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?
Click to expand!
### 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!
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?
Click to expand!
### 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_