Impulses can be deployed as an optimized OpenMV library. This packages all your signal processing blocks, configuration and learning blocks up into a single package. You can include this package in your own application to run the impulse locally. In this tutorial you'll export an impulse, and run the application on the OpenMV H7 Camera to classify images.
Make sure you followed the Image classification tutorial, have a trained impulse, and can load code on your OpenMV Camera.
Head over to your Edge Impulse project, and go to Deployment. From here you can create the full library which contains the impulse and all external required libraries. Select OpenMV library and click Build to create the library. Then download and extract the .zip file.
To add the model to your OpenMV camera copy the
labels.txt files to the 'OpenMV Cam' volume (like a USB drive).
Next, open the
ei_image_classification.py file in the OpenMV IDE, and press the 'Play' icon to run the script.
You now have your impulse running on your OpenMV camera!
Updated over 1 year ago