Tracker Confidence vs Inference Confidence

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

Deepstream Version 6.0

This question is about tracker and inference confidences on Deepstream 6.0.

I understand that inference confidence is available when using cluster-mode=1 or 2, (maybe 3?), and that tracker confidence is available when using the visual tracker (NvDCF).

How does tracker confidence relate to the inference confidence ? Is it confidence that the object has the correct id, or confidence that the object has been correctly classified, or both ?

In the case of wishing to extablish a filter to remove false positives caused by video noise, which confidence value would be most appropriate ?

3

The inference confidence comes from the model analysis and the tracker confidence comes from the tracking algorithm.

The inference confidence.

4

Thanks yuwiew for the prompt response.

Could you clarify what you meant by the answer you gave to the quoted text in your response ? Did you mean to answer “the inference confidence” to the question about video noise ?

5

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

Yes, you can try to use this to see if it works. Thanks

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