int test_getAffineTransform()
{
cv::Mat matSrc = cv::imread("E:/GitCode/OpenCV_Test/test_images/lena.png", 1);
if (!matSrc.data) {
std::cout << "read image fail" << std::endl;
return -1;
}
fbc::Point2f srcTri[3];
fbc::Point2f dstTri[3];
// Set your 3 points to calculate the Affine Transform
srcTri[0] = fbc::Point2f(0, 0);
srcTri[1] = fbc::Point2f(matSrc.cols - 1, 0);
srcTri[2] = fbc::Point2f(0, matSrc.rows - 1);
dstTri[0] = fbc::Point2f(matSrc.cols*0.0, matSrc.rows*0.33);
dstTri[1] = fbc::Point2f(matSrc.cols*0.85, matSrc.rows*0.25);
dstTri[2] = fbc::Point2f(matSrc.cols*0.15, matSrc.rows*0.7);
// Get the Affine Transform
fbc::Mat_<double, 1> warp_mat(2, 3);
int ret = fbc::getAffineTransform(srcTri, dstTri, warp_mat);
assert(ret == 0);
cv::Point2f srcTri_[3];
cv::Point2f dstTri_[3];
// Set your 3 points to calculate the Affine Transform
srcTri_[0] = cv::Point2f(0, 0);
srcTri_[1] = cv::Point2f(matSrc.cols - 1, 0);
srcTri_[2] = cv::Point2f(0, matSrc.rows - 1);
dstTri_[0] = cv::Point2f(matSrc.cols*0.0, matSrc.rows*0.33);
dstTri_[1] = cv::Point2f(matSrc.cols*0.85, matSrc.rows*0.25);
dstTri_[2] = cv::Point2f(matSrc.cols*0.15, matSrc.rows*0.7);
// Get the Affine Transform
cv::Mat warp_mat_(2, 3, CV_64FC1);
warp_mat_ = cv::getAffineTransform(srcTri_, dstTri_);
assert(warp_mat.cols == warp_mat_.cols && warp_mat.rows == warp_mat_.rows);
assert(warp_mat.step == warp_mat_.step);
for (int y = 0; y < warp_mat.rows; y++) {
const fbc::uchar* p = warp_mat.ptr(y);
const uchar* p_ = warp_mat_.ptr(y);
for (int x = 0; x < warp_mat.step; x++) {
assert(p[x] == p_[x]);
}
}
return 0;
}
int main(int argc, const char *argv[])
{
cv::Mat img;
cv::Mat warp_mat(3, 3, CV_32FC1);
char* source_window = "source";
char* dest_window = "destination";
int interpolation_method = 1;
char key;
img = cv::imread(argv[1], 1);
cv::namedWindow(source_window, CV_WINDOW_AUTOSIZE);
cv::namedWindow(dest_window, CV_WINDOW_AUTOSIZE);
cv::createTrackbar("interpolation", source_window, &interpolation_method, 4);
cv::imshow(source_window, img);
cv::Point2f src_points[4];
cv::Point2f des_points[4];
cv::setMouseCallback(dest_window, mousecallback, des_points);
src_points[0] = cv::Point2f( 0, 0 );
src_points[1] = cv::Point2f( img.cols-1, 0 );
src_points[2] = cv::Point2f( 0, img.rows-1 );
src_points[3] = cv::Point2f( img.cols-1, img.rows-1 );
des_points[0] = cv::Point2f( img.cols*0.25, img.rows*0.25 );
des_points[1] = cv::Point2f( img.cols*1.25, img.rows*0.25 );
des_points[2] = cv::Point2f( img.cols*0.25, img.rows*1.25 );
des_points[3] = cv::Point2f( img.cols*1.25, img.rows*1.25 );
cv::Mat desimg = cv::Mat::zeros(img.cols * 1.5, img.rows * 1.5, img.type());
for(;;){
warp_mat = cv::getPerspectiveTransform(src_points, des_points);
cv::warpPerspective(img, desimg, warp_mat, desimg.size(), interpolation_method);
cv::circle(desimg, des_points[0], PRADIUS, cv::Scalar(255, 0, 0), -1);
cv::circle(desimg, des_points[1], PRADIUS, cv::Scalar(0, 255, 0), -1);
cv::circle(desimg, des_points[2], PRADIUS, cv::Scalar(0, 0, 255), -1);
cv::circle(desimg, des_points[3], PRADIUS, cv::Scalar(0, 255, 255), -1);
cv::imshow(dest_window, desimg);
key = cv::waitKey(30);
if( key==27 )
break;
}
return 0;
}
void algoOpenCvResizeBorder(imgznd::OpenCvImgRepr &src,double dx,double dy)
{
cv::Point2f srcTri[3];
cv::Point2f dstTri[3];
/// Set your 3 points to calculate the Affine Transform
srcTri[0] = cv::Point2f( 0,0 );
srcTri[1] = cv::Point2f( src.cols - 1, 0 );
srcTri[2] = cv::Point2f( 0, src.rows - 1 );
dstTri[0] = cv::Point2f( 0 + dx / 2.0, 0 + dy / 2.0);
dstTri[1] = cv::Point2f( src.cols - 1 + dx / 2.0, 0 + dy / 2.0);
dstTri[2] = cv::Point2f( 0 + dx / 2.0, src.rows - 1 + dy / 2.0 );
/// Get the Affine Transform
cv::Mat warp_mat( 2, 3, CV_32FC1 );
warp_mat = cv::getAffineTransform( srcTri, dstTri );
cv::Size imgSize = src.size();
imgSize.width += dx;
imgSize.height += dy;
cv::warpAffine( src, src, warp_mat, imgSize );
}
int sift_affine(const char * filenameLeft , const char * filenameRight , double SIFTThreshold ,
unsigned int RANSACLoops ,
unsigned int stitchedBorder ,
double reprojectionThresholdX ,
double reprojectionThresholdY ,
unsigned int useOpenCVEstimator
)
{
fprintf(stderr,"Running SIFT on %s / %s \n" , filenameLeft , filenameRight);
cv::Mat left = cv::imread(filenameLeft , CV_LOAD_IMAGE_COLOR);
if(! left.data ) { fprintf(stderr,"Left Image missing \n"); return 1; }
cv::Mat right = cv::imread(filenameRight, CV_LOAD_IMAGE_COLOR);
if(! right.data ) { fprintf(stderr,"Right Image missing \n"); return 1; }
cv::DescriptorExtractor* extractor = new cv::SiftDescriptorExtractor();
cv::SiftFeatureDetector detector;
std::vector<cv::KeyPoint> keypointsLeft;
cv::Mat descriptorsLeft;
detector.detect(left, keypointsLeft);
extractor->compute(left, keypointsLeft, descriptorsLeft);
// Add results to image and save.
cv::Mat output;
cv::drawKeypoints(left, keypointsLeft, output);
cv::imwrite("sift_features_left.jpg", output);
std::vector<cv::KeyPoint> keypointsRight;
cv::Mat descriptorsRight;
detector.detect(right, keypointsRight);
extractor->compute(right, keypointsRight, descriptorsRight);
cv::drawKeypoints(right, keypointsRight, output);
cv::imwrite("sift_features_right.jpg", output);
//fprintf(stderr,"SIFT features ready \n");
std::vector<cv::Point2f> srcRANSACPoints;
std::vector<cv::Point2f> dstRANSACPoints;
std::vector<cv::Point2f> srcPoints;
std::vector<cv::Point2f> dstPoints;
findPairs( SIFTThreshold , keypointsLeft, descriptorsLeft, keypointsRight, descriptorsRight, srcPoints, dstPoints);
//printf("%zd keypoints are matched.\n", srcPoints.size());
visualizeMatches(
"sift_initial_match.jpg" ,
left ,
keypointsLeft,
descriptorsLeft,
right ,
keypointsRight,
descriptorsRight,
srcPoints,
dstPoints,
srcRANSACPoints,
dstRANSACPoints
);
cv::Mat warp_mat( 2, 3, CV_64FC1 );
double M[6]={0};
fitAffineTransformationMatchesRANSAC( RANSACLoops , reprojectionThresholdX , reprojectionThresholdY , M , warp_mat, srcPoints , dstPoints , srcRANSACPoints, dstRANSACPoints);
stitchAffineMatch(
"wrappedAffine.jpg" ,
stitchedBorder,
left ,
right ,
warp_mat
);
visualizeMatches(
"sift_affine_match.jpg" ,
left ,
keypointsLeft,
descriptorsLeft,
right ,
keypointsRight,
descriptorsRight,
srcPoints,
dstPoints ,
srcRANSACPoints,
dstRANSACPoints
);
cv::Mat homo_mat( 3, 3, CV_64FC1 );
double H[9]={0};
if (useOpenCVEstimator)
{
homo_mat = cv::findHomography(srcPoints , dstPoints , CV_RANSAC);
} else
{
fitHomographyTransformationMatchesRANSAC( RANSACLoops , reprojectionThresholdX , reprojectionThresholdY , H , homo_mat, srcPoints , dstPoints , srcRANSACPoints, dstRANSACPoints);
}
stitchHomographyMatch(
"wrappedHomography.jpg" ,
stitchedBorder,
left ,
right ,
homo_mat
);
visualizeMatches(
"sift_homography_match.jpg" ,
left ,
keypointsLeft,
descriptorsLeft,
right ,
keypointsRight,
descriptorsRight,
srcPoints,
dstPoints ,
srcRANSACPoints,
dstRANSACPoints
);
}
Mat AAM::findTransformationMatrix(Point2f from[3], Point2f to[3])
{
Mat warp_mat( 2, 3, CV_32FC1 );
warp_mat = getAffineTransform( from, to );
return warp_mat;
}
int test_warpAffine_uchar()
{
cv::Mat matSrc = cv::imread("E:/GitCode/OpenCV_Test/test_images/lena.png", 1);
if (!matSrc.data) {
std::cout << "read image fail" << std::endl;
return -1;
}
for (int interpolation = 0; interpolation < 5; interpolation++) {
fbc::Point2f srcTri[3];
fbc::Point2f dstTri[3];
// Set your 3 points to calculate the Affine Transform
srcTri[0] = fbc::Point2f(0, 0);
srcTri[1] = fbc::Point2f(matSrc.cols - 1, 0);
srcTri[2] = fbc::Point2f(0, matSrc.rows - 1);
dstTri[0] = fbc::Point2f(matSrc.cols*0.0, matSrc.rows*0.33);
dstTri[1] = fbc::Point2f(matSrc.cols*0.85, matSrc.rows*0.25);
dstTri[2] = fbc::Point2f(matSrc.cols*0.15, matSrc.rows*0.7);
// Get the Affine Transform
fbc::Mat_<double, 1> warp_mat(2, 3);
int ret = fbc::getAffineTransform(srcTri, dstTri, warp_mat);
assert(ret == 0);
fbc::Mat_<uchar, 3> mat(matSrc.rows, matSrc.cols, matSrc.data);
fbc::Mat_<uchar, 3> warp_dst;
warp_dst.zeros(mat.rows, mat.cols);
fbc::warpAffine(mat, warp_dst, warp_mat, interpolation);
cv::Point2f srcTri_[3];
cv::Point2f dstTri_[3];
// Set your 3 points to calculate the Affine Transform
srcTri_[0] = cv::Point2f(0, 0);
srcTri_[1] = cv::Point2f(matSrc.cols - 1, 0);
srcTri_[2] = cv::Point2f(0, matSrc.rows - 1);
dstTri_[0] = cv::Point2f(matSrc.cols*0.0, matSrc.rows*0.33);
dstTri_[1] = cv::Point2f(matSrc.cols*0.85, matSrc.rows*0.25);
dstTri_[2] = cv::Point2f(matSrc.cols*0.15, matSrc.rows*0.7);
// Get the Affine Transform
cv::Mat warp_mat_(2, 3, CV_64FC1);
warp_mat_ = cv::getAffineTransform(srcTri_, dstTri_);
// Set the dst image the same type and size as src
cv::Mat warp_dst_ = cv::Mat::zeros(matSrc.rows, matSrc.cols, matSrc.type());
cv::Mat mat_;
matSrc.copyTo(mat_);
// Apply the Affine Transform just found to the src image
cv::warpAffine(mat_, warp_dst_, warp_mat_, warp_dst_.size(), interpolation);
assert(warp_mat.cols == warp_mat_.cols && warp_mat.rows == warp_mat_.rows);
assert(warp_mat.step == warp_mat_.step);
for (int y = 0; y < warp_mat.rows; y++) {
const fbc::uchar* p = warp_mat.ptr(y);
const uchar* p_ = warp_mat_.ptr(y);
for (int x = 0; x < warp_mat.step; x++) {
assert(p[x] == p_[x]);
}
}
}
return 0;
}
void *affine_loop(void *number)
{
/*
if(set_single_core_affinity()!=EXIT_SUCCESS)
{
perror("Core Affinity");
}
*/
int block_size;
int max_files;
int i=0;
int section=0;
float pos[8]={0,0,1,0,0,1,1,1};
Point2f srcTri[4];
Point2f dstTri[4];
max_files=3601;
block_size=max_files/4;
Mat rot_mat( 2, 3, CV_32FC1 );
Mat warp_mat( 2, 3, CV_32FC1 );
// Output variables
Mat src, warp_dst, warp_rotate_dst;
struct thread_limits *ptr_obj = (struct thread_limits *) number;
int start_loop = ptr_obj->start_no;
int stop_loop = ptr_obj->stop_no;
/*------------------------- Starting the loop --------------------------*/
for (i=start_loop; i<=stop_loop; i++)
{
/*------------------------- Loading the Image --------------------------*/
if(option==1)
{
// Select the right frame
sprintf(frame_name2,"Sobel_frame_no_%05u.ppm",i);
// Load the Image
src = imread( frame_name2, 1 );
}
else
{
sprintf(frame_name,"Frame_no_%05u.ppm",i);
src = imread( frame_name, 1 );
}
/*---------------------- Affine Transform : Warp -----------------------*/
// Setting up the output image parameters
warp_dst = Mat::zeros( src.rows, src.cols, src.type() );
/*---------------------- Change the parameter values ----------------------*/
switch(section)
{
case 0:
{
pos[1]=pos[1]+0.001;
pos[2]=pos[2]-0.001;
pos[4]=pos[4]+0.001;
pos[7]=pos[7]-0.001;
// Setting parameters for matrix computation
srcTri[0] = Point2f( 0,0 );
srcTri[1] = Point2f( src.cols - 1, 0 );
srcTri[2] = Point2f( 0, src.rows - 1 );
srcTri[3] = Point2f( src.cols - 1, src.rows - 1 );
dstTri[0] = Point2f( src.cols*pos[0], src.rows*pos[1] );
dstTri[1] = Point2f( src.cols*pos[2], src.rows*pos[3] );
dstTri[2] = Point2f( src.cols*pos[4], src.rows*pos[5] );
dstTri[3] = Point2f( src.cols*pos[6], src.rows*pos[7] );
section=i/block_size;
//printf("Case 0: %u\t %f %f %f %f %f %f %f %f\n",i,pos[0],pos[1],pos[2],pos[3],pos[4],pos[5],pos[6],pos[7]);
break;
}
case 1:
{
pos[0]=pos[0]+0.001;
pos[3]=pos[3]+0.001;
pos[5]=pos[5]-0.001;
pos[6]=pos[6]-0.001;
// Setting parameters for matrix computation
srcTri[0] = Point2f( 0,0 );
srcTri[1] = Point2f( src.cols - 1, 0 );
srcTri[2] = Point2f( 0, src.rows - 1 );
srcTri[3] = Point2f( src.cols - 1, src.rows - 1 );
dstTri[0] = Point2f( src.cols*pos[0], src.rows*pos[1] );
dstTri[1] = Point2f( src.cols*pos[2], src.rows*pos[3] );
dstTri[2] = Point2f( src.cols*pos[4], src.rows*pos[5] );
dstTri[3] = Point2f( src.cols*pos[6], src.rows*pos[7] );
section=i/block_size;
//printf("Case 1: %u\t %f %f %f %f %f %f %f %f\n",i,pos[0],pos[1],pos[2],pos[3],pos[4],pos[5],pos[6],pos[7]);
break;
}
case 2:
{
pos[1]=pos[1]-0.001;
pos[2]=pos[2]+0.001;
pos[4]=pos[4]-0.001;
pos[7]=pos[7]+0.001;
// Setting parameters for matrix computation
srcTri[0] = Point2f( 0,0 );
srcTri[1] = Point2f( src.cols - 1, 0 );
srcTri[2] = Point2f( 0, src.rows - 1 );
srcTri[3] = Point2f( src.cols - 1, src.rows - 1 );
dstTri[0] = Point2f( src.cols*pos[0], src.rows*pos[1] );
dstTri[1] = Point2f( src.cols*pos[2], src.rows*pos[3] );
dstTri[2] = Point2f( src.cols*pos[4], src.rows*pos[5] );
dstTri[3] = Point2f( src.cols*pos[6], src.rows*pos[7] );
section=i/block_size;
//printf("Case 2: %u\t %f %f %f %f %f %f %f %f\n",i,pos[0],pos[1],pos[2],pos[3],pos[4],pos[5],pos[6],pos[7]);
break;
}
case 3:
{
pos[0]=pos[0]-0.001;
pos[3]=pos[3]-0.001;
pos[5]=pos[5]+0.001;
pos[6]=pos[6]+0.001;
// Setting parameters for matrix computation
srcTri[0] = Point2f( 0,0 );
srcTri[1] = Point2f( src.cols - 1, 0 );
srcTri[2] = Point2f( 0, src.rows - 1 );
srcTri[3] = Point2f( src.cols - 1, src.rows - 1 );
dstTri[0] = Point2f( src.cols*pos[0], src.rows*pos[1] );
dstTri[1] = Point2f( src.cols*pos[2], src.rows*pos[3] );
dstTri[2] = Point2f( src.cols*pos[4], src.rows*pos[5] );
dstTri[3] = Point2f( src.cols*pos[6], src.rows*pos[7] );
section=i/block_size;
//printf("Case 3: %u\t %f %f %f %f %f %f %f %f\n",i,pos[0],pos[1],pos[2],pos[3],pos[4],pos[5],pos[6],pos[7]);
break;
}
default:
{
//printf("Value: %d\n",section);
//perror("Default switch() case");
break;
}
}
// Calculate the Affine Transform matrix
warp_mat = getAffineTransform( srcTri, dstTri );
// Applying the Affine Transform to the src image
warpAffine( src, warp_dst, warp_mat, warp_dst.size() );
/*-------------------- Affine Transform : Rotate -----------------------*/
// Compute the Rotation Matrix Parameters
Point center = Point( warp_dst.cols/2, warp_dst.rows/2 );
double angle = ROTATION_ANGLE;
double scale = ISOTROPIC_SCALE_FACTOR;
// Generate the Rotation Matrix
rot_mat = getRotationMatrix2D( center, angle, scale );
// Rotate the Image
warpAffine( warp_dst, warp_rotate_dst, rot_mat, warp_dst.size() );
/*------------------------- Storing the Image ---------------------------*/
sprintf(frame_name3,"Affine_frame_no_%05u.ppm",i);
// Storing the Image
imwrite(frame_name3, warp_dst);
}
// End of 'for' loop
return NULL;
}