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Intel NCS Troubleshooting Help and Guidelines

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Troubleshooting Help and Guidelines

 

 

 

Are you having issues? Try the following:

 

 

NCSDK Installation Related Checklist

 

Platform and OS Check

 

 

NCSDK Version Check

 

 

Make Examples Error

 

 

Sudo/Root Installation Issues

 

 

Caffe Import Error

 

     

  • On the Raspberry Pi, a user had success by reinstalling the python decorator. This was done by typing the following command: sudo apt-get instal -reinstall python*-decorator. Reference post: (https://ncsforum.movidius.com/discussion/comment/1009/#Comment_1009)
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  • A user reported that installing scikit-image worked for him. This can be done by typing in the following command: sudo pip3 install scikit-image. Reference post: (https://ncsforum.movidius.com/discussion/comment/768/#Comment_768)
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  • A user reported that when he/she only sees the Caffe Import Error when he/she uses virtualenvs. When the user doesn't use virtualenvs, he did not run into the problem. For more information on virtualenv installation with the NCSDK , please visit https://movidius.github.io/ncsdk/virtualenv.html.
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  • Make sure that the account that is using the NCSDK is the same account that was used to install the NCSDK.
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  • Check your bashrc file to make sure your Python path is set.
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  • Check your Python path by typing in the following command in your Ubuntu terminal to see if your Python path was set by the install script: “echo $PYTHONPATH”
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  • If your Python path was not set, you can manually set your Python path by adding the following line to your bashrc file: export PYTHONPATH=/opt/movidius/caffe/python:/opt/movidius/mvnc/python:$PYTHONPATH
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NCS device error or Timeout error on Raspberry Pi 3

 

 

 

NCSDK Neural Network Related Checks

 

Unsupported Networks

 

 

SDK Unsupported layers

 

     

  • Check the layers (input, hidden, output) used in your network
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  • Some layers may not be supported by the current NCSDK. View the supported layers here: https://movidius.github.io/ncsdk/Caffe.html. If the layers are not on the supported list, please let us know so that we may accommodate your needs as developers.
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>1 Image Inference Not Supported

 

     

  • Check the batch size of your network’s prototxt file. Currently for the NCS, we only support a batch size of 1.
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SDK Layer Errors – Index out of Range

 

     

  • Make sure to remove all layers related to training and testing. This includes data layers that rely on labeled input.
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Graph File Size is too big

 

     

  • Check the size of the compiled graph file. Compatible graph files should be 320 MB or less.
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Caffe Input Shape Construct Error

 

 

Trying to run Tiny Yolo V2 on Raspberry Pi?

 

 

 

API related help

 

 

 

Still Not Working?

 

If these suggestions don’t solve your problem(s), please create a forum post with the following information:

 

     

  1. System specifications (x86? VM? Dedicated machine? Raspberry Pi? Please include OS also)
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  3. NCSDK version
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  5. Python version
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  7. Installation Error Log
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  9. Miscellaneous Error Log with error message(s)
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  11. Link to Neural Network for debugging purposes (prototxt file, caffe weights, github, pb files)
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  13. Any additional relevant information
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