Hand Detection with Cv2 and Mediapipe Python.

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Code

import cv2
import mediapipe as mp

Initialize MediaPipe Hands model
mp_hands = mp.solutions.hands
hands = mp_hands.Hands(min_detection_confidence=0.7, min_tracking_confidence=0.5)
mp_drawing = mp.solutions.drawing_utils

Start webcam feed
cap = cv2.VideoCapture(0)

while cap.isOpened():
ret, frame = cap.read()
if not ret:
break

Flip the frame horizontally for a later selfie-view display
frame = cv2.flip(frame, 1)

Convert the BGR image to RGB
rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

Process the frame and detect hands
results = hands.process(rgb_frame)

If hands are detected
if results.multi_hand_landmarks:
for landmarks in results.multi_hand_landmarks:
Draw hand landmarks
mp_drawing.draw_landmarks(frame, landmarks, mp_hands.HAND_CONNECTIONS)

Display the frame with hand detection
cv2.imshow("Hand Detection", frame)

Exit on pressing 'q'
if cv2.waitKey(1) & 0xFF == ord('q'):
break

Release the webcam and close windows
cap.release()
cv2.destroyAllWindows()