Ultra-Fast-Lane-Detection VS YOLOP

Compare Ultra-Fast-Lane-Detection vs YOLOP and see what are their differences.

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Ultra-Fast-Lane-Detection YOLOP
1 5
1,680 1,804
- 2.1%
0.0 3.2
over 1 year ago 6 months ago
Python Python
MIT License MIT License
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.

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.

YOLOP

Posts with mentions or reviews of YOLOP. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning YOLOP yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Ultra-Fast-Lane-Detection and YOLOP you can also consider the following projects:

Euro-Truck-Simulator-2-Lane-Assist - Plugin based interface program for ETS2/ATS.

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.

Ultrafast-Lane-Detection-Inference-Pytorch- - Example scripts for the detection of lanes using the ultra fast lane detection model in Pytorch.

lanenet-lane-detection - Unofficial implemention of lanenet model for real time lane detection

HybridNets - HybridNets: End-to-End Perception Network

SNE-RoadSeg - SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020

SGDepth - [ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

jiant - jiant is an nlp toolkit