Comments (3)
Hi!
It seems to me like CUDA ([https://developer.nvidia.com/cuda-toolkit]) is not available in your environment at all. The select_device method checks whether the device argument is "cpu" or not. If not, it fetch all the CUDA available devices and use the first one as your CUDA device.
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Most certainly that is that is problem. Torch 1.5.1 (the version that is installed with requirements.txt) is by default CUDA 10.2 compatible. You will need to downgrade both torch and torchvision so that they work with your CUDA version or upgrade CUDA
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Related Issues (20)
- People tracking in videos that switch back and forth between multiple camera positions HOT 2
- DeepOCSORT example fails with 'AttributeError: 'str' object has no attribute 'type'' HOT 9
- Dockerfile reference incorrect git branch HOT 2
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- How to track with a modified yoloV8 detection model? HOT 11
- How to evaluate the VisDrone dataset using YOLOv5 and ByteTrack HOT 3
- How to use YOLOX as the detector for evaluation? HOT 5
- IndexError for HybridSort tracker HOT 6
- Supported GPU version is not HOT 3
- How to reset the tracking id for ByteTracker HOT 1
- Possibility of reducing the acquisition of embeddings of objects. HOT 7
- 运行val.py HOT 1
- Illegal instruction (core dumped) for BoTSORT HOT 4
- ModuleNotFoundError: No module named 'ultralytics.nn.modules.conv'; 'ultralytics.nn.modules' is not a package.
- frame count bug still exists HOT 1
- AttributeError: 'Segment' object has no attribute 'detect' HOT 2
- Question about the initialization of the process uncertainty matrix (`Q`) in `ocsort.py` HOT 2
- Tracking id for ByteTracker not being able to reset HOT 5
- Question on Color Conversion in DeepOCSort During Tracking HOT 1
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