How to deploy yolov5 with Qt and OpenCV

< 3; n++) ///尺度 { int num_grid_x = (int)(this->

InpWidth / this- > stride [n]; int num_grid_y = (int) (this- > inpHeight / this- > stride [n]); int area = num_grid_x * num_grid_y; this- > sigmoid (& outs [n], 3 * nout * area); for (Q = 0; Q

< 3; q++) ///anchor数 { const float anchor_w = this->

Anchors [n] [Q * 2]; const float anchor_h = this- > anchors [n] [Q * 2 + 1]; float* pdata = (float*) outlets [n] .data + Q * nout * area; for (I = 0; I

< num_grid_y; i++) { for (j = 0; j < num_grid_x; j++) { float box_score = pdata[4 * area + i * num_grid_x + j]; if (box_score >

This- > objThreshold) {float max_class_socre = 0, class_socre = 0; int max_class_id = 0; for (c = 0; c

< 80; c++) get max socre { class_socre = pdata[(c + 5) * area + i * num_grid_x + j]; if (class_socre >

Max_class_socre) {max_class_socre = class_socre; max_class_id = c }} if (max_class_socre > this- > confThreshold) {float cx = (pdata [I * num_grid_x + j] * 2.f-0.5f + j) * this- > stride [n] / cx float cy = (pdata [area + I * num_grid_x + j] * 2.f-0.5f + I) * this- > stride [n]; / / cy float w = powf (pdata [2 * area + I * num_grid_x + j] * 2.f, 2.f) * anchor_w / w float h = powf (pdata [3 * area + I * num_grid_x + j] * 2.f, 2.f) * anchor_h; / h int left = (cx-0.5000w) * ratiow; int top = (cy-0.5shouh) * ratioh / / restore the coordinates to the original image classIds.push_back (max_class_id); confidences.push_back (max_class_socre); boxes.push_back (Rect (left, top, (int) (w*ratiow), (int) (h*ratioh) }} / / Perform non maximum suppression to eliminate redundant overlapping boxes with / / lower confidences vector indices; cv::dnn::NMSBoxes (boxes, confidences, this- > confThreshold, this- > nmsThreshold, indices); for (size_t I = 0; I

< indices.size(); ++i) { int idx = indices[i]; Rect box = boxes[idx]; this->

DrawPred (classIds [idx], confidences [idx], box.x, box.y, box.x + box.width, box.y + box.height, frame);} void YOLOV5::drawPred (int classId, float conf, int left, int top, int right, int bottom, Mat & frame) {rectangle (frame, Point (left, top), Point (right, bottom), Scalar (0,0,255), 3); string label = format ("% .2f", conf) Label = this- > classes [classId] + ":" + label; int baseLine; Size labelSize = getTextSize (label, FONT_HERSHEY_SIMPLEX, 0.5,1, & baseLine); top = max (top, labelSize.height); putText (frame, label, Point (left, top), FONT_HERSHEY_SIMPLEX, 0.75, Scalar (0,255,0), 1);} void YOLOV5::sigmoid (Mat * out, int length) {float* pdata = (float*) (out- > data) Int I = 0; for (I = 0; I

< length; i++) { pdata[i] = 1.0 / (1 + expf(-pdata[i])); }}三、效果演示

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