imseqvis 0.2.8

A Qt-based image sequence visualizer widget

Image & Sequence Visualization

This package provides GUI widgets to show images and play back image sequences.

Installation

It is highly recommended to set up a separate virtual environment with an up-to-date pip:

python3 -m venv venv
source venv/bin/activate
python3 -m pip install -U pip

Then, simply install imseqvis via:

python3 -m pip install imseqvis

If you want to try the latest alpha, i.e. the latest main branch packaged and published to TestPyPI, you can instead install it via:

python3 -m pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple "imseqvis[pyside2]"

Qt Backend

imseqvis requires a Qt backend. In Python, you need to either install PyQt or PySide.
The default installation will not install any of these backends, you have to select one on your own.

Optionally, you can install imseqvis with a specific backend. Currently, pyqt5, pyqt6, pyside2, and pyside6 are supported:

# PyQt5
python3 -m pip install "imseqvis[pyqt5]"

# OR PyQt6
python3 -m pip install "imseqvis[pyqt6]"

# OR PySide2
python3 -m pip install "imseqvis[pyside2]"

# OR PySide6
python3 -m pip install "imseqvis[pyside6]"

In order to use PySide, the environmental variable QT_DRIVER should be set (as this will be checked by qimage2ndarray). For example, to use pyside6:

import os
os.environ['QT_DRIVER'] = 'PySide6'
...
imseqvis.show_sequence(...)

Usage as Standalone Application

To quickly visualize all images within a folder or sequence (and nothing else), you can use the provided wrappers to start a standalone GUI application:

python3 -m imseqvis path/to/image-folder

Or start the viewer from within your code, either specifically for a folder or iterable image sequence (i.e. a random access container of NumPy ndarrays):

import imseqvis
# Show all images in the given folder.
imseqvis.show_folder('path/to/image-folder')

# Show all images in a random access container. For an exemplary data source
# refer to `imseqvis.sequence_viewer.ImageSequence`.
sequence = [...]
imseqvis.show_sequence(sequence)

Alternatively, you could simply use the provided show functionality:

import imseqvis
imseqvis.show('path/to/image-folder')

sequence = [...]
imseqvis.show(sequence)

Usage as Widget

To integrate the viewer into your own application, use the ImageSequenceViewer widget:

# Prepare the image data source. This must allow random access to the images.
# For an exemplary data source refer to
# `imseqvis.sequence_viewer.ImageSequence`.
sequence = [...]

# Create & use the widget.
viewer = SequenceViewer(image_sequence=sequence)
layout.addWidget(viewer)
...

# Alternatively, the widget can also be created without a data source:
viewer = SequenceViewer(image_sequence=None)
...
# Later on, the image sequence can be set via:
viewer.setSequence(new_sequence)

To show a different sequence within the same viewer, simply call:

viewer.setSequence(new_sequence)

More detailed usage examples are provided within examples/. These also demonstrate how to use the available signals to be notified of the user's interactions with the viewer:

• examples/demo_standalone.py demonstrates the basic usage with a dummy sequence.
• examples/demo_folder.py will playback all images within a local folder.