pascal可实现分割的种类和显示颜色（BGR）可见pascalclasses.txt文件
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OpenCV
1 #include <opencv2/opencv.hpp>
2 #include <opencv2/dnn.hpp>
3 #include <iostream>
4
5 using namespace cv;
6 using namespace cv::dnn;
7 using namespace std;
8
9 const size_t width = 300;
10 const size_t height = 300;
11 String labelFile = "D:/opencv3.3/opencv/sources/samples/data/dnn/pascalclasses.txt";
12 String modelFile = "D:/opencv3.3/opencv/sources/samples/data/dnn/fcn8sheavypascalaffemodel";
13 String model_text_file = "D:/opencv3.3/opencv/sources/samples/data/dnn/fcn8sheavypascal.prototxt";
14
15 vector<Vec3b> readColors();
16 int main(int argc, char** argv)
22 namedWindow("input image", CV_WINDOW_AUTOSIZE);
23 imshow("input image", frame);
24 resize(frame, frame, Size(500, 500));//改变尺寸
25 vector<Vec3b> colors = readColors();
26 //
27 // init net 初始化网络
28 Net net = readNetFrCaffe(model_text_file, modelFile);
29 Mat blobImage = blobFrImage(frame);
30
31 // use net 使用网络
32 float time = getTickCount();
33 net.setInput(blobImage, "data");
34 Mat score = net.forward("score");
35 float tt = getTickCount() time;
36 printf("time consume: %.2f ms \n", (tt / getTickFrequency()) * 1000);
37
38 // segmentation and display 分割并显示
39 const int rows = score.size[2];
40 const int cols = score.size[3];
41 const int chns = score.size[1];
42 Mat maxCl(rows, cols, CV_8UC1);
43 Mat maxVal(rows, cols, CV_32FC1);
44
45 // setup LUT LUT查找
46 for (int c = 0; c < chns; c++)
56 }
57 }
58 }
59
60 // look up colors 找到对应颜色
61 Mat result = Mat::zeros(rows, cols, CV_8UC3);
62 for (int row = 0; row < rows; row++)
68 }
69 Mat dst;
70 imshow("FCNdemo1", result);
71 addWeighted(frame, 0.3, result, 0.7, 0, dst);//增加宽度
72 imshow("FCNdemo", dst);
73
74 waitKey(0);
75 return 0;
76 }
77
78 vector<Vec3b> readColors()
85 string line;
86 while (!fp.eof())
102 }
103 return colors;
104 }
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OpenCV
