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tiqq111's Projects

cvprw2020 icon cvprw2020

The code for Chalearn Single-modal (RGB) Cross-ethnicity Face anti-spoofing Recognition Challenge@CVPR2020

deepface icon deepface

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

deepgaze icon deepgaze

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

deformation-transfer icon deformation-transfer

Transfer deformations from source mesh to target mesh, keeping the identity of target intact.

dest icon dest

:panda_face: One Millisecond Deformable Shape Tracking Library (DEST)

drishti icon drishti

Real time eye tracking for embedded and mobile devices.

drrg icon drrg

Deep relational reasoning graph network for arbitrary shape text detection; Accepted by CVPR 2020 (Oral). http://arxiv.org/abs/2003.07493

emojify icon emojify

Turn your facial expression into an emoji

eos icon eos

A lightweight 3D Morphable Face Model fitting library in modern C++11/14

eyetracker icon eyetracker

Code to take .avi video files, detect pupil area, pupil location, and also gaze direction

face-alignment icon face-alignment

「Pytorch」Try to resolve Face Alignment problems by LinearModel,ResNet18,MobileNetV2(PFLD)

face-rating icon face-rating

A machine learning model that predict facial attractiveness from facial landmark locations

face2face-demo icon face2face-demo

pix2pix demo that learns from facial landmarks and translates this into a face

faceai icon faceai

一款入门级的人脸、视频、文字检测以及识别的项目.

facemaskdetection icon facemaskdetection

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

facequality icon facequality

An implementation of EQFace: A Simple Explicit Quality Network for Face Recognition (https://arxiv.org/abs/2105.00634, CVPR2021 AMFG Workshop)

faceswap icon faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

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