from cvzone.FaceMeshModule import FaceMeshDetector
import cv2
cap = cv2.VideoCapture(0)
detector = FaceMeshDetector(maxFaces=2)
while True:
success, img = cap.read()
img, faces = detector.findFaceMesh(img)
if faces:
print(faces[0])
cv2.imshow("Image", img)
cv2.waitKey(1)
cap = cv2.VideoCapture(0)
detector = FaceMeshDetector(maxFaces=1)
textList = [
"Wecome to", "Updaun Github.", "Here we will study", "Computer Vision,",
"Robotics and AI.", "If you like this code", "Enjoy and Share",
"Thank you."
]
sen = 25
while True:
success, img = cap.read()
imgText = np.zeros_like(img)
img, faces = detector.findFaceMesh(img, draw=False)
if faces:
face = faces[0]
pointLeft = face[145]
pointRight = face[374]
w, _ = detector.findDistance(pointLeft, pointRight)
W = 6.3
# Finding distance
f = 840
d = (W * f) / w
print(d)
cvzone.putTextRect(img,