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EdjeElectronics / TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi

A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
Apache License 2.0
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Add macos deployment guide #179

Closed maxhancock1 closed 6 months ago

maxhancock1 commented 6 months ago

This pull request enables MacOS users to deploy the TFLite model. The guide provides step-by-step instructions for deploying a TensorFlow Lite object detection model on MacOS, enabling users to leverage the model efficiently for their applications.

Changes:

  1. Added a new section to the project documentation titled "MacOS_TFLite_Guide.md".
  2. Included detailed instructions on setting up the required dependencies on MacOS.
  3. Provided step-by-step instructions for downloading and configuring Anaconda, using the same steps as the Windows guide.
  4. Included commands to assist users in integrating the model into their MacOS applications.
  5. Updated the main README to link to the new macOS deployment guide.

Purpose:

The addition of this deployment guide aims to make the project more accessible to macOS users who wish to utilise TensorFlow Lite object detection models in their applications.