{"library":"uniface","type":"library","category":null,"description":"UniFace is a lightweight, production-ready Python library built on ONNX Runtime for comprehensive face analysis. It provides high-performance capabilities for face detection, recognition, tracking, 106-point landmark detection, face parsing, gaze estimation, age, and gender detection, with hardware acceleration across various platforms. The library is actively maintained, with its current version being 3.5.0, and receives regular updates adding new features and models.","language":"python","status":"active","version":"3.5.0","tags":["computer-vision","face-detection","face-recognition","face-tracking","facial-landmarks","face-parsing","gaze-estimation","age-detection","gender-detection","deep-learning","onnx","machine-learning"],"install":[{"cmd":"pip install uniface","imports":["from uniface import RetinaFace"]},{"cmd":"pip install uniface[gpu]","imports":[]}],"homepage":null,"github":"https://github.com/yakhyo/uniface","docs":"https://yakhyo.github.io/uniface","changelog":null,"pypi":"https://pypi.org/project/uniface/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":16.4,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/uniface/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}