lanenet-lane-detection VS deepdrive

Compare lanenet-lane-detection vs deepdrive and see what are their differences.

lanenet-lane-detection

Unofficial implemention of lanenet model for real time lane detection (by MaybeShewill-CV)
lanenet self-driving-car Deep Learning instance-segmentation Tensorflow lane-detection lane-finding lane-lines-detection
Source Code
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deepdrive

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving (by deepdrive)
self-driving-car Tensorflow reinforcement-learning unreal-engine Simulation Deep Learning Python Gym deep-reinforcement-learning sensorimotor competition Vision Control transfer-learning
Source Code
deepdrive.io
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lanenet-lane-detection deepdrive
1 1
2,262 871
- 0.0%
3.5 0.0
5 months ago 7 months ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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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

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 | /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 lanenet-lane-detection and deepdrive you can also consider the following projects:

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

carla - Open-source simulator for autonomous driving research.

self-driving-car - Udacity Self-Driving Car Engineer Nanodegree projects.

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

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

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

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

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

deepcell-tf - Deep Learning Library for Single Cell Analysis

tensorforce - Tensorforce: a TensorFlow library for applied reinforcement learning

simglucose - A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose

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

lanenet-lane-detection vs Ultra-Fast-Lane-Detection deepdrive vs carla lanenet-lane-detection vs self-driving-car deepdrive vs simulator lanenet-lane-detection vs PixelLib deepdrive vs AirSim lanenet-lane-detection vs Ultrafast-Lane-Detection-Inference-Pytorch- deepdrive vs Super-mario-bros-PPO-pytorch lanenet-lane-detection vs deepcell-tf deepdrive vs tensorforce deepdrive vs simglucose deepdrive vs cleanrl