Pytorch-UNet
ros-semantic-segmentation-pytorch
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Pytorch-UNet | ros-semantic-segmentation-pytorch | |
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2 | 1 | |
8,358 | 10 | |
- | - | |
3.9 | 0.0 | |
2 months ago | 9 months ago | |
Python | Python | |
GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
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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!
ros-semantic-segmentation-pytorch
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How to run Machine Learning (PyTorch, Tensorflow) with ROS Melodic/Python 2.7?
As an example, this repo (https://github.com/pranay731/ros-semantic-segmentation-pytorch) seems to simply install ROS Melodic normally and some python 3 dependencies:
What are some alternatives?
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
ur_openai_gym - OpenAI Gym interface for Universal Robots with ROS Gazebo
lightning-hydra-template - Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.
Turtlebot2-On-Melodic - Make your Turtlebot2 runs on ROS Melodic (Ubuntu 18.04).
Wave-U-Net-for-Speech-Enhancement - Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.
dotmask
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