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[Bug Fix] Fix PPOCR bug when cls model is not used (#695)
* 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 * Fix Rec model bug * Fix Rec model bug * Fix rec model bug * Add SetTrtMaxBatchSize function for TensorRT * Add SetTrtMaxBatchSize Pybind * Add set_trt_max_batch_size python function * Set TRT dynamic shape in PPOCR examples * Set TRT dynamic shape in PPOCR examples * Set TRT dynamic shape in PPOCR examples * Fix PPOCRv2 python example * Fix PPOCR dynamic input shape bug * Remove useless code * Fix PPOCR bug Co-authored-by: Jason <jiangjiajun@baidu.com>
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@@ -93,17 +93,19 @@ bool PPOCRv2::BatchPredict(const std::vector<cv::Mat>& images,
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std::vector<std::string>* text_ptr = &ocr_result.text;
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std::vector<std::string>* text_ptr = &ocr_result.text;
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std::vector<float>* rec_scores_ptr = &ocr_result.rec_scores;
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std::vector<float>* rec_scores_ptr = &ocr_result.rec_scores;
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if (!classifier_->BatchPredict(image_list, cls_labels_ptr, cls_scores_ptr)) {
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if (nullptr != classifier_){
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FDERROR << "There's error while recognizing image in PPOCR." << std::endl;
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if (!classifier_->BatchPredict(image_list, cls_labels_ptr, cls_scores_ptr)) {
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return false;
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FDERROR << "There's error while recognizing image in PPOCR." << std::endl;
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}else{
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return false;
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for (size_t i_img = 0; i_img < image_list.size(); ++i_img) {
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}else{
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if(cls_labels_ptr->at(i_img) % 2 == 1 && cls_scores_ptr->at(i_img) > classifier_->postprocessor_.cls_thresh_) {
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for (size_t i_img = 0; i_img < image_list.size(); ++i_img) {
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cv::rotate(image_list[i_img], image_list[i_img], 1);
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if(cls_labels_ptr->at(i_img) % 2 == 1 && cls_scores_ptr->at(i_img) > classifier_->postprocessor_.cls_thresh_) {
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cv::rotate(image_list[i_img], image_list[i_img], 1);
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}
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}
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}
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}
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}
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}
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}
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if (!recognizer_->BatchPredict(image_list, text_ptr, rec_scores_ptr)) {
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if (!recognizer_->BatchPredict(image_list, text_ptr, rec_scores_ptr)) {
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FDERROR << "There's error while recognizing image in PPOCR." << std::endl;
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FDERROR << "There's error while recognizing image in PPOCR." << std::endl;
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return false;
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return false;
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