OpenCV——入门，，猫脸检测

直接上代码

#include
#include

using namespace cv;
using namespace std;

String HarrFile = "D:\\OpenCV\\OpencvNewBuild\\install\\etc\\haarcascades\\haarcascade_frontalcatface_extended.xml";
String videoFile = "D:\\OpenCV\\videos\\cats.mp4";

CascadeClassifier faceHarr;
CascadeClassifier faceLbp;
size_t t;
int tt;
const char *INPUT = "input image";
const char *OUTPUT = "output image";
const char *CAMERA = "camera window";

int cnt = 0;

Mat img, dst, gray, frame;
VideoCapture cap;

int main(int, void*)
{
	img = imread("D:\\OpenCV\\images\\6.jpg");
	if (img.empty() || !faceHarr.load(HarrFile))
	{
		cout << "image loading failed..." << endl;
		waitKey(2000);
		return -1;
	}
	//namedWindow(INPUT, WINDOW_AUTOSIZE);
	//namedWindow(OUTPUT, WINDOW_AUTOSIZE);
	//namedWindow(CAMERA, WINDOW_AUTOSIZE);
	//imshow(INPUT, img);

	//cvtColor(img, gray, COLOR_RGB2GRAY);
	imshow("gray image", gray);
	//equalizeHist(gray, gray);

	//vectorcat;
	//faceHarr.detectMultiScale(gray, cat, 1.4, 3, 0, Size(30, 30));
	//for (size_t t = 0; t < cat.size(); t++)
	//{
	//	rectangle(img, cat[static_cast(t)], Scalar(0, 255, 0), 2, 8, 0);
	//}

	//imshow(OUTPUT, img);

	cap.open(videoFile);
	vectorcat;
	while (cap.read(frame))
	{
		cvtColor(frame, gray, COLOR_RGB2GRAY);
		equalizeHist(gray, gray);
		cnt++;
		if (cnt % 10 == 0)
		{
			cnt = 0;
			faceHarr.detectMultiScale(gray, cat, 1.1, 3, 0, Size(30, 30));
			for (t = 0; t < cat.size(); t++)
			{
				rectangle(frame, cat[t], Scalar(0, 0, 255), 2, 8, 0);
			}
			tt = t;
			string s = to_string(tt);
			putText(frame, "cat nums: " + s, Point(0, 50), FONT_HERSHEY_TRIPLEX, 1.0, Scalar(25, 128, 23), 2, 8);
			imshow(CAMERA, frame);
		}
		
		char c = waitKey(40);
		if (c == 27)
		{
			break;
		}
	}

	//imshow("gray window", gray);
	cap.release();

	waitKey(0);
	return 0;
}

没什么好说的，利用现有的级联分类器实现的

效果图如下

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