Personalized 🔆Brightness

by Ricardo Fernández Serrata

Version 23 (September 13, 2021)

Download (40 downloads)

Inspired by A9-Pie Adaptive Brightness, it's "machine learning" but without AI. It dynamically generates a customized brightness map based on your preferences and automatically sets the brightness based on that map and the sensor's output.

This is targeted at devices that have A8 or earlier, users who want a lite edition of Adaptive Brightness, and/or low-end devices.

The {pr} precision reducer is needed to reduce memory usage, processing, training time and error probability.

I've removed linear interpolation because it requires more memory, energy and blocks. If I try to optimize its energy consumption, it would require even more blocks. So now this uses a variant of piecewise-constant interpolation

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