Comments (3)
guiyuliu
commented on July 21, 2024
hello,
I want to use deep_sort in my own videos , but I don't have "det" file. How can generate "det" file like MOT 16?
you provided faster RCNN, I think faster rcnn are provided not only for pedestrian detection but also other objects, so how can I generate pedestrian detection file on my own ?
looking forward to your answer
thank you
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abewley
commented on July 21, 2024
To use SORT on your own dataset you will need to feed it detections for each frame. The detection component is beyond the scope of this repository. I can point you to the Faster RCNN repo which I used to create the "det" files for MOT sequences by modifying the demo code from: py-faster-rcnn.
If you want one of the other VOC classes you can easily modify that demo to suit to output the box parameters to a file.
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abewley
commented on July 21, 2024
Now closing this issue due to inactivity.
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Related Issues (20)
- 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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