Comments (4)
cygerts
commented on July 21, 2024
1
@landiaokafeiyan If you want to see difference on max_age just follow this thread:
#55
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abewley
commented on July 21, 2024
You are correct that this tracker (like all tracking by detection methods) are very sensitive to the input detections.
However, to retain the identities for longers you can increase the default max_age parameter which will keep the individual tracks alive for longer to prevent fragmentation.
See the related issue #22
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BornInWater
commented on July 21, 2024
I had tried that before, does not seem to be affecting the output at all.
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landiaokafeiyan
commented on July 21, 2024
@BornInWater I changed the max_age to a big number,and It doesn't have much impact on the output,
but when I changed the min_hits, It has a difference.
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Related Issues (20)
- running SORT on custom dataset
- missing intermediate IDs HOT 2
- Using SORT when the number of elements to track is constant and known - ideas to recover missidentification and missmatches HOT 6
- C-Python implementation of SORT
- Multi-class multi-object tracking HOT 3
- error in iou__batches HOT 7
- Tracking other objects HOT 2
- Why are FP and FN different for each Tracker method in the paper?
- Preparing RLE for MOTS20 evaluation
- SORT ID for new detection between other old detections
- Logic Error? trk.hit_streak >=self.min_hits, ret.append(...)
- multiclass tracking HOT 3
- can I use this for windows ? because it still show me the same error ?
- No issue, just here for `lap` -> `lapx`
- instalation error
- How to get next state KalmanFilter
- ValueError: operands could not be broadcast together with shapes (0,) (1,3) HOT 1
- Python Version support for SORT
- Converting into Grayscale increasing the inference time ? Is there any way we can increase the model inference time ? HOT 1
- ImportError: Cannot load backend 'TkAgg' which requires the 'tk' interactive framework, as 'headless' is currently running HOT 2
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