Written by George Soloupis ML GDE. This is part 2 of a stable diffusion example inside an android app. At part 1 we explored the Tokenizer and the Encoder with the usage of Chaquopy’s SDK and TensoFlow Lite. …

Written by George Soloupis ML GDE. This is a blog post that demonstrates how you can deploy a stable diffusion pipeline inside and android app. Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. It consists of four parts — a Tokenizer…

Written by George Soloupis ML GDE. This blogpost demonstrates the impact of Albumentations on a small dataset which is used to create a segmentation model that is deployed in a mobile phone as a .tflite file. By enhancing the dataset with some of the transforms, we manage to overcome different…

Written by George Soloupis ML GDE. This is a guide of how you can shrink the final size of your android application’s .apk by building tensorflow-lite-select-tf-ops.aar and tensorflow-lite.aar files with Colab without the need of Docker or your personal PC’s environment. When you are building applications which will require the…

Written by George Soloupis ML GDE. This is a project that demonstrates how to use Speech Commands Google’s example inside an android application. From a TensorFlow version 1.x frozen graph we will demonstrate the conversion to a .tflite file and then how inference is performed inside the mobile phone. With…

Written by George Soloupis ML GDE. This is a blog post that summarizes the effort to prototype a simple solution to detect food quality for people with impaired or loss of smell with the help of a single board computer (Raspberry Pi 4B), a bunch of simple air sensors and…

Written by George Soloupis ML GDE. This is a post on how you can use TensorFlow Lite Interpreter inside a single board computer such as the Raspberry Pi. Due to the limited resources this computer has we can skip the whole TensorFlow installation and proceed with the lighter tflite-runtime. …

Written by George Soloupis ML GDE. This blog post is about processing simple air sensors’ data with the help of Machine Learning. The data are collected from an array of air sensors with the help of a Raspberry Pi 4B. You can see the set up and get informed at…

Written by George Soloupis ML GDE. This is an effort to combine together all the basic air sensors to a single Raspberry project and create a solution that can help those with smell impairment identify food degradation. Raspberry Pi is used to collect data from air sensors over time during…