Mactarvish

ocr-sample-generator

OCR（光学字符识别）训练样本生成器，可自动生成用于训练OCR检测和识别模型的图片样本和标注

vue-image-viewer

web看图小工具，可快速浏览多个文件夹的图片，支持显示坐标和复制路径，可以远程部署 解决搞深度学习看图费劲的痛点

AutoCrawler

新增支持百度搜索 Google, Naver multiprocess image web crawler (Selenium)

newbee-mall-vue-app

🔥 🎉Vue2 全家桶 + Vant 搭建大型单页面商城项目。新蜂商城前后端分离版本-前端Vue项目源码

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

cocoapi

COCO API - Dataset @ http://cocodataset.org/

count-candida-parapsilosis

计数菌

cutelyst

A C++ Web Framework built on top of Qt, using the simple approach of Catalyst (Perl) framework.

electron-vue-cloud-music

🚀Electron + Vue 仿网易云音乐windows客户端

leveldb

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

Mactarvish

Config files for my GitHub profile.

mjpg-streamer

Fork of http://sourceforge.net/projects/mjpg-streamer/

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

mmdetection

OpenMMLab Detection Toolbox and Benchmark

nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

Vue-mmPlayer

🎵 基于 Vue 的在线音乐播放器（PC） Online music player

vue-xuAdmin

vue+element-ui-admin 后台权限管理模板 演示地址:

vue2-elm

Large single page application with 45 pages built on vue2 + vuex. 基于 vue2 + vuex 构建一个具有 45 个页面的大型单页面应用

vueblog

一个前后端分离的简单博客案例，适合刚入门vue，学前后端分离的童鞋！

lab_slam

cocopilot

你可以把它称为：联合副驾驶。

flash-linux0.11-talk

你管这破玩意叫操作系统源码 — 像小说一样品读 Linux 0.11 核心代码

loopfail

循环执行一个命令 直到成功为止 适合在强内执行各种容易失败的git蛋疼命令和其他的下载容易失败的命令

mmengine

OpenMMLab Foundational Library for Training Deep Learning Models

OpenCEC-IDE

CEC-IDE软件研发工具,适配国产操作系统、自主可控的集成开发环境工具

sherpa

Speech-to-text server framework with next-gen Kaldi

slam_in_autonomous_driving

《自动驾驶中的SLAM技术》对应开源代码

slambook

vits

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech