Pytorch-UNet
unet-nested-multiple-classification
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Pytorch-UNet | unet-nested-multiple-classification | |
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2 | 1 | |
8,315 | 150 | |
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3.9 | 0.0 | |
2 months ago | about 4 years ago | |
Python | Python | |
GNU General Public License v3.0 only | - |
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Pytorch-UNet
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Trying to find resources for "Image Segmentation using RL"
Probably mean something like unet: https://github.com/milesial/Pytorch-UNet
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How to add a pyramid pooling in UNet++?
Hi! I will give you some resources that might help you understand(I didnt implement a network but I can answer more questions about how you can train it). 1 This link gives you a broad explanation about UNet. 2 This is a link to a UNet used for binary segmentation. 3 This is a step by step guide. The UNet++ that I posted is good for multiclass segmentation. If you need more advice feel free to reply. Good luck!
unet-nested-multiple-classification
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How to add a pyramid pooling in UNet++?
[1]: https://github.com/zonasw/unet-nested-multiple-classification/tree/bc90326f193974a5f91bd074498d984c4f0217ad
What are some alternatives?
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Wave-U-Net-for-Speech-Enhancement - Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
lightning-hydra-template - Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.
Speech-enhancement - Deep learning for audio denoising
deepdiff - DeepDiff: Deep Difference and search of any Python object/data. DeepHash: Hash of any object based on its contents. Delta: Use deltas to reconstruct objects by adding deltas together.
efficientdet-pytorch - A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
nested-multipart-parser - Parser for nested data for 'multipart/form'
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
scalpl - A lightweight wrapper to operate on nested dictionaries seamlessly. 👌