nuistming's Stars
bytenode/bytenode
A minimalist bytecode compiler for Node.js
iswix-llc/iswix-tutorials
winsw/winsw
A wrapper executable that can run any executable as a Windows service, in a permissive license.
lijiapeng0302/management-system
此项目是 vue + element-ui 构建的后台管理系统,是后台项目node-elm 的管理系统,所有的数据都是从服务器实时获取的真实数据,具有真实的注册、登陆、管理数据、权限验证等功能。
lijiapeng0302/node-elem
整个项目分为两部分:前台项目接口、后台管理接口,共60多个。涉及登陆、注册、添加商品、商品展示、筛选排序、购物车、下单、用户中心等,构成一个完整的流程。
ddsol/speedtest.net
node.js SpeedTest.net client module
snafuz/speed-test-service
Node js service to check upload/download speed
xcvdsfd/electron-wxlogin
electron/electron
:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS
electron-userland/electron-builder
A complete solution to package and build a ready for distribution Electron app with “auto update” support out of the box
zce/music-player
a music player by express & angular || vue
c4pr1c3/cuc-wiki
个人教学 Wiki
domlysz/BlenderGIS
Blender addons to make the bridge between Blender and geographic data
ND-EdTech-Team/Image_Segmentation_From_Green_Screen_Video
通过Unity提供的Shader功能,对绿幕背景视频进行透明处理,提取视频内容,转换加工处理后的视频画面以纹理的形式添加到3D场景中进行融合。
tidehc/esdk_Cgw
视频监控融合,同时对接平台IVS,LTE,T28181(华为,海康)
gomarkdown/markdown
markdown parser and HTML renderer for Go
yosssi/ace
HTML template engine for Go
Scoefield/gokeyboardman
“Go键盘侠”公众号有关golang学习的代码分享
darjun/go-daily-lib
Go 每日一库
kppotato/coredns
coredns web管理界面。
sunzhongwei/go_seo_checker
nange/gospider
golang实现的爬虫框架,使用者只需关心页面规则,提供web管理界面。基于colly开发。
bilityniu/underwater_image_fusion
水下图像增强融合算法-matlab
utpal0401/Wavelength-Compensation-and-Dehazing
Underwater-Image-Enhancement-using-Wavelength-Compensation-and-Dehazing
koujan/Robotics-Course-project
Haze can cause poor visibility and loss of contrast in images and videos. In this article, we study the dehazing problem which can improve visibility and thus help in many computer vision applications. An extensive comparison of state of the art single image dehazing methods is done. One simple contrast enhancement method is used for dehazing. Structure- texture decomposition has been used in conjunction with this enhancement method to improve its performance in presence of synthetic noise. Methods which use a haze formation model and attempt at solving an ill-posed problem using computer vision priors are also investigated. The two priors studied are dark channel prior and the non-local prior. Both qualitative and quantitative comparisons for atmospheric and underwater images on all three methods provide a conclusive idea of which dehazing method performs better. All this knowledge has been extended to video dehazing. A video dehazing method which uses the spatial and temporal information in a video is studied in depth. An improved version of video dehazing is proposed in this article, which uses the spatial-temporal information fusion framework but does not suffer from some of its limitations. The new video dehazing method is shown to produce better results on test videos
danaberman/non-local-dehazing
MATLAB implementation of the paper "Non-Local Image Dehazing", CVPR 2016
mohitkumarahuja/Underwater-Image-Enhancement-by-Wavelength-Compensation-and-Dehazing
ACQUIRING clear images in underwater environments is an important issue in ocean engineering. The quality of underwater images plays a pivotal role in scientific missions such as monitoring sea life, taking census of populations, and assessing geological or biological environments. Capturing images underwater is challenging, mostly due to haze caused by light that is reflected from a surface and is deflected and scattered by water particles, and colour change due to varying degrees of light attenuation for different wavelengths. Light scattering and colour change result in contrast loss and colour deviation in images acquired underwater.
scatnet/scatnet
Scattering Network for Matlab
MSiam/TFSegmentation
RTSeg: Real-time Semantic Segmentation Comparative Study
David-Guo/face_recognize
Matlab PCA 人脸识别