Metadata-Version: 1.1
Name: prox-tv-SDIST
Version: 3.3.1
Summary: Toolbox for fast Total Variation proximity operators
Home-page: https://github.com/albarji/proxTV
Author: Alvaro Barbero, Suvrit Sra, Josip Djolonga (python bindings)
Author-email: alvaro.barbero@inv.uam.es
License: BSD
Description: 
        FORK BY WSDEWITT FOR SDIST DEPLOYMENT
        
        proxTV is a toolbox implementing blazing fast implementations of Total Variation
        proximity operators. While the core algorithms are implemented in C to achieve high
        efficiency, Matlab and Python interfaces are provided for ease of use. The library
        provides efficient solvers for a variety of Total Variation proximity problems, with
        address input signals of any dimensionality (1d, images, video, ...) and different
        norms to apply in the Total Variation term.
        
Keywords: total variation image processing machine learning
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: POSIX :: Linux
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
