imagepypelines-tools
accessory library to augment the image processing library imagepypelines
Readme
.. _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
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
FAQs
accessory library to augment the image processing library imagepypelines
We found that imagepypelines-tools demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Application Security
New SEC disclosure rules aim to enforce timely cyber incident reporting, but fear of job loss and inadequate resources lead to significant underreporting.
Security News
The Python Software Foundation has secured a 5-year sponsorship from Fastly that supports PSF's activities and events, most notably the security and reliability of the Python Package Index (PyPI).
Security News
LDAPjs, an LDAP Client and Server API for Node.js, was decommissioned after its maintainer received an abusive email from a user, raising concerns about this form of abuse as a potential attack vector.