wip/py-mahotas 1.1.0 NetBSD

Mahotas: Computer Vision Library

System: NetBSD
Repository: pkgsrc-wip
Maintainer: [email protected]
License: mit
Categories: wip, graphics, python

Description

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.

Install

From pkgsrc-wip (no binary package):

cd /usr/pkgsrc/wip/py-mahotas && make install clean

Dependency graph

Ports that need it on the left, what it needs to run on the right; at most 8 of each. "Dependencies" below lists them all.

graph LR
  me["wip/py-mahotas"]
  me --> d0["math/py-numpy"]
  classDef this fill:#ab2b28,color:#ffffff,stroke:#ab2b28
  class me this

Dependencies

Run dependencies 1

math/py-numpy

No port depends on this one.