python-beginner-projects/projects/HandTrack/base.py at main · RealPythonProjects/python-beginner-projects · GitHub

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import cv2

import mediapipe as mp

import time

mp_drawing = mp.solutions.drawing_utils

mp_drawing_styles = mp.solutions.drawing_styles

mp_hands = mp.solutions.hands

pTime = 0

cTime = 0

cap = cv2.VideoCapture(0)

hands = mp_hands.Hands()

while True:

success, image = cap.read()

if not success:

print("Ignoring empty camera frame.")

continue

cTime = time.time()

fps = 1 / (cTime - pTime)

pTime = cTime

image.flags.writeable = False

image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

results = hands.process(image)

image.flags.writeable = True

image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)

if results.multi_hand_landmarks:

for hand_landmarks in results.multi_hand_landmarks:

mp_drawing.draw_landmarks(

image,

hand_landmarks,

mp_hands.HAND_CONNECTIONS,

mp_drawing_styles.DrawingSpec(color=(0, 0, 256)),

mp_drawing_styles.DrawingSpec(color=(0, 256, 0)),

)

image = cv2.flip(image, 1)

cv2.putText(

image, str(int(fps)), (500, 400), cv2.FONT_HERSHEY_PLAIN, 3, (120, 52, 40), 3

)

cv2.imshow("Camera Result", image)

# print(fps)

cv2.waitKey(1)

python-beginner-projects/projects/HandTrack/base.py at main · RealPythonProjects/python-beginner-projects · GitHub

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