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FaceDetectionProject.py
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56 lines (42 loc) · 2.27 KB
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import cv2
import mediapipe as mp
import time
mp_drawing = mp.solutions.drawing_utils
mp_holistic = mp.solutions.holistic
cap = cv2.VideoCapture(0)
with mp_holistic.Holistic(min_detection_confidence=0.5, min_tracking_confidence=0.5) as holistic:
while cap.isOpened():
ret, frame = cap.read()
#Recolor
image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
#detect
results = holistic.process(image)
# print(results.face_landmarks)
# face_landmarks, pose_landmarks, left_hand_landmarks, right_hand_landmarks
#recolr
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
#face lm
mp_drawing.draw_landmarks(image, results.face_landmarks, mp_holistic.FACE_CONNECTIONS,
mp_drawing.DrawingSpec(color=(80, 110, 10), thickness=1, circle_radius=1),
mp_drawing.DrawingSpec(color=(80, 256, 121), thickness=1, circle_radius=1)
)
#rhand lm
mp_drawing.draw_landmarks(image, results.right_hand_landmarks, mp_holistic.HAND_CONNECTIONS,
mp_drawing.DrawingSpec(color=(80, 22, 10), thickness=2, circle_radius=4),
mp_drawing.DrawingSpec(color=(80, 44, 121), thickness=2, circle_radius=2)
)
#lhand lm
mp_drawing.draw_landmarks(image, results.left_hand_landmarks, mp_holistic.HAND_CONNECTIONS,
mp_drawing.DrawingSpec(color=(121, 22, 76), thickness=2, circle_radius=4),
mp_drawing.DrawingSpec(color=(121, 44, 250), thickness=2, circle_radius=2)
)
#pdetections lm
mp_drawing.draw_landmarks(image, results.pose_landmarks, mp_holistic.POSE_CONNECTIONS,
mp_drawing.DrawingSpec(color=(245, 117, 66), thickness=2, circle_radius=4),
mp_drawing.DrawingSpec(color=(245, 66, 230), thickness=2, circle_radius=2)
)
cv2.imshow('Raw Webcam Feed', image)
if cv2.waitKey(10) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()