32 lines
1.0 KiB
Python
32 lines
1.0 KiB
Python
import cv2
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import numpy as np
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import matplotlib as plt
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from matplotlib import pyplot as plt
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cap = cv2.VideoCapture(1)
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while True:
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F_num,O_frame =cap.read()
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frame = O_frame.copy()
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mask_corner1 = np.array([300,130])
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mask_corner2 = np.array([330,160])
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frame = cv2.rectangle(frame,tuple(mask_corner1),tuple(mask_corner2), (255,0,0),2)
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mask = np.zeros(frame.shape[:2],np.uint8)
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mask[130:160,300:330]=255
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# mask[int(mask_corner1[1]):int(mask_corner2[1]), int(mask_corner1[0]):int(mask_corner1[0])]=255
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masked_img = cv2.bitwise_and(O_frame,frame,mask=mask)
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cv2.imshow("mask",masked_img)
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color = ('b', 'g', 'r')
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for i, col in enumerate(color):
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# histr = cv2.calcHist([frame], [i], None, [256], [0, 256])
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hist_mask = cv2.calcHist([frame], [i], mask, [256], [0, 256])
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plt.plot(hist_mask, color=col)
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plt.xlim([0, 256])
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plt.draw()
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plt.pause(0.0001)
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plt.clf()
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cv2.imshow("Frame",frame)
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key = cv2.waitKey(1)
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if key== 27:
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break |