mmfewshot
mmsegmentation
| mmfewshot | mmsegmentation | |
|---|---|---|
| 2 | 7 | |
| 660 | 7,414 | |
| 1.8% | 1.8% | |
| 0.0 | 8.2 | |
| 8 months ago | 7 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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mmfewshot
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMFewShot: OpenMMLab fewshot learning toolbox and benchmark.
- A new member of OpenMMLab-MMFewShot!
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?
ORBIT-Dataset - The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.
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.
mmpose - OpenMMLab Pose Estimation Toolbox and Benchmark.
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
test - Measuring Massive Multitask Language Understanding | ICLR 2021
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
mmflow - OpenMMLab optical flow toolbox and benchmark
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
mmdeploy - OpenMMLab Model Deployment Framework
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.