Hi,
So far I have been using dlib landmarks detector (both the 5 face landmarks detector and the 68 face landmarks detector). Now, I would like to use Facemark API, which I think it has been introduced in OpenCV since 3.4.0 version, but I am not able to get this sample running:
# load image:
image = cv2.imread("my_image.png", 0)
# find faces:
cascade = cv2.CascadeClassifier("haarcascade_frontalface_alt2.xml")
faces = cascade.detectMultiScale(image, 1.3, 5)
# create landmark detector and load lbf model:
facemark = cv2.face.createFacemarkLBF()
facemark.loadModel("lbfmodel.yaml")
# run landmark detector:
ok, landmarks = facemark.fit(image, faces)
# print results:
print ("landmarks LBF",ok, landmarks)
The fit function seems to take a lot of execution time and after a while, an error code is obtained.
Am I doing something wrong?
Thanks in advanced
PS: From this post: "Python support: It appears that there is still no python support yet as of OpenCV 3.4": https://www.learnopencv.com/facemark-facial-landmark-detection-using-opencv/