SIGSEGV with interactive_face_detection_demo on RPi+NCS?

[Matsuzawa__Takashi]

Hello.
I am trying to run interactive_face_detection_demo sample from open_model_zoo, but getting memory-relate Segmentation fault.
Perhaps it is crashing while it is reading face-detection-adas-0001 model.

Any idea waht is causing this error and how to avoid it?

H/W: Raspberry Pi 3B+ and NCS2
OS: Rasbian Sretch
OpenVINO SDK: l_openvino_toolkit_ie_p_2018.5.445.tgz
Camera: either RPi default or USB webcam.

Error looks like this:

<<<<
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Reading symbols from /home/pi/inference_engine_samples_build/armv7l/Debug/interactive_face_detection_demo...done.
(gdb) r
Starting program: /home/pi/inference_engine_samples_build/armv7l/Debug/interactive_face_detection_demo -i cam -m /home/pi/wk1/open_model_zoo/intel_models/face-detection-adas-0001.xml -m_ag /home/pi/wk1/open_model_zoo/intel_models/age-gender-recognition-retail-0013.xml -m_hp /home/pi/wk1/open_model_zoo/intel_models/head-pose-estimation-adas-0001.xml -m_em /home/pi/wk1/open_model_zoo/intel_models/emotions-recognition-retail-0003.xml -m_lm /home/pi/wk1/open_model_zoo/intel_models/facial-landmarks-35-adas-0001.xml -d MYRIAD -d_ag MYRIAD -d_hp MYRIAD -d_em MYRIAD -d_lm MYRIAD -n_ag 2 -n_hp 2 -n_em 2 -n_lm 2
[Thread debugging using libthread_db enabled]
Using host libthread_db library "/lib/arm-linux-gnueabihf/libthread_db.so.1".
InferenceEngine: 
    API version ............ 1.4
    Build .................. 19154
[ INFO ] Parsing input parameters
[ INFO ] Reading input
[New Thread 0x7005c1a0 (LWP 2647)]
[New Thread 0x6cf6f1a0 (LWP 2648)]
[ INFO ] Loading plugin MYRIAD
[New Thread 0x6b72c1a0 (LWP 2649)]

    API version ............ 1.5
    Build .................. 19154
    Description ....... myriadPlugin
[ INFO ] Loading network files for Face Detection

Thread 1 "interactive_fac" received signal SIGSEGV, Segmentation fault.
0x76fb9bdc in memcmp () from /usr/lib/arm-linux-gnueabihf/libarmmem.so
(gdb) bt
#0  0x76fb9bdc in memcmp () from /usr/lib/arm-linux-gnueabihf/libarmmem.so
#1  0x00000000 in ?? ()
Backtrace stopped: previous frame identical to this frame (corrupt stack?)
(gdb) 
<<<<
 

[Makoszay__Juvenal]

Hi, I have the same problem. Any solution just yet?

[Makoszay__Juvenal]

Hi,

I have the same problem. Any solution just yet?

[Shubha_R_Intel]

Dearest Takashi and company,

Thank you for reporting this crash. I'm currently investigating it.

Again, thanks for using OpenVino !

Shubha

[Shubha_R_Intel]

Hello everyone ! You'll be happy to know that this issue has been fixed in our upcoming 2019 R1 OpenVino Release.

Thanks for your patience  and thanks for using OpenVino !

Shubha

[Kirkbride__Shane]

When will the new release be available?

[Kirkbride__Shane]

When will that release be ready? I'm also getting this error I need it resolved so I can move forward with my development.

[Shubha_R_Intel]

Hello everyone, I'm happy to report that the 2019 R1 OpenVino release is available today ! 

Happy downloading !

Thanks,

Shubha

[Matsuzawa__Takashi]

Hello.
Sorry I am a bit confused.

What I am trying now is to run OpenVINO demos on Raspberry Pi and the OpenVINO package I used is the following:
(as suggested by https://software.intel.com/en-us/articles/OpenVINO-Install-RaspberryPI)

>http://download.01.org/openvinotoolkit/2018_R5/packages/l_openvino_toolkit_ie_p_2018.5.445.tgz

But when I look into the OpenVINO toolkit 2019 release node and follow the download link suggested there:

>Where to Download This Release
>https://software.intel.com/en-us/OpenVINO-toolkit/choose-download

I only get the following target options:

>Windows
>Linux (supports Ubuntu, CentOS, and Yocto Project)
>Linux for FPGA
>macOS

I was brave anyway to try Linux package, and I get:

>l_openvino_toolkit_p_2019.1.094.tgz

But it looks like it only contains x86_64 rpms?

And if I look into below, there is no 2019_R1 folder (just 2018_R3, 2018_R4, 2018_R5 are there).

>https://download.01.org/openvinotoolkit/

Where I can find updated version of OpenVINO toolkit for Raspberry Pi OS?
 

[Shubha_R_Intel]

Dear Takashi:

I understand your confusion. Hopefully this document will help you ?

https://docs.openvinotoolkit.org/latest/_docs_install_guides_installing_openvino_raspbian.html

Thanks,

Shubha

[Matsuzawa__Takashi]

Hello!
Thank you very much for the pointer.
Now I could install 2019 R1 version of the package onto my RPi and run interactive_face_detection_demo successfully.

Just curious:

The demo as it is can gain benefit if I connect 2 or more NCS to my RPi?
(In other words, teh Myriad plugin can transparently load-balance requests among multiple NCS2 if they are available?)

Also, the plugin API (used by Myriad plugin and others) public?
I just wonder if anyone can come up with a plugin supporting RPi-GPU or others.