FastDeploy/docs/docs_en/api/vision_results/ocr_result.md

OCR Results

The OCRResult function is defined in fastdeploy/vision/common/result.h , indicating the text box detected from the image, the text box direction classification, and the text content inside the text box.

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 that indicates the coordinates of all object boxes detected in a single image. boxes.size() indicates the number of boxes detected in a single image, with each box's 4 coordinate points being represented in order of 8 int values: lower left, lower right, upper right, upper left.
• text: Member variable that indicates the text content of multiple identified text boxes, with the same number of elements as boxes.size().
• rec_scores: Member variable that indicates the confidence level of the text identified in the text box, with the same number of elements as boxes.size().
• cls_scores: Member variable that indicates the confidence level of the classification result of the text box, with the same number of elements as boxes.size().
• cls_labels: Member variable that indicates the direction classification of the text box, with the same number of elements as boxes.size().
• Clear(): Member function that clears the results stored in a struct.
• Str(): Member function that outputs the information in the struct as a string (for Debug)

Python Definition

fastdeploy.vision.OCRResult  

• boxes: Member variable that indicates the coordinates of all object boxes detected in a single image. boxes.size() indicates the number of boxes detected in a single image, with each box's 4 coordinate points being represented in order of 8 int values: lower left, lower right, upper right, upper left.
• text: Member variable that indicates the text content of multiple identified text boxes, with the same number of elements as boxes.size().
• rec_scores: Member variable that indicates the confidence level of the text identified in the text box, with the same number of elements as boxes.size().
• cls_scores: Member variable that indicates the confidence level of the classification result of the text box, with the same number of elements as boxes.size().
• cls_labels: Member variable that indicates the direction classification of the text box, with the same number of elements as boxes.size().