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@ -45,7 +45,7 @@ cd /yolov7
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## Testing
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## Testing
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[`yolov7.pt`]()
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[`yolov7.pt`](https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7.pt)
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```
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```
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python test.py --data data/coco.yaml --img 640 --batch 32 --conf 0.001 --iou 0.65 --device 0 --weights yolov7.pt --name yolov7_640_val
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python test.py --data data/coco.yaml --img 640 --batch 32 --conf 0.001 --iou 0.65 --device 0 --weights yolov7.pt --name yolov7_640_val
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@ -68,6 +68,10 @@ You will get the results:
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.83868
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.83868
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```
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```
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## Training
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The training code and instrument will release soon.
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## Citation
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## Citation
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```
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```
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