Chen Hongjin (chenhongjin811)

chenhongjin811

Geek Repo

Company:HITsz

Location:Shenzhen, Guangdong, China

Home Page:github.com/chenhongjin811

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Chen Hongjin's repositories

anomaly-seg

The Combined Anomalous Object Segmentation (CAOS) Benchmark

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CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

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r3live

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

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RELLIS-3D

RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics

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segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

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autonomous_mobile_robot

Implementation of an autonomous mobile robot with semantic segmentation, object detection, motion planning and control systems

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awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

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BigData-Notes

大数据入门指南 :star:

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BigDataGuide

大数据学习,从零开始学习大数据,包含大数据学习各阶段学习视频、面试资料

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BiSeNet

Add bisenetv2. My implementation of BiSeNet

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Chengdu-campus-IT-jobs

搜集成都的IT研发,供参考

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da-sac

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)

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data-science-competition

该仓库用于记录和定期提供各大数据科学竞赛的赛事消息和原创baseline,思路分享以及博主的一些竞赛心得和学习资料等. 主要涵盖:kaggle, 阿里天池,华为云大赛校园赛,百度aistudio,和鲸社区,datafountain等

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elevation_mapping

Robot-centric elevation mapping for rough terrain navigation

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Entity

Open-World Entity Segmentation

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ground_based_autonomy_basic

Autonomous Navigation and Collision Avoidance for Ground Robots

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JavaGuide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!

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LIO-Livox

A Robust LiDAR-Inertial Odometry for Livox LiDAR

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livox_mapping

A mapping package for Livox LiDARs

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livox_ros_driver

Livox device driver under ros

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LVI-SAM

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

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Mooc_Downloader

学无止下载器,慕课下载器,Mooc下载,慕课网下载,**大学下载,爱课程下载,网易云课堂下载,学堂在线下载,超星学习通下载;支持视频,课件同时下载

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MVTec-Anomaly-Detection

This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.

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PanopticFCN

Fully Convolutional Networks for Panoptic Segmentation (CVPR2021 Oral)

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pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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python-api-tesing

python中文库-python人工智能大数据自动化接口测试开发。 书籍下载及python库汇总https://china-testing.github.io/

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r2live

R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.

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segmenter

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

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UNetPlusPlus

Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018

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