IceVision is the first agnostic computer vision framework to offer a curated collection with hundreds of high-quality pre-trained models from torchvision, MMLabs, 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
pip install icevision[all]
For more installation options, check our docs.
Important: We currently only support Linux/MacOS.
If you need any assistance, feel free to:
FAQs
Agnostic Computer Vision Framework
We found that icevision demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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