delete debug code
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@ -88,14 +88,9 @@ void CRNNRecognizer::Run(std::vector<std::vector<std::vector<int>>> boxes,
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std::cout << str_res[i];
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}
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std::cout << "\tscore: " << score << std::endl;
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auto box = boxes[i];
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std::cout << "box: " << box[0][0] << " " << box[0][1] << " " << box[1][0]
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<< " " << box[1][1] << " " << box[2][0] << " " << box[2][1]
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<< " " << box[3][0] << " " << box[3][1] << " " << std::endl;
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}
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}
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void CRNNRecognizer::LoadModel(const std::string &model_dir) {
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void CRNNRecognizer::LoadModel(const std::string &model_dir) {
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// AnalysisConfig config;
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paddle_infer::Config config;
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config.SetModel(model_dir + "/inference.pdmodel",
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@ -130,10 +125,10 @@ void CRNNRecognizer::LoadModel(const std::string &model_dir) {
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config.DisableGlogInfo();
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this->predictor_ = CreatePredictor(config);
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}
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}
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cv::Mat CRNNRecognizer::GetRotateCropImage(const cv::Mat &srcimage,
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std::vector<std::vector<int>> box) {
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cv::Mat CRNNRecognizer::GetRotateCropImage(
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const cv::Mat &srcimage, std::vector<std::vector<int>> box) {
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cv::Mat image;
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srcimage.copyTo(image);
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std::vector<std::vector<int>> points = box;
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@ -185,6 +180,6 @@ cv::Mat CRNNRecognizer::GetRotateCropImage(const cv::Mat &srcimage,
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} else {
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return dst_img;
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}
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}
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}
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} // namespace PaddleOCR
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