Running tinyYolo on Intel NCS error

[idata]

Hi everyone !

I am an undergrad student work who recently started out with intel NCS. I am trying to run TinyYolo on pi but an error as follows shows. I am also enclosing the paths (if that helps in any way)

pi@raspberrypi:~/workspace/ncappzoo/caffe/TinyYolo $ python run.py

Running NCS Caffe TinyYolo exampleTraceback (most recent call last): File "run.py", line 302, in sys.exit(main()) File "run.py", line 268, in main with open(tiny_yolo_graph_file, mode='rb') as f:IOError: [Errno 2] No such file or directory: './graph'

Any advice will be highly appreciated. Sorry if this is a very amateur problem.

Ali

[idata]

Have you compiled ncappzoo after cloning from git? The problem is that graph file cannot be found.

You can see an example here:https://software.intel.com/en-us/articles/build-an-image-classifier-in-5-steps-on-the-intel-movidius-neural-compute-stick

[idata]

I did but this shows up:

**Traceback (most recent call last):

File "convert_mean.py", line 3, in import caffeImportError: No module named 'caffe'Makefile:5: recipe for target 'all' failedmake[2]: *** [all] Error 1make[2]: Leaving directory '/home/pi/workspace/ncappzoo/data/age_gender'Makefile:17: recipe for target 'prereqs' failedmake[1]: *** [prereqs] Error 2make[1]: Leaving directory '/home/pi/workspace/ncappzoo/caffe/GenderNet'Makefile:11: recipe for target 'gendernet' failedmake: *** [gendernet] Error 2**

Please bear in mind that I am running this on raspberry pi 3

[idata]

You are doing this on a raspberry? If you don't have the whole SDK toolit on the raspberry only the API you cannot compile and profile networks.

https://movidius.github.io/blog/ncs-apps-on-rpi/First, you need a machine with Ubuntu 16 where you install the SDK toolkit, you can find the details in the ncsdk github readme.After you have compiled all the examples on this Ubuntu machine you can run the compiled graph files on the NCS even with a raspberry using the API.

If you don't have a linux machine with Ubuntu, you can compile everything on a virtual machine and after that you can copy the graph files to the raspberry.

If you have installed the whole toolkit on the raspberry then you have some problem with the path to the installed caffe package.