Explore machine learning inference on the Raspberry Pico 2040 using Edge Impulse in this comprehensive tutorial video. Set up the development environment, perform inference on sample data and sensor inputs, and learn about data forwarding. Gain insights into the porting process and discover how to implement a rock-paper-scissors classification using a light sensor. Follow along with step-by-step instructions, utilizing the Raspberry Pico 2040, Grove Extension shield, and various GitHub repositories. Access essential resources including the Pico C++ SDK and documentation to enhance your understanding of embedded machine learning applications.
Overview
Syllabus
Intro
Setup the environment
Perform inference on sample data
Perform inference on data from sensors
Data forwarder example
More details about how porting is done
Conclusion
Taught by
Hardware.ai