Skip to content

An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

License

Notifications You must be signed in to change notification settings

SkyTruth/icevision

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

logo

An Agnostic Computer Vision Framework


tests docs codecov PyPI version Downloads

black license Discord


IceVision is the first agnostic computer vision framework to offer a curated collection with hundreds of high-quality pre-trained models from Torchvision, Open MMLab's MMDetection, Ultralytic's YOLOv5, Ross Wightman's EfficientDet and soon PyTorch Image Models. It orchestrates the end-to-end deep learning workflow allowing to train networks with easy-to-use robust high-performance libraries such as PyTorch-Lightning and Fastai.

IceVision Unique Features:

  • Data curation/cleaning with auto-fix

  • Access to an exploratory data analysis dashboard

  • Pluggable transforms for better model generalization

  • Access to hundreds of neural net models

  • Access to multiple training loop libraries

  • Multi-task training to efficiently combine object detection, segmentation, and classification models

Installation

pip install icevision[all]

For more installation options, check our docs.

Important: We currently only support Linux/MacOS.

Quick Example: How to train the Fridge Objects Dataset

Open In Colab image

image

Happy Learning!

If you need any assistance, feel free to:

Join our Forum

About

An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

Resources

License

Code of conduct

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 99.4%
  • Other 0.6%