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When I run it, the following error occurs. Could you please help me take a look?
![image](https://github.com/spacewalk01/yolov9-bytetrack-tensorrt/assets/22534064/9e32db66-06d0-4922-92de-0e9b08fbe6…
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Thanks for working on this awesome project.
when i run the following cmd:
`python val.py --data data/coco.yaml --img 640 --batch 32 --conf 0.001 --iou 0.7 --device cpu --weights ./yolov9-c-con…
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![image](https://github.com/WongKinYiu/yolov9/assets/95534357/b0e46c25-4b2d-4f64-b93d-d5461754ed38)
I want to train my custom models using the train.py script and it shows error as shown in the ima…
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Hey @WongKinYiu, big thanks for your outstanding work!
I've seamlessly integrated yolov9 into [X-AnyLabeling](https://github.com/CVHub520/X-AnyLabeling), marking a substantial leap in our capabilit…
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in the [yolov9 official paper](https://arxiv.org/pdf/2402.13616.pdf), I see some new words about yolov7
![captrue](https://github.com/WongKinYiu/yolov9/assets/26386193/c586179b-b18d-4ce4-a805-513be26…
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![image](https://github.com/WongKinYiu/yolov9/assets/85429342/0adf8b79-63ee-40e9-a28f-8edac2f54cf0)
why my detection has this exception?
my code below :
detect.py --weights=yolov9-c.pt --source=rts…
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yolov9-c The table shows 25.3M, but myself tested results is 51.3M use thop packages
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I wanted to use the original yaml file for training, but I didn't find yolov9-n.YAML in the project.
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Does the export to ONNX work with the `NMS` module? And dynamic `batch size`. If so, how do I do it?
As I understand it, the NMS module only works for TF models?