Gesture Volume Control #401

This project is made for issue #401

Machine Learning/Gesture Volume Control/Code.py

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+import cv2
+import mediapipe as mp
+import numpy as np
+import pycaw
+
+# Initialize the mediapipe hand detection model
+mp_hands = mp.solutions.hands
+hands = mp_hands.Hands()
+
+# Initialize the volume controller
+volume = pycaw.Pycaw()
+volMin, volMax = volume.GetVolumeRange()
+
+# Create a video capture object
+cap = cv2.VideoCapture(0)
+
+while True:
+    # Capture a frame from the webcam
+    ret, frame = cap.read()
+
+    # Process the frame with the hand detection model
+    results = hands.process(frame)
+
+    # Check if any hands were detected
+    if results.multi_hand_landmarks:
+        # Get the landmarks for the first hand
+        hand = results.multi_hand_landmarks[0]
+
+        # Get the x and y coordinates of the thumb and index finger
+        thumb_x, thumb_y = hand.landmark[4].x, hand.landmark[4].y
+        index_x, index_y = hand.landmark[8].x, hand.landmark[8].y
+
+        # Calculate the distance between the thumb and index finger
+        length = np.hypot(thumb_x - index_x, thumb_y - index_y)
+
+        # Map the distance to the volume range
+        volume_level = np.interp(length, [30, 350], [volMin, volMax])
+
+        # Set the volume level
+        volume.SetMasterVolumeLevel(volume_level)
+
+    # Display the frame
+    cv2.imshow('Frame', frame)
+
+    # Press 'q' to quit
+    if cv2.waitKey(1) == ord('q'):
+        break
+
+# Release the video capture object
+cap.release()
+
+# Close all windows
+cv2.destroyAllWindows()

Machine Learning/Gesture Volume Control/Readme.md

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+This code will use the MediaPipe hand detection model to track the user's hand gestures. The distance between the thumb and index finger will be used to control the volume level. The code will also display the frame from the webcam so that the user can see the hand gestures that they are making.
+
+To run the code, you will need to install the following libraries:
+
+    OpenCV
+    MediaPipe
+    NumPy
+    pycaw
+
+Once you have installed the libraries, you can run the code by saving it as a Python file and then running it from the command line. For example, if you saved the code as gesture_volume_control.py, you could run it by typing the following command into the command line:
+Code snippet :
+
+python gesture_volume_control.py
+
+or directly run the program.