Re-id with multiple cameras on deepstream 5.0.1

Accelerated Computing Intelligent Video Analytics DeepStream SDK
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Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) Jetson
• DeepStream Version 5.0.1
• JetPack Version (valid for Jetson only) 4.4
• TensorRT Version 7.1.3.0-1+cuda10.2
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs)
Multi-camera RTSP stream that can track and Re-ID human subjects. I understand that NVdeepsort allows for custom re-identification but I am confined to use jetpack 4.4 and deepstream 5.0.1 and I am curious if there have been any successful cases with models or workarounds that can achieve this given my confines.

I have read that despite the limitations of deepstream 5.0.1 people have successfully ran yolov4 in this environment. I am curious if I am able to use yolov4 with the darknet method what can you recommend models, etc… to implement to achieve detection-tracking-facial recognition and re-id using 3 rtsp streams?

Thank you in advance.

• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)

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There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks

DeepStream 5.0.1 is too old version. Please use the latest version.

Do you want to get Re-ID in your project? If so, you add add Re-ID model as SGIE in your pipeline to get the Re-ID.

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