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67 lines
2.0 KiB
67 lines
2.0 KiB
import cv2
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import numpy as np
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if __name__ == '__main__':
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def nothing(*arg):
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pass
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h1_old = 0
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s1_old = 0
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v1_old = 0
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h2_old = 0
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s2_old = 0
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v2_old = 0
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cv2.namedWindow( "result" ) # создаем главное окно
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cv2.namedWindow( "settings" ) # создаем окно настроек
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cam = cv2.VideoCapture(0)
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# создаем 6 бегунков для настройки начального и конечного цвета фильтра
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cv2.createTrackbar('h1', 'settings', 0, 255, nothing)
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cv2.createTrackbar('s1', 'settings', 0, 255, nothing)
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cv2.createTrackbar('v1', 'settings', 0, 255, nothing)
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cv2.createTrackbar('h2', 'settings', 255, 255, nothing)
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cv2.createTrackbar('s2', 'settings', 255, 255, nothing)
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cv2.createTrackbar('v2', 'settings', 255, 255, nothing)
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crange = [0,0,0, 0,0,0]
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while True:
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flag, img = cam.read()
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# Перевод изображения в HSV
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hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
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# считываем значения бегунков
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h1 = cv2.getTrackbarPos('h1', 'settings')
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s1 = cv2.getTrackbarPos('s1', 'settings')
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v1 = cv2.getTrackbarPos('v1', 'settings')
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h2 = cv2.getTrackbarPos('h2', 'settings')
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s2 = cv2.getTrackbarPos('s2', 'settings')
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v2 = cv2.getTrackbarPos('v2', 'settings')
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# формируем начальный и конечный цвет фильтра
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h_min = np.array((h1, s1, v1), np.uint8)
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h_max = np.array((h2, s2, v2), np.uint8)
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# накладываем фильтр на кадр в модели HSV
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thresh = cv2.inRange(hsv, h_min, h_max)
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cv2.imshow('result', thresh)
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ch = cv2.waitKey(5)
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if h1 != h1_old or s1 != s1_old or v1 != v1_old \
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or h2 != h2_old or s2 != s2_old or v2 != v2_old :
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print ("resault: (%d,%d,%d),(%d,%d,%d)"%(h1,s1,v1,h2,s2,v2))
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h1_old = h1
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s1_old = s1
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v1_old = v1
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h2_old = h2
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s2_old = s2
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v2_old = v2
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if ch == 27:
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break
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cam.release()
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cv2.destroyAllWindows()
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