JetLinks 基于Java8,Spring Boot 2.x ,WebFlux,Netty,Vert.x,Reactor等开发, 是一个全响应式的企业级物联网平台。支持统一物模型管理,多种设备,多种厂家,统一管理。统一设备连接管理,多协议适配(TCP,MQTT,UDP,CoAP,HTTP等),屏蔽网络编程复杂性,灵活接入不同厂家不同协议等设备。实时数据处理,设备告警,消息通知,数据转发。…

mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于SpringBoot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。

All Algorithms implemented in Python

循序渐进，学习Spring Boot、Spring Boot & Shiro、Spring Batch、Spring Cloud、Spring Cloud Alibaba、Spring Security & Spring Security OAuth2，博客Spring系列源码：https://mrbird.cc

Apache Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

Caffe: a fast open framework for deep learning.

Caffe Implementation of Google's MobileNets (v1 and v2)

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

C++ implementation of Fast-and-Accurate-Unconstrained-Face-Detector

Mirror of git://source.ffmpeg.org/ffmpeg.git

Emotion recognition using DNN with tensorflow

Elegant code. 非常优雅的代码.

Navigating Spreading-out Graph For Approximate Nearest Neighbor Search

A cross-platform multimedia framework based on Qt and FFmpeg(https://github.com/wang-bin/avbuild). High performance. User & developer friendly. Supports Android, iOS, Windows store and desktops. 基于…

Introduce blockchain related technologies, from theory to practice with bitcoin, ethereum and hyperledger.

Supervised Descent Method Apply to Face Alignment, and Head Pose Estimation with Linear Regression. It is cross-platfrom, easily compile in windows, ubuntu, even in Android & iOS.

A fast binary library for face detection and face landmark detection in images. The face detection speed can reach 1500FPS. You can use it free of charge with any purpose.

C++ detect and train of "A Fast and Accurate Unconstrained Face Detector".

This app allows you to predict real-time emotion for facial expressions via your own webcam.

Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.