mirror of
https://github.com/ft-NotArt/ShyEye.git
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62 lines
1.6 KiB
Python
62 lines
1.6 KiB
Python
import cv2
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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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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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target = [0, 0, 0, 0]
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if len(detected_faces) != 0 :
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for face in detected_faces :
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if face[3] > target[3] :
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target = face
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print(f"{target[3]}")
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# print(f"midH={frameH} midW={frameW} {len(detected_faces)} {len(detected_profiles)} ")
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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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if len(detected_faces) != 0 :
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targetX = int (target[0] + (target[2] / 2))
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targetY = int (target[1] + (target[3] / 2))
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else :
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targetX = int (frameW / 2)
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targetY = int (frameH / 2)
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cv2.rectangle(frame, (targetX, targetY), (targetX + 2, targetY + 2), (0, 0, 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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