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 const float meanVal = 127.5;//均值
12 const float scaleFactor = 0.007843f;
13 const char* classNames[] = { "background",
14 "aeroplane", "bicycle", "bird", "boat",
15 "bottle", "bus", "car", "cat", "chair",
16 "cow", "diningtable", "dog", "horse",
17 "motorbike", "person", "pottedplant",
18 "sheep", "sofa", "train", "tvmonitor" };
19 //模型文件
20 String modelFile = "D:/opencv3.3/opencv/sources/samples/data/dnn/MobileNetSSD_deploy.caffemodel";
21 //二进制描述文件
22 String model_text_file = "D:/opencv3.3/opencv/sources/samples/data/dnn/MobileNetSSD_deploy.prototxt";
23
24 int main(int argc, char** argv) {
25 VideoCapture capture;//读取视频
26 capture.open("01.mp4");
27 namedWindow("input", CV_WINDOW_AUTOSIZE);
28 int w = capture.get(CAP_PROP_FRAME_WIDTH);//获取视频宽度
29 int h = capture.get(CAP_PROP_FRAME_HEIGHT );//获取视频高度
30 printf("frame width : %d, frame height : %d", w, h);
31
32 // set up net
33 Net net = readNetFromCaffe(model_text_file, modelFile);
34
35 Mat frame;
36 while (capture.read(frame)) {
37 imshow("input", frame);
38
39 // 预测
40 Mat inputblob = blobFromImage(frame, scaleFactor, Size(width, height), meanVal, false);
41 net.setInput(inputblob, "data");
42 Mat detection = net.forward("detection_out");
43
44 // 绘制
45 Mat detectionMat(detection.size[2], detection.size[3], CV_32F, detection.ptr<float>());
46 float confidence_threshold = 0.25;//自信区间，越小检测到的物体越多（>=0.25)
47 for (int i = 0; i < detectionMat.rows; i++) {
48 float confidence = detectionMat.at<float>(i, 2);
49 if (confidence > confidence_threshold) {
50 size_t objIndex = (size_t)(detectionMat.at<float>(i, 1));
51 float tl_x = detectionMat.at<float>(i, 3) * frame.cols;
52 float tl_y = detectionMat.at<float>(i, 4) * frame.rows;
53 float br_x = detectionMat.at<float>(i, 5) * frame.cols;
54 float br_y = detectionMat.at<float>(i, 6) * frame.rows;
55
56 Rect object_box((int)tl_x, (int)tl_y, (int)(br_x - tl_x), (int)(br_y - tl_y));
57 rectangle(frame, object_box, Scalar(0, 0, 255), 2, 8, 0);
58 putText(frame, format("%s", classNames[objIndex]), Point(tl_x, tl_y), FONT_HERSHEY_SIMPLEX, 1.0, Scalar(255, 0, 0), 2);
59 }
60 }
61 imshow("ssd-video-demo", frame);
62 char c = waitKey(5);
63 if (c == 27) { // 如果ESC按下
64 break;
65 }
66 }
67 capture.release();
68 waitKey(0);
69 return 0;
70 }
