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Qt-based GUI to visualize image-like data.

Project description

iminspect

View on PyPI License

A python utility package for image/matrix visualization.

Dependencies

  • numpy, obviously
  • PyQt5 for the graphical user interface
  • qimage2ndarray to convert numpy ndarrays to Qt images
  • vito 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):
Screenshot

UI Documentation

  • To inspect a data point/pixel, just move the mouse above it.
  • Zooming
    • Ctrl+Wheel to zoom in/out
    • Ctrl+Shift+Wheel to speed up zooming
    • Ctrl+{+|-} to zoom in/out
    • Ctrl+Shift+{+|-} to zoom in/out faster
  • Scrolling
    • Wheel scroll up/down
    • Shift+Wheel speeds up scrolling
    • Ctrl+{Up|Down|Left|Right} to scroll using keyboard
    • Ctrl+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
  • 0.1.0 - Initial public release

Upcoming Changes

Project details


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