Welcome to easy_perception_deployment’s documentation!

easy_perception_deployment is a ROS2 package that accelerates the training and deployment of Computer Vision (CV) models for industries.

Quality Declaration

This package claims to be in the Quality Level 4 category, see the Quality Declaration for more details.

Table of Contents

• Welcome to easy_perception_deployment’s documentation!
• Setup
  • System Requirements for Docker Installation
  • Docker Installation
  • System Requirements for Local Installation
  • Local Installation
• Getting Started
  • Build Camera using ROS2
  • Launch Camera ROS2
  • Launch Easy Perception Deployment ROS2 Package
• Training a P1 Image Classification Model
  • Collect Training Data
  • Label Training Data
  • Train Model
• Training a P2/P3 Object Detection Model
  • Collect Training Data
  • Label Training Data
  • Train Model
• Deploying a custom ONNX Model
  • Steps
  • Use Case Configuration
  • Incompatible Model Input Shape?
• Test
  • Run gtests on Easy Perception Deployment ROS2 package
  • Generate gtests Code Coverage
  • Run pytests on Easy Perception Deployment GUI
  • Generate pytests Code Coverage
• API
  • windows
  • trainer
  • epd_utils_lib
  • ort_cpp_lib
• FAQ
  • Issue: How to view easy_perception_deployment’s custom messages?

Contributions & Feedback

We welcome contributions! Please see the contribution guidelines.

For feature requests or bug reports, please file a GitHub Issue.

For general discussion or questions, please use GitHub Discussions.