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47 lines
1.1 KiB
47 lines
1.1 KiB
import cv2
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import time
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import numpy as np
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cap = cv2.VideoCapture(1)
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def threshold_slow(image):
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h = image.shape[0]
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w = image.shape[1]
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for y in range(0, h):
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for x in range(0, w):
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if np.any(image[y, x] != 0):
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return True
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return False
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while True:
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ret, frame = cap.read()
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frame_org = frame
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frame = frame[185:230, 180:225]
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hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
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sensitivity = 50
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lower_white = np.array([0,0,255-sensitivity])
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upper_white = np.array([255,sensitivity,255])
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mask = cv2.inRange(hsv, lower_white, upper_white)
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res = cv2.bitwise_and(frame,frame, mask=mask)
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res = cv2.erode(res, None, iterations=2)
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res = cv2.dilate(res, None, iterations=4)
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mask = cv2.erode(mask, None, iterations=2)
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mask = cv2.dilate(mask, None, iterations=4)
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if threshold_slow(res):
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cv2.rectangle(frame_org, (100, 100), (300, 300), (255, 0, 0), 2)
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cv2.imshow('frame', frame)
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cv2.imshow('org', frame_org)
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cv2.imshow('mask', mask)
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cv2.imshow('res', res)
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k = cv2.waitKey(5) & 0xFF
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if k == ord('q'):
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break
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cap.release()
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cv2.destroyAllWindows()
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