iminspect 0.2.0

Qt-based GUI to visualize image-like data.

iminspect

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):

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

• 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