This library provides a unified filesystem abstraction over a variety of implementations, making it easy to write portable code for microcontrollers. Supported backend filesystems include: Arduino SD, ...

TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.

ESET researchers have recently observed a new instance of Operation DreamJob – a campaign that we track under the umbrella of North Korea-aligned Lazarus – in which several European companies active ...

Support for PIL library image input (path) instead of Base64 encoding. For example, when using models with transformers library, I provide images this way img = Image.open(path).convert("RGB") which ...