_keys_v1.txt --image 12.jpg --device gpu --det_use_trt True --cls_use_trt True --rec_use_trt True
# OCR还支持det/cls/rec三个模型的组合使用，例如当我们不想使用cls模型的时候，只需要给--cls_model传入一个空的字符串, 例子如下：
python infer.py --det_model ch_PP-OCRv2_det_infer --cls_model "" --rec_model ch_PP-OCRv2_rec_infer --rec_label_file ppocr_keys_v1.txt --image 12.jpg --device cpu
python infer.py --det_model ch_PP-OCRv2_det_infer --cls_model ch_ppocr_mobile_v2.0_cls_infer --rec_model ch_PP-OCRv2_rec_infer --rec_label_file ppocr_keys_v1.txt --image 12.jpg --device gpu --backend trt
```
运行完成可视化结果如下图所示