Chen Mingliang's repositories
Node-Media-Server
A Node.js implementation of RTMP/HTTP-FLV/WS-FLV/HLS/DASH/MP4 Media Server
nginx-rtmp-win32
Nginx-rtmp-module Windows builds.
NodeMediaDevClient
Flex开发的RTMP视频推流播放测试工具
node-ffmpeg-pro
Nodejs ffmpeg process caller
media-server
RTSP/RTP/RTMP/FLV/HLS/MPEG-TS/MPEG-PS/MPEG-DASH/MP4/fMP4/MKV/WebM
unmute-ios-audio
Enable/unmute WebAudio on iOS, even while mute switch is on
debian-debootstrap
:earth_africa: `debian-debootstrap` Docker image for multiple architectures
emscripten
Emscripten: An LLVM-to-WebAssembly Compiler
jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
jetson-utils
C++/Python Linux utility wrappers for NVIDIA Jetson - camera, codecs, CUDA, GStreamer, HID, OpenGL/XGL
localization
Translation files
nms_import
NodeMediaServer v3 转发任务快速导入工具
SeetaFace2
SeetaFace 2: open source, full stack face recognization toolkit.
TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN：由腾讯优图实验室和光影实验室协同打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。