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New Contributor I
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Modify parameters for SSD object detection trained with tensorflow

For SSD training in Tensorflow, I have modified aspect ratios and feature layers. Will they be reflected in OpenVino conversion? 

I am not taking out from 6 layers (default SSD has 6 layers for feature extraction).

Aspect ratio is in config file. Is it taken care in conversion?

How about feature layers? How can I make sure it is reflected in conversion?

 

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Moderator
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Re:Modify parameters for SSD object detection trai...

Hi Nyan Naing,


Model Optimizer supports two types of image resizer, with one of them being keep_aspect_ratio_resizer.


More information is available at the following links:


https://docs.openvinotoolkit.org/2020.3/_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_...


https://docs.openvinotoolkit.org/2020.3/_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_...


https://docs.openvinotoolkit.org/2020.3/_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_...


Additionally, detailed explanations of model conversion process for SSD topologies are available at the following link:


https://docs.openvinotoolkit.org/2020.3/_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_...


Regards,

Munesh


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