Cookbook running the jupyter notebook with my own data

Collect images from my own device

First you need your own data. There's an tool to download and label it easily.

pip install git+https://github.com/haverland/collectmeterdigits
pip install -r requirements.txt
pip install tensorflow
python3 -m collectmeterdigits --collect=<devicename or ip> --days=3

Sort out all images as asked and relabel it. More details on https://github.com/haverland/collectmeterdigits

Build my own neuronal model

git clone haverland/Tenth-of-step-of-a-meter-digit
add my curated images in the collected/powermeter/emeter_c26 folder
pip install -r requirements.txt
jupyter notebook dig_class100-s2.ipynb

Click the play button until the end (or click the "double right arrow" to play it all at once).

It takes a while and while the notebook is running, the browser tab will show an hourglass.

At the end, I took the tflite generated in the output folder, uploaded it on my ai-on-the-edge device, changed the config to use it.