Skip to main content

Computer Vision made easy

Project description

EasyCV

Computer Vision made easy.

Build Status Documentation Status Binder

Documentation

We provide detailed documentation of all EasyCV modules on read the docs. You can view and run interactive examples here.

Installation

You can install EasyCV using pip or from source.

Using Pip

First ensure that you have the latest pip version to avoid dependency errors

pip install --upgrade pip

Then install EasyCV and all its dependencies using pip

pip install easycv

From Source

Clone the repository from github

git clone https://github.com/Resi-Coders/easycv.git
cd easycv
pip install .

You can view the list of all dependencies within the install_requires field of setup.py.

Running the tests

If you don't have pytest installed run

pip install pytest

To run all tests just run

cd easycv
pytest .

Versioning

SemVer is used for versioning. For available versions see the tags on this repository.

License

This project is licensed under the MIT License - see the LICENSE file for details

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

easycv-0.1.2.tar.gz (15.6 kB view hashes)

Uploaded Source

Built Distribution

easycv-0.1.2-py3.7.egg (94.7 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page