zouyuanpeng

kitti-velodyne-viewer

view kitti lidar point cloud with bounding box label

kitti-pcl

Code to use the KITTI (http://www.cvlibs.net/datasets/kitti) data set with PCL

pandaset-devkit

semantic-kitti-api

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

spvnas

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

torchpack

A neural network training interface based on PyTorch, with a focus on flexibility

torchsparse

[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

Mask2Former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

spconv

Spatial Sparse Convolution Library

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

CenterPoint

BEVFusion

Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

bevfusion

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

VoxSeT

Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds (CVPR 2022)

VoxelNet-pytorch

BEVerse

The official repository for BEVerse

lift-splat-shoot

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

PointCNN

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

kitti-object-eval-python

Fast kitti object detection eval in python(finish eval in less than 10 second)

OpenPCDet-Noted

OpenPCDet代码分析与注释

End-to-End-Multi-View-Fusion-for-3D-Object-Detection-in-LiDAR-Point-Clouds

pvcnn

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

TransFusion

[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496

mmdeploy

OpenMMLab Model Deployment Framework

yolov7_d2

🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

point-cloud-annotation-tool

Run_based_segmentation

An ongoing implementation ros node on `fast segmentation of 3d point clouds: a paradigm`...

YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

mmdetection3d

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