Make examples failed!

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I followed the installation procedure: https://developer.movidius.com/start

I started with fresh raspbian stretch and followed the steps. I was able to successfully install the NC SDK. However, it failed to test the installation. Make installation is successful. But, the make examples is failing.

Error importing caffe

make[4]: Leaving directory '/home/mc/workspace/ncsdk/examples/caffe/GoogLeNet'cp: cannot stat '../../caffe/GoogLeNet/graph': No such file or directoryMakefile:9: recipe for target 'googlenet' failedmake[3]: *** [googlenet] Error 1make[3]: Leaving directory '/home/mc/workspace/ncsdk/examples/apps/multistick_cpp'Makefile:12: recipe for target 'multistick_cpp/.' failedmake[2]: *** [multistick_cpp/.] Error 2make[2]: Leaving directory '/home/mc/workspace/ncsdk/examples/apps'Makefile:12: recipe for target 'apps/.' failedmake[1]: *** [apps/.] Error 2make[1]: Leaving directory '/home/mc/workspace/ncsdk/examples'Makefile:57: recipe for target 'examples' failedmake: *** [examples] Error 2

Please help!

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failed on raspberry too

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it is super frustrating! NCSDK version 1 works on virtualbox and raspberry pi. But version 2 has so many problems. Virtual box is not able to detect the usb while installing the second (latest) version. And the raspberry pi is also throwing some errors while implementing the yolo model. Very immature device!

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Same error here, I am trying to install the version1, I have'nt even tested it yet, due to the errors.

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Same error here. Has there been any soultions posted?

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@jhurley @lucas.baiao Please go to one of the samples in the Caffe folder like AlexNet and do a make run and post the output here. Make sure to open a new terminal window after installation to set the PYTHONPATH environment variable. Instead of using make examples, I recommend

using the install-opencv.sh script and then building each example as you need using make run or make compile inside of each of the sample network folders.

The NCSDK 2 Tiny Yolo V2 project wont build in Raspian Stretch on the RPi because the makefile clones the Darkflow repo and downloads the cfg and bin file and then converts it to a Tensorflow PB file using Darkflow. This conversion isn't possible on the Pi at the moment because of the Darkflow incompatibility, but if you build the Tiny Yolo v2 project on a laptop running Ubuntu and then move the graph file over, the sample code can run on the RPi using the graph file.