mirror of
https://github.com/ft-NotArt/ShyEye.git
synced 2025-10-31 05:06:01 +00:00
86 lines
2.4 KiB
Python
86 lines
2.4 KiB
Python
import cv2
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import serial
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SERVO_SPD = 2
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def draw_square(frame, faces, color):
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for (x, y, w, h) in faces:
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face_region = frame[y:y+h, x:x+w]
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cv2.rectangle(frame, (x, y), (x + w, y + h), color, 1)
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return frame
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video_capture = cv2.VideoCapture(0)
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face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
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side_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_profileface.xml")
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detected_faces = []
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detected_profiles = []
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ret, frame = video_capture.read()
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if ret:
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frameH, frameW = frame.shape[:2]
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eyeX = int (frameW / 2)
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eyeY = int (frameH / 2)
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while True:
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ret, frame = video_capture.read()
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if not ret:
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break
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gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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faces = face_cascade.detectMultiScale(gray_frame, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))
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detected_faces = faces
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faces = side_cascade.detectMultiScale(gray_frame, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))
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detected_profiles = faces
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frame = draw_square(frame, detected_faces, (0, 255, 0))
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frame = draw_square(frame, detected_profiles, (255, 0, 0))
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target = [int ((frameW / 2) - 10), int ((frameH / 2) - 10), 20, 20]
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if len(detected_profiles) != 0 and len(detected_faces) == 0 :
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# get target as the biggest face detected
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for face in detected_profiles :
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if face[3] > target[3] : # deep copy as I want to modify target w/out modifying detected_profiles
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target[0] = face[0]
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target[1] = face[1]
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target[2] = face[2]
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target[3] = face[3]
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# define target as the center of selected face
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target[0] = int (target[0] + (target[2] / 2) - 10)
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target[1] = int (target[1] + (target[3] / 2) - 10)
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target[2] = 20
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target[3] = 20
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# adjust the 'eye' position as the camera turn around
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if eyeX < target[0] or eyeX > (target[0] + target[2]) :
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if eyeX < target[0] :
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eyeX += SERVO_SPD
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else :
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eyeX -= SERVO_SPD
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if eyeY < target[1] or eyeY > (target[1] + target[3]) :
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if eyeY < target[1] :
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eyeY += SERVO_SPD
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else :
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eyeY -= SERVO_SPD
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# draw target rectangle in red
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cv2.rectangle(frame, (target[0], target[1]), (target[0] + target[2], target[1] + target[3]), (0, 0, 255), 1)
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# draw crosshair in white
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cv2.rectangle(frame, (eyeX - 5, eyeY), (eyeX + 5, eyeY), (255, 255, 255), 1)
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cv2.rectangle(frame, (eyeX, eyeY - 5), (eyeX, eyeY + 5), (255, 255, 255), 1)
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cv2.imshow("Faces", frame)
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if cv2.waitKey(1) != -1:
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break
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video_capture.release()
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cv2.destroyAllWindows()
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