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Hi,
We are a forth year student at faculty of Engineering and our graduation project is to track people in a certain scene and count them. We want to use SORT to track people but with our data set. what are we need to change in the code. and I want to know what the benefit of using the output folder in code.
The text was updated successfully, but these errors were encountered:
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
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.
Hi,
We are a forth year student at faculty of Engineering and our graduation project is to track people in a certain scene and count them. We want to use SORT to track people but with our data set. what are we need to change in the code. and I want to know what the benefit of using the output folder in code.
The text was updated successfully, but these errors were encountered: