./wip/py-mahotas, Mahotas: Computer Vision Library

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Branch: CURRENT, Version: 1.1.0, Package name: py312-mahotas-1.1.0, Maintainer: jihbed.research

Mahotas is a library of fast computer vision algorithms (all implemented in C++)
operates over numpy arrays for convenience.

Notable algorithms:
watershed.
convex points calculations.
hit & miss. thinning.
Zernike & Haralick, LBP, and TAS features.
freeimage based numpy image loading (requires freeimage libraries
to be installed).
Speeded-Up Robust Features (SURF), a form of local features.
thresholding.
convolution.
Sobel edge detection.
spline interpolation

Mahotas currently has over 100 functions for image processing and
computer vision and it keeps growing.


Required to run:
[devel/py-setuptools] [math/py-numpy] [lang/python37]

Required to build:
[pkgtools/cwrappers]

Master sites:

RMD160: 57a7818b423c7dfdbcf0e205312726af926a20f9
Filesize: 1481.382 KB

Version history: (Expand)

CVS history: (Expand)


   2014-06-01 14:49:35 by Thomas Klausner | Files touched by this commit (208) 
Log message:
Remove FETCH_USING.
It is a user-defined variable and should NOT be set in Makefiles.
   2014-02-18 22:20:51 by Kamel Derouiche | Files touched by this commit (4) 
Log message:
Import py27-mahotas-1.1.0 as wip/py-mahotas.

Mahotas is a library of fast computer vision algorithms (all implemented in C++)
operates over numpy arrays for convenience.

Notable algorithms:
watershed.
convex points calculations.
hit & miss. thinning.
Zernike & Haralick, LBP, and TAS features.
freeimage based numpy image loading (requires freeimage libraries
to be installed).
Speeded-Up Robust Features (SURF), a form of local features.
thresholding.
convolution.
Sobel edge detection.
spline interpolation

Mahotas currently has over 100 functions for image processing and
computer vision and it keeps growing.