Viewpoint Estimation for Animal Re-Identification on Edge Devices

This repository contains the code and models to accompany my thesis at the Max Planck Institute for Intelligent Systems and University of Tübingen

• Species: Optimized for Equids (specifically Zebras)
• Input Dimensions: $224 \times 224$ bounding box crops
• Downstream Integrations: Embedded within RAPID and the Behaviors Inference Framework

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See the demo of the viewpoint estimator on YouTube

Viewpoint.Estimation.for.Animal.Re-Identification.on.Edge.Devices.-.Demo.mp4

Repository Architecture

This repository is organized into two separate branches:

• master: Contains the full pipeline and model training scripts from my thesis. Use this branch to experiment, evaluate ablation configurations or train custom models.
• module: A lightweight, production-ready release containing only the core standalone estimator. Switch to this branch for direct, dependencies-minimized deployment and framework integration.

Binary model weights can be found in the release package for this thesis.

the demo/ directory includes sampled images for two zebras including 8 different viewpoints from the ZebraStereoID dataset.