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46 lines
1.0 KiB
46 lines
1.0 KiB
#coding:utf-8
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import cv2
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from ultralytics import YOLO
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# 所需加载的模型目录
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path = 'models/best.pt'
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# Load the YOLOv8 model
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model = YOLO(path)
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ID = 0
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while(ID<10):
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cap = cv2.VideoCapture(ID)
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# get a frame
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ret, frame = cap.read()
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if ret == False:
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ID += 1
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else:
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print('摄像头ID:',ID)
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break
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# Loop through the video frames
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while cap.isOpened():
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# Read a frame from the video
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success, frame = cap.read()
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if success:
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# Run YOLOv8 inference on the frame
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results = model(frame)
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# Visualize the results on the frame
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annotated_frame = results[0].plot()
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# Display the annotated frame
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cv2.imshow("YOLOv8 Inference", annotated_frame)
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# Break the loop if 'q' is pressed
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if cv2.waitKey(1) & 0xFF == ord("q"):
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break
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else:
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# Break the loop if the end of the video is reached
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break
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# Release the video capture object and close the display window
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cap.release()
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cv2.destroyAllWindows() |