pytorch-segmentation
HugsVision
| pytorch-segmentation | HugsVision | |
|---|---|---|
| 1 | 1 | |
| 1,571 | 188 | |
| - | - | |
| 6.7 | 0.0 | |
| about 1 month ago | 9 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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pytorch-segmentation
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Any luck training Segnet?
So I have read the paper on segnet and understood its architechture, and how the corresponding model has been written on the segnet.py file. I have a dataset and segmentation masks (in PNG). I came across the code given in this repo: https://github.com/yassouali/pytorch-segmentation
HugsVision
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[R] HugsVision: A easy-to-use HuggingFace wrapper for computer vision
Find more tutorials and informations about HugsVision on GitHub
What are some alternatives?
Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
STEGO - Unsupervised Semantic Segmentation by Distilling Feature Correspondences
fashionpedia-api - Python API for Fashionpedia Dataset
Subway-Station-Hazard-Detection - This project is part of the CS course 'Systems Engineering Meets Life Sciences II' at Goethe University Frankfurt. In this Computer Vision project, we developed a first prototype of a security system which uses the surveillance cameras at subway stations to recognize dangerous situations. The training data was artificially generated by a Unity-based simulation.
ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]
super-gradients - Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
CoordConv
Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Vision-Project-Image-Segmentation