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    .py file along with TensorFlow Lite

    Spresense
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      Chandasri G last edited by

      I want to use TensorFlow lite for programming to create image classification tasks using neural networks and a few other tasks in python language. What is the best possible choice using the Spresense board?

      1. SDK supports TensorFlow Lite so that the .py extension file can be created. Can you describe the procedure to create a .py file in the SDK CLI environment? or
      2. Can I use TensorFlow Lite in Circuit python environment? or
      3. Using SDK create a TensorFlow Lite model and store the C array in sd card and use Circuit Python for other python tasks along the with loading the C array of TensorFlow Lite model?
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        KamilTomaszewski DeveloperWorld @Chandasri G last edited by

        Hi @Chandasri-G,

        Currently it is not possible to use TensorFlow Lite Micro with CircuitPython on Spresense. This is because CircuitPython does not support TensorFlow.

        If you wanted to use TensorFlow on CircuitPython, you could add a module to CircuitPython as shown here for camera: https://github.com/adafruit/circuitpython/pull/3369

        Best Regards,
        Kamil Tomaszewski

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        • C
          Chandasri G @KamilTomaszewski last edited by

          @KamilTomaszewski
          okay. thanks for your reply!!

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