ros-semantic-segmentation-pytorch
Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL (by pranay731)
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark. (by open-mmlab)
| ros-semantic-segmentation-pytorch | mmsegmentation | |
|---|---|---|
| 1 | 7 | |
| 10 | 7,414 | |
| - | 1.8% | |
| 0.0 | 8.2 | |
| 10 months ago | 9 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ros-semantic-segmentation-pytorch
Posts with mentions or reviews of ros-semantic-segmentation-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-30.
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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:
mmsegmentation
Posts with mentions or reviews of mmsegmentation.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-06.
- [D] The MMSegmentation library from OpenMMLab appears to return the wrong results when computing basic image segmentation metrics such as the Jaccard index (IoU - intersection-over-union). It appears to compute recall (sensitivity) instead of IoU, which artificially inflates the performance metrics.
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Is there any ML model out there for room surfaces detection? (ceiling, floor, windows)
Segmentation models trained on datasets like ADE20k could probably be used for that, because it has separate classes for these things iirc. https://github.com/open-mmlab/mmsegmentation should have suitable pretrained models available.
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMSegmentation: OpenMMLab semantic segmentation toolbox and benchmark.
- Mmsegmentation - Openmmlab semantic segmentation toolbox and benchmark.
- Mmsegmentation – Openmmlab semantic segmentation toolbox and benchmark
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Semantic Segmentation models
This repo is amazing: https://github.com/open-mmlab/mmsegmentation
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What's A Simple Custom Segmentation Pipeline?
Mmsegmentation would be a good place to start for basic segmentation. They have lots of recent methods and pretained models you could fine-tune from. They also support quite a few datasets including VOC. There is a custom dataset format which looks straightforward to create.
What are some alternatives?
When comparing ros-semantic-segmentation-pytorch and mmsegmentation you can also consider the following projects:
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images