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3dmm_cnn

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

additive-margin-softmax

This is the implementation of paper <Additive Margin Softmax for Face Verification>

am-softmax

This is an AM-Softmax tutorial and keras implement.

amsoftmax

A simple yet effective loss function for face verification.

arcfacedemo_android

Arcface2.0的AndroidDemo

beyond-part-models

PCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch

caffe-yolo

YOLO (Real-Time Object Detection) in caffe

caffe-yolov3

A real-time object detection framework of Yolov3 based on caffe

computelibrary

The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

darknet

Convolutional Neural Networks

darknet2caffe

Convert darknet weights to caffemodel

deeplearning

deepsort

MOT using deepsort yolo3 with C++

dpsr

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

dw2tf

Darknet Weights to TensorFlow

easydarwin

open source、high performance、industrial rtsp streaming server based on node.js,a lot of optimization on streaming relay,KeyFrame cache,RESTful,and web management,also EasyDarwin support distributed load balancing,a simple streaming media cloud platform architecture.高性能开源RTSP流媒体服务器，基于node.js开发、维护和优化：RTSP转发、关键帧缓存、秒开画面、RESTful接口、WEB后台管理、分布式负载均衡，基于EasyDarwin构建出了一套基础的流媒体云视频平台架构！

easypusher

简单、高效、稳定的一款标准RTSP/RTP协议直播推送库，支持将H.264/G.711/G.726/AAC等音视频数据推送到RTSP流媒体服务器进行低延时直播或者视频通信，支持Windows、Linux、ARM、Android、iOS等平台，EasyPusher配套EasyDarwin流媒体服务器、EasyPlayer RTSP播放器适用于特殊行业的低延时应急指挥需求！ Android迁移到了https://github.com/EasyDarwin/EasyPusher_Android , iOS迁移到了https://github.com/EasyDarwin/EasyPusher_iOS

enhanced-center-loss

Code for enhanced center loss function.

eyeblickcheck

人脸识别--活体检测--眨眼检测

face_recognition

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

facenet

Face recognition using Tensorflow

facenet-face-cluster-chinese-whispers-

using chinese whispers for face cluster

falsr

Fast, Accurate and Lightweight Super-Resolution models

imagededup

😎 Finding duplicate images made easy!

insightface

Face Analysis Project on MXNet

itwmm

In The Wild 3D Morphable Models

jasoncpp-examples

Some examples to parse json data by using jsoncpp library!

jieba

结巴中文分词

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.