The cell one consists of the following code-
!wget http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2 # DOWNLOAD LINK
!bunzip2 /content/shape_predictor_68_face_landmarks.dat.bz2
datFile = "/content/shape_predictor_68_face_landmarks.dat"
The cell two consists of the following code-
import cv2
import dlib
cap = cv2.VideoCapture(0)
hog_face_detector = dlib.get_frontal_face_detector()
dlib_facelandmark = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
while True:
_, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = hog_face_detector(gray)
for face in faces:
face_landmarks = dlib_facelandmark(gray, face)
for n in range(0, 68):
x = face_landmarks.part(n).x
y = face_landmarks.part(n).y
cv2.circle(frame, (x, y), 1, (0, 255, 255), 1)
cv2.imshow("Face Landmarks", frame)
key = cv2.waitKey(1)
if key == 27:
break
cap.release()
cv2.destroyAllWindows()
I need landmarks on live video not on captured image. If possible please share your colab link after running the code