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 : Raisonnement multi-objets pour l'estimation de pose 6D à partir de fusion volumétrique, CVPR 2020
Les fonctionnalités principales de wkentaro/morefusion sont : Perception and Machine Learning, Perception et suivi.
Les alternatives open-source à wkentaro/morefusion incluent : 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.