yolov检测与分割的c代码_c++ code for yolov8 detection and segmentatio

# YOLOv8-CPP use your trained model on custom data for yolo task(detect/segment) for inference in cpp using libtorch or opencv. the output of the code is a like below: ``` std::vector<std::vector<Detection>> // first index is the batch number and second index is detected object number ``` The struct for each detected object: ``` struct Detection{ int class_id; // id of detected object float confidence; // confidence of detected object cv::Rect box; // bounding box of detected object cv::Mat mask; // binary mask of detected object (if you are using segment task) } ``` You can use either `cv::Mat` or `cv::cuda::GpuMat` for libtorch code.