update lite-deme readme, add prepare.sh
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#!/bin/bash
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mkdir -p $1/demo/cxx/ocr/debug/
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cp ../../ppocr/utils/ppocr_keys_v1.txt $1/demo/cxx/ocr/debug/
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cp -r ./* $1/demo/cxx/ocr/
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cp ./config.txt $1/demo/cxx/ocr/debug/
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cp ../../doc/imgs/11.jpg $1/demo/cxx/ocr/debug/
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echo "Prepare Done"
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@ -168,17 +168,21 @@ wget https://paddleocr.bj.bcebos.com/ch_models/ch_rec_mv3_crnn_infer.tar && tar
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```
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4. 准备优化后的模型、预测库文件、测试图像和使用的字典文件。
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在预测库`inference_lite_lib.android.armv8/demo/cxx/`下新建一个`ocr/`文件夹，
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将PaddleOCR repo中`PaddleOCR/deploy/lite/` 下的除`readme.md`所有文件放在新建的ocr文件夹下。在`ocr`文件夹下新建一个`debug`文件夹，
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将C++预测库so文件复制到debug文件夹下。
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```
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```
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git clone https://github.com/PaddlePaddle/PaddleOCR.git
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cd PaddleOCR/deploy/lite/
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# 运行prepare.sh，准备预测库文件、测试图像和使用的字典文件，并放置在预测库中的demo/cxx/ocr文件夹下
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sh prepare.sh /{lite prediction library path}/inference_lite_lib.android.armv8
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# 进入OCR demo的工作目录
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cd /{lite prediction library path}/inference_lite_lib.android.armv8/
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cd demo/cxx/ocr/
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# 将C++预测动态库so文件复制到debug文件夹中
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cp ../../../cxx/lib/libpaddle_light_api_shared.so ./debug/
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```
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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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准备字典文件，中文超轻量模型的字典文件是`PaddleOCR/ppocr/utils/ppocr_keys_v1.txt`，将其复制到`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，`ch_det_mv3_db_opt.nb，ch_rec_mv3_crnn_opt.nb`，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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@ -125,20 +125,50 @@ When the above code command is completed, there will be two more files `ch_det_m
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If there is `device` output, it means the installation was successful.
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4. Prepare optimized models, prediction library files, test images and dictionary files used. Create a new `ocr/` folder under the prediction library `inference_lite_lib.android.armv8/demo/cxx/`, and place all the files under `PaddleOCR/deploy/lite/` in the PaddleOCR repo except `readme.md` under the newly created ocr folder. Create a new debug folder under the ocr folder, and copy the C++ prediction library so file to the debug folder
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4. Prepare optimized models, prediction library files, test images and dictionary files used.
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```
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git clone https://github.com/PaddlePaddle/PaddleOCR.git
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cd PaddleOCR/deploy/lite/
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# run prepare.sh
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sh prepare.sh /{lite prediction library path}/inference_lite_lib.android.armv8
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#
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cd /{lite prediction library path}/inference_lite_lib.android.armv8/
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cd demo/cxx/ocr/
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# copy paddle-lite C++ .so file to debug/ directory
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cp ../../../cxx/lib/libpaddle_light_api_shared.so ./debug/
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cd inference_lite_lib.android.armv8/demo/cxx/ocr/
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cp ../../../cxx/lib/libpaddle_light_api_shared.so ./debug/
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```
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cd inference_lite_lib.android.armv8/demo/cxx/ocr/
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cp ../../../cxx/lib/libpaddle_light_api_shared.so ./debug/
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Prepare the test image, taking `PaddleOCR/doc/imgs/11.jpg` as an example, copy the image file to the `demo/cxx/ocr/debug/` folder.
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Prepare the model files optimized by the lite opt tool, `ch_det_mv3_db_opt.nb, ch_rec_mv3_crnn_opt.nb`,
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and place them under the `demo/cxx/ocr/debug/` folder.
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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_det_mv3_db_opt.nb Detection model
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| |--ch_rec_mv3_crnn_opt.nb Recognition 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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| |--config.txt Config file
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|-- config.txt
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|-- crnn_process.cc
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|-- crnn_process.h
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|-- db_post_process.cc
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|-- db_post_process.h
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|-- Makefile
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|-- ocr_db_crnn.cc
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```
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Prepare the test image, taking `PaddleOCR/doc/imgs/11.jpg` as an example, copy the image file to the `demo/cxx/ocr/debug/` folder. The dictionary file for the Chinese super lightweight model is `PaddleOCR/ppocr/utils/ppocr_keys_v1.txt`, and copy it to the `demo/cxx/ocr/debug/` folder.
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After the execution is completed, the following file formats will be in the ocr folder:
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5. Run Model on phone
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```
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