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face_attention_network

Pytorch implementation of face attention network

face_pytorch

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

face_recognition

使用webface人脸数据集以及DeepID网络，通过Caffe训练出模型参数，得到LFW二分类的人脸识别准确率。

face_recognition-1

The world's simplest facial recognition api for Python and the command line

face_swap

End-to-end, automatic face swapping pipeline

face_verification_experiment

A Light CNN for Deep Face Representation with Noisy Labels

facealignment

Face Alignment by Explicit Shape Regression

faceattribute-fan

facebook-ios-sdk

Used to integrate iOS apps with Facebook Platform.

faceboxes

FaceBoxes: A CPU Real-time Face Detector with High Accuracy

faceboxes-1

FaceBoxes: A CPU Real-time Face Detector with High Accuracy, IJCB, 2017

facedetection-dsfd

faceimagequality

Code and information for face image quality assessment with SER-FIQ

facenet

Tensorflow implementation of the FaceNet face recognizer

faceqnet

FaceQnet: Quality Assessment for Face Recognition based on Deep Learning

facerecognition

An example iOS application for face detection and recognition using OpenCV

faceswap

Python script to put facial features from one face onto another

faceswap-1

Real-time FaceSwap application built with OpenCV and dlib

faceswap-2

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

facetracker

Face tracking in live video on iOS devices

facetracker-1

Real time deformable face tracking in C++ with OpenCV 2.

faceverification

An Experimental Implementation of Face Verification, 96.8% on LFW.

factorized-bilinear-network

FBN: Factorized Bilinear Models for Image Recognition (ICCV 2017)

fairmot

A simple baseline for one-shot multi-object tracking

fairmot-1

This project provides an official implementation of our recent work on real-time multi-object tracking in videos. The previous works conduct object detection and tracking with two separate models so they are very slow. In contrast, we propose a one-stage solution which does detection and tracking with a single network by elegantly solving the alignment problem. The resulting approach achieves groundbreaking results in terms of both accuracy and speed: (1) it ranks first among all the trackers on the MOT challenges; (2) it is significantly faster than the previous state-of-the-arts. In addition, it scales gracefully to handle a large number of objects.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

faiss

A library for efficient similarity search and clustering of dense vectors.

fann

Official github repository for Fast Artificial Neural Network Library (FANN)

fashion-detection

code and model for "Fashion Detection in the Wild"

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right: