Comments (1)
nothingws
commented on May 28, 2024
I would hereby like to request a feature that is currently not available. Right now I'm dealing with the issue that when a tracked object is created the class id created with the provided class_id of the detection, but never updated. This causes the following issue: when my yolo model detects for example a car as a person in the first frame and in the second frame decides that it is a actually a car, the class_id of the tracker will be stuck on person. It would be nice if the class_id would be updated accordingly to the class_id provided by the detection.
Has it been resolved?
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Related Issues (20)
- I've encountered while using the YOLOX trained model for object tracking. HOT 1
- AttributeError: module 'numpy' has no attribute 'float' HOT 6
- tool/train.py 训练的是yolox模型是吗？bytetrack是不是不需要训练？ HOT 1
- Minor possibility of boundary value problem
- I need to fine tune the pre trained (byte track default) model
- Evaluation of the modified algorithm
- Support for DeepStream 6.4 HOT 1
- np.float errors in the trackers HOT 6
- yolox person detection result can not reproduce HOT 1
- 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
- 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？
- 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
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