guoming2017 Goto Github PK

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

awesome-fenix

讨论如何构建一套可靠的大型分布式系统

axxb_calibration

A Comprehensive AX = XB Calibration Solvers in Matlab

camlasercalibratool

Extrinsic Calibration of a Camera and 2d Laser

clientserverproject

一个C-S模版，该模版由三部分的程序组成，一个服务端运行的程序，一个客户端运行的程序，还有一个公共的组件，实现了基础的账户管理功能，版本控制，软件升级，公告管理，消息群发，共享文件上传下载，批量文件传送功能。具体的操作方法见演示就行。本项目的一个目标是：提供一个基础的中小型系统的C-S框架，客户端有三种模式，无缝集成访问，winform版本，wpf版本，asp.net mvc版本，方便企业进行中小型系统的二次开发和个人学习。同时网络组件方便的支持读写三菱和西门子PLC的数据，详细见Readme

coder-kung-fu

开发内功修炼

computervision_bootcamp

These projects are part of my Computer Vision Bootcamp

cv

CV

dd

deep-learning

:computer:深度学习实战：手写数字识别、Discuz验证码识别、垃圾分类、语义分割

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deye

Keep an Eye on Defects Inspection.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fasticp

ICP algorithm , fast and easy to use in point cloud registration

fork

a c# utility library. C#工具包，C#工具类，常用方法，系统API，文件处理、加密解密、Winform美化（C# Tools）

fromcpp2csharp

Showing how C# calls C++ dlls. both values and arrays are supported.

gebimage

GebImage is an easy-to-use, high performance C# image library

getaurora

git-fork-demo

测试gitfork工作流

gitskills

hello-world

My first trial

image-similarity-using-deep-ranking

🖼️ 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch implementation of "Learning Fine-grained Image Similarity with Deep Ranking" (arXiv:1404.4661)

imageglass

🏞 A lightweight, versatile image viewer

imageviewer

HDR, PFM, DDS, KTX, EXR, PNG, JPG, BMP image viewer and manipulator

interview_internal_reference

2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

learngit

learngit2

libtiff.net

.NET version of LibTiff library made by Bit Miracle and contributors

litcad

A very simple CAD developed by C#.

machinelearning_lihongyi2020