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人脸五官识别移动侦测

于 2023-07-24 发布文件大小:13.10 MB

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人脸五官识别移动侦测 OpenCvSharp-3.2.0-x64-20170126 Features OpenCvSharp is modeled on the native OpenCV C/C++ API style as much as possible. Many classes of OpenCvSharp implement IDisposable. There is no need to manage unsafe resources. OpenCvSharp does not force object-oriented programming style on you. You can also call native-style OpenCV functions. OpenCvSharp provides functions for converting from Mat/IplImage into Bitmap(GDI+) or WriteableBitmap(WPF). OpenCvSharp can work on Mono. It can run on any platform which Mono supports (e.g. Linux).

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数字图像处理增加亮点和对比度
#include#includeusing namespace cv;int main() {Mat src,dst;src = imread("D:/ps/circle.png");int rows = src.rows;int cols = src.cols;float alpht = 1.8;float bea = 50;dst = Mat::zeros(src.size(), src.type());for (int row = 0; row < rows; row++) {for (int col = 0; col < cols; col++) {int b = src.at(row, col)[0];int g = src.at(row, col)[1];int r = src.at(row, col)[2];dst.at(row, col)[0] = saturate_cast(alpht*b + bea);dst.at(row, col)[1] = saturate_cast(alpht*g + bea);dst.at(row, col)[2] = saturate_cast(alpht*r + bea);}}namedWindow("s", CV_WINDOW_AUTOSIZE);namedWindow("d", CV_WINDOW_AUTOSIZE);imshow("s", src);imshow("d", dst);waitKey(0);r

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