PixelLib
PaddleSeg
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PixelLib | PaddleSeg | |
---|---|---|
3 | 17 | |
1,013 | 8,253 | |
- | 2.2% | |
0.0 | 7.4 | |
7 months ago | 9 days ago | |
Python | Python | |
MIT License | 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.
PixelLib
- YOLOv6: Redefine state-of-the-art for object detection
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To separate objects detected from a video using PixelLib
This is the code, found from the reference here.
- New Project In Computer Vision For Beginner
PaddleSeg
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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?
Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Ultra-Fast-Lane-Detection - Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
FasterRCNN - Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
rembg-greenscreen - Rembg Video Virtual Green Screen Edition
YOLOP - You Only Look Once for Panopitic Driving Perception.(MIR2022)
mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation
OneFormer - OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
fashion-segmentation - A tensorflow model for segmentation of fashion items out of multiple product images
HFT - [ICRA 2023] Official Pytorch implementation for HFT