Ultrafast-Lane-Detection-Inference-Pytorch- VS deepdrive

Compare Ultrafast-Lane-Detection-Inference-Pytorch- vs deepdrive and see what are their differences.

Ultrafast-Lane-Detection-Inference-Pytorch-

Example scripts for the detection of lanes using the ultra fast lane detection model in Pytorch. (by ibaiGorordo)
Our great sponsors
  • Zigi - Workflow assistant built for devs & their teams
  • InfluxDB - Build time-series-based applications quickly and at scale.
  • Sonar - Write Clean Python Code. Always.
  • Scout APM - Truly a developer’s best friend
Ultrafast-Lane-Detection-Inference-Pytorch- deepdrive
1 1
39 799
- 1.3%
0.6 0.0
3 months ago 7 days ago
Python Python
MIT License GNU General Public License v3.0 or later
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.

Ultrafast-Lane-Detection-Inference-Pytorch-

Posts with mentions or reviews of Ultrafast-Lane-Detection-Inference-Pytorch-. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-23.

deepdrive

Posts with mentions or reviews of deepdrive. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-01.
  • Is it possible to train a self driving car on google colab?
    4 projects | reddit.com/r/reinforcementlearning | 1 Sep 2021
    I've been trying for a while now and I started thinking it may not be possible. If anyone has managed to train a self-driving car simulator using openai gym on google colab(preferably), or on any remote server (AWS, GCP, ...) please let me know. So far, I tried carla, airsim, svl, deepdrive and they are all equally useless unless run locally with a gui. I'd really appreciate if someone suggests some way that actually can make it possible.

What are some alternatives?

When comparing Ultrafast-Lane-Detection-Inference-Pytorch- and deepdrive you can also consider the following projects:

carla - Open-source simulator for autonomous driving research.

simulator - A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

AirSim - Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Euro-Truck-Simulator-2-Lane-Assist - Lane assist for ETS2, built with the ultra-fast-lane-detection model.

tensorforce - Tensorforce: a TensorFlow library for applied reinforcement learning

cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

muzero-general - MuZero

dogfight-sandbox-hg2 - Air to air combat sandbox, created in Python 3 using the HARFANG 3D 2 framework.

Competitive-Programming

Autonomous-Parking - Automatic parallel parking system including path planning, path tracking, and parallel parking in a designed environment written in python. [Moved to: https://github.com/Pandas-Team/Automatic-Parking]

PaddleHub - Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)