dlib facial landmark detection
dlib (http://dlib.net) is an excellent library for computer vision. with the following code you can detect landmarks in a face:
The red circle in that image marks the tip of the nose, scaled to the width of the nose. The numbers mark the parts that are detected by the dlib detector.
import os
import dlib
import glob
import cv2
predictor_path = "./shape_predictor_68_face_landmarks.dat"
faces_folder_path = "/home/user/opencv/computer-vision-drone/src/python/employees/"
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(predictor_path)
for f in glob.glob(os.path.join(faces_folder_path, "*oser*")):
img = cv2.imread(f)
dets = detector(img, 1)
for k, d in enumerate(dets):
print("Detection {}: Left: {} Top: {} Right: {} Bottom: {}".format(
k, d.left(), d.top(), d.right(), d.bottom()))
# Get the landmarks/parts for the face in box d.
shape = predictor(img, d)
print("Part 0: {}, Part 1: {} ...".format(shape.part(0),
shape.part(1)))
for i in range(0, 68):
x = shape.part(i).x
y = shape.part(i).y
img = cv2.putText(img, str(i), (x, y), cv2.FONT_HERSHEY_SIMPLEX, 0.3, (0, 255, 0), 1)
nose_x = shape.part(30).x
nose_y = shape.part(30).y
radius = int(abs(shape.part(35).x - shape.part(31).x) / 2)
img = cv2.circle(img, (nose_x, nose_y), radius, (0, 0, 255), 1)
cv2.imshow("image", img)
key = cv2.waitKey(0) & 0xff
if key == 27:
break
