Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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What does the Tracker implemented in PaddleDet do about missing det? #7967
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HelloI
'm going to take out only the paddle tracker separately and implement it in the my detection project that I used before.
But I'm curious how the tracker implemented in the paddle controls the missing Det by Detection.
For example, if use depthport, of course, I know that Tracker itself doesn't have basic logic to save the missing det.
I know that it only generates track-id for captured Det.
However, if I look at the tracker implemented in nvidia deepstream, it seems that the concept of interval is used to predict the Det box in some way even if skip det.
I don't know the exact method in Nvidia, but I don't know if deepstream-tracker is looking for a similar feature by turning the kernel around the existing box, but I wonder if there's such a feature in the paddle tracker.
问题确认 Search before asking
请提出你的问题 Please ask your question
HelloI 'm going to take out only the paddle tracker separately and implement it in the my detection project that I used before. But I'm curious how the tracker implemented in the paddle controls the missing Det by Detection.
For example, if use depthport, of course, I know that Tracker itself doesn't have basic logic to save the missing det. I know that it only generates track-id for captured Det.
However, if I look at the tracker implemented in nvidia deepstream, it seems that the concept of
interval
is used to predict the Det box in some way even if skip det. I don't know the exact method in Nvidia, but I don't know if deepstream-tracker is looking for a similar feature by turning the kernel around the existing box, but I wonder if there's such a feature in the paddle tracker.Thank you so much