Face Detection
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@ -36,13 +36,13 @@ for i in range(num_frames):
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gray_frame, scaleFactor=1.1, minNeighbors=5)
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gray_frame, scaleFactor=1.1, minNeighbors=5)
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# print(face)
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# print(face)
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# Dessiner un rectangle autour de chaque visage détecté and if fac is detected store information
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# Draw a rectangle on each detected face and if face is detected store information
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if len(face) > 0:
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if len(face) > 0:
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x, y, w, h = face[0]
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x, y, w, h = face[0]
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face = frame[y:y+h, x:x+w]
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face = frame[y:y+h, x:x+w]
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frame = cv2.rectangle(frame, (int(x*1.15), int(y*1)),
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frame = cv2.rectangle(frame, (int(x*1.15), int(y*1)),
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(x + int(w*0.7), y + int(h*0.2)), (0, 255, 0), 3)
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(x + int(w*0.7), y + int(h*0.2)), (0, 255, 0), 3)
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# Afficher l'image
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# Show image to check if the rectangle is well positioned on the forehead
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# cv2.imshow("Faces", frame)
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# cv2.imshow("Faces", frame)
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# cv2.waitKey(0)
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# cv2.waitKey(0)
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