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jderobot/behavior-metrics

By jderobot

Updated over 2 years ago

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jderobot/behavior-metrics repository overview

Behavior Metrics

Behavior Metrics is a tool written in Python that, using the JdeRobot environment, allows to compare different autonomous driving networks as well as programs made manually.

This project aims to have a platform for evaluating and testing complex behaviors for different robots using machine learning and deep learning algorithms. This application provides different functionalities such as:

  • Loading a simulated environment for different scenarios where you can evaluate complex robots behaviors.
  • Generating datasets to train your models to be tested later.
  • Evaluate the performance of your models comparing them against a other models.
  • Change the scenarios/models (called brains) on the go.
  • Live view of sensor readings.

The algorithms that command the robots are called brains, and there is where the neural logic (behaviors) is at.

Tags

A detailed guide how to use the docker containers for behavior metrics is here

Behavior Metrics Noetic
  • Ubuntu 20.04 (Focal Fossa)
  • ROS-noetic-desktop-full
Behavior Metrics Noetic GPU CUDA 10.1
  • CUDA 10.1 Cudnn 7
  • Ubuntu 20.04 (Focal Fossa)
  • ROS-noetic-desktop-full
Behavior Metrics Noetic GPU CUDA 11
  • CUDA 11 Cudnn 7
  • Ubuntu 20.04 (Focal Fossa)
  • ROS-noetic-desktop-full

Tag summary

Content type

Image

Digest

sha256:4e4cf327e

Size

4.5 GB

Last updated

over 2 years ago

docker pull jderobot/behavior-metrics:noetic-cuda11