shunsukeaihara / colorcorrect Goto Github PK
View Code? Open in Web Editor NEWLicense: MIT License
License: MIT License
colorcorrect by Shunsuke Aihara - http://argmax.jp date:: February 2012 description:: Imprement some of color correction algorithms require:: python2.6 or later numpy Pillow install:: % python setup.py build % python setup.py install impement algorithms:: gray world colorcorrect.algorithm.gray_world usage: image max white colorcorrect.algorithm.max_white usage: image stretch colorcorrect.algorithm.stretch usage: image retinex colorcorrect.algorithm.retinex usage: image retinex with adjust colorcorrect.algorithm.retinex_with_adjust usage: image standard deviation weighted grey world colorcorrect.algorithm.standard_deviation_weighted_grey_world usage: image,subblock width(default:20), subblock height(default:20) standard deviation and luminance weighted gray world colorcorrect.algorithm.standard_deviation_and_luminance_weighted_gray_world usage: image,subblock width(default:20), subblock height(default:20) luminance weighted gray world colorcorrect.algorithm.luminance_weighted_gray_world usage: image,subblock width(default:20), subblock height(default:20) automatic color equalization colorcorrect.algorithm.automatic_color_equalization usage: image,slope(default:10),limit(default:1000) sample usage:: >>> import Image >>> import colorcorrect.algorithm as cca >>> from colorcorrect.util import from_pil, to_pil >>> img = Image.open('/path/to/image') >>> to_pil(cca.stretch(from_pil(img))).show() References:: Denis. Nikitenko, M. Wirth and K. Trudel, "Applicability Of White-Balancing Algorithms to Restoring Faded Colour Slides: An Empirical Evaluation.", Journal of Multimedia, vol. 3, no. 5, 2008. HK. Lam, OC. Au and CW. Wong, "Automatic white balancing using luminance component and standard deviation of RGB components", in Proc. ICASSP, 2004. A. Rizzi, C. Gatta and D. Marini, "A new algorithm for unsupervised global and local color correction.", Pattern Recognition Letters, vol. 24, no. 11, 2003.
When you try to install this library through pip in a windows machine I get the error:
LINK : fatal error LNK1181: cannot open input file 'm.lib'
If you look in this link, you'll see that the math library is provided by a different library in windows:
>>> from ctypes.util import find_library
>>> find_library('m')
'msvcr90.dll'
I suggest changing the setup.py to this:
# -*- coding: utf-8 -*-
from setuptools import setup, Extension
import sys
import os
sys.path.append('./src')
sys.path.append('./test')
version = open('VERSION').read().strip()
libs = []
if os.name == 'posix':
libs.append('m')
setup(name='colorcorrect',
version=version,
description="imprement some of color correction algorithms",
long_description=open('README').read(),
classifiers=[],
keywords=('image-processing computer-vision'),
author='Shunsuke Aihara',
author_email='[email protected]',
url='http://www.bitbucket.org/aihara/colorcorrect',
license='MIT License',
package_dir={'': 'src'},
packages=['colorcorrect'],
ext_modules=[
Extension(
'colorcorrect._cutil', [
'cutil/cutil.cpp',
],
include_dirs=['cutil'],
libraries=libs,
extra_compile_args=[],
),
],
install_requires=["numpy", "Pillow", "six"],
test_requires=["nose"]
)
hello shunsukeaihara
In using your code outside the python setup, - ie, githubbed and called from my code with python 3.6.4 and numpy 1.14.0. on Ubuntu 16.04
In running standard_deviation_weighted_grey_world_python() I had to change the following line to make the call to lib.stride_tricks.as_strided() work
from>
shape = (height / subheight, width / subwidth, subheight, subwidth, 3)
to>
shape = (int(height / subheight), int(width / subwidth), subheight, subwidth, 3)
fyi
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.