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Sarkar__Mani
Beginner
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Both OpenVINO demos are failing

Both OpenVINO demos are failing, the ones that verify that the NCS device attached to the computer do work.

Here is the output when running one of the demos:

```

Run /opt/intel/computer_vision_sdk/deployment_tools/demo/../model_downloader/downloader.py --name "squeezenet1.1"


###############|| Start downloading models ||###############

...100%, 9 KB, 20257 KB/s, 0 seconds passed ========= squeezenet1.1.prototxt ====> /opt/intel/computer_vision_sdk_2018.2.300/deployment_tools/demo/classification/squeezenet/1.1/caffe/squeezenet1.1.prototxt

###############|| Start downloading weights ||###############

...100%, 4834 KB, 1600 KB/s, 3 seconds passed ========= squeezenet1.1.caffemodel ====> /opt/intel/computer_vision_sdk_2018.2.300/deployment_tools/demo/classification/squeezenet/1.1/caffe/squeezenet1.1.caffemodel

###############|| Start downloading topologies in tarballs ||###############


###############||  Post processing ||###############

========= Changing input dimensions in squeezenet1.1.prototxt  =========


###################################################

Configure Model Optimizer

INTEL_CVSDK_DIR environment variable is not set. Trying to run ./setvars.sh to set it. 
[setupvars.sh] OpenVINO environment initialized
Found existing environment. Skipping installing dependencies for Model Optimizer.
If you want to install again, remove venv directory. Then run the script again

###################################################

Convert a model with Model Optimizer

Target folder ir/squeezenet1.1 already exists. Skipping IR generation../demo_squeezenet_download_convert_run.sh: line 166: If you want to convert a model again, remove the entire ${$ir_dir} folder. ${run_again}: bad substitution


###################################################

Build Inference Engine samples

Target folder /opt/intel/computer_vision_sdk/deployment_tools/demo/../inference_engine/samples/build already exists. Skipping samples building.If you want to rebuild samples, remove the entire /opt/intel/computer_vision_sdk/deployment_tools/demo/../inference_engine/samples/build folder. Then run the script again

###################################################

Run Inference Engine classification sample

Run ./classification_sample -d CPU -i /opt/intel/computer_vision_sdk/deployment_tools/demo/../demo/car.png -m /opt/intel/computer_vision_sdk/deployment_tools/demo/../demo/ir/squeezenet1.1/squeezenet1.1.xml

[ INFO ] InferenceEngine: 
    API version ............ 1.1
    Build .................. 11653
[ INFO ] Parsing input parameters
[ INFO ] Loading plugin

    API version ............ 1.1
    Build .................. lnx_20180510
    Description ....... MKLDNNPlugin
[ INFO ] Loading network files:
    /opt/intel/computer_vision_sdk/deployment_tools/demo/../demo/ir/squeezenet1.1/squeezenet1.1.xml
    /opt/intel/computer_vision_sdk/deployment_tools/demo/../demo/ir/squeezenet1.1/squeezenet1.1.bin
[ INFO ] Preparing input blobs
[ WARNING ] Image is resized from (787, 259) to (227, 227)
[ INFO ] Batch size is 1
[ INFO ] Preparing output blobs
[ INFO ] Loading model to the plugin
[ INFO ] Starting inference (1 iterations)
./demo_squeezenet_download_convert_run.sh: line 201:  9265 Illegal instruction     (core dumped) ./classification_sample -d $target_device -i $target_image_path -m "$ROOT_DIR/demo/${ir_dir}/squeezenet1.1.xml"
Error on or near line 201; exiting with status 1

```

I get a similar error when running the other Demo as well.

Where do I find the core dump, that I can add to this message?

Here's my CPU info:

```

uinfo
processor    : 0
vendor_id    : GenuineIntel
cpu family    : 6
model        : 42
model name    : Intel(R) Core(TM) i5-2415M CPU @ 2.30GHz
stepping    : 7
cpu MHz        : 2294.770
cache size    : 3072 KB
physical id    : 0
siblings    : 2
core id        : 0
cpu cores    : 2
apicid        : 0
initial apicid    : 0
fpu        : yes
fpu_exception    : yes
cpuid level    : 13
wp        : yes
flags        : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid pni pclmulqdq ssse3 cx16 sse4_1 sse4_2 x2apic popcnt aes xsave avx hypervisor lahf_lm pti flush_l1d
bugs        : cpu_meltdown spectre_v1 spectre_v2 spec_store_bypass l1tf
bogomips    : 4589.54
clflush size    : 64
cache_alignment    : 64
address sizes    : 36 bits physical, 48 bits virtual
power management:

processor    : 1
vendor_id    : GenuineIntel
cpu family    : 6
model        : 42
model name    : Intel(R) Core(TM) i5-2415M CPU @ 2.30GHz
stepping    : 7
cpu MHz        : 2294.770
cache size    : 3072 KB
physical id    : 0
siblings    : 2
core id        : 1
cpu cores    : 2
apicid        : 1
initial apicid    : 1
fpu        : yes
fpu_exception    : yes
cpuid level    : 13
wp        : yes
flags        : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid pni pclmulqdq ssse3 cx16 sse4_1 sse4_2 x2apic popcnt aes xsave avx hypervisor lahf_lm pti flush_l1d
bugs        : cpu_meltdown spectre_v1 spectre_v2 spec_store_bypass l1tf
bogomips    : 4589.54
clflush size    : 64
cache_alignment    : 64
address sizes    : 36 bits physical, 48 bits virtual
power management:

```

And OS info:

Linux ubuntu 4.15.0-42-generic #45~16.04.1-Ubuntu SMP Mon Nov 19 13:02:27 UTC 2018 x86_64 x86_64 x86_64 GNU/Linux

 

Python info:
PYTHONPATH=:/opt/movidius/caffe/python
Python 3.5.2
 

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