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Name: Patryk Grabowski iOS Developer
Type: User
Twitter: graboosky
Location: Szczecin, Poland
Name: Patryk Grabowski iOS Developer
Type: User
Twitter: graboosky
Location: Szczecin, Poland
Awesome work on object 6 DoF pose estimation
A Python toolkit of the BOP benchmark for 6D object pose estimation.
[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
[ICCV 2023] Deep Active Contours for Real-time 6-DoF Object Tracking
"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository
Containerized version of BrightData's EarnApp
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Deep learned, hardware-accelerated 3D object pose estimation
Simple Swift wrapper for Keychain that works on iOS, watchOS, tvOS and macOS.
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
Code for "MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare", CoRL 2022.
Software development kit for the nRF52 series and the nRF51 series SoC
Software development kit for Thread and Zigbee
Code for "OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models" NeurIPS 2022
From a body shape, infer the anatomic skeleton.
Welcome to the project repository for POPE (Promptable Pose Estimation), a state-of-the-art technique for 6-DoF pose estimation of any object in any scene using a single reference.
A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
(BMVC 2019) PyTorch implementation of Paper "Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects"
Region-based Object Tracking
A simple and secure XPC framework for Swift
SmarmLab: a versatile Matlab package for drone swarm simulation.
Peer-to-peer cluster implementation for Swift Distributed Actors
[CVPR 2022] Pytorch implementation of "Templates for 3D Object Pose Estimation Revisited: Generalization to New objects and Robustness to Occlusions" paper
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