Intel® Distribution of OpenVINO™ Toolkit
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Need to run VGG16 modified for FCN on NCSDK

idata
Employee
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HI, I am doing my next-to-last project of the 3 term Self driving Car program @ Udacity. It entails modifying the VGG16 model to make it a Fully Convolutional Network… After training my network on a work-machine with NVidia GPU, I wanted to use the Movidius NCSDK I purchased to run the test pictures through… At this point, I have the NCSDK up and running, I saved the trained model (generated .index, .meta and .data-00000-of-00001 files). My next steps are why I reaching out to you for help.

 

1) do I need to generated a .pb file or the .index/.mata/… files I generated are useful?

 

2) Do you have sample code showing usage of VGG16?

 

3) any guidance you can provide would be much appreciated as I would like to keep using the NCSDK stick as I expand my knowledge

 

K
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idata
Employee
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@KahrenA We have added VGG16 support in the latest release.

 

     

  1. Converting a Tensorflow model to the NCS can be done using the meta file. More information can be found at: https://movidius.github.io/ncsdk/tools/compile.html and https://movidius.github.io/ncsdk/TensorFlow.html.
  2.  

  3. We currently do not have a VGG16 sample.
  4.  

  5. Explore https://movidius.github.io/ncsdk/index.html#Introduction for more information.
  6.  

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idata
Employee
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Hi, i have realized a model VGG16, download from trained model link

 

when use a *.pb file -> result ok

 

Compile a model -> no error

 

when use a *.graph file -> result wrong

 

my repository

 

to run for example:

 

python3 prediction.py --configfile ./config_cat_inception.json --model ./cat_inception.pb --test ./test_images.jpeg

 

then change:

 

python3 prediction.py --configfile ./config_cat_inception.json --model ./cat_inception.graph --test ./test_images.jpeg

 

use dogs or cats images.

 

Thanks in advance

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