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3ddfa icon 3ddfa

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

advanced-java icon advanced-java

😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲:涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识

bfm-visual-tool icon bfm-visual-tool

A Visual Tools of Basel Face Model using Qt5(+built-in OpenGL) and C++

chaos icon chaos

:fire: CHAOS is a PoC that allow generate payloads and control remote operating systems.

cocoapi icon cocoapi

COCO API - Dataset @ http://cocodataset.org/

curated-list-of-awesome-3d-morphable-model-software-and-data icon curated-list-of-awesome-3d-morphable-model-software-and-data

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

dmml icon dmml

code for ICCV19 paper "Deep Meta Metric Learning"

dream icon dream

This is the public repository for our accepted CVPR 2018 paper "Pose-Robust Face Recognition via Deep Residual Equivariant Mapping"

ecommercecrawlers icon ecommercecrawlers

实战🐍多种网站、电商数据爬虫🕷。包含🕸:淘宝商品、微信公众号、大众点评、招聘网站、闲鱼、阿里任务、博客园、微博、百度贴吧、豆瓣电影、包图网、全景网、豆瓣音乐、某省药监局、搜狐新闻、机器学习文本采集、fofa资产采集、汽车之家、国家统计局、百度关键词收录数、蜘蛛泛目录、今日头条、豆瓣影评❤️❤️❤️。微信爬虫展示项目:

face-pose-net icon face-pose-net

Estimate 3D face pose (6DoF) or 11 parameters of 3x4 projection matrix by a Convolutional Neural Network

face_pytorch icon face_pytorch

face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on

faceai icon faceai

一款入门级的人脸、视频、文字检测以及识别的项目.

facenet-pytorch-vggface2 icon facenet-pytorch-vggface2

A PyTorch implementation of Google's FaceNet [1] paper for training a facial recognition model with Triplet Loss and an implementation of the Shenzhen Institutes of Advanced Technology's 'Center Loss' [2] combined with Cross Entropy Loss using the VGGFace2 dataset. A pre-trained model using Triplet Loss is available for download.

facepose_pytorch icon facepose_pytorch

This is a pure python project predict head pose (yaw,roll,pitch).Easy to deploy, easy to use, and high accuracy

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