handTrackMin.py

import cv2
import mediapipe as mp
import time

#video input
cap = cv2.VideoCapture(0)

#creating hands visuals
mpHands = mp.solutions.hands
hands = mpHands.Hands()
mpDraw = mp.solutions.drawing_utils

#supporting smooth fps pt0
pTime = 0
cTime = 0

while True:
    #grabs img converts to proper color values
    success, img = cap.read()
    imgRgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    results = hands.process(imgRgb)

    if results.multi_hand_landmarks:
        for handLms in results.multi_hand_landmarks:

            #converts from the decimal prints the id and position
            for id, lm in enumerate(handLms.landmark):
                h, w, c = img.shape
                cx, cy = int(lm.x*w), int(lm.y*h)
                print(id, cx, cy)
                
                #putting circle over spcific point use to collect data 
                if id == 4:
                   cv2.circle(img, (cx, cy), 5, (255, 0, 255), cv2.FILLED)
            # adds landmarks and hand connections to img
            mpDraw.draw_landmarks(img, handLms, mpHands.HAND_CONNECTIONS)

    #supports smooth fps pt1
    cTime = time.time()
    fps = 1/(cTime-pTime)
    pTime = cTime

    cv2.imshow("Image", img)
    cv2.waitKey(1)