#313 · Primary category: Computer Vision

PixelLib

artificial-intelligence computer-vision convolutional-neural-networks deep-learning deeplab deeplearning image-segmentation instance-segmentation machine-learning maskr-cnn object-detection pointrend pytorch segmentation semantic-segmentation tensorflow video-segmentation

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

Project last updated:10/06/23

GitHub Stars

1.1K

Forks

268

Contributors

7

License

MIT

Why we included this project

PixelLib gets object segmentation working in a few lines of Python, covering both semantic and instance segmentation for images and videos without forcing you to assemble Mask R-CNN or PointRend by hand. It runs on both TensorFlow and PyTorch, which matters when a team is split across the two frameworks or in the middle of a migration. The PyTorch path uses PointRend for instance segmentation, which produces cleaner object boundaries and runs faster than the classic Mask R-CNN route; the author also adapted Detectron2's PointRend so it works on Windows, something the upstream code does not offer. Teams that mainly want accurate pixel-level masks without fighting the underlying model code will find it a practical shortcut.

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