clip the found objects in HOG as well (http://code.opencv.org/issues/3825); added test to check CascadeClassifier on small images (http://code.opencv.org/issues/3710)

This commit is contained in:
Vadim Pisarevsky
2015-05-28 21:02:27 +03:00
parent 8c3c6b31fc
commit 882c0321f4
4 changed files with 39 additions and 5 deletions

View File

@@ -41,6 +41,7 @@
//M*/
#include "precomp.hpp"
#include "cascadedetect.hpp"
#include "opencv2/core/core_c.h"
#include "opencl_kernels_objdetect.hpp"
@@ -1822,7 +1823,9 @@ static bool ocl_detectMultiScale(InputArray _img, std::vector<Rect> &found_locat
all_candidates.push_back(Rect(Point2d(locations[j]) * scale, scaled_win_size));
}
found_locations.assign(all_candidates.begin(), all_candidates.end());
cv::groupRectangles(found_locations, (int)group_threshold, 0.2);
groupRectangles(found_locations, (int)group_threshold, 0.2);
clipObjects(imgSize, found_locations, 0, 0);
return true;
}
#endif //HAVE_OPENCL
@@ -1878,6 +1881,7 @@ void HOGDescriptor::detectMultiScale(
groupRectangles_meanshift(foundLocations, foundWeights, foundScales, finalThreshold, winSize);
else
groupRectangles(foundLocations, foundWeights, (int)finalThreshold, 0.2);
clipObjects(imgSize, foundLocations, 0, &foundWeights);
}
void HOGDescriptor::detectMultiScale(InputArray img, std::vector<Rect>& foundLocations,