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shangyongbin's Projects

6.s081-all-in-one icon 6.s081-all-in-one

6.S081课程全记录,包括课程使用的书籍、论文、实验要求的中文翻译,以及实验过程记录

adalam icon adalam

AdaLAM is a fully handcrafted realtime outlier filter integrating several best practices into a single efficient and effective framework. It detects inliers by searching for significant local affine patterns in image correspondences.

anms-codes icon anms-codes

Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution

aslfeat icon aslfeat

Implementation of CVPR'20 paper - ASLFeat: Learning Local Features of Accurate Shape and Localization

bilibilitool icon bilibilitool

.Net 5 编写的跨平台的B站(哔哩哔哩)任务工具,通过GitHub Actions实现每日线上自动运行任务:每日自动登录、观看、分享、投币视频,获取每日任务的满额经验,轻松升级Level 6,实现自动领取大会员权益、月底自动为自己充电等功能。

csapp-labs icon csapp-labs

Solutions and Notes for Labs of Computer Systems: A Programmer's Perspective 3rd Editon // 《深入理解计算机系统》第三版的实验文件、解答与笔记

d2-net icon d2-net

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

easy-fpn.pytorch icon easy-fpn.pytorch

An easy implementation of FPN (https://arxiv.org/pdf/1612.03144.pdf) in PyTorch.

flowiz icon flowiz

Converts Optical Flow files to images and optionally compiles them to a video. Flow viewer GUI is also available. Check out mockup right from Github Pages:

gdown icon gdown

Download a large file from Google Drive (curl/wget fails because of the security notice).

golangfamily icon golangfamily

【超全golang面试题合集+golang学习指南+golang知识图谱+入门成长路线】 一份涵盖大部分golang程序员所需要掌握的核心知识。常用第三方库(mysql,mq,es,redis等)+机器学习库+算法库+游戏库+开源框架+自然语言处理nlp库+网络库+视频库+微服务框架+视频教程+音频音乐库+图形图片库+物联网库+地理位置信息+嵌入式脚本库+编译器库+数据库+金融库+电子邮件库+电子书籍+分词+数据结构+设计模式+去html tag标签等+go学习+go面试+计算机网络基础+图解网络+操作系统面试题+数据库面试题+面试题合集

hpatches-benchmark icon hpatches-benchmark

Python & Matlab code for local feature descriptor evaluation with the HPatches dataset.

hrnet-semantic-segmentation icon hrnet-semantic-segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

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