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Raspberry Pi & camera - pose estimation

Calibration & pose estimation using AruCo markers

Part of the final thesis Virtual Neonatal Cranial Ultrasonography Simulation.

During the project my primary responsibility was the hardware and software of the simulation tracking system; e.g. a Raspberry Pi setup and the software and coding needed to run the AruCo tracking and pose estimation. In this repository you'll find the python code. The OpenCV library is used for real-time vision.

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