void loadImages(const std::string& format,
int num_frames,
const cv::Size& screen,
std::vector<cv::Mat>& images) {
images.clear();
int downsample = 0;
for (int t = 0; t < num_frames; t += 1) {
cv::Mat image;
std::string file = makeFrameFilename(format, t);
bool ok = readColorImage(file, image);
CHECK(ok) << "Could not load image";
if (t == 0) {
while (tooBig(image.size(), screen)) {
cv::pyrDown(image, image);
downsample += 1;
}
} else {
for (int i = 0; i < downsample; i += 1) {
cv::pyrDown(image, image);
}
}
images.push_back(image);
}
}
void ModelMaker::readData(int fileIndex, bool isSource){
char dFilePath[30], iFilePath[30];
sprintf(dFilePath, "data\\depthraw\\%d_raw.txt", fileIndex);
sprintf(iFilePath, "data\\color\\%d_color.png", fileIndex);
if(isSource){
cout << "Reading Source Image "<< fileIndex << "..." ;
readDepthImage(srcD, dFilePath);
readColorImage(srcI, iFilePath);
cout << " Source Point Cloud..." ;
srcPointCloud.clear();
srcColorCloud.clear();
getPointCloud(srcD, srcPointCloud, srcI, srcColorCloud, srcCenter);
}else{
cout << "Reading Destination Image "<< fileIndex << "..." ;
dstPointCloud.clear();
dstColorCloud.clear();
readDepthImage(dstD, dFilePath);
readColorImage(dstI, iFilePath);
cout << " Point Cloud...";
getPointCloud(dstD, dstPointCloud, dstI, dstColorCloud, dstCenter);
}
}
