42 lines
1.1 KiB
Python
42 lines
1.1 KiB
Python
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from skimage import feature
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import matplotlib.pyplot as plt
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import numpy as np
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import cv2
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method_lbp=['default',
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'ror',
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'uniform',
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'var']
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cap=cv2.VideoCapture(0)
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numPoints=24
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radius=3
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id_method_lbp=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_BGR2GRAY)
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lbp=feature.local_binary_pattern(image, numPoints, radius, method=method_lbp[id_method_lbp])
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cv2.rectangle(frame, (0, 0), (frame.shape[1], 30), (100, 100, 100), cv2.FILLED)
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txt="[q] Quit [o|l]numPoints:{:d} [i|k]rayon:{:d} [m] Methode: {}".format(numPoints, radius, method_lbp[id_method_lbp])
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cv2.putText(frame, txt, (20, 20), cv2.FONT_HERSHEY_PLAIN, 1, (255, 255, 255), 1)
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cv2.imshow("Image", frame)
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cv2.imshow("LBP", lbp/np.max(lbp))
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key=cv2.waitKey(1)&0xFF
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if key==ord('m'):
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id_method_lbp=(id_method_lbp+1)%len(method_lbp)
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if key==ord('i'):
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radius=radius+1
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if key==ord('k'):
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radius=max(3, radius-1)
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if key==ord('o'):
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numPoints=numPoints+1
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if key==ord('l'):
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numPoints=max(3, numPoints-1)
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if key==ord('q'):
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quit()
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