Stefan Romberg 9f417268b3 Fixed visualization by choosing the color appropriate to the detection ... Fixed visualization by choosing the color appropriate to the detection score. Previously the example showed all detections with the same color disregarding the confidence. This led to the impression that the object detection did not work at all because there are many detections with low confidences. PR to master was https://github.com/Itseez/opencv/pull/320		2013-01-24 10:01:18 +01:00
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example_cmake
adaptiveskindetector.cpp
agaricus-lepiota.data
airplane.jpg
baboon200_rotated.jpg
baboon200.jpg
baboon.jpg
bgfg_codebook.cpp
blobtrack_sample.cpp
box_in_scene.png
box.png
build_all.sh
calonder_params.xml
cat.jpg
cat.xml
CMakeLists.txt
contours.c
convert_cascade.c
cvsample.dsp
cvsample.vs2005.vcproj
delaunay.c
facedetect.cmd
facedetect.cpp	Fix build with STLPort from NDK r8d	2012-12-22 00:59:56 +04:00
fback_c.c
find_obj_calonder.cpp
find_obj_ferns.cpp
find_obj.cpp
fruits.jpg
intrinsics.yml
JCB.png
latentsvmdetect.cpp	Fixed visualization by choosing the color appropriate to the detection	2013-01-24 10:01:18 +01:00
lena.jpg
morphology.c
motempl.c
mser_sample.cpp
mushroom.cpp
one_way_sample.cpp
one_way_train_0000.jpg
one_way_train_0001.jpg
one_way_train_images.txt
polar_transforms.c
puzzle.png
pyramid_segmentation.c
scene_l.bmp
scene_r.bmp
stuff.jpg
tree_engine.cpp
tree.avi
waveform.data