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* Refactor PaddleSeg with preprocessor && postprocessor * Fix bugs * Delete redundancy code * Modify by comments * Refactor according to comments * Add batch evaluation * Add single test script * Add ppliteseg single test script && fix eval(raise) error * fix bug * Fix evaluation segmentation.py batch predict * Fix segmentation evaluation bug * Fix evaluation segmentation bugs * Update segmentation result docs * Update old predict api and DisableNormalizeAndPermute * Update resize segmentation label map with cv::INTER_NEAREST * Add Model Clone function for PaddleClas && PaddleDet && PaddleSeg * Add multi thread demo * Add python model clone function * Add multi thread python && C++ example * Fix bug * Update python && cpp multi_thread examples * Add cpp && python directory * Add README.md for examples * Delete redundant code * Create README_CN.md * Rename README_CN.md to README.md * Update README.md * Update README.md * Update VERSION_NUMBER * Update requirements.txt * Update README.md * update version in doc: * [Serving]Update Dockerfile (#1037) Update Dockerfile * Add license notice for RVM onnx model file (#1060) * [Model] Add GPL-3.0 license (#1065) Add GPL-3.0 license * PPOCR model support model clone * Update README.md * Update PPOCRv2 && PPOCRv3 clone code * Update PPOCR python __init__ * Add multi thread ocr example code * Update README.md * Update README.md * Update ResNet50_vd_infer multi process code * Add PPOCR multi process && thread example * Update README.md * Update README.md * Update multi-thread docs Co-authored-by: Jason <jiangjiajun@baidu.com> Co-authored-by: leiqing <54695910+leiqing1@users.noreply.github.com> Co-authored-by: heliqi <1101791222@qq.com> Co-authored-by: WJJ1995 <wjjisloser@163.com>
3.2 KiB
3.2 KiB
English | 中文
PPOCRv3模型 C++多线程部署示例
本目录下提供multi_thread_ocr.cc
快速完成PPOCRv3系列模型在CPU/GPU,以及GPU上通过TensorRT加速多线程部署的示例。
在部署前,需确认以下两个步骤
-
- 软硬件环境满足要求,参考FastDeploy环境要求
-
- 根据开发环境,下载预编译部署库和samples代码,参考FastDeploy预编译库
以Linux上ResNet50_vd推理为例,在本目录执行如下命令即可完成编译测试,支持此模型需保证FastDeploy版本0.7.0以上(x.x.x>=0.7.0)
mkdir build
cd build
# 下载FastDeploy预编译库,用户可在上文提到的`FastDeploy预编译库`中自行选择合适的版本使用
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-x.x.x.tgz
tar xvf fastdeploy-linux-x64-x.x.x.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-x.x.x
make -j
# 下载模型,图片和字典文件
wget https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar
tar -xvf ch_PP-OCRv3_det_infer.tar
wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar
tar -xvf ch_ppocr_mobile_v2.0_cls_infer.tar
wget https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar
tar -xvf ch_PP-OCRv3_rec_infer.tar
wget https://gitee.com/paddlepaddle/PaddleOCR/raw/release/2.6/doc/imgs/12.jpg
wget https://gitee.com/paddlepaddle/PaddleOCR/raw/release/2.6/ppocr/utils/ppocr_keys_v1.txt
# CPU推理
./multi_thread_demo ./ch_PP-OCRv3_det_infer ./ch_ppocr_mobile_v2.0_cls_infer ./ch_PP-OCRv3_rec_infer ./ppocr_keys_v1.txt ./12.jpg 0 1
# GPU推理
./multi_thread_demo ./ch_PP-OCRv3_det_infer ./ch_ppocr_mobile_v2.0_cls_infer ./ch_PP-OCRv3_rec_infer ./ppocr_keys_v1.txt ./12.jpg 1 1
# GPU上TensorRT推理
./multi_thread_demo ./ch_PP-OCRv3_det_infer ./ch_ppocr_mobile_v2.0_cls_infer ./ch_PP-OCRv3_rec_infer ./ppocr_keys_v1.txt ./12.jpg 2 1
# GPU上Paddle-TRT推理
./multi_thread_demo ./ch_PP-OCRv3_det_infer ./ch_ppocr_mobile_v2.0_cls_infer ./ch_PP-OCRv3_rec_infer ./ppocr_keys_v1.txt ./12.jpg 3 1
# 昆仑芯XPU推理
./multi_thread_demo ./ch_PP-OCRv3_det_infer ./ch_ppocr_mobile_v2.0_cls_infer ./ch_PP-OCRv3_rec_infer ./ppocr_keys_v1.txt ./12.jpg 4 1
>> **注意**: 最后一位数字表示线程数
以上命令只适用于Linux或MacOS, Windows下SDK的使用方式请参考:
- [如何在Windows中使用FastDeploy C++ SDK](../../../docs/cn/faq/use_sdk_on_windows.md)
运行完成后返回结果如下所示
Thread Id: 0 det boxes: 42,413],[483,391],[484,428],[43,450rec text: 上海斯格威铂尔大酒店 rec score:0.980085 cls label: 0 cls score: 1.000000 det boxes: 187,456],[399,448],[400,480],[188,488rec text: 打浦路15号 rec score:0.964993 cls label: 0 cls score: 1.000000 det boxes: 23,507],[513,488],[515,529],[24,548rec text: 绿洲仕格维花园公寓 rec score:0.993727 cls label: 0 cls score: 1.000000 det boxes: 74,553],[427,542],[428,571],[75,582rec text: 打浦路252935号 rec score:0.947723 cls label: 0 cls score: 1.000000