An open source library for interacting with and processing radar data, specialized for MIMO mmWave radars

For visualizing the dair-v2x-i dataset

A curated list of radar datasets, detection, tracking and fusion

An open autonomous driving platform

🍅🍅A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv5, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

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

Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.

多假设目标跟踪/面向假设的多假设目标跟踪/HypothesisOriented Multi-Hypothesis Target Tracking / MHT/ HOMHT

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

Deformable Convolutional Networks v2 with Pytorch

Official PyTorch implementation of HANet (CVPR 2020)

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

Python code for generating Leung-Malik (LM) filter bank that is typically used in texture analysis and classification.

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, …

ROS ethernet camera driver, targeting BlackFly and Boson

A list of papers and datasets about point cloud analysis (processing)

The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.

MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Detection and Localization | KITTI

AVOD needs the planes file to provide ground plane information, but the official planes generation tool has not yet been provided, which brings great difficulty to the test work. This project is us…

Semantic3D segmentation with Open3D and PointNet++

Implementation of efficient graph-based image segmentation as proposed by Felzenswalb and Huttenlocher [1] that can be used to generate oversegmentations.

Code for 3D object detection for autonomous driving

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

SHAdow-Free Feature ExtractoR. "A Novel Shadow-Free Feature Extractor for Real-Time Road Detection" MM2016