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Hi,
I have created several custom models. I am trying to deploy them to an NCS 1 and it isn't working.
With the command
mvNCCompile network.prototxt -w network.caffemodel -s MaxNumberOfShaves -in InputNodeName -on OutputNodeName -is InputWidth InputHeight -o OutputGraphFilename
What does 'network.caffemodel' correspond to in a TensorFlow object detection network? All I can see mentioned is .prototxt files; but these are not used in object detection.
On this subject, what is -in also?
I am trying :
mvNCCompile model.ckpt -s 1 -in=frozen_inference_graph.pb -on=node -o graph.graph
but it exists with error 15 -
[Error 15] Toolkit Error: Parser Not Supported: None
Can anyone help please?
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Thanks for reaching out!
Try using the following format to compile your network into a Movidius graph file.
mvNCCompile -s <number of shaves> <name of the model>_frozen.pb -in=input -on=output
-in parameter is expecting the name of your input node
-on parameter is expecting the name of your output node
You can find additional information and examples here.
Regards,
Jesus
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Thanks for reaching out!
Try using the following format to compile your network into a Movidius graph file.
mvNCCompile -s <number of shaves> <name of the model>_frozen.pb -in=input -on=output
-in parameter is expecting the name of your input node
-on parameter is expecting the name of your output node
You can find additional information and examples here.
Regards,
Jesus
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