33 lines
1.2 KiB
Python
33 lines
1.2 KiB
Python
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import cv2
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import numpy as np
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lo=np.array([95, 100, 50])
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hi=np.array([105, 255, 255])
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color_infos=(0, 255, 255)
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cap=cv2.VideoCapture(0)
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while True:
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ret, frame=cap.read()
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image=cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
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mask=cv2.inRange(image, lo, hi)
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image=cv2.blur(image, (7, 7))
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mask=cv2.erode(mask, None, iterations=4)
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mask=cv2.dilate(mask, None, iterations=4)
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image2=cv2.bitwise_and(frame, frame, mask=mask)
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elements=cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[-2]
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if len(elements) > 0:
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c=max(elements, key=cv2.contourArea)
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((x, y), rayon)=cv2.minEnclosingCircle(c)
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if rayon>30:
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cv2.circle(image2, (int(x), int(y)), int(rayon), color_infos, 2)
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cv2.circle(frame, (int(x), int(y)), 5, color_infos, 10)
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cv2.line(frame, (int(x), int(y)), (int(x)+150, int(y)), color_infos, 2)
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cv2.putText(frame, "Objet !!!", (int(x)+10, int(y) -10), cv2.FONT_HERSHEY_DUPLEX, 1, color_infos, 1, cv2.LINE_AA)
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cv2.imshow('Camera', frame)
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cv2.imshow('image2', image2)
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cv2.imshow('Mask', mask)
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if cv2.waitKey(1)&0xFF==ord('q'):
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break
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cap.release()
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cv2.destroyAllWindows()
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