qifang-robotics

qifang-robotics's Stars

• junyanz/pytorch-CycleGAN-and-pix2pix

  Image-to-Image Translation in PyTorch

  Language:Python23.3k3481.5k6.3k

• open-mmlab/mmdetection3d

  OpenMMLab's next-generation platform for general 3D object detection.

  Language:Python5.4k611.6k1.6k

• charlesq34/pointnet

  PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

  Language:Python4.9k1363061.5k

• open-mmlab/OpenPCDet

  OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

  Language:Python4.8k711.5k1.3k

• taesungp/contrastive-unpaired-translation

  Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

  Language:Python2.3k34173421

• sshaoshuai/PointRCNN

  PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

  Language:Python1.7k33217425

• xinshuoweng/AB3DMOT

  (IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

  Language:Python1.7k49104403

• V2AI/Det3D

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

  Language:Python1.5k40147298

• aitorzip/PyTorch-CycleGAN

  A clean and readable Pytorch implementation of CycleGAN

  Language:Python1.3k1242295

• PRBonn/lidar-bonnetal

  Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

  Language:Python96428110208

• HuguesTHOMAS/KPConv-PyTorch

  Kernel Point Convolution implemented in PyTorch

  Language:Python79615246159

• MVIG-SJTU/pointSIFT

  a module for 3D semantic segmentation in point clouds.

  Language:Python6472039119

• eddyhkchiu/mahalanobis_3d_multi_object_tracking

  [NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics Workshop of NeurIPS.

  Language:Python389192182

• edwardzhou130/PolarSeg

  Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)

  Language:Python385146080

• dvlab-research/3DSSD

  3DSSD: Point-based 3D Single Stage Object Detector (CVPR 2020)

  Language:Python381145068

• JudasDie/Comparison

  Compare performances of algorithms on Objcet Tracking Benchmarks (SOT/MOT...)

  33713648

• liruihui/PU-GAN

  PU-GAN: a Point Cloud Upsampling Adversarial Network, ICCV, 2019

  Language:Makefile279105046

• Song-Jingyu/PointPainting

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

  Language:Python25774447

• ZwwWayne/mmMOT

  [ICCV2019] Robust Multi-Modality Multi-Object Tracking

  Language:Python253244625

• yanx27/JS3C-Net

  Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)

  Language:C++21492033

• MartinHahner/LiDAR_fog_sim

  LiDAR fog simulation

  Language:Python18771331

• mpitropov/cadc_devkit

  A devkit for the Canadian Adverse Driving Conditions (CADC) dataset.

  Language:Python15094235

• cxy1997/3D_adapt_auto_driving

  Train in Germany, Test in The USA: Making 3D Object Detectors Generalize

  Language:Python131141013

• rheinzler/PointCloudDeNoising

  Language:Python12152625

• pclucas14/lidar_generation

  Code for "Deep Generative Models for LiDAR Data"

  Language:Jupyter Notebook7942320

• ai4ce/FLAT

  [ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

  Language:Python675010

• kazuto1011/dusty-gan

  Learning to Drop Points for LiDAR Scan Synthesis (IROS 2021)

  Language:Python18325

• jianrenw/Self-Supervised-3D-Data-Association

  Official repo of "Self-Supervised-3D-Data-Association"

  Language:Python11324

• Obarads/vscode-pc-viewer

  This extension allows displaying the point cloud or meshes of a file in a VSCode window.

  Language:JavaScript9230

• droneRL2020/Probablistic_3D_MOT_WAYMO

  https://github.com/droneRL2020/Waymo_tracking.git applied this method to Waymo 3D Tracking dataset

  Language:Python53