ocr_result.md

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OCR prediction result

The OCRResult code is defined in fastdeploy/vision/common/result.h, and is used to indicate the text box detected in the image, text box orientation classification, and the text content.

C++ Definition

fastdeploy::vision::OCRResult

struct OCRResult {
  std::vector<std::array<int, 8>> boxes;
  std::vector<std::string> text;
  std::vector<float> rec_scores;
  std::vector<float> cls_scores;
  std::vector<int32_t> cls_labels;
  ResultType type = ResultType::OCR;
  void Clear();
  std::string Str();
};

• boxes: Member variable which indicates the coordinates of all detected target boxes in a single image. boxes.size() indicates the number of detected boxes. Each box is represented by 8 int values to indicate the 4 coordinates of the box, in the order of lower left, lower right, upper right, upper left.
• text: Member variable which indicates the content of the recognized text in multiple text boxes, where the element number is the same as boxes.size().
• rec_scores: Member variable which indicates the confidence level of the recognized text, where the element number is the same as boxes.size().
• cls_scores: Member variable which indicates the confidence level of the classification result of the text box, where the element number is the same as boxes.size().
• cls_labels: Member variable which indicates the directional category of the textbox, where the element number is the same as boxes.size().
• Clear(): Member function used to clear the results stored in the structure.
• Str(): Member function used to output the information in the structure as string (for Debug).

Python Definition

fastdeploy.vision.OCRResult  

• boxes: Member variable which indicates the coordinates of all detected target boxes in a single image. boxes.size() indicates the number of detected boxes. Each box is represented by 8 int values to indicate the 4 coordinates of the box, in the order of lower left, lower right, upper right, upper left.
• text: Member variable which indicates the content of the recognized text in multiple text boxes, where the element number is the same as boxes.size().
• rec_scores: Member variable which indicates the confidence level of the recognized text, where the element number is the same as boxes.size().
• cls_scores: Member variable which indicates the confidence level of the classification result of the text box, where the element number is the same as boxes.size().
• cls_labels: Member variable which indicates the directional category of the textbox, where the element number is the same as boxes.size().