【OpenCV】人脸旋转角度计算

// SeetaFacesTest.cpp : 定义控制台应用程序的入口点。
//#include "stdafx.h"#include <iostream>
#include <cstdint>
#include <fstream>
#include <string>
#include <cmath>#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>  // Gaussian Blur#include "face_detection.h"
#include "face_alignment.h"using namespace cv;
using namespace std;int main()
{// Initialize face detection modelseeta::FaceDetection detector("seeta_fd_frontal_v1.0.bin");detector.SetMinFaceSize(80);detector.SetScoreThresh(2.f);detector.SetImagePyramidScaleFactor(0.8f);detector.SetWindowStep(4, 4);// Initialize face alignment model seeta::FaceAlignment point_detector("seeta_fa_v1.1.bin");//load imageconst char* picturename = "10.jpg";cv::Mat img_grayscale = cv::imread(picturename, 0);cv::Mat img_color = cv::imread(picturename, 1);if (img_grayscale.empty()){return 0;}seeta::ImageData img_data;img_data.data = img_grayscale.data;img_data.width = img_grayscale.cols;img_data.height = img_grayscale.rows;img_data.num_channels = 1;// Detect facesstd::vector<seeta::FaceInfo> faces = detector.Detect(img_data);int32_t face_num = static_cast<int32_t>(faces.size());if (face_num == 0){return 0;}// Detect 5 facial landmarksseeta::FacialLandmark points[5];point_detector.PointDetectLandmarks(img_data, faces[0], points);Rect face_rect;face_rect.x = faces[0].bbox.x;face_rect.y = faces[0].bbox.y;face_rect.width = faces[0].bbox.width;face_rect.height = faces[0].bbox.height;cv::Mat img_rect(img_grayscale, face_rect);  //截取脸部cv::namedWindow("img_grayscale", CV_WINDOW_NORMAL);cv::imshow("img_grayscale", img_rect);//-------计算角度--------int x1 = points[0].x;int y1 = points[0].y;int x2 = points[1].x;int y2 = points[1].y;cout << "0: " << x1 << ", " << y1 << endl;cout << "1: " << x2 << ", " << y2 << endl;double dX = (double)(x2 - x1);double dY = (double)(y2 - y1);float nAngle = (float)(atan(dY / dX)*180/3.1415926);cout << "nAngle:" << nAngle << endl;RotatedRect rrect(cvPoint(points[2].x, points[2].y), Size(face_rect.width, face_rect.height), nAngle);Point2f vertices[4];rrect.points(vertices);for (int i = 0; i < 4; i++){line(img_color, vertices[i], vertices[(i + 1) % 4], Scalar(0, 255, 150));}// Visualize the resultscv::rectangle(img_color, face_rect, Scalar(150, 255, 0), 5, 8, 0);for (int i = 0; i < 5; i++){cout << i << ": " << points[i].x << ", " << points[i].y << endl;cv::circle(img_color, cvPoint(points[i].x, points[i].y), 10, CV_RGB(0, 255, 0), CV_FILLED);}cv::namedWindow("result", CV_WINDOW_NORMAL);cv::resizeWindow("result", 484, 644);cv::imshow("result", img_color);cv::waitKey(0);cv::imwrite("result.jpg", img_color);return 0;
}

// SeetaFacesTest.cpp : 定义控制台应用程序的入口点。
//#include "stdafx.h"#include <iostream>
#include <cstdint>
#include <fstream>
#include <string>
#include <cmath>#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>  // Gaussian Blur#include "face_detection.h"
#include "face_alignment.h"using namespace cv;
using namespace std;//逆时针旋转图像degree角度（原尺寸）
void rotateImage(const cv::Mat src, const cv::Mat& img_rotate, double degree)
{//旋转中心为图像中心  Point2f center;center.x = float(src.cols / 2.0 + 0.5);center.y = float(src.rows / 2.0 + 0.5);int length = 0;length = sqrt(src.cols*src.cols + src.rows*src.rows);//计算二维旋转的仿射变换矩阵Mat M = getRotationMatrix2D(center, degree, 1);warpAffine(src, img_rotate, M, Size(length, length));//仿射变换
}int main()
{// Initialize face detection modelseeta::FaceDetection detector("seeta_fd_frontal_v1.0.bin");detector.SetMinFaceSize(80);detector.SetScoreThresh(2.f);detector.SetImagePyramidScaleFactor(0.8f);detector.SetWindowStep(4, 4);// Initialize face alignment model seeta::FaceAlignment point_detector("seeta_fa_v1.1.bin");//load imageconst char* picturename = "10.jpg";cv::Mat img_grayscale = cv::imread(picturename, 0);cv::Mat img_color = cv::imread(picturename, 1);if (img_grayscale.empty()){return 0;}seeta::ImageData img_data;img_data.data = img_grayscale.data;img_data.width = img_grayscale.cols;img_data.height = img_grayscale.rows;img_data.num_channels = 1;// Detect facesstd::vector<seeta::FaceInfo> faces = detector.Detect(img_data);int32_t face_num = static_cast<int32_t>(faces.size());if (face_num == 0){return 0;}// Detect 5 facial landmarksseeta::FacialLandmark points[5];point_detector.PointDetectLandmarks(img_data, faces[0], points);//Rect face_rect;//face_rect.x = faces[0].bbox.x;//face_rect.y = faces[0].bbox.y;//face_rect.width = faces[0].bbox.width;//face_rect.height = faces[0].bbox.height;//---------------------Rect face_rect;int tempx0 = points[0].x < points[3].x ? points[0].x : points[3].x;int tempx1 = points[1].x > points[4].x ? points[1].x : points[4].x;int nfaceW = (int)((tempx1 - tempx0)*2.2);int tempy0 = points[0].y > points[1].y ? points[0].y : points[1].y;int tempy1 = points[3].y > points[4].y ? points[3].y : points[4].y;int nfaceH = (int)((tempy1 - tempy0)*2.2);//int FaceWidth = (nfaceW > nfaceH ? nfaceW : nfaceH) * 1.3;int x0 = points[2].x - nfaceW / 2;int y0 = points[2].y - nfaceW / 2;int w0 = nfaceW;int h0 = nfaceW;face_rect.x = x0;face_rect.y = y0;face_rect.width = w0;face_rect.height = h0;cv::Mat img_rect(img_color, face_rect);  //截取脸部cv::circle(img_rect, cvPoint(img_rect.cols / 2, img_rect.rows / 2), 10, CV_RGB(0, 255, 0), CV_FILLED);cv::namedWindow("img_rect", CV_WINDOW_NORMAL);cv::imshow("img_rect", img_rect);cout << "img_rect : " << img_rect.cols << ", " << img_rect.rows << endl;//-------计算角度--------int x1 = points[0].x;int y1 = points[0].y;int x2 = points[1].x;int y2 = points[1].y;cout << "0: " << x1 << ", " << y1 << endl;cout << "1: " << x2 << ", " << y2 << endl;double dX = (double)(x2 - x1);double dY = (double)(y2 - y1);float Angle = (float)(atan(dY / dX)*180/3.1415926);cout << "nAngle:" << Angle << endl;//--------------------------------int length = 0;length = sqrt(img_rect.cols*img_rect.cols + img_rect.rows*img_rect.rows);cv::Mat tempImg(length, length, img_rect.type());//临时图像，大小和输出图像一样大int ROI_x = length / 2 - img_rect.cols / 2;//ROI矩形左上角的x坐标  int ROI_y = length / 2 - img_rect.rows / 2;//ROI矩形左上角的y坐标  Rect ROIRect(ROI_x, ROI_y, img_rect.cols, img_rect.rows);//ROI矩形  Mat tempImgROI2(tempImg, ROIRect);//tempImg的中间部分img_rect.copyTo(tempImgROI2);//将原图复制到tempImg的中心cv::namedWindow("tempImg", CV_WINDOW_NORMAL);cv::imshow("tempImg", tempImg);cv::Mat dst_image;Point2f center(float(length / 2.0), float(length / 2.0));//旋转中心Mat M = getRotationMatrix2D(center, (double)Angle, 1);//计算旋转的仿射变换矩阵warpAffine(tempImg, dst_image, M, Size(length, length));//仿射变换cout << "dst_image : " << dst_image.cols << ", " << dst_image.rows << endl;cv::circle(dst_image, cvPoint(dst_image.cols / 2, dst_image.rows / 2), 10, CV_RGB(150, 255, 0), CV_FILLED);cv::namedWindow("dst_image", CV_WINDOW_NORMAL);cv::imshow("dst_image", dst_image);//-----------------------int ndstfaceW = (int)((float)nfaceW/2.2*1.5);Rect dst_rect;dst_rect.x = dst_image.cols / 2 - ndstfaceW / 2;dst_rect.y = dst_image.rows / 2 - ndstfaceW / 2;dst_rect.width = ndstfaceW;dst_rect.height = ndstfaceW;cv::Mat img_dst_face(dst_image, dst_rect);  //截取脸部cv::namedWindow("img_dst_face", CV_WINDOW_NORMAL);cv::imshow("img_dst_face", img_dst_face);//-------------------RotatedRect rrect(cvPoint(points[2].x, points[2].y), Size(face_rect.width, face_rect.height), Angle);Point2f vertices[4];rrect.points(vertices);for (int i = 0; i < 4; i++){line(img_color, vertices[i], vertices[(i + 1) % 4], Scalar(0, 255, 150));}// Visualize the resultscv::rectangle(img_color, face_rect, Scalar(150, 255, 0), 5, 8, 0);for (int i = 0; i < 5; i++){cout << i << ": " << points[i].x << ", " << points[i].y << endl;cv::circle(img_color, cvPoint(points[i].x, points[i].y), 10, CV_RGB(0, 255, 0), CV_FILLED);}cv::namedWindow("result", CV_WINDOW_NORMAL);cv::resizeWindow("result", 484, 644);cv::imshow("result", img_color);cv::waitKey(0);cv::imwrite("result.jpg", img_color);return 0;
}

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