HandTrackingMin.py

# import cv2
# import mediapipe as mp
# import time

# cap = cv2.VideoCapture(0) # Here 1 denote webcam number '1'

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

# pTime = 0
# cTime = 0

# while True:
#     success, img = cap.read()
#     imgRGB = cv2.cvtColor(img, cv2.COLOR_RGB2BGR) # this is because the class take only RGB values
#     results = hands.process(imgRGB)
#     # print(results.multi_hand_landmarks) 
#     if results.multi_hand_landmarks:
#         for handLms in results.multi_hand_landmarks:
#             for id, lm in enumerate(handLms.landmark):
#                 # print(id,lm)
#                 h, w, c = img.shape
#                 cx, cy = int(lm.x*w), int(lm.y*h)
#                 print(id, cx, cy)

#             #if id == 4:
#             cv2.circle(img, (cx, cy), 25, (250, 0, 250), cv2.FILLED)

#             mpDraw.draw_landmarks(img, handLms, mpHands.HAND_CONNECTIONS) # THIS IS GETTING CONNECTIONS BETWEEN THE NODES IN THE HAND
    
#     cTime = time.time()
#     fps = 1/(cTime-pTime)
#     pTime = cTime

#     cv2.putText(img, str(int(fps)), (10,70), cv2.FONT_HERSHEY_PLAIN, 2, (255, 0, 255), 3) # This will show the fps
#     cv2.imshow("Image", img)
#     cv2.waitKey(1)