mmhuman3d
mmsegmentation
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| mmhuman3d | mmsegmentation | |
|---|---|---|
| 5 | 7 | |
| 1,120 | 7,380 | |
| 3.4% | 3.9% | |
| 3.3 | 8.6 | |
| about 2 months ago | 13 days 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.
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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.
mmhuman3d
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMHuman3D: OpenMMLab 3D human parametric model toolbox and benchmark.
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What software can convert camera footage to a skeleton animation?
You might want to check out https://github.com/open-mmlab/mmhuman3d and https://github.com/google/mediapipe
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MMHuman3D
We have released an @OpenMMLab human pose and shape estimation toolbox "MMHuman3D":
https://github.com/open-mmlab/mmhuman3d
- Popular methods with a modular framework
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?
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
mmfewshot - OpenMMLab FewShot Learning Toolbox and Benchmark
Swin-Transformer-Semantic-Segmentation - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
mmflow - OpenMMLab optical flow toolbox and benchmark
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
mim - MIM Installs OpenMMLab Packages
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
mmcv - OpenMMLab Computer Vision Foundation
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
openvino - OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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.