{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/20"}],"enrichment":{"capability":"imgviz provides image visualization utilities for converting, colorizing, and compositing images\u2014including depth maps, semantic labels, instance masks, and custom overlays\u2014into displayable RGB outputs.","skillfed_tags":["computer-vision","visualization","image-processing"],"use_cases":["Visualize depth sensor output by colorizing depth maps with a perceptually uniform colormap.","Convert semantic segmentation label maps to RGB images with per-class colors and optional class name overlays.","Render instance segmentation results by drawing bounding boxes, masks, and captions on a base image.","Tile and arrange multiple visualization outputs (RGB, depth, labels, masks) into a single composite image for comparison.","Overlay per-instance metadata (flags, statistics) as pie-chart glyphs at instance centroids."],"what_it_does":"imgviz is a Python library for converting and visualizing non-RGB image data\u2014such as depth maps, semantic segmentation labels, instance masks, and custom per-pixel flags\u2014into displayable RGB images. It wraps common visualization patterns (colorization with colormaps, label-to-color mapping, instance bounding boxes and masks, pie-chart glyphs) and provides utilities for image composition and tiling. The library depends on numpy for array operations, pillow for image I/O and basic manipulation, and cmap for colormap support.\n\nThe package is designed for computer vision and machine learning workflows where intermediate representations (depth, class labels, instance IDs) need to be rendered for inspection, debugging, or publication. It handles the boilerplate of mapping scalar or categorical data to colors, overlaying annotations on images, and arranging multiple visualizations into a grid.","worth_installing":"Yes. imgviz is actively maintained, has no known vulnerabilities, low install friction, and a permissive MIT license. Install it if you work with non-RGB image data (depth, labels, masks) in computer vision or ML and want a lightweight, ready-made toolkit for visualization rather than writing custom colorization and compositing code."},"id":"imgviz","links":{"html":"https://skillfed.io/packages/imgviz","md":"https://skillfed.io/packages/imgviz.md","pypi":"https://pypi.org/project/imgviz/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-10","license_spdx":null,"license_treatment":"permissive","name":"imgviz","python_support":"supports_current","summary":"Image Visualization Tools"},"popularity":{"monthly_downloads":103382,"position":12808,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.1.0"}