MediaPipe for Raspberry Pi and iOS

In May, MediaPipe Solutions introduced tools for no-code and low-code machine learning tasks on Android, web, and Python, and has now expanded to include an iOS SDK and an updated Python SDK for Raspberry Pi. These tools support audio classification, face landmark detection, and various natural language processing tasks. For Raspberry Pi, users can set up object detection by installing MediaPipe, OpenCV, and NumPy, and downloading a pre-trained model like EfficientDet-Lite0. For iOS, developers can use MediaPipe to perform text classification by creating a TextClassifier object and passing strings to receive classification results. Detailed examples and documentation for both platforms are available on GitHub and developers.google.com/mediapipe, with additional resources provided through I/O 2023 sessions.

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