Skip to main content

tensorflow 2 implemetation of yolo 3 with backbone extensions

Project description

Ultrayolo

https://img.shields.io/pypi/v/ultrayolo.svg https://img.shields.io/travis/fabiofumarola/ultrayolo.svg Documentation Status Updates

Tensorflow 2 implementation of yolo version 3. You only look once (YOLO) is a state-of-the-art, real-time object detection system

./images/example_image.png

Features

Ultrayolo implements YOLO object detection paper with the following backbones:

TODO

  • [ ] add support to tf.data to load datasets

  • [ ] add mean average precision evaluation script

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

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

ultrayolo-0.7.0.tar.gz (7.2 MB view hashes)

Uploaded source

Built Distribution

ultrayolo-0.7.0-py2.py3-none-any.whl (29.8 kB view hashes)

Uploaded py2 py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page