codeAugust 10, 2026•7 min read•RTSPLink Dev Team
MediaPipe RTSP Live Pose & Hand Tracking Pipeline in Python
Perform real-time human skeleton estimation and gesture recognition on IP camera RTSP video feeds.
#MediaPipe#Python#Pose Estimation#Gestures#Computer Vision
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#1MediaPipe Pose RTSP Integration
Ingest RTSP frames and extract landmark vectors in Python:
MediaPipe RTSP Pipeline
import cv2
import mediapipe as mp
mp_pose = mp.solutions.pose
pose = mp_pose.Pose(min_detection_confidence=0.5, min_tracking_confidence=0.5)
cap = cv2.VideoCapture("rtsp://rtsplink.com/live/test?token=demo")
while cap.isOpened():
ret, frame = cap.read()
if not ret:
break
rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
results = pose.process(rgb_frame)
if results.pose_landmarks:
mp.solutions.drawing_utils.draw_landmarks(frame, results.pose_landmarks, mp_pose.POSE_CONNECTIONS)
cv2.imshow("MediaPipe RTSP Feed", frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
breakReady to test your live RTSP video stream?
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