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Where is lambda in Equation 5 #112
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@ErnestCheung even I was searching for the same did you find? |
I would be interested in the same. Did they maybe set it to 0, and hence it is not included? |
Hi, sorry for the late reply. The question has come up a few times already. Unfortunately, our final implementation doesn't contain any lambda at all (as we set it to 0). Instead, we have a function that invalidates the appearance-based cost according to the Kalman filter gate here. I hope this helps. |
@nwojke. Thanks for your comments, they are much appreciated. I have a couple of questions regarding the current implementation of the cost matrix: |
Hi @nwojke , I read some issues about Lambda and your clarification that you have assumed lambda as 0 and implemented the gating metric. Why would you need to do Mahalanobis thresholding when the cost matrix calculation is purely based on cosine distance? I hope my question is not too confusing! |
@pratikbhave2 this way the kalman-based Mahalanobis metric is still being used as a kind of mask to filter out wildly improbable locations. |
I implemented it in my fork of the repository (can be found here: https://github.com/michael-camilleri/deep_sort) |
@michael-camilleri Thank you for your code, but I have been trying with changing Lambda from 0 to 1 and so effect on the ID was seen , any idea why that could be ? To implement your code I only replaced the Tracker.py by your own Tracker.py file |
Hi
I'm sorry for the delay in replying but it has been a hectic month.
I would recomend using the entire repository rather than replacing the tracker.py, since the differences come also in some other methods.
M
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Subject: Re: [nwojke/deep_sort] Where is lambda in Equation 5 (#112)
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@michael-camilleri<https://github.com/michael-camilleri> Thank you for your code, but I have been trying with changing Lambda from 0 to 1 and so effect on the ID was seen , any idea why that could be ? To implement your code I only replaced the Tracker.py by your own Tracker.py file
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I'm trying to adjust the weights between the Karman filter results (location) and the features (appearance). Can anyone please kindly help?
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