Editing Images With Cyclegans

GANs represent the state of the art in image-to-image translation. However, it can be difficult to acquire aligned image pairs to learn the mapping between image domains. CycleGANs introduced the “cycle consistency” constraint to learn to transfigure images, transfer style, and enhance photos from unaligned source and target domain samples. This technique has been used to render historic black & white images in full color or to represent an image in greater resolution but here, we explore applications in agriculture....

 · 2 min · Terry Rodriguez & Salma Mayorquin

Regulating Temperature Using Reinforcement Learning

Check out this repo to see how we’ve applied it. While building our home garden controller, Kindbot, the chief objective was to maintain ideal environmental conditions. Plants thrive under stable temperatures which is often a challenge for those running powerful grow lights in a small space. Let’s consider a generic microcontroller connected to a environmetal sensor breakout. Furthermore, let’s assume you can control a heating/cooling appliance via the microcontroller’s GPIO pins or through communication with a smart plug over the LAN....

 · 8 min · Terry Rodriguez & Salma Mayorquin