如何设计网站首页导航,知名软装设计公司,网站下载器,免费学编程网站1、加载一张原图#xff0c;并识别人脸的68个特征点 cv::Mat img cv::imread(5.jpg);// 人脸68特征点的识别函数vectorPoint2f points_vec dectectFace68(img);// 大眼效果函数Mat dst0 on_BigEye(800, img, points_vec);2、函数
vectorPoint2f并识别人脸的68个特征点 cv::Mat img cv::imread(5.jpg);// 人脸68特征点的识别函数vectorPoint2f points_vec dectectFace68(img);// 大眼效果函数Mat dst0 on_BigEye(800, img, points_vec);2、函数
vectorPoint2f dectectFace68(Mat src)
{vectorPoint2f points_vec;int* pResults NULL;//在检测函数中使用了pBuffer。 //如果你调用多个线程中的函数请为每个线程创建一个缓冲区! unsigned char* pBuffer (unsigned char*)malloc(DETECT_BUFFER_SIZE);if (!pBuffer){fprintf(stderr, Can not alloc buffer.\n);//return 100;}Mat gray;cvtColor(src, gray, CV_BGR2GRAY);int doLandmark 1;// do landmark detection pResults facedetect_multiview_reinforce(pBuffer, (unsigned char*)(gray.ptr(0)), gray.cols, gray.rows, (int)gray.step,1.2f, 2, 48, 0, doLandmark);int cxa *pResults;ofstream file(facedata.txt, ios::out);//打印检测结果 if (0 cxa){}else{for (int i 0; i (pResults ? *pResults : 0); i){short* p ((short*)(pResults 1)) 142 * i;//rectangle(src, Rect(p[0], p[1], p[2], p[3]), Scalar(0, 255, 0), 2);if (doLandmark){for (int j 0; j 68; j){char c[8];_itoa(j, c, 10);Point2f ff(p[6 2 * j], p[6 2 * j 1]);points_vec.push_back(ff);file ff.x \t ff.y endl;/* circle(src, Point((int)p[6 2 * j], (int)p[6 2 * j 1]), 3, Scalar(0, 0, 255), 3);CvPoint font;putText(src, c, Point((int)p[6 2 * j], (int)p[6 2 * j 1]), FONT_HERSHEY_SIMPLEX, 0.5, Scalar(255, 23, 0), 1);*/}}}}return points_vec;
}// 双线性插值算法
void BilinearInsert(Mat src, Mat dst, float ux, float uy, int i, int j)
{auto Abs [](float f) {return f 0 ? f : -f;};int c src.channels();if (c 3){//存储图像得浮点坐标CvPoint2D32f uv;CvPoint3D32f f1;CvPoint3D32f f2;//取整数int iu (int)ux;int iv (int)uy;uv.x iu 1;uv.y iv 1;//step图象像素行的实际宽度 三个通道进行计算(0 , 1 2 三通道)f1.x ((uchar*)(src.data src.step * iv))[iu * 3] * (1 - Abs(uv.x - iu)) \((uchar*)(src.data src.step * iv))[(iu 1) * 3] * (uv.x - iu);f1.y ((uchar*)(src.data src.step * iv))[iu * 3 1] * (1 - Abs(uv.x - iu)) \((uchar*)(src.data src.step * iv))[(iu 1) * 3 1] * (uv.x - iu);f1.z ((uchar*)(src.data src.step * iv))[iu * 3 2] * (1 - Abs(uv.x - iu)) \((uchar*)(src.data src.step * iv))[(iu 1) * 3 2] * (uv.x - iu);f2.x ((uchar*)(src.data src.step * (iv 1)))[iu * 3] * (1 - Abs(uv.x - iu)) \((uchar*)(src.data src.step * (iv 1)))[(iu 1) * 3] * (uv.x - iu);f2.y ((uchar*)(src.data src.step * (iv 1)))[iu * 3 1] * (1 - Abs(uv.x - iu)) \((uchar*)(src.data src.step * (iv 1)))[(iu 1) * 3 1] * (uv.x - iu);f2.z ((uchar*)(src.data src.step * (iv 1)))[iu * 3 2] * (1 - Abs(uv.x - iu)) \((uchar*)(src.data src.step * (iv 1)))[(iu 1) * 3 2] * (uv.x - iu);((uchar*)(dst.data dst.step * j))[i * 3] f1.x * (1 - Abs(uv.y - iv)) f2.x * (Abs(uv.y - iv)); //三个通道进行赋值((uchar*)(dst.data dst.step * j))[i * 3 1] f1.y * (1 - Abs(uv.y - iv)) f2.y * (Abs(uv.y - iv));((uchar*)(dst.data dst.step * j))[i * 3 2] f1.z * (1 - Abs(uv.y - iv)) f2.z * (Abs(uv.y - iv));}
}//图像局部缩放算法
void LocalTranslationWarp_Eye(Mat img, Mat dst, int warpX, int warpY, int endX, int endY, float radius)
{//平移距离 float ddradius radius * radius;//计算|m-c|^2//size_t mc (endX - warpX) * (endX - warpX) (endY - warpY) * (endY - warpY);//计算 图像的高 宽 通道数量int height img.rows;int width img.cols;int chan img.channels();auto Abs [](float f) {return f 0 ? f : -f;};for (int i 0; i width; i){for (int j 0; j height; j){// # 计算该点是否在形变圆的范围之内//# 优化第一步直接判断是会在startX, startY)的矩阵框中if ((Abs(i - warpX) radius) (Abs(j - warpY) radius))continue;float distance (i - warpX) * (i - warpX) (j - warpY) * (j - warpY);if (distance ddradius){float rnorm sqrt(distance) / radius;float ratio 1 - (rnorm - 1) * (rnorm - 1) * 0.5;//映射原位置float UX warpX ratio * (i - warpX);float UY warpY ratio * (j - warpY);//根据双线性插值得到UX UY的值BilinearInsert(img, dst, UX, UY, i, j);}}}
}//大眼效果
Mat on_BigEye(int b, Mat src, vectorPoint2f points_vec)
{Mat dst src.clone();Point2f left_landmark points_vec[38];Point2f left_landmark_down points_vec[27];Point2f right_landmark points_vec[44];Point2f right_landmark_down points_vec[27];Point2f endPt points_vec[30];//# 计算第4个点到第6个点的距离作为距离/*float r_left sqrt((left_landmark.x - left_landmark_down.x) * (left_landmark.x - left_landmark_down.x) (left_landmark.y - left_landmark_down.y) * (left_landmark.y - left_landmark_down.y));cout 左眼距离: r_left;*/float r_left b;// # 计算第14个点到第16个点的距离作为距离//float r_right sqrt(// (right_landmark.x - right_landmark_down.x) * (right_landmark.x - right_landmark_down.x) // (right_landmark.y - right_landmark_down.y) * (right_landmark.y - right_landmark_down.y));//cout 右眼距离: r_right;float r_right b;// # 瘦左 //LocalTranslationWarp_Eye(src, dst, left_landmark.x, left_landmark.y, endPt.x, endPt.y, r_left);// # 瘦右LocalTranslationWarp_Eye(src, dst, right_landmark.x, right_landmark.y, endPt.x, endPt.y, r_right);return dst;
}
3、图像结果 大眼睛结果
