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jqhonly's repositories

nginx-rtmp-sample

nginx-rtmp配置，这是在windows下编译的带rtmp的nginx并配置直播、点播环境、以及负载均衡的配置实例项目，其中包含整个过程的所有文件及相应的操作视频教程。

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android-gpuimage-plus

Android Image & Camera Filters Based on OpenGL.

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Streamaxia Open SDK for Android Mobile App Developers Easy to integrate, low-latency live video streaming library. Open broadcast – not limited to any specific CDN, RTMP Media Server or proprietary protocols. Drag, Drop & Go Live!

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Android-TianGou

Android-MVP开发-PHP后端开发-PhalApi框架开发-笑话段子、短视频

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AnyRTC-RTMP

RTMP 推流器，RTMP(HLS)秒开播放器，跨平台（Win,IOS,Android）开源代码

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BMScan

BMScan,Scan,AVFoundation,ZXing,QRCode,BarCode,Code,ZBar

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build-opencv-for-android

An interactive script to download and build OpenCV and OpenCV contrib for Android

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CUSUM

Implements a version of the CUSUM algorithm for robust step-like change detection in time-series data

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DeepLearningTutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

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dlib-android-app

:dragon: Android app to demo dlib-android(https://github.com/tzutalin/dlib-android). Use the prebuilt shared-lib built from dlib-android

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DylanStepCount

Android精准计步器

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FaceDetectCamera

A project demo Face Detection from Camera or Image, use class media.FaceDetector android.

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GPUImage

An open source iOS framework for GPU-based image and video processing

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gxnu_GPT

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KBLive

iOS 直播 demo。推流:LFLiveKit 播放:ijkplayer 服务器:nginx+rtmp+ffmpeg

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lan

Internet of Things Server Layer with CoAP, WebSocket, MQTT, HTTP Protocol.

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Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

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nginx-rtmp-dockerfile

NGINX server with rtmp module for HLS live streaming

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nginx-rtmp-module

NGINX-based Media Streaming Server

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nginx-rtmp-monitoring

real-time monitoring statistics dashboard for nginx rtmp module

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openhab-docs

This repository contains the documentation for openHAB.

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openiot

The Open Source Project for the Internet of Things

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PhalApi-TianGou

PhalApi——PHP轻量级开源接口框架，上手小试。

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RocAlphaGo

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.

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jqhonly