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.

Both OpenVINO demos are failing

Sarkar__Mani
Beginner
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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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