36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
import cv2
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import mediapipe as mp
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mp_drawing = mp.solutions.drawing_utils
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mp_drawing_styles = mp.solutions.drawing_styles
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mp_pose = mp.solutions.pose
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cap = cv2.VideoCapture(0)
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with mp_pose.Pose(
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min_detection_confidence=0.5,
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min_tracking_confidence=0.5) as pose:
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while cap.isOpened():
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success, image = cap.read()
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if not success:
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print("Ignoring empty camera frame.")
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continue
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# To improve performance, optionally mark the image as not writeable to
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# pass by reference.
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image.flags.writeable = False
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image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
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results = pose.process(image)
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# Draw the pose annotation on the image.
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image.flags.writeable = True
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image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
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mp_drawing.draw_landmarks(
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image,
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results.pose_landmarks,
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mp_pose.POSE_CONNECTIONS,
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landmark_drawing_spec=mp_drawing_styles.get_default_pose_landmarks_style())
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# Flip the image horizontally for a selfie-view display.
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cv2.imshow('MediaPipe Pose', cv2.flip(image, 1))
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if cv2.waitKey(5) & 0xFF == 27:
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break
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cap.release() |