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2.7 KiB
2.7 KiB
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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().