Ultra-Fast-Lane-Detection
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020) (by cfzd)
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. (by PaddlePaddle)
Our great sponsors
| Ultra-Fast-Lane-Detection | PaddleSeg | |
|---|---|---|
| 1 | 17 | |
| 1,680 | 8,227 | |
| - | 1.9% | |
| 0.0 | 7.9 | |
| over 1 year ago | 8 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
Ultra-Fast-Lane-Detection
Posts with mentions or reviews of Ultra-Fast-Lane-Detection.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-23.
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Lane Assist system I've been working on over the past few days.
The way this works is that great minds made a paper about lane detection.
PaddleSeg
Posts with mentions or reviews of PaddleSeg.
We have used some of these posts to build our list of alternatives
and similar projects.
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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?
When comparing Ultra-Fast-Lane-Detection and PaddleSeg you can also consider the following projects:
Euro-Truck-Simulator-2-Lane-Assist - Plugin based interface program for ETS2/ATS.
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Ultrafast-Lane-Detection-Inference-Pytorch- - Example scripts for the detection of lanes using the ultra fast lane detection model in Pytorch.
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
SNE-RoadSeg - SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
YOLOP - You Only Look Once for Panopitic Driving Perception.（MIR2022）
lanenet-lane-detection - Unofficial implemention of lanenet model for real time lane detection
OneFormer - OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
HFT - [ICRA 2023] Official Pytorch implementation for HFT
Ultra-Fast-Lane-Detection vs Euro-Truck-Simulator-2-Lane-Assist
PaddleSeg vs mmsegmentation
Ultra-Fast-Lane-Detection vs Ultrafast-Lane-Detection-Inference-Pytorch-
PaddleSeg vs PixelLib
Ultra-Fast-Lane-Detection vs SNE-RoadSeg
PaddleSeg vs segmentation_models.pytorch
Ultra-Fast-Lane-Detection vs YOLOP
PaddleSeg vs YOLOP
Ultra-Fast-Lane-Detection vs lanenet-lane-detection
PaddleSeg vs OneFormer
PaddleSeg vs HFT