MediaPipe Installation

MediaPipe is an open-source, cross-platform machine learning framework developed by Google Research, focusing on real-time multimedia processing.

MediaPipe Features

• Cross-Platform Support

  Supports Android, iOS, Linux, macOS, Windows, and other platforms with a unified API, reducing the workload for platform adaptation.

• Efficient Real-Time Processing

  Optimized for low latency, suitable for real-time applications, and utilizes hardware acceleration (such as GPU, DSP) to enhance performance.

• Pre-built Solutions

  Offers various out-of-the-box machine learning models and processing pipelines, including face detection, hand tracking, pose estimation, 3D object detection, and more.

• Modularity and Extensibility

  Users can customize processing pipelines by combining different calculators and data flow graphs.

  Supports integration with custom TensorFlow, TFLite models, or other ML models.

• Lightweight

  Models are optimized for mobile devices, balancing accuracy and computational resource consumption.

Installing MediaPipe

You can install MediaPipe using the pip command.

tip

Before installing MediaPipe, it's recommended to have Python 3 (preferably Python 3.9+) and OpenCV installed. For OpenCV installation, refer to OpenCV Installation.

Currently, MediaPipe only supports Python 3.9 to Python 3.12.

radxa@device$

pip3 install mediapipe

Verifying MediaPipe

Open a terminal and enter the Python interactive mode by typing python3.

radxa@device$

python3

After entering the Python interactive mode, enter the following commands to verify that MediaPipe is installed correctly.

radxa@device$

import mediapipe
print(mediapipe.__version__)

If the MediaPipe version number is successfully displayed, the installation was successful.