Mahotas is a computer vision and image processing library for Python. It includes many algorithms implemented in C++ for speed while operating in numpy arrays and with a very clean Python interface. Notable algorithms: - Watershed - Convex points calculations - Hit & miss thinning - Zernike & Haralick, LBP, and TAS features - Freeimage-based numpy image loading - Speeded-Up Robust Features (SURF), a form of local features - Thresholding - Convolution - Sobel edge detection WWW: http://packages.python.org/mahotas/ com.tw/~lantw44/git/freebsd-ports-graphics' title='freebsd-ports-graphics Git repository'/>
aboutsummaryrefslogtreecommitdiffstats
path: root/news/husky-hptsqfix
Commit message (Expand)AuthorAgeFilesLines
* Add NO_STAGE all over the place in preparation for the staging support (cat: ...bapt2013-09-211-0/+1
* Do not define gmake usage after pre.mkbapt2013-07-121-8/+3
* Unbreak on !i386.fjoe2013-05-091-1/+1
* - Get Rid MD5 supportmiwi2011-03-201-1/+0