'import face_recognition' Not found

[SajjaManojKumar]

I follow your blog on COVID-19 face mask detection.
I wanted to reproduce my own dataset. so i referred to this repository. I cloned a copy to use it.
In .\observations-master\mask_classifier\Data_Generator\mask.py line 67 you've imported face_recognition. But then you never mentioned from where you imported. It would be easy if you share even that part or even mention what is alternative way.
Thank you.

[arkothiwala]

face_recognition is used at just three locations:
(1) to read image -> use cv2.imread(address)
(2) to detect face -> you can use dlib.get_frontal_face_detector() ref - pyimagesearch post
(3) to get face_landmarks ->
predictor = dlib.shape_predictor('model.dat')
landmarks = predictor(gray_image, face_locations[0]) # just take first face
You need to convert laandmarks falling in nose and chin region into dict as the following function expects in that manner only
face_landmark = {}
face_landmark['nose_bridge'] = landmarks[27:36]
face_landmark['chin'] = landmarks[0:17]

now you have got everything to run main function i.e.
_mask_face(self, face_landmark: dict)

Again this is just for just one face. Please put this in for loop to handle multiple faces

[ninenerd]

@arkothiwala Hi, I made changes as you suggested. but getting error.

face_landmark['nose_bridge'] = landmarks[27:36]
TypeError: 'dlib.full_object_detection' object is not subscriptable

       face_image_np=cv2.imread(self.face_path)
       face_locations= dlib.get_frontal_face_detector() 
       print(face_locations)
       predictor = dlib.shape_predictor('shape_predictor_68_face_landmarks.dat')
       gray_image=cv2.cvtColor(np.array(face_image_np),cv2.COLOR_BGR2GRAY)
       rects = face_locations(gray_image, 1)

       landmarks = predictor(gray_image, rects[0])
       
       face_landmark = {}
       face_landmark['nose_bridge'] = landmarks[27:36]
       face_landmark['chin'] = landmarks[0:17]
       
       self._face_img = Image.fromarray(face_image_np)
       self._mask_img = Image.open(self.mask_path)

Can you help me here ?