aisingapore/PeekingDuck
A modular framework built to simplify Computer Vision inference workloads.
This tool helps Computer Vision engineers and data scientists quickly build and deploy real-time video analysis applications. You can feed it live camera footage or video files, and it outputs analyzed video streams with detections like objects, people's poses, or privacy-protected faces. It simplifies the setup of complex computer vision pipelines, allowing practitioners to focus on the insights rather than the infrastructure.
176 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to rapidly prototype or deploy computer vision solutions for tasks like security monitoring, retail analytics, or social distancing compliance, especially with live video feeds.
Not ideal if your primary goal is offline batch processing of images or if you require extremely fine-grained, low-level control over every aspect of a deep learning model's training and inference lifecycle.
Stars
176
Forks
44
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 04, 2025
Commits (30d)
0
Dependencies
13
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