Introduction

AraViQ6 is a Python package which integrates NDArray-based image processing with video pipeline of Qt6. It is designed to help scientific programmers who want to quickly visualize the video without complicated framework.

Here is a sample which performs Canny edge detection on the video frame. The code can be found in Examples.

Video player with canny edge detection.

For more information, see User guide and AraViQ6 Reference.

Pipeline design

AraViQ6 is just a small package which provides:

• Conversion between NDArray and QVideoFrame

• Multithreaded image processing object

• …and some other utilities and convenience objects

Using AraViQ6, QVideoFrame can be processed with a simple signal-slot pipeline. This is useful to visualize the video stream supported by Qt Multimedia scheme.

QVideoFrame pipeline with AraViQ6

AraViQ also supports array-based pipeline and convenience classes to handle NDArray as well. This can be handy when working with third-party packages which provides video frames as NDArray.

NDArray pipeline with AraViQ6

Supported Qt bindings

AraViQ6 is compatible with the following Qt binding packages:

• PySide6

• PyQt6

When AraViQ6 is imported, available package is searched and selected in the order mentioned above. To force a particular API, set environment variable ARAVIQ_QT_API with package name. Letter case does not matter.