mmsegmentation
mmrotate
| mmsegmentation | mmrotate | |
|---|---|---|
| 7 | 4 | |
| 7,414 | 1,731 | |
| 1.8% | 2.5% | |
| 8.2 | 2.5 | |
| 9 days ago | about 2 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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
- [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.
mmrotate
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This Artificial Intelligence (AI) Paper Proposes a Novel Differentiable Angle Coder Named Phase Shifting Coder (PSC) to Accurately Predict the Orientation of Objects
Quick Read: https://www.marktechpost.com/2022/11/22/this-artificial-intelligence-ai-paper-proposes-a-novel-differentiable-angle-coder-named-phase-shifting-coder-psc-to-accurately-predict-the-orientation-of-objects/ Paper: https://arxiv.org/pdf/2211.06368v1.pdf Code: https://github.com/open-mmlab/mmrotate
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMRotate: OpenMMLab rotated object detection toolbox and benchmark.
- MMRotate – Rotated Object Detection
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MMRotate: A step forward for MMDetection!
MMRotate GitHub
What are some alternatives?
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
a-PyTorch-Tutorial-to-Object-Detection - SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
Swin-Transformer-Semantic-Segmentation - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
CRAFT-pytorch - Official implementation of Character Region Awareness for Text Detection (CRAFT)
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
mmaction2 - OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
mmfewshot - OpenMMLab FewShot Learning Toolbox and Benchmark
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
mmyolo - OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
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.
mmflow - OpenMMLab optical flow toolbox and benchmark