Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
Gibson Environments: Real-World Perception for Embodied Agents
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion, CVPR 2020
The main features of wkentaro/morefusion are: Perception and Machine Learning, Perception and Tracking.
Open-source alternatives to wkentaro/morefusion include: praveen-palanisamy/multiple-object-tracking-lidar — C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud. wenbowen123/iros20-6d-pose-tracking — [IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains. appinho/sarosperceptionkitti — ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark… dlr-rm/augmentedautoencoder — Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images. stanfordvl/gibsonenv — Gibson Environments: Real-World Perception for Embodied Agents. deap/deap.