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✋ Hand gesture recognition Full Source Code 👇👇👇👇

✋ Hand gesture recognition

import cv2
import mediapipe as mp

# Initialize MediaPipe Hands module
mp_hands = mp.solutions.hands
hands = mp_hands.Hands()

# Initialize MediaPipe Drawing module for drawing landmarks
mp_drawing = mp.solutions.drawing_utils

# Open a video capture object (0 for the default camera)
cap = cv2.VideoCapture(0)

while cap.isOpened():
ret, frame = cap.read()

if not ret:
continue

# Convert the frame to RGB format
frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

# Process the frame to detect hands
results = hands.process(frame_rgb)

# Check if hands are detected
if results.multi_hand_landmarks:
for hand_landmarks in results.multi_hand_landmarks:
# Draw landmarks on the frame
mp_drawing.draw_landmarks(frame, hand_landmarks, mp_hands.HAND_CONNECTIONS)

# Display the frame with hand landmarks
cv2.imshow('Hand Recognition', frame)

# Exit when 'q' is pressed
if cv2.waitKey(1) & 0xFF == ord('q'):
break

# Release the video capture object and close the OpenCV windows
cap.release()
cv2.destroyAllWindows()

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7.35K viewsedited  Sep 4, 2023 at 10:16

✋ Hand gesture recognition

import cv2
import mediapipe as mp

# Initialize MediaPipe Hands module
mp_hands = mp.solutions.hands
hands = mp_hands.Hands()

# Initialize MediaPipe Drawing module for drawing landmarks
mp_drawing = mp.solutions.drawing_utils

# Open a video capture object (0 for the default camera)
cap = cv2.VideoCapture(0)

while cap.isOpened():
ret, frame = cap.read()

if not ret:
continue

# Convert the frame to RGB format
frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

# Process the frame to detect hands
results = hands.process(frame_rgb)

# Check if hands are detected
if results.multi_hand_landmarks:
for hand_landmarks in results.multi_hand_landmarks:
# Draw landmarks on the frame
mp_drawing.draw_landmarks(frame, hand_landmarks, mp_hands.HAND_CONNECTIONS)

# Display the frame with hand landmarks
cv2.imshow('Hand Recognition', frame)

# Exit when 'q' is pressed
if cv2.waitKey(1) & 0xFF == ord('q'):
break

# Release the video capture object and close the OpenCV windows
cap.release()
cv2.destroyAllWindows()

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