Image classification/"cannot set tensor: got value of type uint8 but expected type float32 for input 0, name: input_1 "

[Adesoji1]

I am trying to expose my tflite image classification to web API but I keep getting the error message from fast API which says detail": "cannot set tensor: got value of type uint8 but expected type float32 for input 0, name: input_1 ". in addition, attached are the files for my web API, please how do I correct this sir, I believe there is something wrong in the codes. Details for reproducing is found in step.txt issue.zip

[robmarkcole]

sound like your model is in the wrong format, see something like https://stackoverflow.com/questions/52530724/python-tensorflow-lite-error-cannot-set-tensor-got-tensor-of-type-1-but-expecte

Issues are not a place for code reviews except for on this codebase

[haticeozdemir]

Did you solve this error? If so, how did you solve it?

[robmarkcole]

@haticeozdemir My guess is a greyscale image has been passed but RGB is expected by the model

[haticeozdemir]

Do you have posting your solution?

8 Eyl 2021 Çar 07:36 tarihinde Robin @.***> şunu yazdı:

@haticeozdemir https://github.com/haticeozdemir My guess is a greyscale image has been passed but RGB is expected by the model

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[tonytw1]

This example in the current (August 2022) TensorFlow documentation helped with this.

The calling code can ask the TensorFlow Lite interpreter if the model needs int or float inputs and converts if needed: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/examples/python/label_image.py

[robmarkcole]

Thanks for highlighting @tonytw1 I will reopen in case anyone wants to create a pull request