Comments (4)
Thank you!
I am not familiar with TensorRT but from what I understand you should be able to serialize the Deep Sort weights in the same way you did with the Yolov5 weights, of course taking into consideration the architecture differences. The network for deep sort is just comprised of convolutional layers followed by residual blocks and a dense layer so it should be easier to serialize than Yolov5.
Then you could deserialize them in a c++ ported version of track.py for real-time tracking
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@mikel-brostrom Thanks. I have trained yolov5 for my custom object detection, Similarly do i need to train 'tracking model' deepsort for tracking my custom object?
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Yes, you need to train the deep association metric. Ideally on a large-scale re-identification dataset containing the classes you want to track
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我试了yolov5_deepsort的tensorrt版本,大概15ms一帧
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Related Issues (20)
- DeepOCSORT example fails with 'AttributeError: 'str' object has no attribute 'type'' HOT 9
- Dockerfile reference incorrect git branch HOT 2
- OCSort non-default max_age error HOT 7
- 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 6
- 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 4
- Question on Color Conversion in DeepOCSort During Tracking HOT 1
- How to train custom Reid dataset from scratch on yolo_tracking? HOT 2
- Inquiry regarding liscence HOT 1
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