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This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).
TTool is software designed for augmented reality (AR) assisted woodworking tasks. It allows a AI-assisted and real-time detection of tool head's type and pose within the camera frame.
This is my Master thesis which evaluates 6D pose estimating deep learning methods for usage in an AR use case. It includes 2 new proxies for Gabriel in order to make the Deep Learning methods usable in AR-enabled devices.