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Beginner
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Model Optimizer TensorFlow conversion

Hi guys,

I'm having trouble converting a frozen tf model to IR. It's a Multi Column CNN arhitecture. Frozen model can be found here: https://github.com/RobertStancu/CrowdCount. Here is the repository from where I've trained and frozen the model: https://github.com/uestcchicken/crowd-counting-MCNN. 

Here's the error: shape [-1,-1,-1,1]. is not fully defined for output 0 "PlaceHolder". Same happens when trying to change the input shape with the --input_shape parameter. 

Thanks in advance.

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Employee
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Dear Stancu, Robert

Though numpy is "A-OK" with -1 as values for layer shapes OpenVino is not.  OpenVino expects that layer shapes and dimensions within a model are explicitly defined and also positive (greater than 0).

Hope it helps,

Thanks,

Shubha

 

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