hand-tracking.py

import cv2
import mediapipe as mp
import time

cap = cv2.VideoCapture(0)

mp_hands = mp.solutions.hands
hands = mp_hands.Hands()
mp_draw = mp.solutions.drawing_utils

prev_time = 0
curr_time = 0

while True:
    success, img = cap.read()
    imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    results = hands.process(imgRGB)
    #print(results.multi_hand_landmarks)

    if results.multi_hand_landmarks:
        for hand_lms in results.multi_hand_landmarks:
            for id, lm in enumerate(hand_lms.landmark):
                #print(id, lm)
                height, width, channel = img.shape
                center_x, center_y =  int(lm.x*width), int(lm.y*height)
                print(id, center_x, center_y)
                #if id == 0:
                cv2.circle(img, (center_x, center_y), 10, (255, 0, 0), cv2.FILLED)

            mp_draw.draw_landmarks(img, hand_lms, mp_hands.HAND_CONNECTIONS)

    curr_time = time.time()
    fps = 1/(curr_time - prev_time)
    prev_time = curr_time

    cv2.putText(img, str(int(fps)), (10, 70), cv2.FONT_HERSHEY_PLAIN, 3, (250, 0, 0), 3)

    cv2.imshow('image', img)
    cv2.waitKey(1)