Yolo v8 영상인식 기본 사용 Ex

Yolo v8 영상인식 기본 사용

 

준비

 

pip install opencv-python
pip install ultralytics

 

사용

import cv2
from ultralytics import YOLO

model = YOLO('yolov8n.pt')


vc1 = None
if(not True):
    # 동영상 파일 사용시
    vc1 = cv2.VideoCapture("path/to/your/video/file.mp4")
else:
    # webcam 사용시
    vc1 = cv2.VideoCapture(0)

while vc1.isOpened(): # Loop through the video frames
    success, frame = vc1.read() # Read a frame from the video

    if success:
        results = model(frame) # Run YOLOv8 inference on the frame

        annotated_frame = results[0].plot() # Visualize the results on the frame

        cv2.imshow("YOLOv8 Inference", annotated_frame) # Display the annotated frame

        # Break the loop if 'q' is pressed
        if cv2.waitKey(1) & 0xFF == ord("q"):
            break
    else:
        # Break the loop if the end of the video is reached
        break

# Release the video capture object and close the display window
vc1.release()
cv2.destroyAllWindows()

 

 

 

기타

 

https://docs.ultralytics.com/

https://github.com/ultralytics/ultralytics