HandRecognition.py

import cv2 as cv
import mediapipe as mp
import time

cap = cv.VideoCapture(0)

mpHands = mp.solutions.hands
hands = mpHands.Hands()
mpDraw = mp.solutions.drawing_utils

pTime = 0
cTime = 0

while True:
    isTrue, frame = cap.read()
    imgRGB = cv.cvtColor(frame, cv.COLOR_BGR2RGB)
    results = hands.process(imgRGB)
    # print(results.multi_hand_landmarks)

    if results.multi_hand_landmarks:
        for handLms in results.multi_hand_landmarks:
            for id, landmark in enumerate(handLms.landmark):
                height, width, channels = frame.shape
                cx, cy = int(landmark.x*width), int(landmark.y*height)
                print(id, cx, cy)
            mpDraw.draw_landmarks(frame, handLms, mpHands.HAND_CONNECTIONS)

    cTime = time.time()
    fps = 1/(cTime-pTime)
    pTime = cTime

    cv.putText(frame, str(int(fps)),(10,70), cv.FONT_ITALIC, 3, (0,0,0), thickness=3)

    cv.imshow('New Window', frame)
    cv.waitKey(1)