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11 lines
393 B
Python
11 lines
393 B
Python
from ultralytics import YOLOv10
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import numpy as np
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# model = YOLOv10.from_pretrained('jameslahm/yolov10{n/s/m/b/l/x}')
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# or
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# wget https://github.com/THU-MIG/yolov10/releases/download/v1.1/yolov10{n/s/m/b/l/x}.pt
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model = YOLOv10('ckpts/20250514/best_gift_v10n.pt')
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result = model.predict('./data/bandage.jpg', save=False, imgsz=[224, 224], conf=0.1)
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print(result)
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print(result[0].boxes.conf)
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