Comments (4)
In case you use RT_DETR from ultralytics
package, the input and output interfaces are just the same as in yolov8
model. So you can use it just by switching model name.
from yolo_tracking.
thank @AlexanderNevarko and @mikel-brostrom very much, I will have a try in later, best wishes to you .
from yolo_tracking.
Sorry, but there is no RT-DETR pip package and I am not using submodules in this repo 😄
from yolo_tracking.
Yup, there you have Ultralytics' version of it. So that one may be enough for you @darrenlei123 😄
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Related Issues (20)
- train a REID MODEL HOT 2
- How to combine ocsort and other algorithms you provide with yolov8? HOT 2
- StrongSORT plotting results HOT 4
- TensorRT HOT 9
- Applicability of Boxmot in my case HOT 6
- `KalmanBoxTracker.observations` grows infinitely, causing out of memory HOT 2
- Unable to pass `embs` to tarcker HOT 3
- it can't run when i start tracking
- How can i use ZED camera for this approach? HOT 3
- (OCSORT, DeepOCSORT) shape specs not match doc function HOT 4
- Why reid is not working at all in my case? HOT 5
- Disable ReID module HOT 3
- Using different Reid models to evaluate DeepOcsort, but getting the same evaluation results HOT 4
- PyTorch version automatic update HOT 2
- Evaluation using bytetrack HOT 2
- Why does the frame id of the txt file generated by the evaluation start at 2 HOT 17
- calculate FPS HOT 2
- How to divide the MOT17 or MOT20 dataset? HOT 1
- more reid HOT 3
- (yolov8track) PS F:\yolov8_tracking> python tracking/evolve.py --benchmark MOT17-mini --dets runs/dets_n_embs/yolov8n/dets/MVI_20011.txt --embs runs/dets_n_embs/yolov8n/embs/resnet50_market1501 --n-trials 9 --tracking-method botsort --source ./asse ts/MOT17-mini/train C:\Users\79223\AppData\Local\anaconda3\envs\yolov8track\lib\site-packages\_distutils_hack\__init__.py:33: UserWarning: Setuptools is replacing distutils. warnings.warn("Setuptools is replacing distutils.") Traceback (most recent call last): File "F:\yolov8_tracking\tracking\evolve.py", line 138, in <module> opt.yolo_model = [Path(y).resolve() for y in opt.yolo_model] TypeError: 'WindowsPath' object is not iterabl
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