Can DataFrame be used in TensorFlowLite for Swift iOs?

[Dominic_Pritham]

Hello all:

Apologizes for such basic questions but I am stuck and looking for a different perspective:

Here are my questions:

1. Can I train a .tflite model in Python on my laptop and deploy it in an iphone swift iOS app?

2. The python example I followed trains and tests the model with input as a DataFrame. It takes one row at a time from a csv file and passes that to the model. Here is the link to the python example: Human Pose Classification with MoveNet and TensorFlow Lite

3. In swift ios, (link here: examples/lite/examples/pose_estimation/ios at master · tensorflow/examples · GitHub) the interpreter.copy expects type Data and does not accept DataFrame.

4. Are there any examples out there or

5. best practices I need to be using or

6. Any direction/hints you could offer?

[Kiran_Sai_Ramineni]

@Dominic_Pritham

Can I train a .tflite model in Python on my laptop and deploy it in an iphone swift iOS app?

Hi @Dominic_Pritham, You cannot train the .tflite model. You have to train the keras model and convert it to tflite and can deploy it on IOS as well.

@Dominic_Pritham

interpreter.copy expects type Data and does not accept DataFrame.

For making predictions using tflite file you cannot pass a dataframe. you have to pass a single example at a time. since the batch size will be one by default.

@Dominic_Pritham

Are there any examples out there or

Please refer to this documnet for more tflite examples.

Thank You.