Comments (3)
Maybe release with s and m models at same time.
In our plan, s and m models will be released after paper accepted and published.
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Thank you so much, nano version is very essential for real time systems.
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Maybe release with s and m models at same time. In our plan, s and m models will be released after paper accepted and published.
exciting! any place i can track the paper and whether or not it has been accepted/published?
from yolov9.
Related Issues (20)
- Corresponding converted code of the yolov9u-pose model (reparameterization.ipynb) HOT 1
- How can I train with models/hub/yolov3.yaml
- real-time RTSP streams HOT 1
- Facing "CUDA out of memory" when running the "detect_dual.py" HOT 3
- IndexError: index 1 is out of bounds for dimension 0 with size 1 while using detect.py in yolov9 HOT 1
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- training won't start
- Combine Segmentation and Detection Model (YOLOV7 & YOLOV9) HOT 1
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- Some questions about YOLOv9.yaml, YOLOv9-c.yaml and YOLOv9-e.yaml HOT 1
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- save-period or save_period ? HOT 1
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