Visualization 3D object detection results using meshlab.

算法工程师(人工智能CV方向)面试问题及相关资料

「3D视觉(三维重建、SLAM、AR/VR) + 传统图像处理 + 计算机视觉(偏AI) 」重要知识点和面试问题。

SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, CVPR 2021.

记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Kaggle 3D Object Detewction with Segmentation Baseline

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

This project contains some interesting image processing algorithms that were wrote in python and c++ from scratch.

The PyTorch Implementation of F-ConvNet for 3D Object Detection

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

All Algorithms implemented in Python

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection

PointPillars for KITTI object detection

World's first general purpose 3D object detection codebse.

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.