Comments (2)
@ifzhang Is the best result in this paper through Tracklet interpolation?
from bytetrack.
Tracklet interpolation improves about 1 point MOTA on the MOT17 test set. If you want to process videos online then you cannot use the interpolation method. You can just use it as a refinement for the trajectories.
from bytetrack.
Related Issues (20)
- How to use interpolation on MOT17 validation sets
- MOT17-13-FRCNN 0.0% NaN 44 0.0% 0.0% 100.0% 0.0% 100.0% 0.0% 0.0% 0.0% NaN 3156 HOT 9
- Using my own YOLOX model trained with official YOLOX repo, but demo_track.py outputs nothing HOT 4
- Tracking Outputs vs Detection Outputs HOT 1
- Id switches when object is not detected for a frame then returns
- 状态为TrackState.Lost的Tracker不参与第二次低置信度bbox的匹配? HOT 1
- validation set selection
- Publicly disclose the size and high-resolution detection threshold of the test images for each sequence of MOT17 and MOT20🚀
- CityPerson dataset unavailable
- GPU issues in training HOT 2
- runing ByteTrack ncnn cpp throws error
- Query: What are model files provided in ReadMe.md are these retrained yolo models?
- トラッキングにおけるエラー No ground truth HOT 3
- Problem with the tracker escaping
- error: subprocess-exited-with-error HOT 6
- For real time tracking
- I am trying to setup ByteTrack and I am facing the following issue
- Using ByteTrack on a mac or linux
- about same problem
- テスト結果を得るには
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