{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/8"}],"enrichment":{"capability":"Python bindings for the AprilTags v3 library, enabling detection and tracking of AprilTag fiducial markers in images for computer vision and robotics applications.","skillfed_tags":["computer-vision","robotics","fiducial-markers"],"use_cases":["Robotics: localize robots in indoor environments using AprilTag markers placed on walls or floors.","Augmented reality: anchor virtual content to physical AprilTag markers in real-world scenes.","Camera calibration and pose estimation: use tags as known reference points to compute camera position and orientation.","Multi-agent tracking: coordinate multiple robots or objects by detecting shared AprilTag landmarks.","Visual SLAM: integrate tag detections as loop-closure constraints in simultaneous localization and mapping."],"what_it_does":"pupil-apriltags wraps the AprilTags3 library from AprilRobotics, providing a Python interface to detect and localize fiducial markers (AprilTags) in images. It is commonly used in robotics, augmented reality, and computer vision systems where visual markers serve as reference points for pose estimation, localization, or object tracking. The package ships with pre-built wheels for common platforms, reducing installation friction compared to compiling from source.\n\nThe core API centers on the Detector class, which you configure with tag family, threading, and image processing parameters, then call with image data to retrieve detections. The library depends on numpy for array handling and includes platform-specific threading support via pupil-pthreads-win on Windows. It is actively maintained, supports modern Python versions, and carries no known security vulnerabilities.","worth_installing":"Yes. The package is production-stable, actively maintained, carries no known vulnerabilities, and offers pre-built wheels for broad platform coverage. Install it if you need AprilTag detection in Python and are comfortable with the pupil-labs variant of the AprilTags3 library; verify that its adjustments align with your specific accuracy or performance requirements if migrating from another AprilTag binding."},"id":"pupil-apriltags","links":{"html":"https://skillfed.io/packages/pupil-apriltags","md":"https://skillfed.io/packages/pupil-apriltags.md","pypi":"https://pypi.org/project/pupil-apriltags/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-04-22","license_spdx":null,"license_treatment":"permissive","name":"pupil-apriltags","python_support":"supports_current","summary":"Python bindings for apriltags v3"},"popularity":{"monthly_downloads":95777,"position":13249,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.4.post11"}