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[Doc] Rename PPOCRSystem to PPOCR and update comments. (#395)

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* Imporve OCR Readme

* Improve OCR Readme

* Improve OCR Readme

* Improve OCR Readme

* Improve OCR Readme

* Add Initialize function to PP-OCR

* Add Initialize function to PP-OCR

* Add Initialize function to PP-OCR

* Make all the model links come from PaddleOCR

* Improve OCR readme

* Improve OCR readme

* Improve OCR readme

* Improve OCR readme

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add Readme for vision results

* Add check for label file in postprocess of Rec model

* Add check for label file in postprocess of Rec model

* Add check for label file in postprocess of Rec model

* Add check for label file in postprocess of Rec model

* Add check for label file in postprocess of Rec model

* Add check for label file in postprocess of Rec model

* Add comments to create API docs

* Improve OCR comments

* Rename OCR and add comments

* Make sure previous python example works

* Make sure previous python example works

Co-authored-by: Jason <jiangjiajun@baidu.com>
This commit is contained in:
yunyaoXYY
2022-10-19 17:21:48 +08:00
committed by GitHub
parent 85e1c647f6
commit 24317e1a14
23 changed files with 380 additions and 186 deletions
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14
examples/vision/ocr/PP-OCRv3/cpp/infer.cc
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@@ -37,12 +37,12 @@ void InitAndInfer(const std::string& det_model_dir, const std::string& cls_model
assert(cls_model.Initialized());
assert(rec_model.Initialized());
// The classification model is optional, so the OCR system can also be connected in series as follows
// auto ocr_system_v3 = fastdeploy::application::ocrsystem::PPOCRSystemv3(&det_model, &rec_model);
auto ocr_system_v3 = fastdeploy::application::ocrsystem::PPOCRSystemv3(&det_model, &cls_model, &rec_model);
// The classification model is optional, so the PP-OCR can also be connected in series as follows
// auto ppocr_v3 = fastdeploy::pipeline::PPOCRv3(&det_model, &rec_model);
auto ppocr_v3 = fastdeploy::pipeline::PPOCRv3(&det_model, &cls_model, &rec_model);
if(!ocr_system_v3.Initialized()){
std::cerr << "Failed to initialize OCR system." << std::endl;
if(!ppocr_v3.Initialized()){
std::cerr << "Failed to initialize PP-OCR." << std::endl;
return;
}
@@ -50,14 +50,14 @@ void InitAndInfer(const std::string& det_model_dir, const std::string& cls_model
auto im_bak = im.clone();
fastdeploy::vision::OCRResult result;
if (!ocr_system_v3.Predict(&im, &result)) {
if (!ppocr_v3.Predict(&im, &result)) {
std::cerr << "Failed to predict." << std::endl;
return;
}
std::cout << result.Str() << std::endl;
auto vis_im = fastdeploy::vision::Visualize::VisOcr(im_bak, result);
auto vis_im = fastdeploy::vision::VisOcr(im_bak, result);
cv::imwrite("vis_result.jpg", vis_im);
std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
}