Good afternoon, we are working on an ML project, implemented on a Raspberry Pi5 Hailo 8 (26 TOPS), on reading magnetic fields in the ionosphere. We want to use Hailo’s extensions and applications to train the detection of magnetic anomalies in these areas. However, we are looking for a way to download all the Hailo libraries to carry out the project (Hailo platform, Tappas, Hailort, etc.), but every time we try to download them, they are incomplete, even after updating them. The purpose is to perform ML algorithms to analyze the data. For example: Gaussian regression, random forest, k-mean clustering, isolation forest, among others. Important information: Raspberry Pi 5, Hailo 8 with Debian Bookworm x64. If there is anything else that can be implemented or done to improve it, it would be greatly appreciated.
Welcome to the Hailo Community!
Could you please share a bit more detail about what you’re trying to do and what specific issues you’re running into?
Just to clarify, the Hailo accelerators are designed to run inference not training.
Please have a look at the Hailo Dataflow Compiler User Guide. It will show you all of the supported layers.