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

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


Example scripts for the detection of lanes using the ultra fast lane detection model in Pytorch. (by ibaiGorordo)
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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
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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.


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.


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)