open model zoo multi_camera_multi_target_tracking_demo

Am trying multi_camera_multi_target_tracking_demo with test video files, running the demo on Ubuntu 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

Clone the specific branch for Open Model Zoo 2022.3.0 if you're using OpenVINO 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

You seem to have the path of the models slightly wrong, and that's why the program is not finding them.

If you call omz_downloader --all from the same location of the python program, then the models will be downloaded to ./intel/MODEL_NAME/FPXX/MODEL_NAME.[xml,bin].

So, to actually call the program with the correct model paths you should call it like this for example(if using the FP32 version):

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/FP32/person-detection-retail-0013.xml --m_reid intel/person-reidentification-retail-0277/FP32/person-reidentification-retail-0277.xml