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OpenCV Test.cpp
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243 lines (223 loc) · 8.17 KB
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#include <dlib/image_processing/frontal_face_detector.h>
#include <dlib/image_processing.h>
#include <dlib/image_io.h>
#include <dlib/opencv/cv_image.h>
#include <opencv2/opencv.hpp>
#include <stdio.h>
#define CLASSIFIER_PATH "C:\\Users\\장예위\\Desktop\\숙제\\avatar control\\shape_predictor_68_face_landmarks.dat"
#define IMG_PATH "C:\\Users\\장예위\\Desktop\\숙제\\avatar control\\장예위.bmp"
#define POSE_PATH "C:\\Users\\장예위\\Desktop\\숙제\\avatar control\\poggers.bmp"
#define TRIANGLE_PATH "C:\\Users\\장예위\\Desktop\\숙제\\avatar control\\triangles.txt"
#define VIDEO_PATH "C:\\Users\\장예위\\Desktop\\숙제\\avatar control\\expression test.mp4"
#define VIDEO_OUTPUT_PATH "video.mp4"
#define POINT_N 68
#define OUTER_POINT_N 27
#define FACELINE_POINT_N 17
using namespace dlib;
using namespace std;
using namespace cv;
Mat getFaceMask(Mat img, Point ppt[POINT_N]) {
Mat pointCircle;
Mat mask;
Point pointList[1][OUTER_POINT_N];
int i;
int pointN[] = { OUTER_POINT_N };
printf("getFaceMask\n");
for (i = 0; i < FACELINE_POINT_N; i++) {
pointList[0][i] = ppt[i];
}
for (i = FACELINE_POINT_N; i < OUTER_POINT_N; i++) {
pointList[0][i] = ppt[OUTER_POINT_N - (i - FACELINE_POINT_N) - 1];
}
const Point* pointArr[1] = { pointList[0] };
mask = Mat::zeros(img.size(), CV_8UC3);
pointCircle = Mat::zeros(img.size(), CV_8UC3);
//imshow("mask", mask);
waitKey(10);
/*for (i = 0; i < OUTER_POINT_N; i++) {
//printf("%d:%d %d\n", i, pointArr[0][i].x, pointArr[0][i].y);
circle(pointCircle, pointArr[0][i], 10, Scalar(255, 255, 255), -1);
}*/
fillPoly(mask, pointArr, pointN, 1, Scalar(255, 255, 255));
// printf("done fillPoly");
//imshow("mask", mask);
//imshow("pointCircle", pointCircle);
waitKey(10);
return mask;
}
int findPoint(Point list[POINT_N], int x, int y) {
int i;
for (i = 0; i < POINT_N; i++) {
if (list[i].x == x && list[i].y == y) {
return i;
}
}
return -1;
}
Mat getTriangleMask(Mat img, Point ppt[3]) {
Mat pointCircle;
Mat mask;
Point pointList[1][OUTER_POINT_N];
int i;
int pointN[] = { 3 };
//printf("getFaceMask\n");
for (i = 0; i < 3; i++) {
pointList[0][i] = ppt[i];
}
const Point* pointArr[1] = { pointList[0] };
mask = Mat::zeros(img.size(), CV_8UC3);
fillPoly(mask, pointArr, pointN, 1, Scalar(255, 255, 255));
// printf("done fillPoly");
return mask;
}
Mat morphTriangle(Mat originalTri, Point src[3], Point dst[3], Size resultSize) {
Mat warpMat;
Mat result;
Point2f srcf[3], dstf[3];
int i;
result = Mat::zeros(resultSize, CV_8UC3);
for (i = 0; i < 3; i++) {
srcf[i] = Point2f((float)src[i].x, (float)src[i].y);
dstf[i] = Point2f((float)dst[i].x, (float)dst[i].y);
}
warpMat = getAffineTransform(srcf, dstf);
warpAffine(originalTri, result, warpMat, resultSize);
return result;
}
void putFaceOn(Mat* dst, Mat originalFace, Mat background, Size resultSize, Point originalPList[POINT_N], Point posePList[POINT_N], std::vector<std::array<int, 3>>triangleList) {
int i, j;
int triangleN;
std::array<int, 3> trianglePtArr;
Mat originalImage;
Mat resultImage;
Mat onlyTriangle, triMask;
Mat warpedTriangle;
Point srcTri[3];
Point dstTri[3];
int tmpX, tmpY;
originalImage = originalFace;
triangleN = triangleList.size();
//background.copyTo(resultImage);
background = Mat::zeros(resultSize, CV_8UC3);
for (i = 0; i < triangleN; i++) {
//printf("i:%d\n", i);
srcTri[0] = originalPList[triangleList[i][0]];
srcTri[1] = originalPList[triangleList[i][1]];
srcTri[2] = originalPList[triangleList[i][2]];
dstTri[0] = posePList[triangleList[i][0]];
dstTri[1] = posePList[triangleList[i][1]];
dstTri[2] = posePList[triangleList[i][2]];
triMask = getTriangleMask(originalImage, srcTri);
bitwise_and(originalImage, triMask, onlyTriangle);
warpedTriangle = morphTriangle(onlyTriangle, srcTri, dstTri, resultSize);
Mat grayWarpedTriangle, copyMask;
cvtColor(warpedTriangle, grayWarpedTriangle, COLOR_BGR2GRAY);
threshold(warpedTriangle, copyMask, 1, 255, THRESH_BINARY);
copyTo(warpedTriangle, resultImage, copyMask);
}
imshow("result", resultImage);
resultImage.copyTo(*dst);
return;
}
void getPoints(frontal_face_detector detector, shape_predictor sp, Mat image, Point* result) {
int i, j;
array2d<rgb_pixel> img;
std::vector<dlib::rectangle> dets;
std::vector<full_object_detection> shapes;
assign_image(img, cv_image<bgr_pixel>(image));
dets = detector(img);
//cout << "Number of faces detected: " << dets.size() << endl;
for (j = 0; j < dets.size(); ++j)
{
full_object_detection shape = sp(img, dets[j]);
shapes.push_back(shape);
}
if (shapes.size() > 0) {
for (i = 0; i < shapes[0].num_parts(); i++) {
//circle(image, Point(shapes[0].part(i).x(), shapes[0].part(i).y()), 2, Scalar(0, 0, 255), -1);
result[i] = Point(shapes[0].part(i).x(), shapes[0].part(i).y());
}
}
return;
}
int main()
{
int i, j;
Mat image;
Mat poseImage;
Mat triangleImg;
VideoCapture vidCap;
VideoWriter vidWrit;
float videoFPS;
int videoWidth;
int videoHeight;
int videoLength;
std::vector<full_object_detection> shapes;
frontal_face_detector detector = get_frontal_face_detector();
shape_predictor sp;
FILE* fOutTri = fopen("triangles.txt", "w");
FILE* fOutPnt = fopen("Points.txt", "w");
Point pListOriginal[POINT_N];
Point pListPose[POINT_N];
std::vector<std::array<int, 3>> triangle;
int triangleN;
FILE* fTriangle = fopen(TRIANGLE_PATH, "r");
FILE* fPoints = fopen("C:\\Users\\장예위\\Desktop\\숙제\\avatar control\\imagePoint.txt", "r");
int tmpX, tmpY;
Mat imgCopy;
deserialize(CLASSIFIER_PATH) >> sp;
// video.open(VIDEO_PATH);
image = imread(IMG_PATH, IMREAD_ANYCOLOR);
if (image.empty()) {
printf("can't open image!\n");
return -1;
}
/*if (image.rows > 800 || image.cols > 800) {
resize(image, image, Size(image.cols / 2, image.rows / 2));
}*/
imshow("originalImage", image);
vidCap.open(VIDEO_PATH);
if (!vidCap.isOpened()) {
printf("can't open video!\n");
return -1;
}
videoFPS = vidCap.get(CAP_PROP_FPS);
videoWidth = vidCap.get(CAP_PROP_FRAME_WIDTH);
videoHeight = vidCap.get(CAP_PROP_FRAME_HEIGHT);
videoLength = vidCap.get(CAP_PROP_FRAME_COUNT);
vidWrit.open(VIDEO_OUTPUT_PATH, VideoWriter::fourcc('M', 'P', '4', 'V'), videoFPS, Size(videoWidth, videoHeight), true);
if (!vidWrit.isOpened()) {
printf("can't write video!\n");
return -1;
}
namedWindow("result");
printf("imread done!\n");
waitKey(10);
fscanf(fTriangle, "%d", &triangleN);
for (i = 0; i < triangleN; i++) {
std::array<int, 3> tmpArray;
fscanf(fTriangle, "%d %d %d", &tmpArray[0], &tmpArray[1], &tmpArray[2]);
triangle.push_back(tmpArray);
}
getPoints(detector, sp, image, pListOriginal);
/*image.copyTo(imgCopy);
for (i = 0; i < POINT_N; i++) {
fscanf(fPoints, "%d %d", &tmpX, &tmpY);
pListOriginal[i] = Point(tmpX, tmpY);
circle(imgCopy, pListOriginal[i], 5, Scalar(0, 0, 255),-1);
}
imshow("imgCopy", imgCopy);*/
for (i = 0; i < videoLength; i++) {
vidCap.read(poseImage);
imshow("poseImage", poseImage);
waitKey(1);
getPoints(detector, sp, poseImage, pListPose);
printf("got points");
putFaceOn(&triangleImg, image, poseImage, poseImage.size(), pListOriginal, pListPose, triangle);
imshow("result", triangleImg);
waitKey(1);
printf("%d %% done!\n", i * 100 / videoLength);
vidWrit.write(triangleImg);
}
return 0;
}