jianweilin's repositories
EasyDarwin
open source、high performance、industrial rtsp streaming server,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go语言研发,维护和优化:RTSP推模式转发、RTSP拉模式转发、录像、检索、回放、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!
auto-cpufreq
Automatic CPU speed & power optimizer for Linux
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
chainer_computational_cost
Estimate theoretical computational cost of a chainer-based neural network
cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
DeepLearningExamples
Deep Learning Examples
EasyPlayerPro-Win
EasyPlayerPro是一款全功能的流媒体播放器,支持RTSP、RTMP、HTTP、HLS、UDP、RTP、File等多种流媒体协议播放、支持本地文件播放,支持本地抓拍、本地录像、播放旋转、多屏播放、倍数播放等多种功能特性,核心基于ffmpeg,稳定、高效、可靠、可控,支持Windows、Android、iOS三个平台,目前在多家教育、安防、行业型公司,都得到的应用,广受好评!
EasyScreenLive
Streaming media sdk tool:EasyScreenLive是一款简单、高效、稳定的集采集,编码,组播,推流和流媒体RTSP服务于一身的同屏功能组件,具低延时,高效能,低丢包等特点。目前支持Windows,Android平台,通过EasyScreenLive我们就可以避免接触到稍显复杂的音视频源采集,编码和流媒体推送以及RTSP/RTP/RTCP/RTMP服务流程,只需要调用EasyScreenLive的几个API接口,就能轻松、稳定地把流媒体音视频数据RTMP推送给EasyDSS服务器以及发布RTSPServer服务,RTSP同屏服务支持组播和单播两种模式。
FaceMaskDetection
开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
incubator-tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
inference_results_v0.5
MLPerf Inference v0.5 Results
LearnPractice
learn and practice . practice more, learn better.
MIVisionX-calibration-tool
MIVisionX Python Calibration Tool using pre-trained ONNX/NNEF/Caffe models to analyze, summarize & calibrate for INT8 on images
Model-Optimization-and-Inference-with-TensorRT
This repository contains codes that illustrates how to perform Image classification by importing pre-trained model and perform inference with TensorRT using Caffe, ONNX, UFF parsers.
ModelArts-Lab
ModelArts开发者交流互动平台,@ModelArts服务官网:https://www.huaweicloud.com/product/modelarts.html
Object-detection
Object detection project for real-time (webcam) and offline (video processing) application.
R2CNN-Plus-Plus_Tensorflow
This is a tensorflow implementation of R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy.
sample-facedetection
face detection sample
tensorflow-onnx
Convert TensorFlow models to ONNX
TensorRT_Deployment
Model (ONNX, Pytorch, Keras) to TensorRT inference server