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Description
This project aims to leverage a Coral TPU connected via USB to perform face recognition on a NAS running Nextcloud. Due to hardware limitations (ARM CPU with 1GB of RAM), standard face recognition plugins are not feasible, as they require a GPU and at least 2GB of RAM. Instead, the goal is to use TensorFlow Lite on the Coral TPU for efficient processing.
Goals
- Implement face recognition using TensorFlow Lite on the Coral TPU.
- Integrate the solution with Nextcloud's API to automatically tag images stored on the NAS.
- Optimize performance for limited hardware without GPU support.
Resources
- Coral USB Accelerator
- TensorFlow Lite documentation
- Nextcloud API reference
- Emoji Kitchen for a quick creative break when you need one!
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This project is part of:
Hack Week 24
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