Python package to display video in GUI using OpenCV-Python and PySide6.
Introduction
cv2PySide6 is a package which provides utility classes and functions that integrate cv2 and PySide6.
With cv2PySide6, you can build pipeline which reads video with PySide6, converts the frame to numpy array for processing with cv2, and casts it back to PySide6 object.
Installation
Before you install, be careful for other Qt-dependent packages installed in your environment. For example, non-headless OpenCV-Python module modifies the Qt dependency thus making PySide6 unavailable.
For quick install, run the following command. This directly installs cv2PySide6 from the repository using pip.
$ pip install git+https://github.com/JSS95/cv2PySide6.git
You can specify the version after an @ at the end of the url. The following command installs cv2PySide6 with version v1.0.0.
$ pip install git+https://github.com/JSS95/[email protected]
How to use
- Subclass
QVideoFrame2Arrayto define image processor with customprocessArraymethod. - Set the video sink of
QMediaPlayeras frame source of the processor. - Set the image processor as array source of
NDArrayVideoWidget.
In PySide6, video frames are acquired as QVideoFrame and passed from QMediaPlayer to QVideoSink, then to QVideoWidget.
Video display pipeline in PySide6
In cv2PySide6, QVideoFrame2Array comes after QVideoSink. This converts the QVideoFrame to numpy.ndarray, process it, then pass to NDArrayVideoWidget. You can subclass QVideoFrame2Array and override processArray with your own image processing.
Video display pipeline in cv2PySide6
Use cases are provided in examples directory.
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