NoCodeSeg
Pytorch-UNet
| NoCodeSeg | Pytorch-UNet | |
|---|---|---|
| 1 | 2 | |
| 50 | 8,912 | |
| - | - | |
| 5.2 | 2.1 | |
| 3 months ago | about 1 month ago | |
| Jupyter Notebook | Python | |
| MIT License | GNU General Public License v3.0 only |
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NoCodeSeg
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!
What are some alternatives?
fCWT - The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
lightning-hydra-template - Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.
artificial-intelligence-and-machine-learning - A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm
Wave-U-Net-for-Speech-Enhancement - Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.
cucim - cuCIM - RAPIDS GPU-accelerated image processing library
unet-nested-multiple-classification - This repository contains code for a multiple classification image segmentation model based on UNet and UNet++
efficientdet-pytorch - A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
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.