예제 #1
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        known_faces.append(enc)
        known_names.append(name)

for files in os.listdir("Unknown"):
    image = face_recognition.load_image_file(f"Unknown/{files}")
    locations = face_recognition.face_locations(image, model=MODEL)
    encodings = face_recognition.face_encodings(image, locations)
    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
    for location, encoding in zip(locations, encodings):
        res = face_recognition.compare_faces(known_faces,
                                             encoding,
                                             tolerance=TOLERANCE)
        match = None
        if True in res:
            match = known_names[res.index(True)]
            print(f"Match: {match}")
            top_left = (location[3], location[0])
            bot_right = (location[1], location[2])
            color = [0, 255, 0]
            cv2.rectangle(image, top_left, bot_right, color, FRAME_THICKNESS)
            top_left = (location[3], location[2])
            bot_right = (location[1], location[2] + 20)
            cv2.rectangle(image, top_left, bot_right, color, cv2.FILLED)
            cv2.putText(image, match, (location[3] + 10, location[2] + 7),
                        cv2.FONT_HERSHEY_SIMPLEX, 0.5, (200, 200, 200),
                        FONT_THICKNESS)

    cv2.imshow(files, image)
    cv2.waitkey(0)
    cv2.destroywindow(files)
예제 #2
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 def destroyWindow(self):
     cv2.destroywindow(self._windowName)
     self._isWindowCreated=False
예제 #3
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#Need to work on it code for usb webcamera raspberry pi
import cv2
cam = cv2.VideoCapture(0)
img = cam.read()

cv2.namedwindow("camera", cv2.CV_WINDOW_AUTOSIZE)
cv2.imshow("camera", img)
cv2.waitKey(0)
cv2.destroywindow("camera")
예제 #4
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import sys
import cv2

ll = '/Users/okhiroyuki/Documents/python/image/Aerial.bmp'
img = cv2.imread(ll)
cv2.namedWindow("Example1",cv2.WINDOW_AUTOSIZE)
cv2.imshow("Example1",img)
cv2.waitKey(0)
cv2.destroywindow("Example1")
예제 #5
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 def destroywindow(self):
     cv2.destroywindow(self.winodwname)
     slef.iswindowcreated = False