about run app.py (Segment-and-track-anything) in long video(images>100),result have error about codef HOT 8 OPEN

The model automatically detects and adds new objects every sam_gap frames. To solve this issue, you can adjust the default value of sam_gap in SegTrackerArgs to its maximum value and click reset.

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when i set sam_gap > my video img num，and Reset button update,it's OK,but output masks
Several more masks (*new.png)，need remove *new.png

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How about setting minimum = 1 here ?

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How about setting minimum = 1 here ?

The same result, can be tracked correctly, but the masks are still a few more masks (*new.png)，need remove *new.png

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The model automatically detects and adds new objects every sam_gap frames. To solve this issue, you can adjust the default value of sam_gap in SegTrackerArgs to its maximum value and click reset.

I test set sam_gap = 9999， The same result, can be tracked correctly, but the masks are still a few more masks (*new.png)，

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How about setting minimum = 1 here ?

The results of my training are not very good, is it because I exercise too fast?,
my video fps=30， base.yaml fps=15, need set 5 or 1 it is OK?

Setting those hyperparameters can improve the reconstruction effect of the model

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@zhanghongyong123456 Yes. The motion cannot be so fast as (x,y,t) is viewed as a 3D volume.

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May I ask if you will publish a document about training hyperparameter settings. I found that many people are asking about long videos and fast exercise training skills. I saw your reply, but we don’t know how to set them up.

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