Need to run VGG16 modified for FCN on NCSDK

[idata]

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 knowledgeK

[idata]

@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. We currently do not have a VGG16 sample.
3. Explore https://movidius.github.io/ncsdk/index.html#Introduction for more information.

[idata]

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

when use a *.pb file -> result okCompile a model -> no errorwhen use a *.graph file -> result wrongmy repositoryto 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