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Contents

  • Introduction
  • Getting Started
  • Tutorials
    • “Hello Computer Vision”
    • Duck Confit
    • Custom Nodes
    • Peaking Duck
    • Calling PeekingDuck in Python
    • Using Your Own Models
  • PeekingDuck Ecosystem
  • Model Resources & Information
  • Edge AI
  • Use Cases
  • FAQ and Troubleshooting
  • Glossary

API Documentation

  • input
  • augment
  • model
  • dabble
  • draw
  • output
PeekingDuck
  • »
  • Tutorials
  • Edit on GitHub

Tutorials

The tutorials are presented in order of increasing difficulty, from the basic Hello Computer Vision to the advanced Peaking Duck. It is recommended to go through these tutorials in order, especially if you are new to PeekingDuck.

  • “Hello Computer Vision”
    • Pose Estimation
    • Object Detection
    • Using a WebCam
    • Pipelines, Nodes and Configs
    • Bounding Box vs Image Coordinates
  • Duck Confit
    • More Object Detection
    • Record Video File with FPS
    • Configuration - Behind the Scenes
    • Augmenting Images
  • Custom Nodes
    • Recipe 1: Object Detection Score
    • Recipe 2: Keypoints, Count Hand Waves
    • Recipe 3: Debugging
    • Other Recipes to Create Custom Nodes
  • Peaking Duck
    • Interfacing with SQL
    • Counting Cars
    • Object Tracking
  • Calling PeekingDuck in Python
    • Using PeekingDuck’s Pipeline
    • Integrating with Your Workflow
  • Using Your Own Models
    • Model Training
    • Using Your Trained Model with PeekingDuck
    • Custom Object Detection Models
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