https://github.com/ambidextrous9/tensorflow-lite-model-for-microprocessor

Tensorflow Lite : Model for Low Power Microprocessor
https://github.com/ambidextrous9/tensorflow-lite-model-for-microprocessor

Last synced: 7 months ago
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Tensorflow Lite : Model for Low Power Microprocessor

• Host: GitHub
• URL: https://github.com/ambidextrous9/tensorflow-lite-model-for-microprocessor
• Owner: ambideXtrous9
• Created: 2024-06-14T08:51:46.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-06-16T17:32:17.000Z (over 1 year ago)
• Last Synced: 2025-01-11T21:32:47.282Z (9 months ago)
• Language: C
• Size: 286 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
## Commands to install Tensorflow C in linux

1. Download the tar file : ```libtensorflow-cpu-linux-x86_64-2.15.0.tar.gz```

2. ```sudo tar -C /usr/local -xzf libtensorflow-cpu-linux-x86_64-2.15.0.tar.gz```

3. ```sudo ldconfig /usr/local/lib```

4. ``` gcc hello_tf.c -ltensorflow -o hello_tf```

5. ```./hello_tf```

## Convert tflite model to .h file

1. ```xxd -i QATModel.tflite > QATModel.h```

## Tensorflow Lite Build : 

1. [Build TensorFlow Lite with CMake](https://www.tensorflow.org/lite/guide/build_cmake)

### Reference Links :

1. [Tensorflow Lite C++](https://stackoverflow.com/questions/70138115/how-to-get-tflite-model-output-in-c)

2. [Getting Started with TensorFlow Lite for Microcontrollers](https://www.youtube.com/watch?v=gDFWCxrJruQ&t=188s)