Metadata-Version: 2.1
Name: imagepypelines-tools
Version: 0.3.3a0
Summary: accessory library to augment the image processing library imagepypelines
Home-page: https://www.imagepypelines.org
Author: Jeff Maggio, Nathan Dileas, Ryan Hartzell
Author-email: jmaggio14@gmail.com
Maintainer: Jeff Maggio
Maintainer-email: jmaggio14@gmail.com
License: MIT
Download-URL: https://github.com/jmaggio14/imagepypelines-tools
Keywords: imaging-science machine-learning computer-vision data-pipelines docker
Platform: Windows
Platform: Linux
Platform: Mac OS-X
Platform: Unix
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Natural Language :: English
Requires-Python: >=3.4.*,!=3.7.*
Description-Content-Type: text/x-rst

======================
imagepypelines-tools
======================

.. _ImagePypelines: `https://github.com/jmaggio14/imagepypelines`

This repository contains two docker images which provide a full development
environment for those doing image processing, computer vision, or machine
learning development in python.

It includes:
    - imagepypelines (obviously :p)
    - Opencv (an optimized build)
    - tensorflow
    - keras
    - Pillow
    - sklearn
    - the usual suspects (scipy, numpy, etc)



This repository is an accessory to the open source image and data ImagePypelines_


*note that GPU usage requires separate installation of Nvidia-Docker*

These images are built to work in tandem with the pip package imagepypelines-tools.
To enter this docker environment simply:

.. code-block:: console

    pip install imagepypelines
    imagepypelines shell


--------------------
imagepypelines shell
--------------------

Standard

.. code-block:: console

    pip install imagepypelines
    imagepypelines shell

GPU Accelerated (limited to Linux hosts with Nvidia-Docker)

.. code-block:: console

    pip install imagepypelines
    imagepypelines shell --gpu


