Mass Service Engine in Cluster(MSEC) is opened source by QQ team from Tencent. It is a backend DEV &OPS engine, including RPC,name finding,load balance,monitoring,release and capacity management.
翻译 - 腾讯的QQ团队开放了集群中的大众服务引擎（MSEC）。它是后端DEV＆OPS引擎，包括RPC，名称查找，负载平衡，监视，发布和容量管理。
Home for explainer documents originated by the Microsoft Edge team
翻译 - Microsoft Edge团队提供的解释器文档的主页
A Tool to Redirect News, Search, Widgets, Weather and More to Your Default Browser
JavaScript player library / DASH & HLS client / MSE-EME player
翻译 - JavaScript播放器库/ DASH和HLS客户端/ MSE-EME播放器
Microsoft Edge
翻译 - 微软Edge
HLS.js is a JavaScript library that plays HLS in browsers with support for MSE.
翻译 - 使用Media Source Extension的JavaScript HLS客户端
A simple and fast library to create MS Office Excel(>2007) xlsx files.
An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"
Image mean square error (MSE)
RTSP Stream to WebBrowser MSE over WebSocket based MP4f segments
Http Adaptive Streaming javascript player based on HTML5 premium extensions (MSE/EME)
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427
This repository contains frequently used method:UCIQE/UIQM/PSNR/SSIM/MSE by python.
Stream H264 to browsers with websocket and w3 media source extensions
Machine Learning Introduction for a Material Scientist
A python implementation of widely used image quality measures- MSE, PSNR, Average Difference,Normalized Correlation, Maximum Difference,Normalized Absolute Error and Structural Content.
为Carnegie Mellon University的MSIT-SE/ESE和MSE项目的同学更方便地找工作而准备的资料
EasyPlayer.js H5播放器，是一款免费的能够同时支持HTTP、RTMP、HTTP-FLV、HLS（m3u8）直播与点播等多种协议，支持H.264、H.265、AAC等多种音视频编码格式，支持mse、asm、wasm等多种解码方式，支持Windows、Linux、Android、iOS全平台终端的H5播放器。EasyPlayer.js H5 Player support HTTP/RTM...
This repository is mainly about comparing two images. The technique used is SSIM. i.e. Structural Similarity Index Measure We use some of the inbuilt functions available in python's skimage library t...
Python package to simplify plotting of common evaluation metrics for regression models. Metrics included are pearson correlation coefficient (r), coefficient of determination (r-squared), mean squared...
-Investigated the efficiency of different estimators to estimate and track channel parameters based on the Mean Squared Error (MSE) performance. The estimators employed in the simulation are LS and MM...