lanenet-lane-detection VS self-driving-car

Compare lanenet-lane-detection vs self-driving-car and see what are their differences.

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
lanenet-lane-detection self-driving-car
1 1
2,262 2,690
- -
3.5 0.0
5 months ago about 1 year ago
Python C++
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.

lanenet-lane-detection

Posts with mentions or reviews of lanenet-lane-detection. We have used some of these posts to build our list of alternatives and similar projects.
  • Did anybody try LaneNet ?
    1 project | /r/deeplearning | 10 Feb 2023
    I am trying the LaneNet model using MaybeShewill-CV/lanenet-lane-detection Repo, I have a dataset of 20k images, but the model loss results calculated as nan

self-driving-car

Posts with mentions or reviews of self-driving-car. We have used some of these posts to build our list of alternatives and similar projects.
  • Need help with my school project.
    1 project | /r/AutonomousVehicles | 19 Oct 2022
    Hi everyone, I'm currently doing a project for my final semester about self-driving car. I have read this repo on GitHub and when followed through, it can run on the sample maps. However, when I try it on other custom maps, the result was not as good. Can anyone here give me some general advice to further improve the model?

What are some alternatives?

When comparing lanenet-lane-detection and self-driving-car you can also consider the following projects:

Ultra-Fast-Lane-Detection - Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Teaching - :mortar_board: Materials for my lectures including programming langauge design, software engineering and human-computer interaction.

PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

ChessVision - Extract chess positions from photos of 2D chessboards (chess books, screenshots, etc.)

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

deepcell-tf - Deep Learning Library for Single Cell Analysis