change model to inference modem
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@ -123,15 +123,15 @@ cd build.opt/lite/api/
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```
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# 【推荐】 下载PaddleOCR V2.0版本的中英文 inference模型
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wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_slim_infer.tar && tar xf ch_ppocr_mobile_v2.0_det_slim_infer.tar
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wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_slim_infer.tar && tar xf ch_ppocr_mobile_v2.0_rec_slim_infer.tar
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wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_slim_infer.tar && tar xf ch_ppocr_mobile_v2.0_cls_slim_infer.tar
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wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar && tar xf ch_ppocr_mobile_v2.0_det_infer.tar
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wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar && tar xf ch_ppocr_mobile_v2.0_rec_infer.tar
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wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar && tar xf ch_ppocr_mobile_v2.0_cls_infer.tar
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# 转换V2.0检测模型
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./opt --model_file=./ch_ppocr_mobile_v2.0_det_slim_infer/inference.pdmodel --param_file=./ch_ppocr_mobile_v2.0_det_slim_infer/inference.pdiparams --optimize_out=./ch_ppocr_mobile_v2.0_det_slim_opt --valid_targets=arm --optimize_out_type=naive_buffer
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./opt --model_file=./ch_ppocr_mobile_v2.0_det_infer/inference.pdmodel --param_file=./ch_ppocr_mobile_v2.0_det_infer/inference.pdiparams --optimize_out=./ch_ppocr_mobile_v2.0_det_opt --valid_targets=arm --optimize_out_type=naive_buffer
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# 转换V2.0识别模型
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./opt --model_file=./ch_ppocr_mobile_v2.0_rec_slim_infer/inference.pdmodel --param_file=./ch_ppocr_mobile_v2.0_rec_slim_infer/inference.pdiparams --optimize_out=./ch_ppocr_mobile_v2.0_rec_slim_opt --valid_targets=arm --optimize_out_type=naive_buffer
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./opt --model_file=./ch_ppocr_mobile_v2.0_rec_infer/inference.pdmodel --param_file=./ch_ppocr_mobile_v2.0_rec_infer/inference.pdiparams --optimize_out=./ch_ppocr_mobile_v2.0_rec_opt --valid_targets=arm --optimize_out_type=naive_buffer
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# 转换V2.0方向分类器模型
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./opt --model_file=./ch_ppocr_mobile_v2.0_cls_slim_infer/inference.pdmodel --param_file=./ch_ppocr_mobile_v2.0_cls_slim_infer/inference.pdiparams --optimize_out=./ch_ppocr_mobile_v2.0_cls_slim_opt --valid_targets=arm --optimize_out_type=naive_buffer
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./opt --model_file=./ch_ppocr_mobile_v2.0_cls_infer/inference.pdmodel --param_file=./ch_ppocr_mobile_v2.0_cls_infer/inference.pdiparams --optimize_out=./ch_ppocr_mobile_v2.0_cls_opt --valid_targets=arm --optimize_out_type=naive_buffer
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```
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@ -185,16 +185,16 @@ wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_s
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```
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准备测试图像,以`PaddleOCR/doc/imgs/11.jpg`为例,将测试的图像复制到`demo/cxx/ocr/debug/`文件夹下。
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准备lite opt工具优化后的模型文件,比如使用`ch_ppocr_mobile_v2.0_det_slim_opt.nb,ch_ppocr_mobile_v2.0_rec_slim_opt.nb, ch_ppocr_mobile_v2.0_cls_slim_opt.nb`,模型文件放置在`demo/cxx/ocr/debug/`文件夹下。
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准备lite opt工具优化后的模型文件,比如使用`ch_ppocr_mobile_v2.0_det_opt.nb,ch_ppocr_mobile_v2.0_rec_opt.nb, ch_ppocr_mobile_v2.0_cls_opt.nb`,模型文件放置在`demo/cxx/ocr/debug/`文件夹下。
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执行完成后,ocr文件夹下将有如下文件格式:
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```
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demo/cxx/ocr/
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|-- debug/
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| |--ch_ppocr_mobile_v2.0_det_slim_opt.nb 优化后的检测模型文件
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| |--ch_ppocr_mobile_v2.0_rec_slim_opt.nb 优化后的识别模型文件
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| |--ch_ppocr_mobile_v2.0_cls_slim_opt.nb 优化后的文字方向分类器模型文件
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| |--ch_ppocr_mobile_v2.0_det_opt.nb 优化后的检测模型文件
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| |--ch_ppocr_mobile_v2.0_rec_opt.nb 优化后的识别模型文件
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| |--ch_ppocr_mobile_v2.0_cls_opt.nb 优化后的文字方向分类器模型文件
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| |--11.jpg 待测试图像
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| |--ppocr_keys_v1.txt 中文字典文件
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| |--libpaddle_light_api_shared.so C++预测库文件
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@ -248,7 +248,7 @@ use_direction_classify 0 # 是否使用方向分类器,0表示不使用,1
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adb shell
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cd /data/local/tmp/debug
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export LD_LIBRARY_PATH=${PWD}:$LD_LIBRARY_PATH
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./ocr_db_crnn ch_ppocr_mobile_v2.0_det_slim_opt.nbb ch_ppocr_mobile_v2.0_rec_slim_opt.nb ch_ppocr_mobile_v2.0_cls_slim_opt.nb ./11.jpg ppocr_keys_v1.txt
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./ocr_db_crnn ch_ppocr_mobile_v2.0_det_opt.nbb ch_ppocr_mobile_v2.0_rec_opt.nb ch_ppocr_mobile_v2.0_cls_opt.nb ./11.jpg ppocr_keys_v1.txt
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```
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如果对代码做了修改,则需要重新编译并push到手机上。
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@ -124,16 +124,16 @@ The following takes the ultra-lightweight Chinese model of PaddleOCR as an examp
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```
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# [Recommendation] Download the Chinese and English inference model of PaddleOCR V2.0
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wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_slim_infer.tar && tar xf ch_ppocr_mobile_v2.0_det_slim_infer.tar
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wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_slim_infer.tar && tar xf ch_ppocr_mobile_v2.0_rec_slim_infer.tar
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wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_slim_infer.tar && tar xf ch_ppocr_mobile_v2.0_cls_slim_infer.tar
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wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar && tar xf ch_ppocr_mobile_v2.0_det_infer.tar
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wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar && tar xf ch_ppocr_mobile_v2.0_rec_infer.tar
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wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar && tar xf ch_ppocr_mobile_v2.0_cls_infer.tar
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# Convert V2.0 detection model
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./opt --model_file=./ch_ppocr_mobile_v2.0_det_slim_infer/inference.pdmodel --param_file=./ch_ppocr_mobile_v2.0_det_slim_infer/inference.pdiparams --optimize_out=./ch_ppocr_mobile_v2.0_det_slim_opt --valid_targets=arm --optimize_out_type=naive_buffer
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./opt --model_file=./ch_ppocr_mobile_v2.0_det_infer/inference.pdmodel --param_file=./ch_ppocr_mobile_v2.0_det_infer/inference.pdiparams --optimize_out=./ch_ppocr_mobile_v2.0_det_opt --valid_targets=arm --optimize_out_type=naive_buffer
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# 转换V2.0识别模型
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# Convert V2.0 recognition model
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./opt --model_file=./ch_ppocr_mobile_v2.0_rec_slim_infer/inference.pdmodel --param_file=./ch_ppocr_mobile_v2.0_rec_slim_infer/inference.pdiparams --optimize_out=./ch_ppocr_mobile_v2.0_rec_slim_opt --valid_targets=arm --optimize_out_type=naive_buffer
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./opt --model_file=./ch_ppocr_mobile_v2.0_rec_infer/inference.pdmodel --param_file=./ch_ppocr_mobile_v2.0_rec_infer/inference.pdiparams --optimize_out=./ch_ppocr_mobile_v2.0_rec_opt --valid_targets=arm --optimize_out_type=naive_buffer
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# Convert V2.0 angle classifier model
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./opt --model_file=./ch_ppocr_mobile_v2.0_cls_slim_infer/inference.pdmodel --param_file=./ch_ppocr_mobile_v2.0_cls_slim_infer/inference.pdiparams --optimize_out=./ch_ppocr_mobile_v2.0_cls_slim_opt --valid_targets=arm --optimize_out_type=naive_buffer
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./opt --model_file=./ch_ppocr_mobile_v2.0_cls_infer/inference.pdmodel --param_file=./ch_ppocr_mobile_v2.0_cls_infer/inference.pdiparams --optimize_out=./ch_ppocr_mobile_v2.0_cls_opt --valid_targets=arm --optimize_out_type=naive_buffer
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```
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@ -194,9 +194,9 @@ The structure of the OCR demo is as follows after the above command is executed:
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```
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demo/cxx/ocr/
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|-- debug/
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| |--ch_ppocr_mobile_v2.0_det_slim_opt.nb Detection model
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| |--ch_ppocr_mobile_v2.0_rec_slim_opt.nb Recognition model
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| |--ch_ppocr_mobile_v2.0_cls_slim_opt.nb Text direction classification model
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| |--ch_ppocr_mobile_v2.0_det_opt.nb Detection model
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| |--ch_ppocr_mobile_v2.0_rec_opt.nb Recognition model
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| |--ch_ppocr_mobile_v2.0_cls_opt.nb Text direction classification model
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| |--11.jpg Image for OCR
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| |--ppocr_keys_v1.txt Dictionary file
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| |--libpaddle_light_api_shared.so C++ .so file
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@ -248,7 +248,7 @@ After the above steps are completed, you can use adb to push the file to the pho
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adb shell
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cd /data/local/tmp/debug
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export LD_LIBRARY_PATH=${PWD}:$LD_LIBRARY_PATH
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./ocr_db_crnn ch_ppocr_mobile_v2.0_det_slim_opt.nbb ch_ppocr_mobile_v2.0_rec_slim_opt.nb ch_ppocr_mobile_v2.0_cls_slim_opt.nb ./11.jpg ppocr_keys_v1.txt
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./ocr_db_crnn ch_ppocr_mobile_v2.0_det_opt.nbb ch_ppocr_mobile_v2.0_rec_opt.nb ch_ppocr_mobile_v2.0_cls_opt.nb ./11.jpg ppocr_keys_v1.txt
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```
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If you modify the code, you need to recompile and push to the phone.
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