SipMask-VIS tracking implementation about sipmask HOT 9 CLOSED

@ollefager During Inference, we just compare the previous one frame with current frame. Please refer

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Thank you! Hmm, maybe I'm misunderstanding you. Because from my results I see that a specific track_id can disappear for a couple of frames to then appear again. This seems to indicate that the tracks are being saved for a number of frames.

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@ollefager The code save the last features of each previous object in memory.

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yes, so in each frame you also compare to the features of the objects in memory? If you only compare to the objects in the previous frame how could an object that has appeared earlier but does not appear in the previous frame, appear in the current frame?

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Yes. You are right. We only save one feature for each existed object.

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Okay. So do you ever remove an object from memory? Like if it hasn't appeared for a number of frames?

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If you don't mind I have another question. When comparing feature vectors you seem to compute their dot product, this line

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The dot product is used to compute the feature similarity. L638-L643 select the best match.

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Okay, thank you very much for your time!

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