Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders

pypcd for python3 which can read pcd file of various point types (including XYZ, XYZI, XYZRGB, etc.).

A package to open video streams and publish them in ROS using the opencv videocapture mechanism

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with ONNX, TensorRT, ncnn, and OpenVINO supported.

Joplin - an open source note taking and to-do application with synchronization capabilities for Windows, macOS, Linux, Android and iOS. Forum: https://discourse.joplinapp.org/

Pytorch framework for doing deep learning on point clouds.

PointCloudDet3D Toolbox in PyTorch for 3D Object Detection from Point Cloud

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

A tool to Download PDF format conclusion from http://output.nsfc.gov.cn/

Models and examples built with TensorFlow

A general purpose 3D object detection codebse.

An RViz plugin to select and publish points from a point cloud.

100 numpy exercises (with solutions)

self-supervised domain adaptation

Unsupervised Data Augmentation (UDA)

Deep Hough Voting for 3D Object Detection in Point Clouds

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

SECOND for KITTI/NuScenes object detection

Web labelling tool for camera and LIDAR data

Ground Segmentation

README and scripts for the Cityscapes Dataset

婚礼大屏互动，微信请柬一站式解决方案

Code that implements paper "End-to-End Instance Segmentation with Recurrent Attention"

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

Laser Odometry and Mapping (continuous spin version)

loam SLAM with back and forth tilted scanning 2D laser, modified to work under ROS indigo and catkin

Kindle114 资源集结计划