Skip to content
View yakhyo's full-sized avatar
🍉
🍉

Organizations

@codeuzhub

Block or report yakhyo

Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
yakhyo/README.md

Hi there 👋

GitHubGoogle ScholarLinkedInYouTubeLeetCode

UniFace is a lightweight, high-performance, all-in-one face analysis toolkit for detection, alignment, landmarks, recognition, and more.

PyPI Version License PyPI Downloads GitHub Stars Docs

Explore the repository: github.com/yakhyo/uniface

Featured Projects

Project Description Downloads Stars
uniface All-in-One Face Analysis Library Downloads Stars
face-parsing BiSeNet Face Segmentation Downloads Stars
gaze-estimation Real-time Gaze Estimation Downloads Stars
face-reidentification FAISS + ArcFace re-ID Downloads Stars

For collaboration or inquiries, reach me at yakhyo9696[at]gmail[dot]com or connect on LinkedIn.

Popular repositories Loading

  1. uniface uniface Public

    UniFace: An All-in-One Open-Source Face Analysis Library - Face Detection, Face Recognition, Landmark Localization, Face Parsing, Gaze Estimation, and Attribute Estimation (Age, Gender, Race)

    Python 602 81

  2. face-parsing face-parsing Public

    BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation | Face Parsing | In PyTorch >> ONNX Runtime Inference

    Python 247 43

  3. gaze-estimation gaze-estimation Public

    MobileGaze: Real-Time Gaze Estimation models using ResNet 18/34/50, MobileNet v2 and MobileOne s0-s4 | In PyTorch >> ONNX Runtime Inference

    Python 168 35

  4. face-reidentification face-reidentification Public

    Face re-identification using FAISS (Vector DB), ArcFace (Face Recognition) & SCRFD (Face Detection) | ONNX Runtime Inference

    Python 162 34

  5. retinaface-pytorch retinaface-pytorch Public

    PyTorch Implementation of "RetinaFace: Single-stage Dense Face Localisation in the Wild" | 88.90% on WiderFace Hard >> ONNX Support

    Python 63 8

  6. head-pose-estimation head-pose-estimation Public

    Real Time Head Pose Estimation: Accurate head pose estimation using ResNet 18/34/50 and MobileNet V2/V3 models. Evaluate yaw, pitch, and roll with pre-trained weights for quick integration.

    Python 62 8