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iad.vis — visualization utilities (image grids, viewers, colormaps, matplotlib helpers)

Project description

ialdev-vis

Visualization utilities for the iad toolbox, published as ialdev-vis and imported as iad.vis.

Use this package for quick image grids, histograms, Matplotlib helpers, custom colormaps, interactive annotation widgets, Jupyter logging, and optional Qt/3D visualization tools.

Install

pip install ialdev-vis

Optional extras:

pip install "ialdev-vis[qt]"
pip install "ialdev-vis[jupyter]"
pip install "ialdev-vis[3d]"
pip install "ialdev-vis[all]"

Requires Python >=3.10.

Highlights

  • imgrid and imhist for fast inspection of images and distributions.
  • Matplotlib helpers for figure capture and conversion to arrays/PIL images.
  • Built-in custom colormaps.
  • Polygon-to-mask helpers and interactive ROI tools.
  • Optional Qt image viewer and optional ipyvolume/Open3D 3D views.

Examples

from iad.vis import imgrid, imhist

imgrid(left_image, right_image, titles=["left", "right"], clim="auto")
imhist(left_image, right_image, titles=["left", "right"])
from iad.vis.mpl_utils import fig2img

pil_image = fig2img(figure)

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