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Python Demo Models on RPi and Neural Compute Stick 2

open_vino_user
Beginner
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Hi

I'm running the Python Text Detection Model PixelLink Demo Models on Raspberry Pi and Neural Compute Stick 2 with Open Vino.

https://github.com/opencv/open_model_zoo/blob/2018/demos/python_demos/text_detection_demo.py ;

 The spec is  51.256 GFlops  http://docs.openvinotoolkit.org/latest/_text_detection_0002_description_text_detection_0002.html

I'm seeing inference speed of ~> 30 seconds for one image.

Is this is what would be expected of a model of this complexity or should I continue to investigate possible configuration issues ?

 

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