This project will guide you through how to get started with carpet detection, using Acconeer's A121 sensor.
In this repo, you will find
- data: A folder with data, used to train the model. Once you have run through the example with the supplied data, feel free to record you own data.
- model_development.ipynb: A notebook guiding you through the processes of feature extraction, model definition, training and evaluation.
- realtime_deployment.py: A python script executing the classification model in realtime.
- utils.py: A python script containing util functions.
If you want to learn more about Acconeer's sensors, tools and algorithms, please visit the Documentation site.
For information on what hardware to get and how to get started with the sensor, please visit Acconeer's Innovation Lab.