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I am using OpenVino recent kit : l_openvino_toolkit_runtime_raspbian_p_2020.2.120.tgz Raspberry - Pi4. Open CV 4.3.0-openvino.
Trying to use the OpenCV DNN with tensorflow net and also caffe. But getting segmentation fault at net.forward() call.
I am using ssd inception v2 .
Below is the code for tensorflow in Python . I do not know how to proceed and resolve it. I tried searching and could not find a working solution for this.
Steps I am doing ( the paths are configured correctly )
Initialize the tensorflow net
tensorflowNet = cv2.dnn.readNetFromTensorflow(PATH_TO_CKPT, PATH_TO_LABELS)
tensorflowNet.setPreferableTarget(cv2.dnn.DNN_TARGET_MYRIAD) ## set to use the NCS2
PASS THE BLOB TO TENSORFLOW NETWORK
blob = cv2.dnn.blobFromImage(frame, size=(300, 300), swapRB=True, crop=False)
pass the blob through the network and obtain the detections and
tensorflowNet.setInput(blob)
print ("Before forward")
detections =tensorflowNet.forward()
print("after forward")
It fails at .forward method.Console out put is as below.
pi@raspberrypi:~/guardeyelite $ python3 OpenCVTensorFlow.py Frame found
processing frame done
Before forward
Segmentation fault
-----------------------
When using GDB Python3 - I get the following : [New Thread 0xa0a29460 (LWP 3574)] Thread 1 "python3" received signal SIGSEGV, Segmentation fault. 0xaefeeeda in ?? () from /opt/intel/openvino/deployment_tools/ngraph/lib/libngraph.so (gdb)
I do not know how to proceed
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Hi Himant,
Thanks for reaching out.
Could you please give us the corresponding files to test your issue from our end? (Such as the .pb, .pbtxt and the .py)
Regards,
David
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Hi,
Yes, sure. I have uploaded the files. My python file has the same code as above, there is nothing special.
I am sharing some snippet again below
Our purpose is to use NCS2 only for inference.
I also tried using previous version of toolkit - but did not work.
tensorflowNet = cv2.dnn.readNetFromTensorflow(PATH_TO_CKPT, PATH_TO_LABELS) tensorflowNet.setPreferableTarget(cv2.dnn.DNN_TARGET_MYRIAD) ## set to use the NCS2 #PASS THE BLOB TO TENSORFLOW NETWORK blob = cv2.dnn.blobFromImage(frame, size=(300, 300), swapRB=True, crop=False) tensorflowNet.setInput(blob) print ("Before forward") detections =tensorflowNet.forward() ### FAILING HERE print("after forward")
Regards,
Himant
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Hi Himant,
Thank you for the files provided.
We tested this on Rpi and we encountered the same problem. As you are using ssd_inception_v2, this is a network that is not supported by the Myriad plugin, you can check all the supported networks here. Also, for more information on future projects, you can check the supported layers documentation.
Best regards,
David
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Hi David,
Thanks for the update.
While using , i found out that opencv , precompiled is not having opencv contrib.
I have an issue now with trackers. I saw another post in the forums for the same, but could not solve with source compilation of openCV4.2 Openvino.
Current situation is as below :
1. Openvino toolkit with opencv 4.2.0-openvino
2. Source compiled opencv 4.2-openvino + open contrib
3. What changes in setupvars shall be done. ( I only want to use the contrib module, and keep using the openvino opencv) - Is it feasible?
4. If i change also opencv path to source compiled version - the myriad plygin doesnt work.
Regards,
Himant
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Hi Himant,
Thank you for your reply.
If you want to use your own OpenCV version, I recommend you to install the open-source version of Intel® OpenVINO™ toolkit, the Deep Learning Development Toolkit (DLDT). This guide will help you on its installation.
If this doesn't work and you keep getting issues with OpenCV, you should post this inquiry in an OpenCV support forum since you are having trouble using pure OpenCV.
Regards,
David
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Hello David,
While doing the steps from DLDT part, the CMAKE keeps failing with the following errors in Error file.
My command for CMAKE is as follows
sudo cmake -DCMAKE_SHARED_LINKER_FLAGS=-pthread -DCMAKE_BUILD_TYPE=Release -DCMAKE_CXX_FLAGS='-march=armv7-a' -DENABLE_MKL_DNN=OFF -DENABLE_CLDNN=OFF -DENABLE_GNA=OFF -DENABLE_SSE42=OFF -DTHREADING=SEQ ..
Error is as below
File /home/pi/dldt/inference-engine/build/CMakeFiles/CMakeTmp/CheckSymbolExists.c: /* */ #include <pthread.h> int main(int argc, char** argv) { (void)argv; #ifndef pthread_create return ((int*)(&pthread_create))[argc]; #else (void)argc; return 0; #endif } Determining if the function pthread_create exists in the pthreads failed with the following output: Change Dir: /home/pi/dldt/inference-engine/build/CMakeFiles/CMakeTmp Run Build Command:"/usr/bin/make" "cmTC_41824/fast" /usr/bin/make -f CMakeFiles/cmTC_41824.dir/build.make CMakeFiles/cmTC_41824.dir/build make[1]: Entering directory '/home/pi/dldt/inference-engine/build/CMakeFiles/CMakeTmp' Building C object CMakeFiles/cmTC_41824.dir/CheckFunctionExists.c.o /usr/bin/cc -DCHECK_FUNCTION_EXISTS=pthread_create -o CMakeFiles/cmTC_41824.dir/CheckFunctionExists.c.o -c /usr/share/cmake-3.13/Modules/CheckFunctionExists.c Linking C executable cmTC_41824 /usr/bin/cmake -E cmake_link_script CMakeFiles/cmTC_41824.dir/link.txt --verbose=1 /usr/bin/cc -DCHECK_FUNCTION_EXISTS=pthread_create -rdynamic CMakeFiles/cmTC_41824.dir/CheckFunctionExists.c.o -o cmTC_41824 -lpthreads
Let me know, how to proceed with it please.
Thanks
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Hi Himant,
Thank you for the information.
We are looking into this issue, we will contact you as soon as possible.
Regards,
David
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Hi Himant,
If you are having trouble with building the DLDT in Rpi, you can check in the github repository, the Build for Raspbian Stretch* OS instructions.
Best regards,
David
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Hi,
I managed with openvino version from Jan,2020. Other versions are problematic as of now.
FYI, even SSD inception is also working with this version and even without convertion to .bin/.xml
Regards,
Himant

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