Intel® Distribution of OpenVINO™ Toolkit
Community assistance about the Intel® Distribution of OpenVINO™ toolkit, OpenCV, and all aspects of computer vision-related on Intel® platforms.

NCSDK on macOS / OSX

idata
Employee
1,109 Views

Hi,

 

Has anyone tried to install this on macOS/OSX?

 

Any guidelines / instructions on doing this on that platform?

 

When I try, I get the following error:

 

MacBook-Pro:ncsdk ss$ make install

 

sed: 1: "ncsdk.conf": extra characters at the end of n command

 

make: *** [prereqs] Error 1

 

MacBook-Pro:ncsdk ss$

 

Thanks,

 

Sandip

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5 Replies
idata
Employee
688 Views

@sshah254, you'll have to run NCSDK on a VM for MAC & Windows. Instructions are here - https://movidius.github.io/ncsdk/VirtualMachineConfig.html

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idata
Employee
688 Views

Hi,

 

I'm facing the same issue on MAC. At this point the https://movidius.github.io/ncsdk/VirtualMachineConfig.html page returns 404. Is there another page containing the same information?

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idata
Employee
688 Views

@samehuman Here is the updated link: https://movidius.github.io/ncsdk/vm_config.html. You can always use the doc site's table of contents to find what you need: https://movidius.github.io/ncsdk/TOC.html

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idata
Employee
688 Views

Hi

 

At this time I have not yet been able to successfully install the full sdk on Mac OS, full install meaning compilation tools+ 'run-time' tools.

 

However, it is possible to trick the 'run-time' part of install to make it run on MacOS. Then, if you cannot translate your models in a format suitable for Movidius stick on MacOS, you can do the translation in a supported platform (or grab it from someone else),plug your Movidius on your Mac and make it run your translated model without usage of a VM.

 

The process is described at: https://github.com/acharroux/Movidius-On-MacOS

 

Enjoy !
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idata
Employee
688 Views

Depends on the mac, but you should be running Ubuntu 16.04, and if you can't figure it out past that then do your self a favor and return the USB and forget CV Neural Networks or aplicable data science. Also your question lacks detail and should be deleted

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