First C++ version of DCLM

This commit is contained in:
Tadas Baltrusaitis
2016-12-13 14:25:04 -05:00
parent 91890afd5b
commit dbdf008f90
17 changed files with 760 additions and 32 deletions

View File

@@ -160,6 +160,7 @@ void Patch_experts::Response(vector<cv::Mat_<float> >& patch_expert_responses, c
bool use_ccnf = !this->ccnf_expert_intensity.empty();
bool use_dpn = !this->dpn_expert_intensity.empty();
// If using CCNF patch experts might need to precalculate Sigmas
if(use_ccnf)
@@ -197,31 +198,36 @@ void Patch_experts::Response(vector<cv::Mat_<float> >& patch_expert_responses, c
#pragma omp parallel for
#endif
tbb::parallel_for(0, (int)n, [&](int i){
//for(int i = 0; i < n; i++)
// for(int i = 0; i < n; i++)
{
if(visibilities[scale][view_id].rows == n)
if (visibilities[scale][view_id].rows == n)
{
if(visibilities[scale][view_id].at<int>(i,0) != 0)
if (visibilities[scale][view_id].at<int>(i, 0) != 0)
{
// Work out how big the area of interest has to be to get a response of window size
int area_of_interest_width;
int area_of_interest_height;
if(use_ccnf)
if (use_dpn)
{
area_of_interest_width = window_size + ccnf_expert_intensity[scale][view_id][i].width - 1;
area_of_interest_height = window_size + ccnf_expert_intensity[scale][view_id][i].height - 1;
area_of_interest_width = window_size + dpn_expert_intensity[scale][view_id][i].width - 1;
area_of_interest_height = window_size + dpn_expert_intensity[scale][view_id][i].height - 1;
}
else if (use_ccnf)
{
area_of_interest_width = window_size + ccnf_expert_intensity[scale][view_id][i].width - 1;
area_of_interest_height = window_size + ccnf_expert_intensity[scale][view_id][i].height - 1;
}
else
{
area_of_interest_width = window_size + svr_expert_intensity[scale][view_id][i].width - 1;
area_of_interest_width = window_size + svr_expert_intensity[scale][view_id][i].width - 1;
area_of_interest_height = window_size + svr_expert_intensity[scale][view_id][i].height - 1;
}
// scale and rotate to mean shape to reference frame
cv::Mat sim = (cv::Mat_<float>(2,3) << a1, -b1, landmark_locations.at<double>(i,0), b1, a1, landmark_locations.at<double>(i+n,0));
cv::Mat sim = (cv::Mat_<float>(2, 3) << a1, -b1, landmark_locations.at<double>(i, 0), b1, a1, landmark_locations.at<double>(i + n, 0));
// Extract the region of interest around the current landmark location
cv::Mat_<float> area_of_interest(area_of_interest_height, area_of_interest_width);
@@ -229,15 +235,19 @@ void Patch_experts::Response(vector<cv::Mat_<float> >& patch_expert_responses, c
// Using C style openCV as it does what we need
CvMat area_of_interest_o = area_of_interest;
CvMat sim_o = sim;
IplImage im_o = grayscale_image;
IplImage im_o = grayscale_image;
cvGetQuadrangleSubPix(&im_o, &area_of_interest_o, &sim_o);
// get the correct size response window
patch_expert_responses[i] = cv::Mat_<float>(window_size, window_size);
// Get intensity response either from the SVR or CCNF patch experts (prefer CCNF)
if(!ccnf_expert_intensity.empty())
{
// Get intensity response either from the SVR, CCNF, or DPN patch experts (prefer DPN as they are the most accurate so far)
if (!dpn_expert_intensity.empty())
{
dpn_expert_intensity[scale][view_id][i].Response(area_of_interest, patch_expert_responses[i]);
}
else if (!ccnf_expert_intensity.empty())
{
ccnf_expert_intensity[scale][view_id][i].Response(area_of_interest, patch_expert_responses[i]);
}
@@ -245,14 +255,14 @@ void Patch_experts::Response(vector<cv::Mat_<float> >& patch_expert_responses, c
{
svr_expert_intensity[scale][view_id][i].Response(area_of_interest, patch_expert_responses[i]);
}
// if we have a corresponding depth patch and it is visible
if(!svr_expert_depth.empty() && !depth_image.empty() && visibilities[scale][view_id].at<int>(i,0))
if (!svr_expert_depth.empty() && !depth_image.empty() && visibilities[scale][view_id].at<int>(i, 0))
{
cv::Mat_<float> dProb = patch_expert_responses[i].clone();
cv::Mat_<float> depthWindow(area_of_interest_height, area_of_interest_width);
CvMat dimg_o = depthWindow;
cv::Mat maskWindow(area_of_interest_height, area_of_interest_width, CV_32F);
@@ -261,19 +271,19 @@ void Patch_experts::Response(vector<cv::Mat_<float> >& patch_expert_responses, c
IplImage d_o = depth_image;
IplImage m_o = mask;
cvGetQuadrangleSubPix(&d_o,&dimg_o,&sim_o);
cvGetQuadrangleSubPix(&m_o,&mimg_o,&sim_o);
cvGetQuadrangleSubPix(&d_o, &dimg_o, &sim_o);
cvGetQuadrangleSubPix(&m_o, &mimg_o, &sim_o);
depthWindow.setTo(0, maskWindow < 1);
svr_expert_depth[scale][view_id][i].ResponseDepth(depthWindow, dProb);
// Sum to one
double sum = cv::sum(patch_expert_responses[i])[0];
// To avoid division by 0 issues
if(sum == 0)
if (sum == 0)
{
sum = 1;
}
@@ -283,7 +293,7 @@ void Patch_experts::Response(vector<cv::Mat_<float> >& patch_expert_responses, c
// Sum to one
sum = cv::sum(dProb)[0];
// To avoid division by 0 issues
if(sum == 0)
if (sum == 0)
{
sum = 1;
}
@@ -295,6 +305,7 @@ void Patch_experts::Response(vector<cv::Mat_<float> >& patch_expert_responses, c
}
}
}
//}
}
});
@@ -327,7 +338,7 @@ int Patch_experts::GetViewIdx(const cv::Vec6d& params_global, int scale) const
//===========================================================================
void Patch_experts::Read(vector<string> intensity_svr_expert_locations, vector<string> depth_svr_expert_locations, vector<string> intensity_ccnf_expert_locations)
void Patch_experts::Read(vector<string> intensity_svr_expert_locations, vector<string> depth_svr_expert_locations, vector<string> intensity_ccnf_expert_locations, vector<string> intensity_dpn_expert_locations)
{
// initialise the SVR intensity patch expert parameters
@@ -365,6 +376,24 @@ void Patch_experts::Read(vector<string> intensity_svr_expert_locations, vector<s
Read_CCNF_patch_experts(location, centers[scale], visibilities[scale], ccnf_expert_intensity[scale], patch_scaling[scale]);
}
// Initialise and read CCNF patch experts (currently only intensity based),
int num_intensity_dpn = intensity_dpn_expert_locations.size();
// CCNF experts override the SVR ones
if (num_intensity_dpn > 0)
{
centers.resize(num_intensity_dpn);
visibilities.resize(num_intensity_dpn);
patch_scaling.resize(num_intensity_dpn);
dpn_expert_intensity.resize(num_intensity_dpn);
}
for (int scale = 0; scale < num_intensity_dpn; ++scale)
{
string location = intensity_dpn_expert_locations[scale];
cout << "Reading the intensity DPN patch experts from: " << location << "....";
Read_DPN_patch_experts(location, centers[scale], visibilities[scale], dpn_expert_intensity[scale], patch_scaling[scale]);
}
// initialise the SVR depth patch expert parameters
int num_depth_scales = depth_svr_expert_locations.size();
@@ -569,3 +598,56 @@ void Patch_experts::Read_CCNF_patch_experts(string patchesFileLocation, std::vec
}
}
//======================= Reading the DPN patch experts =========================================//
void Patch_experts::Read_DPN_patch_experts(string expert_location, std::vector<cv::Vec3d>& centers, std::vector<cv::Mat_<int> >& visibility, std::vector<std::vector<DPN_patch_expert> >& patches, double& scale)
{
ifstream patchesFile(expert_location.c_str(), ios::in | ios::binary);
if (patchesFile.is_open())
{
patchesFile.read((char*)&scale, 8);
int numberViews;
patchesFile.read((char*)&numberViews, 4);
// read the visibility
centers.resize(numberViews);
visibility.resize(numberViews);
patches.resize(numberViews);
// centers of each view (which view corresponds to which orientation)
for (size_t i = 0; i < centers.size(); i++)
{
cv::Mat center;
LandmarkDetector::ReadMatBin(patchesFile, center);
center.copyTo(centers[i]);
centers[i] = centers[i] * M_PI / 180.0;
}
// the visibility of points for each of the views (which verts are visible at a specific view
for (size_t i = 0; i < visibility.size(); i++)
{
LandmarkDetector::ReadMatBin(patchesFile, visibility[i]);
}
int numberOfPoints = visibility[0].rows;
// read the patches themselves
for (size_t i = 0; i < patches.size(); i++)
{
// number of patches for each view
patches[i].resize(numberOfPoints);
// read in each patch
for (int j = 0; j < numberOfPoints; j++)
{
patches[i][j].Read(patchesFile);
}
}
cout << "Done" << endl;
}
else
{
cout << "Can't find/open the patches file" << endl;
}
}