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Am trying multi_camera_multi_target_tracking_demo with test video files, running the demo on Ubuntu 20.04 with:
$ python3.9 multi_camera_multi_target_tracking_demo.py -i ./test_video/test1.mp4 ./test_video/test1.mp4 --m_detector intel/person-detection-retail-0013.xml --m_reid intel/person-reidentification-retail-0277.xml
But I encounter an error:
RuntimeError: Check 'false' failed at src/inference/src/core.cpp:100: [ NETWORK_NOT_READ ] Unable to read the model: intel/person-detection-retail-0013.xml Please check that model format: xml is supported and the model is correct. Available frontends: paddle pytorch tflite tf ir onnx
From what I understand the script wants onnx format and I am using xml format. Can someone give me a tip on how to redownload onnx format model?
when I cloned the open model zoo repo I used the directions omz_downloader --all and omz_converter --all
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Hi Bartlino,
Thank you for reaching out to us.
I was able to run the Multi Camera Multi Target Python* Demo using OpenVINO 2022.3.0 on Ubuntu 20.04 without issues. Here is the command and result of the demo:
python3 multi_camera_tracking_demo.py -i ./people-detection.mp4 ./people-detection.mp4 --m_detector person-detection-retail-0013/FP16/person-detection-retail-0013.xml --m_reid person-reidentification-retail-0277/FP16/person-reidentification-retail-0277.xml
Please ensure your OpenVINO and Open Model Zoo are the same version. For example, if you're using OpenVINO 2022.3.0, clone the specific branch of Open Model Zoo 2022.3.0:
git clone --depth 1 -b 2022.3.0 https://github.com/openvinotoolkit/open_model_zoo.git
Additionally, you can download the individual model using the following command:
omz_downloader --name person-detection-retail-0013
omz_downloader --name person-reidentification-retail-0277
Regards,
Hairul
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Hi Bartlino,
This thread will no longer be monitored since we have provided a solution. If you need any additional information from Intel, please submit a new question.
Regards,
Hairul
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