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After executing an inference whit:
python detect.py --weights 'runs/train/yolov5m_csl_dotav1.5/weights/best.pt'
--source 'dataset/dataset_demo/images/'
--img 2048 --device 0 --conf-thres 0.25 --i…
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执行步骤:
python3 val.py --data 'data/yolov5obb_demo_split.yaml' --weights './yolov5m_finetune/weights/best.pt' --batch-size 2 --img 1024 --task 'val' --device 0 --save-json --name 'obb_demo_split'
报错:
…
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![1677747264071](https://user-images.githubusercontent.com/113568691/222379537-1c31173b-7b41-4f79-8af8-8c3c80dc56a7.png)
损失如图,train指令是python train.py --weights 'weights/yolov5m.pt' --data 'data/yol…
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大佬大佬,请喝阔乐[]~( ̄▽ ̄)~*。
我碰到一个棘手的麻烦,当我生成一个纯净的 trace model 的时候,报错了,然而报错并没有说道点上。我该怎么改呀。
```
# type(model):
pred = model(img, augment=opt.augment)[0]
trace_model = torch.jit.tra…
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> python3 yolov5/detect_track.py --weights yolov5m.pt --img 640 --source video.mp4 --save-txt --class 0 --line-thickness 1
Error :
detect_track: weights=['yolov5m.pt'], source=video.mp4, data…
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**Describe the bug**
When I was running yolov5 onnx modle on jetson xavier nx with onnxruntime 1.10 version, I encountererd this error.
````
what(): /home/robin/DataDisk/buildFromSource/onnxruntim…
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![image](https://user-images.githubusercontent.com/90308493/182054458-496461c4-2748-41a7-a95a-f37244f4809e.png)
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hello,
I do have tried many pairs of hyp -paras but still with more than 6 points map(0.5) gap here. Do u have any suggestions, since i have viewed all existing issues.
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I am trying to use FairMOT on a custom-trained yolov3. I understand this whole process is dependent on dcnv2 for detection, I want to replace it with my custom yolov3 please let me know how can I go a…