mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark. (by open-mmlab)
PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc. (by PaddlePaddle)
| mmsegmentation | PaddleSeg | |
|---|---|---|
| 7 | 17 | |
| 7,414 | 8,266 | |
| 1.8% | 1.2% | |
| 8.2 | 7.4 | |
| 7 days ago | 16 days ago | |
| Python | Python | |
| Apache License 2.0 | 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.
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.
PaddleSeg
Posts with mentions or reviews of PaddleSeg.
We have used some of these posts to build our list of alternatives
and similar projects.
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[Medical Segmentation] The all-in-one 3D medical image segmentation toolkit. From data annotation to model deployment, you are welcome to try it all！
EISeg-Med3D: https://github.com/PaddlePaddle/PaddleSeg/blob/develop/EISeg/med3d/README_en.md
Thank you for your compliment. You are very welcome to try it. If you have any problem, please don't hesitate to put an issue here: https://github.com/PaddlePaddle/PaddleSeg/issues.
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[N][R] SOTA Real-Time Semantic Segmentation Model Implemented by Python
Source code implemented by python and models: https://github.com/PaddlePaddle/PaddleSeg
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[P] New Features of Image Segmentation Project PaddleSeg (6k stars)
Github: https://github.com/PaddlePaddle/PaddleSeg
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[Trending Summary] neurips @ 2022-11-28 09:55
https://github.com/PaddlePaddle/PaddleSeg/blob/release/2.6/EISeg/README_EN.md Open-source, easy-to-use and powerful. Provides specialized models for better performance.
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[P] Awesome Interactive Segmentation Improves 10X Segmentation Annotation Efficiency (6k star)
Found relevant code at https://github.com/PaddlePaddle/PaddleSeg + all code implementations here
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Open-source SOTA Solution for Portrait and Human Segmentation (5.7k stars)
Github: https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.6/contrib/PP-HumanSeg
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[Medical Segmentation] The all-in-one 3D medical image segmentation python toolkit. From data annotation to model deployment, you are welcome to try it all！
you can put forward an issue here: https://github.com/PaddlePaddle/PaddleSeg/issues/new/choose
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[R] RTFormer <NeurIPS 2022> : Real-Time Semantic Segmentation with Transformer
Official code is available at: https://github.com/PaddlePaddle/PaddleSeg
What are some alternatives?
When comparing mmsegmentation and PaddleSeg you can also consider the following projects:
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Ultra-Fast-Lane-Detection - Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
Swin-Transformer-Semantic-Segmentation - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
YOLOP - You Only Look Once for Panopitic Driving Perception.（MIR2022）
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
OneFormer - OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
HFT - [ICRA 2023] Official Pytorch implementation for HFT
mmsegmentation vs Pytorch-UNet
PaddleSeg vs Ultra-Fast-Lane-Detection
mmsegmentation vs Swin-Transformer-Semantic-Segmentation
PaddleSeg vs PixelLib
mmsegmentation vs segmentation_models.pytorch
PaddleSeg vs segmentation_models.pytorch
mmsegmentation vs Mask_RCNN
PaddleSeg vs YOLOP
mmsegmentation vs face-parsing.PyTorch
PaddleSeg vs OneFormer
mmsegmentation vs labelme2coco
PaddleSeg vs HFT