2023-09-29 21:51:53 +03:00
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from ultralytics import YOLO
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2024-02-24 19:30:01 +03:00
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model = YOLO('yolov8s.pt')
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2023-09-29 21:51:53 +03:00
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model.save_dir = './predict/'
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result = model.predict(
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'./Assets/cat_dog.jpg',
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save=True,
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project='test',
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name='ololo',
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2024-02-24 19:30:01 +03:00
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device=0,
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2023-09-29 21:51:53 +03:00
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show=False,
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2024-02-24 19:30:01 +03:00
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classes=[16, 15],
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2023-09-29 21:51:53 +03:00
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)[0]
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2024-02-24 19:30:01 +03:00
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# result = model(
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# './Assets/cat_dog.jpg',
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# save=True,
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# project='test',
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# name='ololo',
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# device='gpu',
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# show=False,
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# )[0]
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print(model.names)
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2023-09-29 21:51:53 +03:00
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# print(len(result.boxes))
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# for _ in result.boxes:
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# box = result.boxes[_]
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# print("Object type:", box.cls)
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# print("Coordinates:", box.xyxy)
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# print("Probability:", box.conf)
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