pytorch-segmentation
image-segmentation-keras
pytorch-segmentation | image-segmentation-keras | |
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1 | 2 | |
1,571 | 2,839 | |
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6.7 | 2.0 | |
about 1 month ago | 20 days ago | |
Jupyter Notebook | Python | |
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
image-segmentation-keras
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Any luck training Segnet?
I have tried other freely-available programs as well, such as this one, though not the only one: https://github.com/divamgupta/image-segmentation-keras
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Sky removal model or algorithm?
This works quite well and you can get it running quickly: https://github.com/divamgupta/image-segmentation-keras
What are some alternatives?
Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
STEGO - Unsupervised Semantic Segmentation by Distilling Feature Correspondences
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.
super-gradients - Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.