with mp_posePosemin_detection_confidence=05 min_tracking_confidence=05 as pose while capisOpened ret frame = capread # Recolor image to RGB image = cv2cvtColorframe cv2

This code uses the Mediapipe library to detect and track human poses in a video stream. It calculates the angles between specific body parts (hips, eyes, and heels) and uses these angles to determine the person's posture and movement. Based on the angles, the code categorizes the person into different stages such as safe, hanging on, fallen, trying to walk, or barely walking. The code also displays the angles and stage information in a status box and renders the detected poses on the video stream. The code can be used for posture and movement analysis in various applications such as fitness and healthcare