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Normalize input in object detector example
Description
Hello, I took a look at your object detector example here That uses SSD mobilenetv2 (among the suggested parameters) from the coral page.
Looking with Netron at the network, I see that the input of the network is called: normalized_input_image_tensor. Does that mean that the network expect the input to be quantized somehow? If yes, is the normalization missing in the example?
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Issue Type
Documentation Bug
Operating System
Linux
Coral Device
No response
Other Devices
No response
Programming Language
Python 3.9
Relevant Log Output
No response
Hello @Corallo I think normalization and quantization not required for the detection demo. Feel free to add the code from classify_image.py if you wish to do so. Thanks!