Support for object detection using SqueezeDet

asked 2017-11-07 09:09:26 -0500

milan gravatar image

Hi,

Are there any future plans to extend the tf_importer so that it could also support SqueezeDet? At the moment, there are some layers missing (e.g. strided_slice) and I wouldn't really know how to implement these myself.
I find SqueezeDet one of the better architectures for object detection and it would be great if the graph models could be deployed through OpenCV.

Kind regards,

Milan

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Hi, Milan! Please leave a reference to model to make sure that we'll test the right one.

dkurt gravatar imagedkurt ( 2017-11-08 04:16:47 -0500 )edit

Hi,

Thanks for the response!

I'm referring to a trained model (for the KITTI vision dataset) from this repository: https://github.com/BichenWuUCB/squeez... I've put aside the model of interest along with its frozen graph (which I'm trying to deploy in OpenCV) here: https://www.dropbox.com/sh/vxbf3g98cx...

It has the following layers: https://justpaste.it/1daoy (too much to paste here) The tensorflow importer parses everything up until "conv12/bias_add", but it has no functionality for some of the other layers/operations (which can't be stripped because they are needed to interpret the output).

Best regards,

Milan

milan gravatar imagemilan ( 2017-11-08 06:48:38 -0500 )edit