duzhiqiang2019's repositories

lidar2rosbag_KITTI

A simple way to convert KITTI LiDAR data to rosbag.

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LFD-A-Light-and-Fast-Detector

LFD is a big update upon LFFD. Generally, LFD is a multi-class object detector characterized by lightweight, low inference latency and superior precision. It is for real-world appilcations.

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semanticKITTI-gridMap

semanticKITTI数据集转占据栅格图标注

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3D-LIDAR-Multi-Object-Tracking

3D-MOT(点云多目标检测和追踪C++) (2020 · 秋) 代码有详细注解

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bigData

大数据比赛项目库

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CLOCs

CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

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CVPR2021-Papers-with-Code

CVPR 2021 论文和开源项目合集

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Cylinder3D

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

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data-labeling-tools

图像images/点云point clouds标注工具汇总

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EasyPointPillars

easy and simple way to train, export and deploy pointpillars for 3D detection

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LaTeX

LaTeX学习记录

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leetcode-1

Python & JAVA Solutions for Leetcode

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leetcode_101

LeetCode 101:和你一起你轻松刷题(C++)

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mmcv

OpenMMLab Computer Vision Foundation

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netron

Visualizer for neural network, deep learning, and machine learning models

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NN-CUDA-Example

Several simple examples for popular neural network toolkits calling custom CUDA operators.

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Panoptic-PolarNet

Implementation for Panoptic-PolarNet (CVPR 2021)

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patchwork

Official page of Patchwork (RA-L'21 w/ IROS'21)

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PointPainting

This repository is an open-source PointPainting package which is easy to understand, deploy and run!

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PointPillars_MultiHead_40FPS

A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.

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ROS

ROS机器人操作系统 学习(写于2020年夏)

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ros_socket_can_driver

ROS Package for Socket CAN

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SA-Det3D

SA-Det3D: Self-attention based Context-Aware 3D Object Detection

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SalsaNext

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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study_git

study_git

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