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
imgridandimhistfor 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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