open_model_zoo: "malloc(): unsorted double linked list corrupted" problem on raspberry pi4 when I run the C++ demo smart_classroom_demo

when I run the C++ demo smart_classroom_demo on Ubuntu it’s working well, but when I run the C++ demo smart_classroom_demo on raspberry pi4, I got the error message “malloc(): unsorted double linked list corrupted” I want to know how to solve this problem. thanks

pi@raspberrypi:~/open_model_zoo/demos/build/armv7l/Release $ ./smart_classroom_demo -m_fd ~/model/face-detection-adas-0001.xmlGi -m_act ~/model/person-detection-action-recognition-0005.xml -i ~/ncs2_test/May.mp4 -d_act MYRIAD -d_fd MYRIAD -d_lm MYRIAD -d_reid MYRIAD
[ INFO ] InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.1.0-1237-bece22ac675-releases/2021/1
[ INFO ] Parsing input parameters
[ INFO ] Loading Inference Engine
[ INFO ] Device info: 
	MYRIAD
	myriadPlugin version ......... 2.1
	Build ........... 2021.1.0-1237-bece22ac675-releases/2021/1

malloc(): unsorted double linked list corrupted
已經終止

btw. on Ubuntu it’s working well

dvlab@dvlab-Z370M-D3H:~/inference_engine_demos_build/intel64/Release$ ./smart_classroom_demo -m_act ~/models/person-detection-action-recognition-0005.xml -m_fd ~/models/face-detection-adas-0001.xml -i /home/dvlab/下載/sit.mp4 -d_act MYRIAD -d_fd MYRIAD -d_lm MYRIAD -d_reid MYRIAD
[ INFO ] InferenceEngine: 	API version ......... 2.1
	Build ........... 2021.1.0-1237-bece22ac675-releases/2021/1
[ INFO ] Parsing input parameters
[ INFO ] Loading Inference Engine
[ INFO ] Device info: 
	MYRIAD
	myriadPlugin version ......... 2.1
	Build ........... 2021.1.0-1237-bece22ac675-releases/2021/1

[ WARNING ] Face recognition models are disabled!
To close the application, press 'CTRL+C' here or switch to the output window and press ESC key

[ INFO ] Mean FPS: 3.67467
[ INFO ] Frames processed: 15

[ INFO ] Execution successful

About this issue

  • Original URL
  • State: closed
  • Created 4 years ago
  • Reactions: 2
  • Comments: 20 (12 by maintainers)

Most upvoted comments

@engineer0204 the issue might be related with the fact that OpenVINO RaspberryPi package built by cross-compilation tools, not native one (although versions of gcc are the same). And then, when you build application by native tools and link with OpenVINO libraries built by cross-compiler tools, there are some runtime issues. We are investigating this.

@asuhov FYI