Qt-based GUI to visualize image-like data.
Project description
iminspect
A python utility package for image/matrix visualization.
Dependencies
numpy
, obviouslyPyQt5
for the graphical user interfaceqimage2ndarray
to convert numpy ndarrays to Qt imagesvito
a lightweight vision tool package
Example usage:
from iminspect.inspector import inspect
import numpy as np
# Show random noise image:
inspect(np.random.rand(4096,4096) - 0.5)
# Show as class labels:
inspect((np.random.rand(16,16) * 1e2 % 5).astype(np.int16), is_categoric=True)
Exemplary screenshot (visualizing categoric data, i.e. labels):
UI Documentation
- To inspect a data point/pixel, just move the mouse above it.
- Zooming
Ctrl+Wheel
to zoom in/outCtrl+Shift+Wheel
to speed up zoomingCtrl+{+|-}
to zoom in/outCtrl+Shift+{+|-}
to zoom in/out faster
- Scrolling
Wheel
scroll up/downShift+Wheel
speeds up scrollingCtrl+{Up|Down|Left|Right}
to scroll using keyboardCtrl+Shift+{Up|Down|Left|Right}
scrolls faster
- Keyboard shortcuts
Ctrl+Q
closes the inspection GUI
Changelog
0.2.0
- Major refactoring: moved image utils and colorizing code to separate vito package
- Usability improvements: keyboard shortcuts for zooming, scaling and scrolling
0.1.2
- Added tests for non-GUI functionality
- Integrate github runners for test/build/deploy
- Fix definition for colormap gray
0.1.1
- Additional features:
- ImageCanvas supports ROI selection (useful for custom input widgets)
- Refactoring:
- Clean up imports
- Make pylint/flake8 happier
- Fixes:
- Adjust scrollbars when zooming multiple linked ImageCanvas
- Additional features:
0.1.0
- Initial public release
Upcoming Changes
- Support flow visualization
2-layer flow, default to color wheel representation, port C++/MATLAB https://people.csail.mit.edu/celiu/OpticalFlow/ - Add load from disk functionality
Project details
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