xuedongji Goto Github PK

albumentations

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

apollo

An open autonomous driving platform

awesome-lane-detection

A paper list of lane detection.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

books

My first book for our QQ group

build-tools

necessary build tools for the archiconda distribution

carnd-advanced-lane-lines

cctsdb

CSUST Chinese Traffic Sign Detection Benchmark

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

data-science-notes

数据科学的笔记以及资料搜集

deeplearningbook-chinese

Deep Learning Book Chinese Translation

enterprise_job_recommend

腾讯，阿里，百度，美团，滴滴，头条，华为，小米等互联网企业岗位需求，内推渠道，hr联系方式。

getoffer

hellogithub

:octocat: Find pearls on open-source seashore 分享 GitHub 上有趣、入门级的开源项目

hisi3516-cv-demo

iniparser

lanenetros

Ros node to use LaneNet to detect the lane in camera

lantern

Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 lantern proxy vpn censorship-circumvention censorship gfw accelerator

m3d-rpn

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

orb_slam2_cuda

ORB_SLAM2 with GPU Enhancement running on NVIDIA Jetson TX1. Focus on ROS part.

orb_slam3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

python-100-days

出处：https://github.com/jackfrued/Python-100-Days.git

python-100-days-1

Python - 100天从新手到大师

python-interview-bible

Python面试宝典2020版

recent_slam_research

Track Advancement of SLAM 跟踪SLAM前沿动态【2020 version】

ros2_for_beginners_code

《ROS 2机器人编程实战——基于现代C++和Python 3》配套代码及相关内容维护

rtm3d

The PyTorch Implementation of RTM3D for Monocular 3D Object Detection

rtm3d-1

Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

sc-sfmlearner-release

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)