62 lines
1.8 KiB
Python
62 lines
1.8 KiB
Python
import cv2
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import numpy as np
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# Capture device number
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cap = cv2.VideoCapture(1)
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# Set capture resolution
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cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1280)
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cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 720)
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max_count = 1
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# Text
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font = cv2.FONT_HERSHEY_SIMPLEX
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org = (50, 50)
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org2 = (50, 90)
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fontScale = 1
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color = (255, 0, 0)
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thickness = 2
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# Subwindow size
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scale = 6
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# Main loop
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while True:
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#Grab frame
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ret, src = cap.read()
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# Get sub window size
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center = (int(src.shape[0]/2),int(src.shape[1]/2))
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upper_left = (int(center[1] - src.shape[1]/scale),int(center[0] - src.shape[0]/scale))
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lower_right = (int(center[1] + src.shape[1]/scale),int(center[0] + src.shape[0]/scale))
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# Color conversion
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gray = cv2.cvtColor(src[upper_left[1]:lower_right[1],upper_left[0]:lower_right[0]], cv2.COLOR_BGR2GRAY)
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# Edge detection
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sobel = cv2.Sobel(gray, cv2.CV_8U, 1, 0, ksize=3)
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# Thresholding operation
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t, thresh = cv2.threshold(sobel, 200, 255, cv2.THRESH_BINARY)
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count = np.sum(sobel)
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if count > max_count:
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max_count = count
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# Text rendering
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src = cv2.putText(src, 'Max: {}'.format(int(max_count/10000)), org, font, fontScale,
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color, thickness, cv2.LINE_AA)
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src = cv2.putText(src, 'Current: {:.2f}%'.format((count/max_count)*100 - 0.01), org2, font, fontScale,
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color, thickness, cv2.LINE_AA)
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# Subwindow Outline
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src = cv2.rectangle(src, pt1=upper_left, pt2=lower_right, color=(36,255,12), thickness=1)
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#Display of results
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cv2.imshow('tresh', thresh)
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cv2.imshow('src', src)
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cv2.imshow('sobel', sobel)
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# Frame waiting and logic loop
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k = cv2.waitKey(10)
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if k == 27: #Escape key to escape
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break
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elif k == 32: # Spacebar to reset count
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max_count = 1
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