{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/4"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/2"},{"label":"Image Recognition","url":"https://skillfed.io/packages/category/scientific-engineering-image-recognition"}],"enrichment":{"capability":"Provides OpenCV's computer vision algorithms and image processing functions in a headless (no GUI) package with contrib modules, designed for server and containerized environments.","skillfed_tags":["computer-vision","headless-deployment","image-processing"],"use_cases":["Build Docker images for computer vision microservices without heavy GUI library dependencies","Process images and video streams in cloud functions or batch jobs on servers","Detect and recognize objects or features in automated image analysis pipelines","Extract and match keypoints or descriptors for image stitching or 3D reconstruction workflows","Perform real-time video frame processing in headless streaming or surveillance applications"],"what_it_does":"opencv-contrib-python-headless is a pre-built wheel distribution of OpenCV that includes both core and contrib (extra) modules, optimized for server and containerized environments where GUI functionality is not needed. It wraps OpenCV's C++ implementation with Python bindings, providing access to computer vision algorithms for image and video processing, feature detection, object recognition, and related tasks.\n\nThe package depends only on numpy and is designed to minimize container size and system dependencies by excluding GUI libraries. It supports Python 3.6 through 3.14 on Windows, macOS, and Linux, with platform-specific wheels for x86_64 and aarch64 architectures. The headless variant is recommended for any deployment that does not require display functions, or where another GUI framework is already in use.","worth_installing":"Yes, if you need OpenCV's contrib modules in a server or container environment. The headless variant is the right choice for any non-GUI deployment, reducing image size and dependency complexity. Install friction is moderate but manageable with modern pip; maintenance is active and security record is clean. Choose this over standard packages when GUI functionality is not required."},"id":"opencv-contrib-python-headless","links":{"html":"https://skillfed.io/packages/opencv-contrib-python-headless","md":"https://skillfed.io/packages/opencv-contrib-python-headless.md","pypi":"https://pypi.org/project/opencv-contrib-python-headless/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-02","license_spdx":null,"license_treatment":"permissive","name":"opencv-contrib-python-headless","python_support":"supports_current","summary":"Wrapper package for OpenCV python bindings."},"popularity":{"monthly_downloads":2998610,"position":2792,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"5.0.0.93"}