mmyolo
mmsegmentation
| mmyolo | mmsegmentation | |
|---|---|---|
| 1 | 7 | |
| 2,708 | 7,414 | |
| 3.2% | 1.8% | |
| 4.5 | 8.2 | |
| 2 days ago | 6 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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mmyolo
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMYOLO: OpenMMLab YOLO series toolbox and benchmark
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.
What are some alternatives?
mmdetection - OpenMMLab Detection Toolbox and Benchmark
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
mmrotate - OpenMMLab Rotated Object Detection Toolbox and Benchmark
Swin-Transformer-Semantic-Segmentation - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
mmtracking - OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
mmpretrain - OpenMMLab Pre-training Toolbox and Benchmark
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
hcaptcha-challenger - 🥂 Gracefully face hCaptcha challenge with MoE(ONNX) embedded solution.
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
segment-anything-video - MetaSeg: Packaged version of the Segment Anything repository
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.