From 5ee76b9e531fb5be2d53ffba94dca1aedf8bf07f Mon Sep 17 00:00:00 2001 From: zhoujun <572459439@qq.com> Date: Tue, 25 May 2021 21:18:55 +0800 Subject: [PATCH 01/31] Update models_list_en.md --- doc/doc_en/models_list_en.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/doc/doc_en/models_list_en.md b/doc/doc_en/models_list_en.md index 54ee7576..990263ba 100644 --- a/doc/doc_en/models_list_en.md +++ b/doc/doc_en/models_list_en.md @@ -103,14 +103,14 @@ python3 generate_multi_language_configs.py -l it \ | german_mobile_v2.0_rec | ppocr/utils/dict/german_dict.txt | Lightweight model for German recognition|[rec_german_lite_train.yml](../../configs/rec/multi_language/rec_german_lite_train.yml)|2.65M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/german_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/german_mobile_v2.0_rec_train.tar) | | korean_mobile_v2.0_rec | ppocr/utils/dict/korean_dict.txt | Lightweight model for Korean recognition|[rec_korean_lite_train.yml](../../configs/rec/multi_language/rec_korean_lite_train.yml)|3.9M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/korean_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/korean_mobile_v2.0_rec_train.tar) | | japan_mobile_v2.0_rec | ppocr/utils/dict/japan_dict.txt | Lightweight model for Japanese recognition|[rec_japan_lite_train.yml](../../configs/rec/multi_language/rec_japan_lite_train.yml)|4.23M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/japan_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/japan_mobile_v2.0_rec_train.tar) | -| chinese_cht_mobile_v2.0_rec | ppocr/utils/dict/chinese_cht_dict.txt | Lightweight model for chinese cht recognition|rec_chinese_cht_lite_train.yml|5.63M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/chinese_cht_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/chinese_cht_mobile_v2.0_rec_train.tar) | +| chinese_cht_mobile_v2.0_rec | ppocr/utils/dict/chinese_cht_dict.txt | Lightweight model for chinese cht recognition|rec_chinese_cht_lite_train.yml|5.63M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/chinese_cht_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/chinese_cht_mobile_v2.0_rec_train.tar) | | te_mobile_v2.0_rec | ppocr/utils/dict/te_dict.txt | Lightweight model for Telugu recognition|rec_te_lite_train.yml|2.63M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/te_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/te_mobile_v2.0_rec_train.tar) | | ka_mobile_v2.0_rec | ppocr/utils/dict/ka_dict.txt | Lightweight model for Kannada recognition|rec_ka_lite_train.yml|2.63M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ka_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ka_mobile_v2.0_rec_train.tar) | | ta_mobile_v2.0_rec | ppocr/utils/dict/ta_dict.txt | Lightweight model for Tamil recognition|rec_ta_lite_train.yml|2.63M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ta_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/ta_mobile_v2.0_rec_train.tar) | -| latin_mobile_v2.0_rec | ppocr/utils/dict/latin_dict.txt | Lightweight model for latin recognition | [rec_latin_lite_train.yml](../../configs/rec/multi_language/rec_latin_lite_train.yml) |2.6M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/latin_ppocr_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/latin_ppocr_mobile_v2.0_rec_train.tar) | -| arabic_mobile_v2.0_rec | ppocr/utils/dict/arabic_dict.txt | Lightweight model for arabic recognition | [rec_arabic_lite_train.yml](../../configs/rec/multi_language/rec_arabic_lite_train.yml) |2.6M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/arabic_ppocr_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/arabic_ppocr_mobile_v2.0_rec_train.tar) | -| cyrillic_mobile_v2.0_rec | ppocr/utils/dict/cyrillic_dict.txt | Lightweight model for cyrillic recognition | [rec_cyrillic_lite_train.yml](../../configs/rec/multi_language/rec_cyrillic_lite_train.yml) |2.6M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/cyrillic_ppocr_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/cyrillic_ppocr_mobile_v2.0_rec_train.tar) | -| devanagari_mobile_v2.0_rec | ppocr/utils/dict/devanagari_dict.txt | Lightweight model for devanagari recognition | [rec_devanagari_lite_train.yml](../../configs/rec/multi_language/rec_devanagari_lite_train.yml) |2.6M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/devanagari_ppocr_mobile_v2.0_rec_infer.tar) / [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/devanagari_ppocr_mobile_v2.0_rec_train.tar) | +| latin_mobile_v2.0_rec | ppocr/utils/dict/latin_dict.txt | Lightweight model for latin recognition | [rec_latin_lite_train.yml](../../configs/rec/multi_language/rec_latin_lite_train.yml) |2.6M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/latin_ppocr_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/latin_ppocr_mobile_v2.0_rec_train.tar) | +| arabic_mobile_v2.0_rec | ppocr/utils/dict/arabic_dict.txt | Lightweight model for arabic recognition | [rec_arabic_lite_train.yml](../../configs/rec/multi_language/rec_arabic_lite_train.yml) |2.6M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/arabic_ppocr_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/arabic_ppocr_mobile_v2.0_rec_train.tar) | +| cyrillic_mobile_v2.0_rec | ppocr/utils/dict/cyrillic_dict.txt | Lightweight model for cyrillic recognition | [rec_cyrillic_lite_train.yml](../../configs/rec/multi_language/rec_cyrillic_lite_train.yml) |2.6M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/cyrillic_ppocr_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/cyrillic_ppocr_mobile_v2.0_rec_train.tar) | +| devanagari_mobile_v2.0_rec | ppocr/utils/dict/devanagari_dict.txt | Lightweight model for devanagari recognition | [rec_devanagari_lite_train.yml](../../configs/rec/multi_language/rec_devanagari_lite_train.yml) |2.6M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/devanagari_ppocr_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/multilingual/devanagari_ppocr_mobile_v2.0_rec_train.tar) | For more supported languages, please refer to : [Multi-language model](./multi_languages_en.md) @@ -126,5 +126,5 @@ For more supported languages, please refer to : [Multi-language model](./multi_l ### 4. Paddle-Lite Model |Version|Introduction|Model size|Detection model|Text Direction model|Recognition model|Paddle-Lite branch| |---|---|---|---|---|---|---| -|V2.0|extra-lightweight chinese OCR optimized model|7.8M|[download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_det_opt.nb)|[download lin](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_cls_opt.nb)|[download lin](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_rec_opt.nb)|v2.9| -|V2.0(slim)|extra-lightweight chinese OCR optimized model|3.3M|[下载地址](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_det_slim_opt.nb)|[下载地址](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_cls_slim_opt.nb)|[下载地址](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_rec_slim_opt.nb)|v2.9| +|V2.0|extra-lightweight chinese OCR optimized model|7.8M|[download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_det_opt.nb)|[download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_cls_opt.nb)|[download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_rec_opt.nb)|v2.9| +|V2.0(slim)|extra-lightweight chinese OCR optimized model|3.3M|[download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_det_slim_opt.nb)|[download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_cls_slim_opt.nb)|[download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_rec_slim_opt.nb)|v2.9| From 66ff8afb03769056323ed8606b61bc86a661221e Mon Sep 17 00:00:00 2001 From: zhoujun <572459439@qq.com> Date: Tue, 25 May 2021 21:27:25 +0800 Subject: [PATCH 02/31] Update readme_en.md --- deploy/lite/readme_en.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/deploy/lite/readme_en.md b/deploy/lite/readme_en.md index ec36de35..2c04c567 100644 --- a/deploy/lite/readme_en.md +++ b/deploy/lite/readme_en.md @@ -6,7 +6,7 @@ paddle-lite is a lightweight inference engine for PaddlePaddle. It provides effi ## 1. Preparation -### 运行准备 +### Preparation environment - Computer (for Compiling Paddle Lite) - Mobile phone (arm7 or arm8) @@ -87,8 +87,8 @@ The following table also provides a series of models that can be deployed on mob |Version|Introduction|Model size|Detection model|Text Direction model|Recognition model|Paddle-Lite branch| |---|---|---|---|---|---|---| -|V2.0|extra-lightweight chinese OCR optimized model|7.8M|[download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_det_opt.nb)|[download lin](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_cls_opt.nb)|[download lin](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_rec_opt.nb)|v2.9| -|V2.0(slim)|extra-lightweight chinese OCR optimized model|3.3M|[下载地址](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_det_slim_opt.nb)|[下载地址](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_cls_slim_opt.nb)|[下载地址](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_rec_slim_opt.nb)|v2.9| +|V2.0|extra-lightweight chinese OCR optimized model|7.8M|[download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_det_opt.nb)|[download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_cls_opt.nb)|[download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_rec_opt.nb)|v2.9| +|V2.0(slim)|extra-lightweight chinese OCR optimized model|3.3M|[download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_det_slim_opt.nb)|[download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_cls_slim_opt.nb)|[download link](https://paddleocr.bj.bcebos.com/dygraph_v2.0/lite/ch_ppocr_mobile_v2.0_rec_slim_opt.nb)|v2.9| If you directly use the model in the above table for deployment, you can skip the following steps and directly read [Section 2.2](#2.2 Run optimized model on Phone). From 4ae833c519d445c8cad417b1abdf7b3c5bb8ab8b Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 26 May 2021 06:49:17 +0000 Subject: [PATCH 03/31] support directory predict --- deploy/cpp_infer/include/utility.h | 3 ++ deploy/cpp_infer/src/main.cpp | 52 +++++++++++++++++++----------- deploy/cpp_infer/src/ocr_rec.cpp | 4 +++ deploy/cpp_infer/src/utility.cpp | 39 ++++++++++++++++++++-- deploy/cpp_infer/tools/build.sh | 13 +++++--- deploy/cpp_infer/tools/config.txt | 6 ++-- deploy/cpp_infer/tools/run.sh | 2 +- 7 files changed, 90 insertions(+), 29 deletions(-) diff --git a/deploy/cpp_infer/include/utility.h b/deploy/cpp_infer/include/utility.h index 367e37e4..6e8173e0 100644 --- a/deploy/cpp_infer/include/utility.h +++ b/deploy/cpp_infer/include/utility.h @@ -44,6 +44,9 @@ public: inline static size_t argmax(ForwardIterator first, ForwardIterator last) { return std::distance(first, std::max_element(first, last)); } + + static void GetAllFiles(const char *dir_name, + std::vector &all_inputs); }; } // namespace PaddleOCR \ No newline at end of file diff --git a/deploy/cpp_infer/src/main.cpp b/deploy/cpp_infer/src/main.cpp index 588c8374..96b5e895 100644 --- a/deploy/cpp_infer/src/main.cpp +++ b/deploy/cpp_infer/src/main.cpp @@ -27,9 +27,12 @@ #include #include +#include #include #include #include +#include +#include using namespace std; using namespace cv; @@ -47,13 +50,9 @@ int main(int argc, char **argv) { config.PrintConfigInfo(); std::string img_path(argv[2]); - - cv::Mat srcimg = cv::imread(img_path, cv::IMREAD_COLOR); - - if (!srcimg.data) { - std::cerr << "[ERROR] image read failed! image path: " << img_path << "\n"; - exit(1); - } + std::vector all_img_names; + // cv::Mat srcimg = cv::imread(img_path, cv::IMREAD_COLOR); + Utility::GetAllFiles((char *)img_path.c_str(), all_img_names); DBDetector det(config.det_model_dir, config.use_gpu, config.gpu_id, config.gpu_mem, config.cpu_math_library_num_threads, @@ -76,18 +75,35 @@ int main(int argc, char **argv) { config.use_tensorrt, config.use_fp16); auto start = std::chrono::system_clock::now(); - std::vector>> boxes; - det.Run(srcimg, boxes); - rec.Run(boxes, srcimg, cls); - auto end = std::chrono::system_clock::now(); - auto duration = - std::chrono::duration_cast(end - start); - std::cout << "Cost " - << double(duration.count()) * - std::chrono::microseconds::period::num / - std::chrono::microseconds::period::den - << "s" << std::endl; + for (auto img_dir : all_img_names) { + LOG(INFO) << "The predict img: " << img_dir; + + cv::Mat srcimg = cv::imread(img_dir, cv::IMREAD_COLOR); + if (!srcimg.data) { + std::cerr << "[ERROR] image read failed! image path: " << img_path + << "\n"; + exit(1); + } + std::vector>> boxes; + + det.Run(srcimg, boxes); + // for (auto box : boxes){ + // std::cout << "box: " << box[0][0] << " " << box[0][1] << " " + // << box[1][0] << " " << box[1][1] << " " + // << box[2][0] << " " << box[2][1] << " " + // << box[3][0] << " " << box[3][1] << " " << std::endl; + // } + rec.Run(boxes, srcimg, cls); + auto end = std::chrono::system_clock::now(); + auto duration = + std::chrono::duration_cast(end - start); + std::cout << "Cost " + << double(duration.count()) * + std::chrono::microseconds::period::num / + std::chrono::microseconds::period::den + << "s" << std::endl; + } return 0; } diff --git a/deploy/cpp_infer/src/ocr_rec.cpp b/deploy/cpp_infer/src/ocr_rec.cpp index 76873dad..29b5618c 100644 --- a/deploy/cpp_infer/src/ocr_rec.cpp +++ b/deploy/cpp_infer/src/ocr_rec.cpp @@ -88,6 +88,10 @@ void CRNNRecognizer::Run(std::vector>> boxes, std::cout << str_res[i]; } std::cout << "\tscore: " << score << std::endl; + auto box = boxes[i]; + std::cout << "box: " << box[0][0] << " " << box[0][1] << " " << box[1][0] + << " " << box[1][1] << " " << box[2][0] << " " << box[2][1] + << " " << box[3][0] << " " << box[3][1] << " " << std::endl; } } diff --git a/deploy/cpp_infer/src/utility.cpp b/deploy/cpp_infer/src/utility.cpp index c1c9d938..2cd84f7e 100644 --- a/deploy/cpp_infer/src/utility.cpp +++ b/deploy/cpp_infer/src/utility.cpp @@ -12,12 +12,14 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include +#include #include #include +#include +#include #include -#include - namespace PaddleOCR { std::vector Utility::ReadDict(const std::string &path) { @@ -57,4 +59,37 @@ void Utility::VisualizeBboxes( << std::endl; } +// list all files under a directory +void Utility::GetAllFiles(const char *dir_name, + std::vector &all_inputs) { + if (NULL == dir_name) { + std::cout << " dir_name is null ! " << std::endl; + return; + } + struct stat s; + lstat(dir_name, &s); + if (!S_ISDIR(s.st_mode)) { + std::cout << "dir_name is not a valid directory !" << std::endl; + all_inputs.push_back(dir_name); + return; + } else { + struct dirent *filename; // return value for readdir() + DIR *dir; // return value for opendir() + dir = opendir(dir_name); + if (NULL == dir) { + std::cout << "Can not open dir " << dir_name << std::endl; + return; + } + std::cout << "Successfully opened the dir !" << std::endl; + while ((filename = readdir(dir)) != NULL) { + if (strcmp(filename->d_name, ".") == 0 || + strcmp(filename->d_name, "..") == 0) + continue; + // img_dir + std::string("/") + all_inputs[0]; + all_inputs.push_back(dir_name + std::string("/") + + std::string(filename->d_name)); + } + } +} + } // namespace PaddleOCR \ No newline at end of file diff --git a/deploy/cpp_infer/tools/build.sh b/deploy/cpp_infer/tools/build.sh index 60653948..0c99f0e9 100755 --- a/deploy/cpp_infer/tools/build.sh +++ b/deploy/cpp_infer/tools/build.sh @@ -1,7 +1,9 @@ -OPENCV_DIR=your_opencv_dir -LIB_DIR=your_paddle_inference_dir -CUDA_LIB_DIR=your_cuda_lib_dir -CUDNN_LIB_DIR=your_cudnn_lib_dir +OPENCV_DIR=/paddle/Paddle/opencv-3.4.7/opencv3 +LIB_DIR=/paddle/OCR/debug/paddle_inference +#LIB_DIR=/paddle/Paddle/inference/2.0.2/paddle_inference +CUDA_LIB_DIR=/usr/local/cuda/lib64 +CUDNN_LIB_DIR=/usr/lib/x86_64-linux-gnu +TENSORRT_DIR=/paddle/Paddle/package/TensorRT/TensorRT-6.0.1.5/ BUILD_DIR=build rm -rf ${BUILD_DIR} @@ -12,9 +14,10 @@ cmake .. \ -DWITH_MKL=ON \ -DWITH_GPU=OFF \ -DWITH_STATIC_LIB=OFF \ - -DUSE_TENSORRT=OFF \ + -DWITH_TENSORRT=ON \ -DOPENCV_DIR=${OPENCV_DIR} \ -DCUDNN_LIB=${CUDNN_LIB_DIR} \ -DCUDA_LIB=${CUDA_LIB_DIR} \ + -DTENSORRT_DIR=${TENSORRT_DIR} \ make -j diff --git a/deploy/cpp_infer/tools/config.txt b/deploy/cpp_infer/tools/config.txt index 0e5f8472..9715fab3 100644 --- a/deploy/cpp_infer/tools/config.txt +++ b/deploy/cpp_infer/tools/config.txt @@ -1,5 +1,5 @@ # model load config -use_gpu 0 +use_gpu 1 gpu_id 0 gpu_mem 4000 cpu_math_library_num_threads 10 @@ -20,10 +20,10 @@ cls_thresh 0.9 # rec config rec_model_dir ./inference/ch_ppocr_mobile_v2.0_rec_infer/ -char_list_file ../../ppocr/utils/ppocr_keys_v1.txt +char_list_file ../../ppocr/utils/ppocr_keys_v1.txt # show the detection results -visualize 1 +visualize 0 # use_tensorrt use_tensorrt 0 diff --git a/deploy/cpp_infer/tools/run.sh b/deploy/cpp_infer/tools/run.sh index fa61da75..73118b71 100755 --- a/deploy/cpp_infer/tools/run.sh +++ b/deploy/cpp_infer/tools/run.sh @@ -1,2 +1,2 @@ -./build/ocr_system ./tools/config.txt ../../doc/imgs/12.jpg +./build/ocr_system ./tools/config.txt ../../doc/imgs/ From 2ab0ba91e491c5ad5b7a547966163d97bfb3bd73 Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 26 May 2021 06:50:02 +0000 Subject: [PATCH 04/31] delete debug code --- deploy/cpp_infer/src/ocr_rec.cpp | 179 +++++++++++++++---------------- 1 file changed, 87 insertions(+), 92 deletions(-) diff --git a/deploy/cpp_infer/src/ocr_rec.cpp b/deploy/cpp_infer/src/ocr_rec.cpp index 29b5618c..cd0e94d2 100644 --- a/deploy/cpp_infer/src/ocr_rec.cpp +++ b/deploy/cpp_infer/src/ocr_rec.cpp @@ -88,103 +88,98 @@ void CRNNRecognizer::Run(std::vector>> boxes, std::cout << str_res[i]; } std::cout << "\tscore: " << score << std::endl; - auto box = boxes[i]; - std::cout << "box: " << box[0][0] << " " << box[0][1] << " " << box[1][0] - << " " << box[1][1] << " " << box[2][0] << " " << box[2][1] - << " " << box[3][0] << " " << box[3][1] << " " << std::endl; } -} -void CRNNRecognizer::LoadModel(const std::string &model_dir) { - // AnalysisConfig config; - paddle_infer::Config config; - config.SetModel(model_dir + "/inference.pdmodel", - model_dir + "/inference.pdiparams"); + void CRNNRecognizer::LoadModel(const std::string &model_dir) { + // AnalysisConfig config; + paddle_infer::Config config; + config.SetModel(model_dir + "/inference.pdmodel", + model_dir + "/inference.pdiparams"); - if (this->use_gpu_) { - config.EnableUseGpu(this->gpu_mem_, this->gpu_id_); - if (this->use_tensorrt_) { - config.EnableTensorRtEngine( - 1 << 20, 10, 3, - this->use_fp16_ ? paddle_infer::Config::Precision::kHalf - : paddle_infer::Config::Precision::kFloat32, - false, false); + if (this->use_gpu_) { + config.EnableUseGpu(this->gpu_mem_, this->gpu_id_); + if (this->use_tensorrt_) { + config.EnableTensorRtEngine( + 1 << 20, 10, 3, + this->use_fp16_ ? paddle_infer::Config::Precision::kHalf + : paddle_infer::Config::Precision::kFloat32, + false, false); + } + } else { + config.DisableGpu(); + if (this->use_mkldnn_) { + config.EnableMKLDNN(); + // cache 10 different shapes for mkldnn to avoid memory leak + config.SetMkldnnCacheCapacity(10); + } + config.SetCpuMathLibraryNumThreads(this->cpu_math_library_num_threads_); } - } else { - config.DisableGpu(); - if (this->use_mkldnn_) { - config.EnableMKLDNN(); - // cache 10 different shapes for mkldnn to avoid memory leak - config.SetMkldnnCacheCapacity(10); + + config.SwitchUseFeedFetchOps(false); + // true for multiple input + config.SwitchSpecifyInputNames(true); + + config.SwitchIrOptim(true); + + config.EnableMemoryOptim(); + config.DisableGlogInfo(); + + this->predictor_ = CreatePredictor(config); + } + + cv::Mat CRNNRecognizer::GetRotateCropImage( + const cv::Mat &srcimage, std::vector> box) { + cv::Mat image; + srcimage.copyTo(image); + std::vector> points = box; + + int x_collect[4] = {box[0][0], box[1][0], box[2][0], box[3][0]}; + int y_collect[4] = {box[0][1], box[1][1], box[2][1], box[3][1]}; + int left = int(*std::min_element(x_collect, x_collect + 4)); + int right = int(*std::max_element(x_collect, x_collect + 4)); + int top = int(*std::min_element(y_collect, y_collect + 4)); + int bottom = int(*std::max_element(y_collect, y_collect + 4)); + + cv::Mat img_crop; + image(cv::Rect(left, top, right - left, bottom - top)).copyTo(img_crop); + + for (int i = 0; i < points.size(); i++) { + points[i][0] -= left; + points[i][1] -= top; + } + + int img_crop_width = int(sqrt(pow(points[0][0] - points[1][0], 2) + + pow(points[0][1] - points[1][1], 2))); + int img_crop_height = int(sqrt(pow(points[0][0] - points[3][0], 2) + + pow(points[0][1] - points[3][1], 2))); + + cv::Point2f pts_std[4]; + pts_std[0] = cv::Point2f(0., 0.); + pts_std[1] = cv::Point2f(img_crop_width, 0.); + pts_std[2] = cv::Point2f(img_crop_width, img_crop_height); + pts_std[3] = cv::Point2f(0.f, img_crop_height); + + cv::Point2f pointsf[4]; + pointsf[0] = cv::Point2f(points[0][0], points[0][1]); + pointsf[1] = cv::Point2f(points[1][0], points[1][1]); + pointsf[2] = cv::Point2f(points[2][0], points[2][1]); + pointsf[3] = cv::Point2f(points[3][0], points[3][1]); + + cv::Mat M = cv::getPerspectiveTransform(pointsf, pts_std); + + cv::Mat dst_img; + cv::warpPerspective(img_crop, dst_img, M, + cv::Size(img_crop_width, img_crop_height), + cv::BORDER_REPLICATE); + + if (float(dst_img.rows) >= float(dst_img.cols) * 1.5) { + cv::Mat srcCopy = cv::Mat(dst_img.rows, dst_img.cols, dst_img.depth()); + cv::transpose(dst_img, srcCopy); + cv::flip(srcCopy, srcCopy, 0); + return srcCopy; + } else { + return dst_img; } - config.SetCpuMathLibraryNumThreads(this->cpu_math_library_num_threads_); } - config.SwitchUseFeedFetchOps(false); - // true for multiple input - config.SwitchSpecifyInputNames(true); - - config.SwitchIrOptim(true); - - config.EnableMemoryOptim(); - config.DisableGlogInfo(); - - this->predictor_ = CreatePredictor(config); -} - -cv::Mat CRNNRecognizer::GetRotateCropImage(const cv::Mat &srcimage, - std::vector> box) { - cv::Mat image; - srcimage.copyTo(image); - std::vector> points = box; - - int x_collect[4] = {box[0][0], box[1][0], box[2][0], box[3][0]}; - int y_collect[4] = {box[0][1], box[1][1], box[2][1], box[3][1]}; - int left = int(*std::min_element(x_collect, x_collect + 4)); - int right = int(*std::max_element(x_collect, x_collect + 4)); - int top = int(*std::min_element(y_collect, y_collect + 4)); - int bottom = int(*std::max_element(y_collect, y_collect + 4)); - - cv::Mat img_crop; - image(cv::Rect(left, top, right - left, bottom - top)).copyTo(img_crop); - - for (int i = 0; i < points.size(); i++) { - points[i][0] -= left; - points[i][1] -= top; - } - - int img_crop_width = int(sqrt(pow(points[0][0] - points[1][0], 2) + - pow(points[0][1] - points[1][1], 2))); - int img_crop_height = int(sqrt(pow(points[0][0] - points[3][0], 2) + - pow(points[0][1] - points[3][1], 2))); - - cv::Point2f pts_std[4]; - pts_std[0] = cv::Point2f(0., 0.); - pts_std[1] = cv::Point2f(img_crop_width, 0.); - pts_std[2] = cv::Point2f(img_crop_width, img_crop_height); - pts_std[3] = cv::Point2f(0.f, img_crop_height); - - cv::Point2f pointsf[4]; - pointsf[0] = cv::Point2f(points[0][0], points[0][1]); - pointsf[1] = cv::Point2f(points[1][0], points[1][1]); - pointsf[2] = cv::Point2f(points[2][0], points[2][1]); - pointsf[3] = cv::Point2f(points[3][0], points[3][1]); - - cv::Mat M = cv::getPerspectiveTransform(pointsf, pts_std); - - cv::Mat dst_img; - cv::warpPerspective(img_crop, dst_img, M, - cv::Size(img_crop_width, img_crop_height), - cv::BORDER_REPLICATE); - - if (float(dst_img.rows) >= float(dst_img.cols) * 1.5) { - cv::Mat srcCopy = cv::Mat(dst_img.rows, dst_img.cols, dst_img.depth()); - cv::transpose(dst_img, srcCopy); - cv::flip(srcCopy, srcCopy, 0); - return srcCopy; - } else { - return dst_img; - } -} - } // namespace PaddleOCR From 947470a3b21aaef7006670deb5d2abe3cc2e348a Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 26 May 2021 06:55:34 +0000 Subject: [PATCH 05/31] fix error --- deploy/cpp_infer/src/ocr_rec.cpp | 159 ++++++++++++++++--------------- 1 file changed, 80 insertions(+), 79 deletions(-) diff --git a/deploy/cpp_infer/src/ocr_rec.cpp b/deploy/cpp_infer/src/ocr_rec.cpp index cd0e94d2..76873dad 100644 --- a/deploy/cpp_infer/src/ocr_rec.cpp +++ b/deploy/cpp_infer/src/ocr_rec.cpp @@ -89,97 +89,98 @@ void CRNNRecognizer::Run(std::vector>> boxes, } std::cout << "\tscore: " << score << std::endl; } +} - void CRNNRecognizer::LoadModel(const std::string &model_dir) { - // AnalysisConfig config; - paddle_infer::Config config; - config.SetModel(model_dir + "/inference.pdmodel", - model_dir + "/inference.pdiparams"); +void CRNNRecognizer::LoadModel(const std::string &model_dir) { + // AnalysisConfig config; + paddle_infer::Config config; + config.SetModel(model_dir + "/inference.pdmodel", + model_dir + "/inference.pdiparams"); - if (this->use_gpu_) { - config.EnableUseGpu(this->gpu_mem_, this->gpu_id_); - if (this->use_tensorrt_) { - config.EnableTensorRtEngine( - 1 << 20, 10, 3, - this->use_fp16_ ? paddle_infer::Config::Precision::kHalf - : paddle_infer::Config::Precision::kFloat32, - false, false); - } - } else { - config.DisableGpu(); - if (this->use_mkldnn_) { - config.EnableMKLDNN(); - // cache 10 different shapes for mkldnn to avoid memory leak - config.SetMkldnnCacheCapacity(10); - } - config.SetCpuMathLibraryNumThreads(this->cpu_math_library_num_threads_); + if (this->use_gpu_) { + config.EnableUseGpu(this->gpu_mem_, this->gpu_id_); + if (this->use_tensorrt_) { + config.EnableTensorRtEngine( + 1 << 20, 10, 3, + this->use_fp16_ ? paddle_infer::Config::Precision::kHalf + : paddle_infer::Config::Precision::kFloat32, + false, false); } - - config.SwitchUseFeedFetchOps(false); - // true for multiple input - config.SwitchSpecifyInputNames(true); - - config.SwitchIrOptim(true); - - config.EnableMemoryOptim(); - config.DisableGlogInfo(); - - this->predictor_ = CreatePredictor(config); + } else { + config.DisableGpu(); + if (this->use_mkldnn_) { + config.EnableMKLDNN(); + // cache 10 different shapes for mkldnn to avoid memory leak + config.SetMkldnnCacheCapacity(10); + } + config.SetCpuMathLibraryNumThreads(this->cpu_math_library_num_threads_); } - cv::Mat CRNNRecognizer::GetRotateCropImage( - const cv::Mat &srcimage, std::vector> box) { - cv::Mat image; - srcimage.copyTo(image); - std::vector> points = box; + config.SwitchUseFeedFetchOps(false); + // true for multiple input + config.SwitchSpecifyInputNames(true); - int x_collect[4] = {box[0][0], box[1][0], box[2][0], box[3][0]}; - int y_collect[4] = {box[0][1], box[1][1], box[2][1], box[3][1]}; - int left = int(*std::min_element(x_collect, x_collect + 4)); - int right = int(*std::max_element(x_collect, x_collect + 4)); - int top = int(*std::min_element(y_collect, y_collect + 4)); - int bottom = int(*std::max_element(y_collect, y_collect + 4)); + config.SwitchIrOptim(true); - cv::Mat img_crop; - image(cv::Rect(left, top, right - left, bottom - top)).copyTo(img_crop); + config.EnableMemoryOptim(); + config.DisableGlogInfo(); - for (int i = 0; i < points.size(); i++) { - points[i][0] -= left; - points[i][1] -= top; - } + this->predictor_ = CreatePredictor(config); +} - int img_crop_width = int(sqrt(pow(points[0][0] - points[1][0], 2) + - pow(points[0][1] - points[1][1], 2))); - int img_crop_height = int(sqrt(pow(points[0][0] - points[3][0], 2) + - pow(points[0][1] - points[3][1], 2))); +cv::Mat CRNNRecognizer::GetRotateCropImage(const cv::Mat &srcimage, + std::vector> box) { + cv::Mat image; + srcimage.copyTo(image); + std::vector> points = box; - cv::Point2f pts_std[4]; - pts_std[0] = cv::Point2f(0., 0.); - pts_std[1] = cv::Point2f(img_crop_width, 0.); - pts_std[2] = cv::Point2f(img_crop_width, img_crop_height); - pts_std[3] = cv::Point2f(0.f, img_crop_height); + int x_collect[4] = {box[0][0], box[1][0], box[2][0], box[3][0]}; + int y_collect[4] = {box[0][1], box[1][1], box[2][1], box[3][1]}; + int left = int(*std::min_element(x_collect, x_collect + 4)); + int right = int(*std::max_element(x_collect, x_collect + 4)); + int top = int(*std::min_element(y_collect, y_collect + 4)); + int bottom = int(*std::max_element(y_collect, y_collect + 4)); - cv::Point2f pointsf[4]; - pointsf[0] = cv::Point2f(points[0][0], points[0][1]); - pointsf[1] = cv::Point2f(points[1][0], points[1][1]); - pointsf[2] = cv::Point2f(points[2][0], points[2][1]); - pointsf[3] = cv::Point2f(points[3][0], points[3][1]); + cv::Mat img_crop; + image(cv::Rect(left, top, right - left, bottom - top)).copyTo(img_crop); - cv::Mat M = cv::getPerspectiveTransform(pointsf, pts_std); - - cv::Mat dst_img; - cv::warpPerspective(img_crop, dst_img, M, - cv::Size(img_crop_width, img_crop_height), - cv::BORDER_REPLICATE); - - if (float(dst_img.rows) >= float(dst_img.cols) * 1.5) { - cv::Mat srcCopy = cv::Mat(dst_img.rows, dst_img.cols, dst_img.depth()); - cv::transpose(dst_img, srcCopy); - cv::flip(srcCopy, srcCopy, 0); - return srcCopy; - } else { - return dst_img; - } + for (int i = 0; i < points.size(); i++) { + points[i][0] -= left; + points[i][1] -= top; } + int img_crop_width = int(sqrt(pow(points[0][0] - points[1][0], 2) + + pow(points[0][1] - points[1][1], 2))); + int img_crop_height = int(sqrt(pow(points[0][0] - points[3][0], 2) + + pow(points[0][1] - points[3][1], 2))); + + cv::Point2f pts_std[4]; + pts_std[0] = cv::Point2f(0., 0.); + pts_std[1] = cv::Point2f(img_crop_width, 0.); + pts_std[2] = cv::Point2f(img_crop_width, img_crop_height); + pts_std[3] = cv::Point2f(0.f, img_crop_height); + + cv::Point2f pointsf[4]; + pointsf[0] = cv::Point2f(points[0][0], points[0][1]); + pointsf[1] = cv::Point2f(points[1][0], points[1][1]); + pointsf[2] = cv::Point2f(points[2][0], points[2][1]); + pointsf[3] = cv::Point2f(points[3][0], points[3][1]); + + cv::Mat M = cv::getPerspectiveTransform(pointsf, pts_std); + + cv::Mat dst_img; + cv::warpPerspective(img_crop, dst_img, M, + cv::Size(img_crop_width, img_crop_height), + cv::BORDER_REPLICATE); + + if (float(dst_img.rows) >= float(dst_img.cols) * 1.5) { + cv::Mat srcCopy = cv::Mat(dst_img.rows, dst_img.cols, dst_img.depth()); + cv::transpose(dst_img, srcCopy); + cv::flip(srcCopy, srcCopy, 0); + return srcCopy; + } else { + return dst_img; + } +} + } // namespace PaddleOCR From 4a27ac35f74a237ef51d31b4215f4418d681bacc Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 26 May 2021 06:58:24 +0000 Subject: [PATCH 06/31] delete unused comment --- deploy/cpp_infer/src/main.cpp | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/deploy/cpp_infer/src/main.cpp b/deploy/cpp_infer/src/main.cpp index 96b5e895..f2f6d807 100644 --- a/deploy/cpp_infer/src/main.cpp +++ b/deploy/cpp_infer/src/main.cpp @@ -88,12 +88,7 @@ int main(int argc, char **argv) { std::vector>> boxes; det.Run(srcimg, boxes); - // for (auto box : boxes){ - // std::cout << "box: " << box[0][0] << " " << box[0][1] << " " - // << box[1][0] << " " << box[1][1] << " " - // << box[2][0] << " " << box[2][1] << " " - // << box[3][0] << " " << box[3][1] << " " << std::endl; - // } + rec.Run(boxes, srcimg, cls); auto end = std::chrono::system_clock::now(); auto duration = From 8fc45dc6026c6be770d77c792d2ed3bc64cc94f8 Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 26 May 2021 07:02:47 +0000 Subject: [PATCH 07/31] delete debug --- deploy/cpp_infer/src/main.cpp | 1 - deploy/cpp_infer/tools/build.sh | 7 +++---- deploy/cpp_infer/tools/config.txt | 2 +- deploy/cpp_infer/tools/run.sh | 2 +- 4 files changed, 5 insertions(+), 7 deletions(-) diff --git a/deploy/cpp_infer/src/main.cpp b/deploy/cpp_infer/src/main.cpp index f2f6d807..f25e674b 100644 --- a/deploy/cpp_infer/src/main.cpp +++ b/deploy/cpp_infer/src/main.cpp @@ -51,7 +51,6 @@ int main(int argc, char **argv) { std::string img_path(argv[2]); std::vector all_img_names; - // cv::Mat srcimg = cv::imread(img_path, cv::IMREAD_COLOR); Utility::GetAllFiles((char *)img_path.c_str(), all_img_names); DBDetector det(config.det_model_dir, config.use_gpu, config.gpu_id, diff --git a/deploy/cpp_infer/tools/build.sh b/deploy/cpp_infer/tools/build.sh index 0c99f0e9..e7689196 100755 --- a/deploy/cpp_infer/tools/build.sh +++ b/deploy/cpp_infer/tools/build.sh @@ -1,9 +1,8 @@ OPENCV_DIR=/paddle/Paddle/opencv-3.4.7/opencv3 -LIB_DIR=/paddle/OCR/debug/paddle_inference -#LIB_DIR=/paddle/Paddle/inference/2.0.2/paddle_inference +LIB_DIR=your inference dir CUDA_LIB_DIR=/usr/local/cuda/lib64 CUDNN_LIB_DIR=/usr/lib/x86_64-linux-gnu -TENSORRT_DIR=/paddle/Paddle/package/TensorRT/TensorRT-6.0.1.5/ +TENSORRT_DIR=your trt dir BUILD_DIR=build rm -rf ${BUILD_DIR} @@ -14,7 +13,7 @@ cmake .. \ -DWITH_MKL=ON \ -DWITH_GPU=OFF \ -DWITH_STATIC_LIB=OFF \ - -DWITH_TENSORRT=ON \ + -DWITH_TENSORRT=OFF \ -DOPENCV_DIR=${OPENCV_DIR} \ -DCUDNN_LIB=${CUDNN_LIB_DIR} \ -DCUDA_LIB=${CUDA_LIB_DIR} \ diff --git a/deploy/cpp_infer/tools/config.txt b/deploy/cpp_infer/tools/config.txt index 9715fab3..d4d66d65 100644 --- a/deploy/cpp_infer/tools/config.txt +++ b/deploy/cpp_infer/tools/config.txt @@ -1,5 +1,5 @@ # model load config -use_gpu 1 +use_gpu 0 gpu_id 0 gpu_mem 4000 cpu_math_library_num_threads 10 diff --git a/deploy/cpp_infer/tools/run.sh b/deploy/cpp_infer/tools/run.sh index 73118b71..fa61da75 100755 --- a/deploy/cpp_infer/tools/run.sh +++ b/deploy/cpp_infer/tools/run.sh @@ -1,2 +1,2 @@ -./build/ocr_system ./tools/config.txt ../../doc/imgs/ +./build/ocr_system ./tools/config.txt ../../doc/imgs/12.jpg From 16d70fb74bbeded98c134df0ab69bfc4b29eff31 Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 26 May 2021 07:08:56 +0000 Subject: [PATCH 08/31] add cpu_math_library_num_threads params --- tools/infer/utility.py | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/tools/infer/utility.py b/tools/infer/utility.py index b5fe3ba9..41ca445f 100755 --- a/tools/infer/utility.py +++ b/tools/infer/utility.py @@ -21,6 +21,9 @@ import json from PIL import Image, ImageDraw, ImageFont import math from paddle import inference +import time +from ppocr.utils.logging import get_logger +logger = get_logger() def parse_args(): @@ -98,6 +101,7 @@ def parse_args(): parser.add_argument("--cls_thresh", type=float, default=0.9) parser.add_argument("--enable_mkldnn", type=str2bool, default=False) + parser.add_argument("--cpu_threads", type=int, default=10) parser.add_argument("--use_pdserving", type=str2bool, default=False) parser.add_argument("--use_mp", type=str2bool, default=False) @@ -140,14 +144,15 @@ def create_predictor(args, mode, logger): max_batch_size=args.max_batch_size) else: config.disable_gpu() - config.set_cpu_math_library_num_threads(6) + if hasattr(args, "cpu_threads"): + config.set_cpu_math_library_num_threads(args.cpu_threads) + else: + config.set_cpu_math_library_num_threads( + 10) # default cpu threads as 10 if args.enable_mkldnn: # cache 10 different shapes for mkldnn to avoid memory leak config.set_mkldnn_cache_capacity(10) config.enable_mkldnn() - # TODO LDOUBLEV: fix mkldnn bug when bach_size > 1 - #config.set_mkldnn_op({'conv2d', 'depthwise_conv2d', 'pool2d', 'batch_norm'}) - args.rec_batch_num = 1 # enable memory optim config.enable_memory_optim() From 9a68a6123a04bda96dcce6eed52fcc98b2ac06f0 Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 26 May 2021 07:09:52 +0000 Subject: [PATCH 09/31] fix hub server error --- tools/infer/utility.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tools/infer/utility.py b/tools/infer/utility.py index 41ca445f..f4e62b87 100755 --- a/tools/infer/utility.py +++ b/tools/infer/utility.py @@ -215,7 +215,7 @@ def draw_ocr(image, txts=None, scores=None, drop_score=0.5, - font_path="./doc/simfang.ttf"): + font_path="./doc/fonts/simfang.ttf"): """ Visualize the results of OCR detection and recognition args: From c946b386fd8bc745bd4b8ac59f30f94067bc5483 Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 26 May 2021 07:18:40 +0000 Subject: [PATCH 10/31] add trt min max opt shape --- tools/infer/utility.py | 80 ++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 77 insertions(+), 3 deletions(-) diff --git a/tools/infer/utility.py b/tools/infer/utility.py index f4e62b87..8ad916be 100755 --- a/tools/infer/utility.py +++ b/tools/infer/utility.py @@ -139,9 +139,83 @@ def create_predictor(args, mode, logger): config.enable_use_gpu(args.gpu_mem, 0) if args.use_tensorrt: config.enable_tensorrt_engine( - precision_mode=inference.PrecisionType.Half - if args.use_fp16 else inference.PrecisionType.Float32, - max_batch_size=args.max_batch_size) + precision_mode=inference.PrecisionType.Float32, + max_batch_size=args.max_batch_size, + min_subgraph_size=3) # skip the minmum trt subgraph + if mode == "det" and "mobile" in model_file_path: + min_input_shape = { + "x": [1, 3, 50, 50], + "conv2d_92.tmp_0": [1, 96, 20, 20], + "conv2d_91.tmp_0": [1, 96, 10, 10], + "nearest_interp_v2_1.tmp_0": [1, 96, 10, 10], + "nearest_interp_v2_2.tmp_0": [1, 96, 20, 20], + "nearest_interp_v2_3.tmp_0": [1, 24, 20, 20], + "nearest_interp_v2_4.tmp_0": [1, 24, 20, 20], + "nearest_interp_v2_5.tmp_0": [1, 24, 20, 20], + "elementwise_add_7": [1, 56, 2, 2], + "nearest_interp_v2_0.tmp_0": [1, 96, 2, 2] + } + max_input_shape = { + "x": [1, 3, 2000, 2000], + "conv2d_92.tmp_0": [1, 96, 400, 400], + "conv2d_91.tmp_0": [1, 96, 200, 200], + "nearest_interp_v2_1.tmp_0": [1, 96, 200, 200], + "nearest_interp_v2_2.tmp_0": [1, 96, 400, 400], + "nearest_interp_v2_3.tmp_0": [1, 24, 400, 400], + "nearest_interp_v2_4.tmp_0": [1, 24, 400, 400], + "nearest_interp_v2_5.tmp_0": [1, 24, 400, 400], + "elementwise_add_7": [1, 56, 400, 400], + "nearest_interp_v2_0.tmp_0": [1, 96, 400, 400] + } + opt_input_shape = { + "x": [1, 3, 640, 640], + "conv2d_92.tmp_0": [1, 96, 160, 160], + "conv2d_91.tmp_0": [1, 96, 80, 80], + "nearest_interp_v2_1.tmp_0": [1, 96, 80, 80], + "nearest_interp_v2_2.tmp_0": [1, 96, 160, 160], + "nearest_interp_v2_3.tmp_0": [1, 24, 160, 160], + "nearest_interp_v2_4.tmp_0": [1, 24, 160, 160], + "nearest_interp_v2_5.tmp_0": [1, 24, 160, 160], + "elementwise_add_7": [1, 56, 40, 40], + "nearest_interp_v2_0.tmp_0": [1, 96, 40, 40] + } + if mode == "det" and "server" in model_file_path: + min_input_shape = { + "x": [1, 3, 50, 50], + "conv2d_59.tmp_0": [1, 96, 20, 20], + "nearest_interp_v2_2.tmp_0": [1, 96, 20, 20], + "nearest_interp_v2_3.tmp_0": [1, 24, 20, 20], + "nearest_interp_v2_4.tmp_0": [1, 24, 20, 20], + "nearest_interp_v2_5.tmp_0": [1, 24, 20, 20] + } + max_input_shape = { + "x": [1, 3, 2000, 2000], + "conv2d_59.tmp_0": [1, 96, 400, 400], + "nearest_interp_v2_2.tmp_0": [1, 96, 400, 400], + "nearest_interp_v2_3.tmp_0": [1, 24, 400, 400], + "nearest_interp_v2_4.tmp_0": [1, 24, 400, 400], + "nearest_interp_v2_5.tmp_0": [1, 24, 400, 400] + } + opt_input_shape = { + "x": [1, 3, 640, 640], + "conv2d_59.tmp_0": [1, 96, 160, 160], + "nearest_interp_v2_2.tmp_0": [1, 96, 160, 160], + "nearest_interp_v2_3.tmp_0": [1, 24, 160, 160], + "nearest_interp_v2_4.tmp_0": [1, 24, 160, 160], + "nearest_interp_v2_5.tmp_0": [1, 24, 160, 160] + } + elif mode == "rec": + min_input_shape = {"x": [args.rec_batch_num, 3, 32, 10]} + max_input_shape = {"x": [args.rec_batch_num, 3, 32, 2000]} + opt_input_shape = {"x": [args.rec_batch_num, 3, 32, 320]} + elif mode == "cls": + min_input_shape = {"x": [args.rec_batch_num, 3, 48, 10]} + max_input_shape = {"x": [args.rec_batch_num, 3, 48, 2000]} + opt_input_shape = {"x": [args.rec_batch_num, 3, 48, 320]} + + config.set_trt_dynamic_shape_info(min_input_shape, max_input_shape, + opt_input_shape) + else: config.disable_gpu() if hasattr(args, "cpu_threads"): From 0707f743487f8a4707aa7d6dedd78bc3e0d3f0fe Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 26 May 2021 07:36:44 +0000 Subject: [PATCH 11/31] delete debug code --- tools/infer/utility.py | 20 +------------------- 1 file changed, 1 insertion(+), 19 deletions(-) diff --git a/tools/infer/utility.py b/tools/infer/utility.py index 8ad916be..ff0b60b9 100755 --- a/tools/infer/utility.py +++ b/tools/infer/utility.py @@ -497,22 +497,4 @@ def draw_boxes(image, boxes, scores=None, drop_score=0.5): if __name__ == '__main__': - test_img = "./doc/test_v2" - predict_txt = "./doc/predict.txt" - f = open(predict_txt, 'r') - data = f.readlines() - img_path, anno = data[0].strip().split('\t') - img_name = os.path.basename(img_path) - img_path = os.path.join(test_img, img_name) - image = Image.open(img_path) - - data = json.loads(anno) - boxes, txts, scores = [], [], [] - for dic in data: - boxes.append(dic['points']) - txts.append(dic['transcription']) - scores.append(round(dic['scores'], 3)) - - new_img = draw_ocr(image, boxes, txts, scores) - - cv2.imwrite(img_name, new_img) + pass From 5b3e7a33935bab2bfbca37cc7ada89a14922a28b Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 26 May 2021 07:56:06 +0000 Subject: [PATCH 12/31] support cpp trt predict --- deploy/cpp_infer/src/ocr_det.cpp | 38 ++++++++++++++++++- deploy/cpp_infer/src/ocr_rec.cpp | 9 +++++ deploy/cpp_infer/src/preprocess_op.cpp | 51 ++++++++------------------ 3 files changed, 61 insertions(+), 37 deletions(-) mode change 100755 => 100644 deploy/cpp_infer/src/preprocess_op.cpp diff --git a/deploy/cpp_infer/src/ocr_det.cpp b/deploy/cpp_infer/src/ocr_det.cpp index 9bfee613..33ad468a 100644 --- a/deploy/cpp_infer/src/ocr_det.cpp +++ b/deploy/cpp_infer/src/ocr_det.cpp @@ -30,6 +30,42 @@ void DBDetector::LoadModel(const std::string &model_dir) { this->use_fp16_ ? paddle_infer::Config::Precision::kHalf : paddle_infer::Config::Precision::kFloat32, false, false); + std::map> min_input_shape = { + {"x", {1, 3, 50, 50}}, + {"conv2d_92.tmp_0", {1, 96, 20, 20}}, + {"conv2d_91.tmp_0", {1, 96, 10, 10}}, + {"nearest_interp_v2_1.tmp_0", {1, 96, 10, 10}}, + {"nearest_interp_v2_2.tmp_0", {1, 96, 20, 20}}, + {"nearest_interp_v2_3.tmp_0", {1, 24, 20, 20}}, + {"nearest_interp_v2_4.tmp_0", {1, 24, 20, 20}}, + {"nearest_interp_v2_5.tmp_0", {1, 24, 20, 20}}, + {"elementwise_add_7", {1, 56, 2, 2}}, + {"nearest_interp_v2_0.tmp_0", {1, 96, 2, 2}}}; + std::map> max_input_shape = { + {"x", {1, 3, this->max_side_len_, this->max_side_len_}}, + {"conv2d_92.tmp_0", {1, 96, 400, 400}}, + {"conv2d_91.tmp_0", {1, 96, 200, 200}}, + {"nearest_interp_v2_1.tmp_0", {1, 96, 200, 200}}, + {"nearest_interp_v2_2.tmp_0", {1, 96, 400, 400}}, + {"nearest_interp_v2_3.tmp_0", {1, 24, 400, 400}}, + {"nearest_interp_v2_4.tmp_0", {1, 24, 400, 400}}, + {"nearest_interp_v2_5.tmp_0", {1, 24, 400, 400}}, + {"elementwise_add_7", {1, 56, 400, 400}}, + {"nearest_interp_v2_0.tmp_0", {1, 96, 400, 400}}}; + std::map> opt_input_shape = { + {"x", {1, 3, 640, 640}}, + {"conv2d_92.tmp_0", {1, 96, 160, 160}}, + {"conv2d_91.tmp_0", {1, 96, 80, 80}}, + {"nearest_interp_v2_1.tmp_0", {1, 96, 80, 80}}, + {"nearest_interp_v2_2.tmp_0", {1, 96, 160, 160}}, + {"nearest_interp_v2_3.tmp_0", {1, 24, 160, 160}}, + {"nearest_interp_v2_4.tmp_0", {1, 24, 160, 160}}, + {"nearest_interp_v2_5.tmp_0", {1, 24, 160, 160}}, + {"elementwise_add_7", {1, 56, 40, 40}}, + {"nearest_interp_v2_0.tmp_0", {1, 96, 40, 40}}}; + + config.SetTRTDynamicShapeInfo(min_input_shape, max_input_shape, + opt_input_shape); } } else { config.DisableGpu(); @@ -48,7 +84,7 @@ void DBDetector::LoadModel(const std::string &model_dir) { config.SwitchIrOptim(true); config.EnableMemoryOptim(); - config.DisableGlogInfo(); + // config.DisableGlogInfo(); this->predictor_ = CreatePredictor(config); } diff --git a/deploy/cpp_infer/src/ocr_rec.cpp b/deploy/cpp_infer/src/ocr_rec.cpp index 76873dad..e3f88033 100644 --- a/deploy/cpp_infer/src/ocr_rec.cpp +++ b/deploy/cpp_infer/src/ocr_rec.cpp @@ -105,6 +105,15 @@ void CRNNRecognizer::LoadModel(const std::string &model_dir) { this->use_fp16_ ? paddle_infer::Config::Precision::kHalf : paddle_infer::Config::Precision::kFloat32, false, false); + std::map> min_input_shape = { + {"x", {1, 3, 32, 10}}}; + std::map> max_input_shape = { + {"x", {1, 3, 32, 2000}}}; + std::map> opt_input_shape = { + {"x", {1, 3, 32, 320}}}; + + config.SetTRTDynamicShapeInfo(min_input_shape, max_input_shape, + opt_input_shape); } } else { config.DisableGpu(); diff --git a/deploy/cpp_infer/src/preprocess_op.cpp b/deploy/cpp_infer/src/preprocess_op.cpp old mode 100755 new mode 100644 index fb7590e3..28590e18 --- a/deploy/cpp_infer/src/preprocess_op.cpp +++ b/deploy/cpp_infer/src/preprocess_op.cpp @@ -77,19 +77,13 @@ void ResizeImgType0::Run(const cv::Mat &img, cv::Mat &resize_img, int resize_h = int(float(h) * ratio); int resize_w = int(float(w) * ratio); - + resize_h = max(int(round(float(resize_h) / 32) * 32), 32); resize_w = max(int(round(float(resize_w) / 32) * 32), 32); - if (!use_tensorrt) { - cv::resize(img, resize_img, cv::Size(resize_w, resize_h)); - ratio_h = float(resize_h) / float(h); - ratio_w = float(resize_w) / float(w); - } else { - cv::resize(img, resize_img, cv::Size(640, 640)); - ratio_h = float(640) / float(h); - ratio_w = float(640) / float(w); - } + cv::resize(img, resize_img, cv::Size(resize_w, resize_h)); + ratio_h = float(resize_h) / float(h); + ratio_w = float(resize_w) / float(w); } void CrnnResizeImg::Run(const cv::Mat &img, cv::Mat &resize_img, float wh_ratio, @@ -108,23 +102,12 @@ void CrnnResizeImg::Run(const cv::Mat &img, cv::Mat &resize_img, float wh_ratio, resize_w = imgW; else resize_w = int(ceilf(imgH * ratio)); - if (!use_tensorrt) { - cv::resize(img, resize_img, cv::Size(resize_w, imgH), 0.f, 0.f, - cv::INTER_LINEAR); - cv::copyMakeBorder(resize_img, resize_img, 0, 0, 0, - int(imgW - resize_img.cols), cv::BORDER_CONSTANT, - {127, 127, 127}); - } else { - int k = int(img.cols * 32 / img.rows); - if (k >= 100) { - cv::resize(img, resize_img, cv::Size(100, 32), 0.f, 0.f, - cv::INTER_LINEAR); - } else { - cv::resize(img, resize_img, cv::Size(k, 32), 0.f, 0.f, cv::INTER_LINEAR); - cv::copyMakeBorder(resize_img, resize_img, 0, 0, 0, int(100 - k), - cv::BORDER_CONSTANT, {127, 127, 127}); - } - } + + cv::resize(img, resize_img, cv::Size(resize_w, imgH), 0.f, 0.f, + cv::INTER_LINEAR); + cv::copyMakeBorder(resize_img, resize_img, 0, 0, 0, + int(imgW - resize_img.cols), cv::BORDER_CONSTANT, + {127, 127, 127}); } void ClsResizeImg::Run(const cv::Mat &img, cv::Mat &resize_img, @@ -142,15 +125,11 @@ void ClsResizeImg::Run(const cv::Mat &img, cv::Mat &resize_img, else resize_w = int(ceilf(imgH * ratio)); - if (!use_tensorrt) { - cv::resize(img, resize_img, cv::Size(resize_w, imgH), 0.f, 0.f, - cv::INTER_LINEAR); - if (resize_w < imgW) { - cv::copyMakeBorder(resize_img, resize_img, 0, 0, 0, imgW - resize_w, - cv::BORDER_CONSTANT, cv::Scalar(0, 0, 0)); - } - } else { - cv::resize(img, resize_img, cv::Size(100, 32), 0.f, 0.f, cv::INTER_LINEAR); + cv::resize(img, resize_img, cv::Size(resize_w, imgH), 0.f, 0.f, + cv::INTER_LINEAR); + if (resize_w < imgW) { + cv::copyMakeBorder(resize_img, resize_img, 0, 0, 0, imgW - resize_w, + cv::BORDER_CONSTANT, cv::Scalar(0, 0, 0)); } } From 3296edd7b72287c772eb8e915eacf77bdd1d18bf Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 26 May 2021 08:03:13 +0000 Subject: [PATCH 13/31] -DUSE to -DWITH --- deploy/cpp_infer/tools/build.sh | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/deploy/cpp_infer/tools/build.sh b/deploy/cpp_infer/tools/build.sh index 60653948..3e992670 100755 --- a/deploy/cpp_infer/tools/build.sh +++ b/deploy/cpp_infer/tools/build.sh @@ -1,7 +1,8 @@ -OPENCV_DIR=your_opencv_dir -LIB_DIR=your_paddle_inference_dir -CUDA_LIB_DIR=your_cuda_lib_dir -CUDNN_LIB_DIR=your_cudnn_lib_dir +OPENCV_DIR=/paddle/Paddle/opencv-3.4.7/opencv3 +LIB_DIR=/paddle/OCR/debug/paddle_inference +CUDA_LIB_DIR=/usr/local/cuda/lib64 +CUDNN_LIB_DIR=/usr/lib/x86_64-linux-gnu +TENSORRT_DIR=/paddle/Paddle/package/TensorRT/TensorRT-6.0.1.5/ BUILD_DIR=build rm -rf ${BUILD_DIR} @@ -12,7 +13,7 @@ cmake .. \ -DWITH_MKL=ON \ -DWITH_GPU=OFF \ -DWITH_STATIC_LIB=OFF \ - -DUSE_TENSORRT=OFF \ + -DWITH_TENSORRT=OFF \ -DOPENCV_DIR=${OPENCV_DIR} \ -DCUDNN_LIB=${CUDNN_LIB_DIR} \ -DCUDA_LIB=${CUDA_LIB_DIR} \ From b4dc3e9876abeab2ca307bb3f5828acd9638856a Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 26 May 2021 08:04:12 +0000 Subject: [PATCH 14/31] complie path retrieval --- deploy/cpp_infer/tools/build.sh | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/deploy/cpp_infer/tools/build.sh b/deploy/cpp_infer/tools/build.sh index 3e992670..b767ca7f 100755 --- a/deploy/cpp_infer/tools/build.sh +++ b/deploy/cpp_infer/tools/build.sh @@ -1,8 +1,7 @@ -OPENCV_DIR=/paddle/Paddle/opencv-3.4.7/opencv3 -LIB_DIR=/paddle/OCR/debug/paddle_inference -CUDA_LIB_DIR=/usr/local/cuda/lib64 -CUDNN_LIB_DIR=/usr/lib/x86_64-linux-gnu -TENSORRT_DIR=/paddle/Paddle/package/TensorRT/TensorRT-6.0.1.5/ +OPENCV_DIR=your_opencv_dir +LIB_DIR=your_paddle_inference_dir +CUDA_LIB_DIR=your_cuda_lib_dir +CUDNN_LIB_DIR=your_cudnn_lib_dir BUILD_DIR=build rm -rf ${BUILD_DIR} From eaf38b9b12cb529daa9eb920b843c7754dac38a2 Mon Sep 17 00:00:00 2001 From: WenmuZhou Date: Wed, 26 May 2021 17:34:47 +0800 Subject: [PATCH 15/31] combine args in paddleocr and ppocr/infer/utility --- doc/doc_ch/whl.md | 2 +- doc/doc_en/whl_en.md | 2 +- paddleocr.py | 140 ++++---------- tools/infer/predict_system.py | 4 +- tools/infer/utility.py | 341 +++++++++++++++++++++++++++------- 5 files changed, 309 insertions(+), 180 deletions(-) diff --git a/doc/doc_ch/whl.md b/doc/doc_ch/whl.md index 2e93c487..c341b49a 100644 --- a/doc/doc_ch/whl.md +++ b/doc/doc_ch/whl.md @@ -59,7 +59,7 @@ im_show.save('result.jpg') from paddleocr import PaddleOCR, draw_ocr ocr = PaddleOCR() # need to run only once to download and load model into memory img_path = 'PaddleOCR/doc/imgs/11.jpg' -result = ocr.ocr(img_path) +result = ocr.ocr(img_path,cls=False) for line in result: print(line) diff --git a/doc/doc_en/whl_en.md b/doc/doc_en/whl_en.md index 69abf085..eeaf1347 100644 --- a/doc/doc_en/whl_en.md +++ b/doc/doc_en/whl_en.md @@ -59,7 +59,7 @@ Visualization of results from paddleocr import PaddleOCR,draw_ocr ocr = PaddleOCR(lang='en') # need to run only once to download and load model into memory img_path = 'PaddleOCR/doc/imgs_en/img_12.jpg' -result = ocr.ocr(img_path) +result = ocr.ocr(img_path, cls=False) for line in result: print(line) diff --git a/paddleocr.py b/paddleocr.py index c5da7248..5e14deb1 100644 --- a/paddleocr.py +++ b/paddleocr.py @@ -30,7 +30,7 @@ from ppocr.utils.logging import get_logger logger = get_logger() from ppocr.utils.utility import check_and_read_gif, get_image_file_list -from tools.infer.utility import draw_ocr +from tools.infer.utility import draw_ocr, inference_args_list, str2bool, parse_args __all__ = ['PaddleOCR'] @@ -167,106 +167,36 @@ def maybe_download(model_storage_directory, url): os.remove(tmp_path) -def parse_args(mMain=True, add_help=True): +def parse_args_whl(mMain=True): import argparse - - def str2bool(v): - return v.lower() in ("true", "t", "1") - + extend_args_list = [ + { + 'name': 'lang', + 'type': str, + 'default': 'ch' + }, + { + 'name': 'det', + 'type': str2bool, + 'default': True + }, + { + 'name': 'rec', + 'type': str2bool, + 'default': True + }, + ] + for item in inference_args_list: + if item['name'] == 'rec_char_dict_path': + item['default'] = None + inference_args_list.extend(extend_args_list) if mMain: - parser = argparse.ArgumentParser(add_help=add_help) - # params for prediction engine - parser.add_argument("--use_gpu", type=str2bool, default=True) - parser.add_argument("--ir_optim", type=str2bool, default=True) - parser.add_argument("--use_tensorrt", type=str2bool, default=False) - parser.add_argument("--gpu_mem", type=int, default=8000) - - # params for text detector - parser.add_argument("--image_dir", type=str) - parser.add_argument("--det_algorithm", type=str, default='DB') - parser.add_argument("--det_model_dir", type=str, default=None) - parser.add_argument("--det_limit_side_len", type=float, default=960) - parser.add_argument("--det_limit_type", type=str, default='max') - - # DB parmas - parser.add_argument("--det_db_thresh", type=float, default=0.3) - parser.add_argument("--det_db_box_thresh", type=float, default=0.5) - parser.add_argument("--det_db_unclip_ratio", type=float, default=1.6) - parser.add_argument("--use_dilation", type=bool, default=False) - parser.add_argument("--det_db_score_mode", type=str, default="fast") - - # EAST parmas - parser.add_argument("--det_east_score_thresh", type=float, default=0.8) - parser.add_argument("--det_east_cover_thresh", type=float, default=0.1) - parser.add_argument("--det_east_nms_thresh", type=float, default=0.2) - - # params for text recognizer - parser.add_argument("--rec_algorithm", type=str, default='CRNN') - parser.add_argument("--rec_model_dir", type=str, default=None) - parser.add_argument("--rec_image_shape", type=str, default="3, 32, 320") - parser.add_argument("--rec_char_type", type=str, default='ch') - parser.add_argument("--rec_batch_num", type=int, default=6) - parser.add_argument("--max_text_length", type=int, default=25) - parser.add_argument("--rec_char_dict_path", type=str, default=None) - parser.add_argument("--use_space_char", type=bool, default=True) - parser.add_argument("--drop_score", type=float, default=0.5) - - # params for text classifier - parser.add_argument("--cls_model_dir", type=str, default=None) - parser.add_argument("--cls_image_shape", type=str, default="3, 48, 192") - parser.add_argument("--label_list", type=list, default=['0', '180']) - parser.add_argument("--cls_batch_num", type=int, default=6) - parser.add_argument("--cls_thresh", type=float, default=0.9) - - parser.add_argument("--enable_mkldnn", type=bool, default=False) - parser.add_argument("--use_zero_copy_run", type=bool, default=False) - parser.add_argument("--use_pdserving", type=str2bool, default=False) - - parser.add_argument("--lang", type=str, default='ch') - parser.add_argument("--det", type=str2bool, default=True) - parser.add_argument("--rec", type=str2bool, default=True) - parser.add_argument("--use_angle_cls", type=str2bool, default=False) - return parser.parse_args() + return parse_args() else: - return argparse.Namespace( - use_gpu=True, - ir_optim=True, - use_tensorrt=False, - gpu_mem=8000, - image_dir='', - det_algorithm='DB', - det_model_dir=None, - det_limit_side_len=960, - det_limit_type='max', - det_db_thresh=0.3, - det_db_box_thresh=0.5, - det_db_unclip_ratio=1.6, - use_dilation=False, - det_db_score_mode="fast", - det_east_score_thresh=0.8, - det_east_cover_thresh=0.1, - det_east_nms_thresh=0.2, - rec_algorithm='CRNN', - rec_model_dir=None, - rec_image_shape="3, 32, 320", - rec_char_type='ch', - rec_batch_num=6, - max_text_length=25, - rec_char_dict_path=None, - use_space_char=True, - drop_score=0.5, - cls_model_dir=None, - cls_image_shape="3, 48, 192", - label_list=['0', '180'], - cls_batch_num=6, - cls_thresh=0.9, - enable_mkldnn=False, - use_zero_copy_run=False, - use_pdserving=False, - lang='ch', - det=True, - rec=True, - use_angle_cls=False) + inference_args_dict = {} + for item in inference_args_list: + inference_args_dict[item['name']] = item['default'] + return argparse.Namespace(**inference_args_dict) class PaddleOCR(predict_system.TextSystem): @@ -276,7 +206,7 @@ class PaddleOCR(predict_system.TextSystem): args: **kwargs: other params show in paddleocr --help """ - postprocess_params = parse_args(mMain=False, add_help=False) + postprocess_params = parse_args_whl(mMain=False) postprocess_params.__dict__.update(**kwargs) self.use_angle_cls = postprocess_params.use_angle_cls lang = postprocess_params.lang @@ -346,7 +276,7 @@ class PaddleOCR(predict_system.TextSystem): # init det_model and rec_model super().__init__(postprocess_params) - def ocr(self, img, det=True, rec=True, cls=False): + def ocr(self, img, det=True, rec=True, cls=True): """ ocr with paddleocr args： @@ -358,9 +288,7 @@ class PaddleOCR(predict_system.TextSystem): if isinstance(img, list) and det == True: logger.error('When input a list of images, det must be false') exit(0) - if cls == False: - self.use_angle_cls = False - elif cls == True and self.use_angle_cls == False: + if cls == True and self.use_angle_cls == False: logger.warning( 'Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process' ) @@ -382,7 +310,7 @@ class PaddleOCR(predict_system.TextSystem): if isinstance(img, np.ndarray) and len(img.shape) == 2: img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR) if det and rec: - dt_boxes, rec_res = self.__call__(img) + dt_boxes, rec_res = self.__call__(img, cls) return [[box.tolist(), res] for box, res in zip(dt_boxes, rec_res)] elif det and not rec: dt_boxes, elapse = self.text_detector(img) @@ -392,7 +320,7 @@ class PaddleOCR(predict_system.TextSystem): else: if not isinstance(img, list): img = [img] - if self.use_angle_cls: + if self.use_angle_cls and cls: img, cls_res, elapse = self.text_classifier(img) if not rec: return cls_res @@ -402,7 +330,7 @@ class PaddleOCR(predict_system.TextSystem): def main(): # for cmd - args = parse_args(mMain=True) + args = parse_args_whl(mMain=True) image_dir = args.image_dir if image_dir.startswith('http'): download_with_progressbar(image_dir, 'tmp.jpg') diff --git a/tools/infer/predict_system.py b/tools/infer/predict_system.py index ba81aff0..78f5a472 100755 --- a/tools/infer/predict_system.py +++ b/tools/infer/predict_system.py @@ -85,7 +85,7 @@ class TextSystem(object): cv2.imwrite("./output/img_crop_%d.jpg" % bno, img_crop_list[bno]) logger.info(bno, rec_res[bno]) - def __call__(self, img): + def __call__(self, img, cls=True): ori_im = img.copy() dt_boxes, elapse = self.text_detector(img) logger.info("dt_boxes num : {}, elapse : {}".format( @@ -100,7 +100,7 @@ class TextSystem(object): tmp_box = copy.deepcopy(dt_boxes[bno]) img_crop = self.get_rotate_crop_image(ori_im, tmp_box) img_crop_list.append(img_crop) - if self.use_angle_cls: + if self.use_angle_cls and cls: img_crop_list, angle_list, elapse = self.text_classifier( img_crop_list) logger.info("cls num : {}, elapse : {}".format( diff --git a/tools/infer/utility.py b/tools/infer/utility.py index b5fe3ba9..3aa2a01e 100755 --- a/tools/infer/utility.py +++ b/tools/infer/utility.py @@ -23,87 +23,288 @@ import math from paddle import inference -def parse_args(): - def str2bool(v): - return v.lower() in ("true", "t", "1") +def str2bool(v): + return v.lower() in ("true", "t", "1") - parser = argparse.ArgumentParser() + +inference_args_list = [ # params for prediction engine - parser.add_argument("--use_gpu", type=str2bool, default=True) - parser.add_argument("--ir_optim", type=str2bool, default=True) - parser.add_argument("--use_tensorrt", type=str2bool, default=False) - parser.add_argument("--use_fp16", type=str2bool, default=False) - parser.add_argument("--gpu_mem", type=int, default=500) - + { + 'name': 'use_gpu', + 'type': str2bool, + 'default': True + }, + { + 'name': 'ir_optim', + 'type': str2bool, + 'default': True + }, + { + 'name': 'use_tensorrt', + 'type': str2bool, + 'default': False + }, + { + 'name': 'use_fp16', + 'type': str2bool, + 'default': False + }, + { + 'name': 'enable_mkldnn', + 'type': str2bool, + 'default': False + }, + { + 'name': 'use_pdserving', + 'type': str2bool, + 'default': False + }, + { + 'name': 'use_mp', + 'type': str2bool, + 'default': False + }, + { + 'name': 'total_process_num', + 'type': int, + 'default': 1 + }, + { + 'name': 'process_id', + 'type': int, + 'default': 0 + }, + { + 'name': 'gpu_mem', + 'type': int, + 'default': 500 + }, # params for text detector - parser.add_argument("--image_dir", type=str) - parser.add_argument("--det_algorithm", type=str, default='DB') - parser.add_argument("--det_model_dir", type=str) - parser.add_argument("--det_limit_side_len", type=float, default=960) - parser.add_argument("--det_limit_type", type=str, default='max') - + { + 'name': 'image_dir', + 'type': str, + 'default': None + }, + { + 'name': 'det_algorithm', + 'type': str, + 'default': 'DB' + }, + { + 'name': 'det_model_dir', + 'type': str, + 'default': None + }, + { + 'name': 'det_limit_side_len', + 'type': float, + 'default': 960 + }, + { + 'name': 'det_limit_type', + 'type': str, + 'default': 'max' + }, # DB parmas - parser.add_argument("--det_db_thresh", type=float, default=0.3) - parser.add_argument("--det_db_box_thresh", type=float, default=0.5) - parser.add_argument("--det_db_unclip_ratio", type=float, default=1.6) - parser.add_argument("--max_batch_size", type=int, default=10) - parser.add_argument("--use_dilation", type=bool, default=False) - parser.add_argument("--det_db_score_mode", type=str, default="fast") + { + 'name': 'det_db_thresh', + 'type': float, + 'default': 0.3 + }, + { + 'name': 'det_db_box_thresh', + 'type': float, + 'default': 0.5 + }, + { + 'name': 'det_db_unclip_ratio', + 'type': float, + 'default': 1.6 + }, + { + 'name': 'max_batch_size', + 'type': int, + 'default': 10 + }, + { + 'name': 'use_dilation', + 'type': str2bool, + 'default': False + }, + { + 'name': 'det_db_score_mode', + 'type': str, + 'default': 'fast' + }, # EAST parmas - parser.add_argument("--det_east_score_thresh", type=float, default=0.8) - parser.add_argument("--det_east_cover_thresh", type=float, default=0.1) - parser.add_argument("--det_east_nms_thresh", type=float, default=0.2) - + { + 'name': 'det_east_score_thresh', + 'type': float, + 'default': 0.8 + }, + { + 'name': 'det_east_cover_thresh', + 'type': float, + 'default': 0.1 + }, + { + 'name': 'det_east_nms_thresh', + 'type': float, + 'default': 0.2 + }, # SAST parmas - parser.add_argument("--det_sast_score_thresh", type=float, default=0.5) - parser.add_argument("--det_sast_nms_thresh", type=float, default=0.2) - parser.add_argument("--det_sast_polygon", type=bool, default=False) - + { + 'name': 'det_sast_score_thresh', + 'type': float, + 'default': 0.5 + }, + { + 'name': 'det_sast_nms_thresh', + 'type': float, + 'default': 0.2 + }, + { + 'name': 'det_sast_polygon', + 'type': str2bool, + 'default': False + }, # params for text recognizer - parser.add_argument("--rec_algorithm", type=str, default='CRNN') - parser.add_argument("--rec_model_dir", type=str) - parser.add_argument("--rec_image_shape", type=str, default="3, 32, 320") - parser.add_argument("--rec_char_type", type=str, default='ch') - parser.add_argument("--rec_batch_num", type=int, default=6) - parser.add_argument("--max_text_length", type=int, default=25) - parser.add_argument( - "--rec_char_dict_path", - type=str, - default="./ppocr/utils/ppocr_keys_v1.txt") - parser.add_argument("--use_space_char", type=str2bool, default=True) - parser.add_argument( - "--vis_font_path", type=str, default="./doc/fonts/simfang.ttf") - parser.add_argument("--drop_score", type=float, default=0.5) - + { + 'name': 'rec_algorithm', + 'type': str, + 'default': 'CRNN' + }, + { + 'name': 'rec_model_dir', + 'type': str, + 'default': None + }, + { + 'name': 'rec_image_shape', + 'type': str, + 'default': '3, 32, 320' + }, + { + 'name': 'rec_char_type', + 'type': str, + 'default': "ch" + }, + { + 'name': 'rec_batch_num', + 'type': int, + 'default': 6 + }, + { + 'name': 'max_text_length', + 'type': int, + 'default': 25 + }, + { + 'name': 'rec_char_dict_path', + 'type': str, + 'default': './ppocr/utils/ppocr_keys_v1.txt' + }, + { + 'name': 'use_space_char', + 'type': str2bool, + 'default': True + }, + { + 'name': 'vis_font_path', + 'type': str, + 'default': './doc/fonts/simfang.ttf' + }, + { + 'name': 'drop_score', + 'type': float, + 'default': 0.5 + }, # params for e2e - parser.add_argument("--e2e_algorithm", type=str, default='PGNet') - parser.add_argument("--e2e_model_dir", type=str) - parser.add_argument("--e2e_limit_side_len", type=float, default=768) - parser.add_argument("--e2e_limit_type", type=str, default='max') - + { + 'name': 'e2e_algorithm', + 'type': str, + 'default': 'PGNet' + }, + { + 'name': 'e2e_model_dir', + 'type': str, + 'default': None + }, + { + 'name': 'e2e_limit_side_len', + 'type': float, + 'default': 768 + }, + { + 'name': 'e2e_limit_type', + 'type': str, + 'default': 'max' + }, # PGNet parmas - parser.add_argument("--e2e_pgnet_score_thresh", type=float, default=0.5) - parser.add_argument( - "--e2e_char_dict_path", type=str, default="./ppocr/utils/ic15_dict.txt") - parser.add_argument("--e2e_pgnet_valid_set", type=str, default='totaltext') - parser.add_argument("--e2e_pgnet_polygon", type=bool, default=True) - parser.add_argument("--e2e_pgnet_mode", type=str, default='fast') - + { + 'name': 'e2e_pgnet_score_thresh', + 'type': float, + 'default': 0.5 + }, + { + 'name': 'e2e_char_dict_path', + 'type': str, + 'default': './ppocr/utils/ic15_dict.txt' + }, + { + 'name': 'e2e_pgnet_valid_set', + 'type': str, + 'default': 'totaltext' + }, + { + 'name': 'e2e_pgnet_polygon', + 'type': str2bool, + 'default': True + }, + { + 'name': 'e2e_pgnet_mode', + 'type': str, + 'default': 'fast' + }, # params for text classifier - parser.add_argument("--use_angle_cls", type=str2bool, default=False) - parser.add_argument("--cls_model_dir", type=str) - parser.add_argument("--cls_image_shape", type=str, default="3, 48, 192") - parser.add_argument("--label_list", type=list, default=['0', '180']) - parser.add_argument("--cls_batch_num", type=int, default=6) - parser.add_argument("--cls_thresh", type=float, default=0.9) + { + 'name': 'use_angle_cls', + 'type': str2bool, + 'default': False + }, + { + 'name': 'cls_model_dir', + 'type': str, + 'default': None + }, + { + 'name': 'cls_image_shape', + 'type': str, + 'default': '3, 48, 192' + }, + { + 'name': 'label_list', + 'type': list, + 'default': ['0', '180'] + }, + { + 'name': 'cls_batch_num', + 'type': int, + 'default': 6 + }, + { + 'name': 'cls_thresh', + 'type': float, + 'default': 0.9 + }, +] - parser.add_argument("--enable_mkldnn", type=str2bool, default=False) - parser.add_argument("--use_pdserving", type=str2bool, default=False) - - parser.add_argument("--use_mp", type=str2bool, default=False) - parser.add_argument("--total_process_num", type=int, default=1) - parser.add_argument("--process_id", type=int, default=0) +def parse_args(): + parser = argparse.ArgumentParser() + for item in inference_args_list: + parser.add_argument( + '--' + item['name'], type=item['type'], default=item['default']) return parser.parse_args() @@ -146,7 +347,7 @@ def create_predictor(args, mode, logger): config.set_mkldnn_cache_capacity(10) config.enable_mkldnn() # TODO LDOUBLEV: fix mkldnn bug when bach_size > 1 - #config.set_mkldnn_op({'conv2d', 'depthwise_conv2d', 'pool2d', 'batch_norm'}) + # config.set_mkldnn_op({'conv2d', 'depthwise_conv2d', 'pool2d', 'batch_norm'}) args.rec_batch_num = 1 # enable memory optim From a85941fff437c14727e26d41a59f50f51392a189 Mon Sep 17 00:00:00 2001 From: Double_V Date: Wed, 26 May 2021 18:49:44 +0800 Subject: [PATCH 16/31] fix comment --- deploy/cpp_infer/tools/build.sh | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/deploy/cpp_infer/tools/build.sh b/deploy/cpp_infer/tools/build.sh index e7689196..79611300 100755 --- a/deploy/cpp_infer/tools/build.sh +++ b/deploy/cpp_infer/tools/build.sh @@ -1,8 +1,7 @@ -OPENCV_DIR=/paddle/Paddle/opencv-3.4.7/opencv3 -LIB_DIR=your inference dir -CUDA_LIB_DIR=/usr/local/cuda/lib64 -CUDNN_LIB_DIR=/usr/lib/x86_64-linux-gnu -TENSORRT_DIR=your trt dir +OPENCV_DIR=your_opencv_dir +LIB_DIR=your_paddle_inference_dir +CUDA_LIB_DIR=your_cuda_lib_dir +CUDNN_LIB_DIR=your_cudnn_lib_dir BUILD_DIR=build rm -rf ${BUILD_DIR} From 0fd13fa41046d30d75c6f8a6dc9b542f9cee582f Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 26 May 2021 10:54:54 +0000 Subject: [PATCH 17/31] process else --- tools/infer/utility.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/tools/infer/utility.py b/tools/infer/utility.py index ff0b60b9..de3bb3db 100755 --- a/tools/infer/utility.py +++ b/tools/infer/utility.py @@ -212,7 +212,10 @@ def create_predictor(args, mode, logger): min_input_shape = {"x": [args.rec_batch_num, 3, 48, 10]} max_input_shape = {"x": [args.rec_batch_num, 3, 48, 2000]} opt_input_shape = {"x": [args.rec_batch_num, 3, 48, 320]} - + else: + min_input_shape = {"x": [1, 3, 10, 10]} + max_input_shape = {"x": [1, 3, 1000, 1000]} + opt_input_shape = {"x": [1, 3, 500, 500]} config.set_trt_dynamic_shape_info(min_input_shape, max_input_shape, opt_input_shape) From c8cc0fb4b77ec75c068c59d67956ec04cc8059f4 Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 26 May 2021 10:55:53 +0000 Subject: [PATCH 18/31] pre-commit --- tools/infer/utility.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tools/infer/utility.py b/tools/infer/utility.py index de3bb3db..ff4a0276 100755 --- a/tools/infer/utility.py +++ b/tools/infer/utility.py @@ -224,8 +224,8 @@ def create_predictor(args, mode, logger): if hasattr(args, "cpu_threads"): config.set_cpu_math_library_num_threads(args.cpu_threads) else: - config.set_cpu_math_library_num_threads( - 10) # default cpu threads as 10 + # default cpu threads as 10 + config.set_cpu_math_library_num_threads(10) if args.enable_mkldnn: # cache 10 different shapes for mkldnn to avoid memory 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In the classification task, distributed training can achieve almost linear speedup ratio. Generally, OCR training task need massive training data. Such as recognition, ppocrv2.0 model is trained based on 1800W dataset, which is very time-consuming if using single machine. Therefore, the distributed training is used in paddleocr to speedup the training task. For more information about distributed training, please refer to [distributed training quick start tutorial](https://fleet-x.readthedocs.io/en/latest/paddle_fleet_rst/parameter_server/ps_quick_start.html). + +## Quick Start + +### Training with single machine + +Take recognition as an example. After the data is prepared locally, start the training task with the interface of `paddle.distributed.launch`. The start command as follows: + +```shell +python3 -m paddle.distributed.launch \ + --log_dir=./log/ \ + --gpus '0,1,2,3,4,5,6,7' \ + tools/train.py \ + -c configs/rec/rec_mv3_none_bilstm_ctc.yml +``` + +### Training with multi machine + +Compared with single machine, training with multi machine only needs to add the parameter `--ips` to start command, which represents the IP list of machines used for distributed training, and the IP of different machines are separated by commas. The start command as follows: + +```shell +ip_list="192.168.0.1,192.168.0.2" +python3 -m paddle.distributed.launch \ + --log_dir=./log/ \ + --ips="${ip_list}" \ + --gpus="0,1,2,3,4,5,6,7" \ + tools/train.py \ + -c configs/rec/rec_mv3_none_bilstm_ctc.yml +``` + +**Notice:** +* The IP addresses of different machines need to be separated by commas, which can be queried through `ifconfig` or `ipconfig`. +* Different machines need to be set to be secret free and can `ping` success with others directly, otherwise communication cannot establish between them. +* The code, data and start command betweent different machines must be completely consistent and then all machines need to run start command. The first machine in the `ip_list` is set to `trainer0`, and so on. + + +## Performance comparison + +* Based on 26W public recognition dataset (LSVT, rctw, mtwi), training on single 8-card P40 and dual 8-card P40, the final time consumption is as follows. + +| Model | Config file | Number of machines | Number of GPUs per machine | Training time | Recognition acc | Speedup ratio | +| :-------: | :------------: | :----------------: | :----------------------------: | :------------------: | :--------------: | :-----------: | +| CRNN | configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml | 1 | 8 | 60h | 66.7% | - | +| CRNN | configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml | 2 | 8 | 40h | 67.0% | 150% | + +It can be seen that the training time is shortened from 60h to 40h, the speedup ratio can reach 150% (60h / 40h), and the efficiency is 75% (60h / (40h * 2)). From 359d81e585f54ed60a17e783d2bc682c4af7958e Mon Sep 17 00:00:00 2001 From: WenmuZhou Date: Fri, 28 May 2021 17:31:48 +0800 Subject: [PATCH 22/31] change infer args format from dict to list --- paddleocr.py | 24 +--- tools/infer/utility.py | 316 +++++++---------------------------------- 2 files changed, 60 insertions(+), 280 deletions(-) diff --git a/paddleocr.py b/paddleocr.py index 5e14deb1..7c45c438 100644 --- a/paddleocr.py +++ b/paddleocr.py @@ -170,32 +170,20 @@ def maybe_download(model_storage_directory, url): def parse_args_whl(mMain=True): import argparse extend_args_list = [ - { - 'name': 'lang', - 'type': str, - 'default': 'ch' - }, - { - 'name': 'det', - 'type': str2bool, - 'default': True - }, - { - 'name': 'rec', - 'type': str2bool, - 'default': True - }, + ['lang', str, 'ch'], + ['det', str2bool, True], + ['rec', str2bool, True], ] for item in inference_args_list: - if item['name'] == 'rec_char_dict_path': - item['default'] = None + if item[0] == 'rec_char_dict_path': + item[2] = None inference_args_list.extend(extend_args_list) if mMain: return parse_args() else: inference_args_dict = {} for item in inference_args_list: - inference_args_dict[item['name']] = item['default'] + inference_args_dict[item[0]] = item[2] return argparse.Namespace(**inference_args_dict) diff --git a/tools/infer/utility.py b/tools/infer/utility.py index 3aa2a01e..88bfc6dd 100755 --- a/tools/infer/utility.py +++ b/tools/infer/utility.py @@ -28,283 +28,75 @@ def str2bool(v): inference_args_list = [ + # name type defalue # params for prediction engine - { - 'name': 'use_gpu', - 'type': str2bool, - 'default': True - }, - { - 'name': 'ir_optim', - 'type': str2bool, - 'default': True - }, - { - 'name': 'use_tensorrt', - 'type': str2bool, - 'default': False - }, - { - 'name': 'use_fp16', - 'type': str2bool, - 'default': False - }, - { - 'name': 'enable_mkldnn', - 'type': str2bool, - 'default': False - }, - { - 'name': 'use_pdserving', - 'type': str2bool, - 'default': False - }, - { - 'name': 'use_mp', - 'type': str2bool, - 'default': False - }, - { - 'name': 'total_process_num', - 'type': int, - 'default': 1 - }, - { - 'name': 'process_id', - 'type': int, - 'default': 0 - }, - { - 'name': 'gpu_mem', - 'type': int, - 'default': 500 - }, + ['use_gpu', str2bool, True], + ['use_tensorrt', str2bool, False], + ['use_fp16', str2bool, False], + ['use_pdserving', str2bool, False], + ['use_mp', str2bool, False], + ['enable_mkldnn', str2bool, False], + ['ir_optim', str2bool, True], + ['total_process_num', int, 1], + ['process_id', int, 0], + ['gpu_mem', int, 500], # params for text detector - { - 'name': 'image_dir', - 'type': str, - 'default': None - }, - { - 'name': 'det_algorithm', - 'type': str, - 'default': 'DB' - }, - { - 'name': 'det_model_dir', - 'type': str, - 'default': None - }, - { - 'name': 'det_limit_side_len', - 'type': float, - 'default': 960 - }, - { - 'name': 'det_limit_type', - 'type': str, - 'default': 'max' - }, + ['image_dir', str, None], + ['det_algorithm', str, 'DB'], + ['det_model_dir', str, None], + ['det_limit_side_len', float, 960], + ['det_limit_type', str, 'max'], # DB parmas - { - 'name': 'det_db_thresh', - 'type': float, - 'default': 0.3 - }, - { - 'name': 'det_db_box_thresh', - 'type': float, - 'default': 0.5 - }, - { - 'name': 'det_db_unclip_ratio', - 'type': float, - 'default': 1.6 - }, - { - 'name': 'max_batch_size', - 'type': int, - 'default': 10 - }, - { - 'name': 'use_dilation', - 'type': str2bool, - 'default': False - }, - { - 'name': 'det_db_score_mode', - 'type': str, - 'default': 'fast' - }, + ['det_db_thresh', float, 0.3], + ['det_db_box_thresh', float, 0.5], + ['det_db_unclip_ratio', float, 1.6], + ['max_batch_size', int, 10], + ['use_dilation', str2bool, False], + ['det_db_score_mode', str, 'fast'], # EAST parmas - { - 'name': 'det_east_score_thresh', - 'type': float, - 'default': 0.8 - }, - { - 'name': 'det_east_cover_thresh', - 'type': float, - 'default': 0.1 - }, - { - 'name': 'det_east_nms_thresh', - 'type': float, - 'default': 0.2 - }, + ['det_east_score_thresh', float, 0.8], + ['det_east_cover_thresh', float, 0.1], + ['det_east_nms_thresh', float, 0.2], # SAST parmas - { - 'name': 'det_sast_score_thresh', - 'type': float, - 'default': 0.5 - }, - { - 'name': 'det_sast_nms_thresh', - 'type': float, - 'default': 0.2 - }, - { - 'name': 'det_sast_polygon', - 'type': str2bool, - 'default': False - }, + ['det_sast_score_thresh', float, 0.5], + ['det_sast_nms_thresh', float, 0.2], + ['det_sast_polygon', str2bool, False], # params for text recognizer - { - 'name': 'rec_algorithm', - 'type': str, - 'default': 'CRNN' - }, - { - 'name': 'rec_model_dir', - 'type': str, - 'default': None - }, - { - 'name': 'rec_image_shape', - 'type': str, - 'default': '3, 32, 320' - }, - { - 'name': 'rec_char_type', - 'type': str, - 'default': "ch" - }, - { - 'name': 'rec_batch_num', - 'type': int, - 'default': 6 - }, - { - 'name': 'max_text_length', - 'type': int, - 'default': 25 - }, - { - 'name': 'rec_char_dict_path', - 'type': str, - 'default': './ppocr/utils/ppocr_keys_v1.txt' - }, - { - 'name': 'use_space_char', - 'type': str2bool, - 'default': True - }, - { - 'name': 'vis_font_path', - 'type': str, - 'default': './doc/fonts/simfang.ttf' - }, - { - 'name': 'drop_score', - 'type': float, - 'default': 0.5 - }, + ['rec_algorithm', str, 'CRNN'], + ['rec_model_dir', str, None], + ['rec_image_shape', str, '3, 32, 320'], + ['rec_char_type', str, "ch"], + ['rec_batch_num', int, 6], + ['max_text_length', int, 25], + ['rec_char_dict_path', str, './ppocr/utils/ppocr_keys_v1.txt'], + ['use_space_char', str2bool, True], + ['vis_font_path', str, './doc/fonts/simfang.ttf'], + ['drop_score', float, 0.5], # params for e2e - { - 'name': 'e2e_algorithm', - 'type': str, - 'default': 'PGNet' - }, - { - 'name': 'e2e_model_dir', - 'type': str, - 'default': None - }, - { - 'name': 'e2e_limit_side_len', - 'type': float, - 'default': 768 - }, - { - 'name': 'e2e_limit_type', - 'type': str, - 'default': 'max' - }, + ['e2e_algorithm', str, 'PGNet'], + ['e2e_model_dir', str, None], + ['e2e_limit_side_len', float, 768], + ['e2e_limit_type', str, 'max'], # PGNet parmas - { - 'name': 'e2e_pgnet_score_thresh', - 'type': float, - 'default': 0.5 - }, - { - 'name': 'e2e_char_dict_path', - 'type': str, - 'default': './ppocr/utils/ic15_dict.txt' - }, - { - 'name': 'e2e_pgnet_valid_set', - 'type': str, - 'default': 'totaltext' - }, - { - 'name': 'e2e_pgnet_polygon', - 'type': str2bool, - 'default': True - }, - { - 'name': 'e2e_pgnet_mode', - 'type': str, - 'default': 'fast' - }, + ['e2e_pgnet_score_thresh', float, 0.5], + ['e2e_char_dict_path', str, './ppocr/utils/ic15_dict.txt'], + ['e2e_pgnet_valid_set', str, 'totaltext'], + ['e2e_pgnet_polygon', str2bool, True], + ['e2e_pgnet_mode', str, 'fast'], # params for text classifier - { - 'name': 'use_angle_cls', - 'type': str2bool, - 'default': False - }, - { - 'name': 'cls_model_dir', - 'type': str, - 'default': None - }, - { - 'name': 'cls_image_shape', - 'type': str, - 'default': '3, 48, 192' - }, - { - 'name': 'label_list', - 'type': list, - 'default': ['0', '180'] - }, - { - 'name': 'cls_batch_num', - 'type': int, - 'default': 6 - }, - { - 'name': 'cls_thresh', - 'type': float, - 'default': 0.9 - }, + ['use_angle_cls', str2bool, False], + ['cls_model_dir', str, None], + ['cls_image_shape', str, '3, 48, 192'], + ['label_list', list, ['0', '180']], + ['cls_batch_num', int, 6], + ['cls_thresh', float, 0.9], ] def parse_args(): parser = argparse.ArgumentParser() for item in inference_args_list: - parser.add_argument( - '--' + item['name'], type=item['type'], default=item['default']) + parser.add_argument('--' + item[0], type=item[1], default=item[2]) return parser.parse_args() From d721519335b84f2af16df9a582bd814a6a09a59d Mon Sep 17 00:00:00 2001 From: root Date: Tue, 1 Jun 2021 11:48:32 +0000 Subject: [PATCH 23/31] add ppstructure dir --- ppstructure/README.md | 0 ppstructure/README_CH.md | 0 ppstructure/layout/README.md | 0 ppstructure/layout/README_CH.md | 0 ppstructure/predict_system.py | 0 ppstructure/table/README.md | 0 ppstructure/table/README_CH.md | 0 7 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 ppstructure/README.md create mode 100644 ppstructure/README_CH.md create mode 100644 ppstructure/layout/README.md create mode 100644 ppstructure/layout/README_CH.md create mode 100644 ppstructure/predict_system.py create mode 100644 ppstructure/table/README.md create mode 100644 ppstructure/table/README_CH.md diff --git a/ppstructure/README.md b/ppstructure/README.md new file mode 100644 index 00000000..e69de29b diff --git a/ppstructure/README_CH.md b/ppstructure/README_CH.md new file mode 100644 index 00000000..e69de29b diff --git a/ppstructure/layout/README.md b/ppstructure/layout/README.md new file mode 100644 index 00000000..e69de29b diff --git a/ppstructure/layout/README_CH.md b/ppstructure/layout/README_CH.md new file mode 100644 index 00000000..e69de29b diff --git a/ppstructure/predict_system.py b/ppstructure/predict_system.py new file mode 100644 index 00000000..e69de29b diff --git a/ppstructure/table/README.md b/ppstructure/table/README.md new file mode 100644 index 00000000..e69de29b diff --git a/ppstructure/table/README_CH.md b/ppstructure/table/README_CH.md new file mode 100644 index 00000000..e69de29b From 74f0c82cd342d860c6bb3dcb17e3205d096f0386 Mon Sep 17 00:00:00 2001 From: MissPenguin Date: Tue, 1 Jun 2021 11:52:56 +0000 Subject: [PATCH 24/31] add ppstructure dir --- ppstructure/{README_CH.md => README_ch.md} | 0 ppstructure/layout/{README_CH.md => README_ch.md} | 0 ppstructure/table/{README_CH.md => README_ch.md} | 0 3 files changed, 0 insertions(+), 0 deletions(-) rename ppstructure/{README_CH.md => README_ch.md} (100%) rename ppstructure/layout/{README_CH.md => README_ch.md} (100%) rename ppstructure/table/{README_CH.md => README_ch.md} (100%) diff --git a/ppstructure/README_CH.md b/ppstructure/README_ch.md similarity index 100% rename from ppstructure/README_CH.md rename to ppstructure/README_ch.md diff --git a/ppstructure/layout/README_CH.md b/ppstructure/layout/README_ch.md similarity index 100% rename from ppstructure/layout/README_CH.md rename to ppstructure/layout/README_ch.md diff --git a/ppstructure/table/README_CH.md b/ppstructure/table/README_ch.md similarity index 100% rename from ppstructure/table/README_CH.md rename to ppstructure/table/README_ch.md From 475d1c6104b948890c00a10072abe478e9b8ff29 Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 2 Jun 2021 14:32:14 +0800 Subject: [PATCH 25/31] fix cpp doc of dygraph branch --- deploy/cpp_infer/readme.md | 7 ++++--- deploy/cpp_infer/readme_en.md | 6 +++--- 2 files changed, 7 insertions(+), 6 deletions(-) diff --git a/deploy/cpp_infer/readme.md b/deploy/cpp_infer/readme.md index ee5a9ed4..52d5f84b 100644 --- a/deploy/cpp_infer/readme.md +++ b/deploy/cpp_infer/readme.md @@ -77,7 +77,7 @@ opencv3/ #### 1.2.1 直接下载安装 -* [Paddle预测库官网](https://www.paddlepaddle.org.cn/documentation/docs/zh/advanced_guide/inference_deployment/inference/build_and_install_lib_cn.html)上提供了不同cuda版本的Linux预测库，可以在官网查看并选择合适的预测库版本（*建议选择paddle版本>=2.0.1版本的预测库* ）。 +* [Paddle预测库官网](https://www.paddlepaddle.org.cn/documentation/docs/zh/2.0/guides/05_inference_deployment/inference/build_and_install_lib_cn.html) 上提供了不同cuda版本的Linux预测库，可以在官网查看并选择合适的预测库版本（*建议选择paddle版本>=2.0.1版本的预测库* ）。 * 下载之后使用下面的方法解压。 @@ -89,10 +89,11 @@ tar -xf paddle_inference.tgz #### 1.2.2 预测库源码编译 * 如果希望获取最新预测库特性，可以从Paddle github上克隆最新代码，源码编译预测库。 -* 可以参考[Paddle预测库官网](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/guides/05_inference_deployment/inference/build_and_install_lib_cn.html)的说明，从github上获取Paddle代码，然后进行编译，生成最新的预测库。使用git获取代码方法如下。 +* 可以参考[Paddle预测库安装编译说明](https://www.paddlepaddle.org.cn/documentation/docs/zh/2.0/guides/05_inference_deployment/inference/build_and_install_lib_cn.html#congyuanmabianyi) 的说明，从github上获取Paddle代码，然后进行编译，生成最新的预测库。使用git获取代码方法如下。 ```shell git clone https://github.com/PaddlePaddle/Paddle.git +git checkout release/2.1 ``` * 进入Paddle目录后，编译方法如下。 @@ -115,7 +116,7 @@ make -j make inference_lib_dist ``` -更多编译参数选项可以参考Paddle C++预测库官网：[https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/guides/05_inference_deployment/inference/build_and_install_lib_cn.html](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/guides/05_inference_deployment/inference/build_and_install_lib_cn.html)。 +更多编译参数选项介绍可以参考[文档说明](https://www.paddlepaddle.org.cn/documentation/docs/zh/2.0/guides/05_inference_deployment/inference/build_and_install_lib_cn.html#congyuanmabianyi)。 * 编译完成之后，可以在`build/paddle_inference_install_dir/`文件下看到生成了以下文件及文件夹。 diff --git a/deploy/cpp_infer/readme_en.md b/deploy/cpp_infer/readme_en.md index 913ba1f9..df6dfb29 100644 --- a/deploy/cpp_infer/readme_en.md +++ b/deploy/cpp_infer/readme_en.md @@ -78,8 +78,7 @@ opencv3/ #### 1.2.1 Direct download and installation -* Different cuda versions of the Linux inference library (based on GCC 4.8.2) are provided on the -[Paddle inference library official website](https://www.paddlepaddle.org.cn/documentation/docs/en/develop/guides/05_inference_deployment/inference/build_and_install_lib_en.html). You can view and select the appropriate version of the inference library on the official website. +[Paddle inference library official website](https://www.paddlepaddle.org.cn/documentation/docs/zh/2.0/guides/05_inference_deployment/inference/build_and_install_lib_cn.html). You can view and select the appropriate version of the inference library on the official website. * After downloading, use the following method to uncompress. @@ -97,6 +96,7 @@ Finally you can see the following files in the folder of `paddle_inference/`. ```shell git clone https://github.com/PaddlePaddle/Paddle.git +git checkout release/2.1 ``` * After entering the Paddle directory, the compilation method is as follows. @@ -119,7 +119,7 @@ make -j make inference_lib_dist ``` -For more compilation parameter options, please refer to the official website of the Paddle C++ inference library:[https://www.paddlepaddle.org.cn/documentation/docs/en/develop/guides/05_inference_deployment/inference/build_and_install_lib_en.html](https://www.paddlepaddle.org.cn/documentation/docs/en/develop/guides/05_inference_deployment/inference/build_and_install_lib_en.html). +For more compilation parameter options, please refer to the [document](https://www.paddlepaddle.org.cn/documentation/docs/zh/2.0/guides/05_inference_deployment/inference/build_and_install_lib_cn.html#congyuanmabianyi). * After the compilation process, you can see the following files in the folder of `build/paddle_inference_install_dir/`. From 583b9dc2f66436675adc4b0ef1a47034d369f8fa Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 2 Jun 2021 14:37:17 +0800 Subject: [PATCH 26/31] refine en readme --- deploy/cpp_infer/readme_en.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/deploy/cpp_infer/readme_en.md b/deploy/cpp_infer/readme_en.md index df6dfb29..f2cd4fbd 100644 --- a/deploy/cpp_infer/readme_en.md +++ b/deploy/cpp_infer/readme_en.md @@ -99,7 +99,7 @@ git clone https://github.com/PaddlePaddle/Paddle.git git checkout release/2.1 ``` -* After entering the Paddle directory, the compilation method is as follows. +* After entering the Paddle directory, the instructions to compile the paddle inference library are as follows. ```shell rm -rf build From 8868d06867299c7239e0c6b94e9e54d023edeb91 Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Wed, 2 Jun 2021 14:37:29 +0800 Subject: [PATCH 27/31] refine en readme --- deploy/cpp_infer/readme_en.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/deploy/cpp_infer/readme_en.md b/deploy/cpp_infer/readme_en.md index f2cd4fbd..cd44b1ce 100644 --- a/deploy/cpp_infer/readme_en.md +++ b/deploy/cpp_infer/readme_en.md @@ -99,7 +99,7 @@ git clone https://github.com/PaddlePaddle/Paddle.git git checkout release/2.1 ``` -* After entering the Paddle directory, the instructions to compile the paddle inference library are as follows. +* After entering the Paddle directory, the commands to compile the paddle inference library are as follows. ```shell rm -rf build From 7009c5078ae56872e19585970f8ef7fb3f4f834b Mon Sep 17 00:00:00 2001 From: Leif <4603009@qq.com> Date: Wed, 2 Jun 2021 17:05:58 +0800 Subject: [PATCH 28/31] Update joinus.png and PPOCRLabel --- PPOCRLabel/PPOCRLabel.py | 13 +++++++++---- doc/joinus.PNG | Bin 102068 -> 104232 bytes 2 files changed, 9 insertions(+), 4 deletions(-) diff --git a/PPOCRLabel/PPOCRLabel.py b/PPOCRLabel/PPOCRLabel.py index af7c2642..9ffa909e 100644 --- a/PPOCRLabel/PPOCRLabel.py +++ b/PPOCRLabel/PPOCRLabel.py @@ -92,7 +92,7 @@ class WindowMixin(object): class MainWindow(QMainWindow, WindowMixin): FIT_WINDOW, FIT_WIDTH, MANUAL_ZOOM = list(range(3)) - def __init__(self, lang="ch", defaultFilename=None, defaultPrefdefClassFile=None, defaultSaveDir=None): + def __init__(self, lang="ch", gpu=False, defaultFilename=None, defaultPrefdefClassFile=None, defaultSaveDir=None): super(MainWindow, self).__init__() self.setWindowTitle(__appname__) @@ -108,7 +108,7 @@ class MainWindow(QMainWindow, WindowMixin): getStr = lambda strId: self.stringBundle.getString(strId) self.defaultSaveDir = defaultSaveDir - self.ocr = PaddleOCR(use_pdserving=False, use_angle_cls=True, det=True, cls=True, use_gpu=False, lang=lang) + self.ocr = PaddleOCR(use_pdserving=False, use_angle_cls=True, det=True, cls=True, use_gpu=gpu, lang=lang) if os.path.exists('./data/paddle.png'): result = self.ocr.ocr('./data/paddle.png', cls=True, det=True) @@ -1239,6 +1239,8 @@ class MainWindow(QMainWindow, WindowMixin): def loadFile(self, filePath=None): """Load the specified file, or the last opened file if None.""" + if self.dirty: + self.mayContinue() self.resetState() self.canvas.setEnabled(False) if filePath is None: @@ -2037,6 +2039,8 @@ def read(filename, default=None): except: return default +def str2bool(v): + return v.lower() in ("true", "t", "1") def get_main_app(argv=[]): """ @@ -2048,13 +2052,14 @@ def get_main_app(argv=[]): app.setWindowIcon(newIcon("app")) # Tzutalin 201705+: Accept extra agruments to change predefined class file argparser = argparse.ArgumentParser() - argparser.add_argument("--lang", default='en', nargs="?") + argparser.add_argument("--lang", type=str, default='en', nargs="?") + argparser.add_argument("--gpu", type=str2bool, default=False, nargs="?") argparser.add_argument("--predefined_classes_file", default=os.path.join(os.path.dirname(__file__), "data", "predefined_classes.txt"), nargs="?") args = argparser.parse_args(argv[1:]) # Usage : labelImg.py 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z`F_L|o7zQABwJF|Q~?g)HZq7lO}gf6_?GsWtIR^^PGzWr>~0{GGpavWOtgj+%}Et! zC88R|$PQj{lS`B;RdJEx3cr<(`FbZCw?*$ja-pOC8afN=eNR9;}vcX z=2fqWp6$Nt@_NY`F0#nQvD{wSa)G9_N|9EW0M_{WBh%G$WauZ!hVYJl5|8`Y?#{f` zA;$E$Y@#cISt;5)0 zkI`DeRPD81RyuTNT}Y$mEYgDH@0}I5gXE5r*e)-IpZi>9l}-uOgH!Yzbw!p!@*r^< zB6n}D>7YV{&NZWZ^JTK6>?&RIhCcLp7{8pl&7v?Rp|b~*xVh0-q9vw)r~50zw+Ck+ zyy%t){aCPz35eqZRfMWA6}=1u^I+Pzb)@W~a+rOd+uH5Ej>Mt#S=cyr+Dci3#kiu* zF^Sb{F}G*eZ5l&ACbWDAfNOBn&)bezDpO42Ii>uEjYAB`j^dR8h!545M>e-?NzoG@ zqk{LKxirP6KWK~mtypL6n+z!S5Cb=)t?INPz*|NHcipmICds~>+o_b)u)#+?pid0s zSNL)*KMMnT^=^b)l8iEgLdD6|I+EswD*rV?m8Kl61z1~5cKAI1>Cb2|lB*i%oDCb_ ztjepCaYlCB#XmY){Vmt{B(u4%UzV`O0teK9mPu|;!Jvdts)UXGdV5!9x_5Xvlpt?j z%c0RYTEEpF=bX18cncDb`k@c(^L+n%CM0I<-1@Plc{=akga{C+XSV(C-kbkp(EmS% zOP1#UeO(H^^nW~a|Nrr+fl=5$WBh}`v$gsQj(Rgv%?fFGg-gI6H5KhAWlEMo{|~ Date: Wed, 2 Jun 2021 20:10:59 +0800 Subject: [PATCH 29/31] slim code --- paddleocr.py | 32 +++++----- tools/infer/utility.py | 136 +++++++++++++++++++++++------------------ 2 files changed, 91 insertions(+), 77 deletions(-) diff --git a/paddleocr.py b/paddleocr.py index 7c45c438..1e4d94ff 100644 --- a/paddleocr.py +++ b/paddleocr.py @@ -30,7 +30,7 @@ from ppocr.utils.logging import get_logger logger = get_logger() from ppocr.utils.utility import check_and_read_gif, get_image_file_list -from tools.infer.utility import draw_ocr, inference_args_list, str2bool, parse_args +from tools.infer.utility import draw_ocr, init_args, str2bool __all__ = ['PaddleOCR'] @@ -167,23 +167,23 @@ def maybe_download(model_storage_directory, url): os.remove(tmp_path) -def parse_args_whl(mMain=True): +def parse_args(mMain=True): import argparse - extend_args_list = [ - ['lang', str, 'ch'], - ['det', str2bool, True], - ['rec', str2bool, True], - ] - for item in inference_args_list: - if item[0] == 'rec_char_dict_path': - item[2] = None - inference_args_list.extend(extend_args_list) + parser = init_args() + parser.add_help = mMain + parser.add_argument("--lang", type=str, default='ch') + parser.add_argument("--det", type=str2bool, default=True) + parser.add_argument("--rec", type=str2bool, default=True) + + for action in parser._actions: + if action.dest == 'rec_char_dict_path': + action.default = None if mMain: - return parse_args() + return parser.parse_args() else: inference_args_dict = {} - for item in inference_args_list: - inference_args_dict[item[0]] = item[2] + for action in parser._actions: + inference_args_dict[action.dest] = action.default return argparse.Namespace(**inference_args_dict) @@ -194,7 +194,7 @@ class PaddleOCR(predict_system.TextSystem): args: **kwargs: other params show in paddleocr --help """ - postprocess_params = parse_args_whl(mMain=False) + postprocess_params = parse_args(mMain=False) postprocess_params.__dict__.update(**kwargs) self.use_angle_cls = postprocess_params.use_angle_cls lang = postprocess_params.lang @@ -318,7 +318,7 @@ class PaddleOCR(predict_system.TextSystem): def main(): # for cmd - args = parse_args_whl(mMain=True) + args = parse_args(mMain=True) image_dir = args.image_dir if image_dir.startswith('http'): download_with_progressbar(image_dir, 'tmp.jpg') diff --git a/tools/infer/utility.py b/tools/infer/utility.py index 7b543353..3f0ff2ff 100755 --- a/tools/infer/utility.py +++ b/tools/infer/utility.py @@ -23,6 +23,7 @@ import math from paddle import inference import time from ppocr.utils.logging import get_logger + logger = get_logger() @@ -30,77 +31,90 @@ def str2bool(v): return v.lower() in ("true", "t", "1") -inference_args_list = [ - # name type defalue +def init_args(): + parser = argparse.ArgumentParser() # params for prediction engine - ['use_gpu', str2bool, True], - ['use_tensorrt', str2bool, False], - ['use_fp16', str2bool, False], - ['use_pdserving', str2bool, False], - ['use_mp', str2bool, False], - ['enable_mkldnn', str2bool, False], - ['ir_optim', str2bool, True], - ['total_process_num', int, 1], - ['process_id', int, 0], - ['gpu_mem', int, 500], - ['cpu_threads', int, 10], + parser.add_argument("--use_gpu", type=str2bool, default=True) + parser.add_argument("--ir_optim", type=str2bool, default=True) + parser.add_argument("--use_tensorrt", type=str2bool, default=False) + parser.add_argument("--use_fp16", type=str2bool, default=False) + parser.add_argument("--gpu_mem", type=int, default=500) + # params for text detector - ['image_dir', str, None], - ['det_algorithm', str, 'DB'], - ['det_model_dir', str, None], - ['det_limit_side_len', float, 960], - ['det_limit_type', str, 'max'], + parser.add_argument("--image_dir", type=str) + parser.add_argument("--det_algorithm", type=str, default='DB') + parser.add_argument("--det_model_dir", type=str) + parser.add_argument("--det_limit_side_len", type=float, default=960) + parser.add_argument("--det_limit_type", type=str, default='max') + # DB parmas - ['det_db_thresh', float, 0.3], - ['det_db_box_thresh', float, 0.5], - ['det_db_unclip_ratio', float, 1.6], - ['max_batch_size', int, 10], - ['use_dilation', str2bool, False], - ['det_db_score_mode', str, 'fast'], + parser.add_argument("--det_db_thresh", type=float, default=0.3) + parser.add_argument("--det_db_box_thresh", type=float, default=0.5) + parser.add_argument("--det_db_unclip_ratio", type=float, default=1.6) + parser.add_argument("--max_batch_size", type=int, default=10) + parser.add_argument("--use_dilation", type=bool, default=False) + parser.add_argument("--det_db_score_mode", type=str, default="fast") # EAST parmas - ['det_east_score_thresh', float, 0.8], - ['det_east_cover_thresh', float, 0.1], - ['det_east_nms_thresh', float, 0.2], + parser.add_argument("--det_east_score_thresh", type=float, default=0.8) + parser.add_argument("--det_east_cover_thresh", type=float, default=0.1) + parser.add_argument("--det_east_nms_thresh", type=float, default=0.2) + # SAST parmas - ['det_sast_score_thresh', float, 0.5], - ['det_sast_nms_thresh', float, 0.2], - ['det_sast_polygon', str2bool, False], + parser.add_argument("--det_sast_score_thresh", type=float, default=0.5) + parser.add_argument("--det_sast_nms_thresh", type=float, default=0.2) + parser.add_argument("--det_sast_polygon", type=bool, default=False) + # params for text recognizer - ['rec_algorithm', str, 'CRNN'], - ['rec_model_dir', str, None], - ['rec_image_shape', str, '3, 32, 320'], - ['rec_char_type', str, "ch"], - ['rec_batch_num', int, 6], - ['max_text_length', int, 25], - ['rec_char_dict_path', str, './ppocr/utils/ppocr_keys_v1.txt'], - ['use_space_char', str2bool, True], - ['vis_font_path', str, './doc/fonts/simfang.ttf'], - ['drop_score', float, 0.5], + parser.add_argument("--rec_algorithm", type=str, default='CRNN') + parser.add_argument("--rec_model_dir", type=str) + parser.add_argument("--rec_image_shape", type=str, default="3, 32, 320") + parser.add_argument("--rec_char_type", type=str, default='ch') + parser.add_argument("--rec_batch_num", type=int, default=6) + parser.add_argument("--max_text_length", type=int, default=25) + parser.add_argument( + "--rec_char_dict_path", + type=str, + default="./ppocr/utils/ppocr_keys_v1.txt") + parser.add_argument("--use_space_char", type=str2bool, default=True) + parser.add_argument( + "--vis_font_path", type=str, default="./doc/fonts/simfang.ttf") + parser.add_argument("--drop_score", type=float, default=0.5) + # params for e2e - ['e2e_algorithm', str, 'PGNet'], - ['e2e_model_dir', str, None], - ['e2e_limit_side_len', float, 768], - ['e2e_limit_type', str, 'max'], + parser.add_argument("--e2e_algorithm", type=str, default='PGNet') + parser.add_argument("--e2e_model_dir", type=str) + parser.add_argument("--e2e_limit_side_len", type=float, default=768) + parser.add_argument("--e2e_limit_type", type=str, default='max') + # PGNet parmas - ['e2e_pgnet_score_thresh', float, 0.5], - ['e2e_char_dict_path', str, './ppocr/utils/ic15_dict.txt'], - ['e2e_pgnet_valid_set', str, 'totaltext'], - ['e2e_pgnet_polygon', str2bool, True], - ['e2e_pgnet_mode', str, 'fast'], + parser.add_argument("--e2e_pgnet_score_thresh", type=float, default=0.5) + parser.add_argument( + "--e2e_char_dict_path", type=str, default="./ppocr/utils/ic15_dict.txt") + parser.add_argument("--e2e_pgnet_valid_set", type=str, default='totaltext') + parser.add_argument("--e2e_pgnet_polygon", type=bool, default=True) + parser.add_argument("--e2e_pgnet_mode", type=str, default='fast') + # params for text classifier - ['use_angle_cls', str2bool, False], - ['cls_model_dir', str, None], - ['cls_image_shape', str, '3, 48, 192'], - ['label_list', list, ['0', '180']], - ['cls_batch_num', int, 6], - ['cls_thresh', float, 0.9], -] + parser.add_argument("--use_angle_cls", type=str2bool, default=False) + parser.add_argument("--cls_model_dir", type=str) + parser.add_argument("--cls_image_shape", type=str, default="3, 48, 192") + parser.add_argument("--label_list", type=list, default=['0', '180']) + parser.add_argument("--cls_batch_num", type=int, default=6) + parser.add_argument("--cls_thresh", type=float, default=0.9) + + parser.add_argument("--enable_mkldnn", type=str2bool, default=False) + parser.add_argument("--cpu_threads", type=int, default=10) + parser.add_argument("--use_pdserving", type=str2bool, default=False) + + parser.add_argument("--use_mp", type=str2bool, default=False) + parser.add_argument("--total_process_num", type=int, default=1) + parser.add_argument("--process_id", type=int, default=0) + + return parser def parse_args(): - parser = argparse.ArgumentParser() - for item in inference_args_list: - parser.add_argument('--' + item[0], type=item[1], default=item[2]) + parser = init_args() return parser.parse_args() @@ -217,8 +231,8 @@ def create_predictor(args, mode, logger): if hasattr(args, "cpu_threads"): config.set_cpu_math_library_num_threads(args.cpu_threads) else: - config.set_cpu_math_library_num_threads( - 10) # default cpu threads as 10 + # default cpu threads as 10 + config.set_cpu_math_library_num_threads(10) if args.enable_mkldnn: # cache 10 different shapes for mkldnn to avoid memory leak config.set_mkldnn_cache_capacity(10) From bceb4c8bd3f0e6456e0207480bf74a9cd28dbf47 Mon Sep 17 00:00:00 2001 From: MissPenguin Date: Wed, 2 Jun 2021 20:16:34 +0800 Subject: [PATCH 30/31] Update readme_en.md --- deploy/cpp_infer/readme_en.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/deploy/cpp_infer/readme_en.md b/deploy/cpp_infer/readme_en.md index 913ba1f9..365fc5ba 100644 --- a/deploy/cpp_infer/readme_en.md +++ b/deploy/cpp_infer/readme_en.md @@ -144,11 +144,11 @@ Among them, `paddle` is the Paddle library required for C++ prediction later, an ``` inference/ |-- det_db -| |--inference.pdparams -| |--inference.pdimodel +| |--inference.pdiparams +| |--inference.pdmodel |-- rec_rcnn -| |--inference.pdparams -| |--inference.pdparams +| |--inference.pdiparams +| |--inference.pdmodel ``` From c59e122b5595eb00f45f5dad7dbfbaf44e3bfce2 Mon Sep 17 00:00:00 2001 From: MissPenguin Date: Wed, 2 Jun 2021 20:17:02 +0800 Subject: [PATCH 31/31] Update readme.md --- deploy/cpp_infer/readme.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/deploy/cpp_infer/readme.md b/deploy/cpp_infer/readme.md index ee5a9ed4..2beb1b64 100644 --- a/deploy/cpp_infer/readme.md +++ b/deploy/cpp_infer/readme.md @@ -140,11 +140,11 @@ build/paddle_inference_install_dir/ ``` inference/ |-- det_db -| |--inference.pdparams -| |--inference.pdimodel +| |--inference.pdiparams +| |--inference.pdmodel |-- rec_rcnn -| |--inference.pdparams -| |--inference.pdparams +| |--inference.pdiparams +| |--inference.pdmodel ```