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manuele authored
- lowered memory usage (now the train use ~3x less memory) - improved speed (removed some bottlenecks and added fast_log) - added support to grayscale images - the LUV features are not computed if the image is grayscale (leads to an improved detection rate) - added various parameters (limit_ps, limit_bg, alpha, slidingStep, is_grayscale) - added detect() function for a better control of the resize factor
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Name |
Last commit
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Last update |
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adas | ||
bgsegm | ||
bioinspired | ||
ccalib | ||
cvv | ||
datasetstools | ||
face | ||
line_descriptor | ||
matlab | ||
optflow | ||
reg | ||
rgbd | ||
saliency | ||
surface_matching | ||
text | ||
tracking | ||
xfeatures2d | ||
ximgproc | ||
xobjdetect | ||
xphoto | ||
README.md |