SipMask
| SipMask | Vision-Project-Image-Segmentation | |
|---|---|---|
| 1 | 1 | |
| 333 | 0 | |
| - | - | |
| 0.0 | 2.6 | |
| about 3 years ago | about 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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SipMask
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What frameworks/libraries are suited for live instance segmentation?
SipMask is a fast instance segmentation in Pytorch.
Vision-Project-Image-Segmentation
What are some alternatives?
Yet-Another-EfficientDet-Pytorch - The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
automl - Google Brain AutoML
Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
cellpose - a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
rankseg - [JMLR 2023] RankSEG: A consistent ranking-based framework for segmentation
multi-object-tracking-in-python - 📡 implementation of multi object tracking algorithms including PMBM (Poisson Multi Bernoulli Mixture filter) in Python 🐍
HRNet-Semantic-Segmentation - The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Real-time-Semantic-Segmentation
OneFormer - OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023