mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-12-24 13:28:13 +08:00
02eab973ce
* 第一次提交 * 补充一处漏翻译 * deleted: docs/en/quantize.md * Update one translation * Update en version * Update one translation in code * Standardize one writing * Standardize one writing * Update some en version * Fix a grammer problem * Update en version for api/vision result * Merge branch 'develop' of https://github.com/charl-u/FastDeploy into develop * Checkout the link in README in vision_results/ to the en documents * Modify a title * Add link to serving/docs/ * Finish translation of demo.md
2.2 KiB
2.2 KiB
English | 中文
Face Detection Result
The FaceDetectionResult code is defined in fastdeploy/vision/common/result.h, and is used to indicate the target frames, face landmarks, target confidence and the number of landmark per face.
C++ Definition
fastdeploy::vision::FaceDetectionResult
struct FaceDetectionResult {
std::vector<std::array<float, 4>> boxes;
std::vector<std::array<float, 2>> landmarks;
std::vector<float> scores;
int landmarks_per_face;
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 boxes, each box is represented by 4 float values in order of xmin, ymin, xmax, ymax, i.e. the coordinates of the top left and bottom right corner. - scores: Member variable which indicates the confidence level of all targets detected in a single image, where the number of elements is the same as
boxes.size(). - landmarks: Member variable which indicates the keypoints of all faces detected in a single image, where the number of elements is the same as
boxes.size(). - landmarks_per_face: Member variable which indicates the number of keypoints in each face box.
- 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.FaceDetectionResult
- boxes(list of list(float)): Member variable which indicates the coordinates of all detected target boxes in a single frame. It is a list, and each element in it is also a list of length 4, representing a box with 4 float values representing xmin, ymin, xmax, ymax, i.e. the coordinates of the top left and bottom right corner.
- scores(list of float): Member variable which indicates the confidence level of all targets detected in a single image.
- landmarks(list of list(float)): Member variable which indicates the keypoints of all faces detected in a single image.
- landmarks_per_face(int): Member variable which indicates the number of keypoints in each face box.