#cross-platform deployment

Paddle2ONNX facilitates the transformation of PaddlePaddle models into the ONNX format, supporting integration with multiple inference engines such as TensorRT and OpenVINO. Compatible with PaddlePaddle version 2.6.0 and ONNXRuntime 1.10.0 and above, it offers command-line tools for model parameter adjustments and ONNX model optimization, enhancing deployment flexibility across platforms. Developers can also engage in its development by following contribution guidelines, making it a valuable tool for cross-platform machine learning deployment.

Explore the official MediaPipe samples designed to illustrate the core processes of app development with this versatile machine learning platform. MediaPipe provides streamlined low-code and no-code solutions, including Tasks, Model Maker, and Studio, for developing and deploying custom ML models across various platforms. Users are advised to host more intricate demos separately and contribute their tutorials to the Google DevLibrary.