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‎README.md

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# yolov5-seg-opencv-dnn-cpp
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使用opencv-dnn部署yolov5实例分割模型
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基于6.2版本的yolov5:https://github.com/ultralytics/yolov5
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**OpenCV>=4.5.0**
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```
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python export.py --weights yolov5s-seg.pt --img [640,640] --include onnx --dnn
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```
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#### 2022.10.10 更新：
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+ 0.opencv不支持动态推理，请不要加--dymanic导出onnx。
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+ 1.关于换行符，windows下面需要设置为CRLF，上传到github会自动切换成LF，windows下面切换一下即可<br>
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+ 2.有些小伙伴用版本为1.12.x的pytorch的时候，需要将
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https://github.com/ultralytics/yolov5/blob/c98128fe71a8676037a0605ab389c7473c743d07/export.py#L155
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这里的标志位改成```do_constant_folding=False, ```,否者opencv用dnn读取不了onnx文件
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以下为yolov5-seg.onnx运行结果：
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![](res/bus.bmp)
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![](res/zidane.bmp)

‎images/bus.jpg

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‎images/zidane.jpg

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‎main.cpp

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#include <iostream>
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#include<opencv2//opencv.hpp>
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#include<math.h>
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#include "yolo_seg.h"
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//#include"yolov5.h"
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using namespace std;
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using namespace cv;
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using namespace dnn;
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int yolov5_seg()
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{
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string img_path = "./images/bus.jpg";
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string model_path = "./models/yolov5s-seg.onnx";
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YoloSeg test;
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Net net;
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if (test.ReadModel(net, model_path, false)) {
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cout << "read net ok!" << endl;
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}
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else {
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return -1;
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}
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//生成随机颜色
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vector<Scalar> color;
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srand(time(0));
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for (int i = 0; i < 80; i++) {
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int b = rand() % 256;
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int g = rand() % 256;
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int r = rand() % 256;
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color.push_back(Scalar(b, g, r));
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}
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vector<OutputSeg> result;
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Mat img = imread(img_path);
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if (test.Detect(img, net, result)) {
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test.DrawPred(img, result, color);
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}
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else {
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cout << "Detect Failed!"<<endl;
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}
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system("pause");
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return 0;
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}
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//int yolov5()
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//{
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// string img_path = "./images/bus.jpg";
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// string model_path = "./models/yolov5s.onnx";
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// Yolo test;
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// Net net;
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// if (test.ReadModel(net, model_path, false)) {
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// cout << "read net ok!" << endl;
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// }
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// else {
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// return -1;
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// }
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// //生成随机颜色
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// vector<Scalar> color;
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// srand(time(0));
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// for (int i = 0; i < 80; i++) {
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// int b = rand() % 256;
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// int g = rand() % 256;
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// int r = rand() % 256;
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// color.push_back(Scalar(b, g, r));
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// }
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// vector<OutputSeg> result;
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// Mat img = imread(img_path);
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// if (test.Detect(img, net, result)) {
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// test.DrawPred(img, result, color);
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//
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// }
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// else {
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// cout << "Detect Failed!" << endl;
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// }
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// system("pause");
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// return 0;
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//}
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int main() {
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//yolov5(); //https://github.com/UNeedCryDear/yolov5-opencv-dnn-cpp
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yolov5_seg();
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return 0;
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}
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‎models/put_model_here

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‎res/bus.bmp

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‎res/zidane.bmp

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