retinaface's nose and mouth field are returned in extract faces

deepface/models/Detector.py

@@ -45,6 +45,7 @@ class FacialAreaRegion:
         confidence (float, optional): Confidence score associated with the face detection.
             Default is None.
     """
+
     x: int
     y: int
     w: int
@@ -52,6 +53,9 @@ class FacialAreaRegion:
     left_eye: Optional[Tuple[int, int]] = None
     right_eye: Optional[Tuple[int, int]] = None
     confidence: Optional[float] = None
+    nose: Optional[Tuple[int, int]] = None
+    mouth_right: Optional[Tuple[int, int]] = None
+    mouth_left: Optional[Tuple[int, int]] = None
 
 
 @dataclass
@@ -63,7 +67,8 @@ class DetectedFace:
         img (np.ndarray): detected face image as numpy array
         facial_area (FacialAreaRegion): detected face's metadata (e.g. bounding box)
         confidence (float): confidence score for face detection
-        """
+    """
+
     img: np.ndarray
     facial_area: FacialAreaRegion
     confidence: float

deepface/models/face_detection/RetinaFace.py

@@ -42,10 +42,16 @@ class RetinaFaceClient(Detector):
             # retinaface sets left and right eyes with respect to the person
             left_eye = identity["landmarks"]["left_eye"]
             right_eye = identity["landmarks"]["right_eye"]
+            nose = identity["landmarks"]["nose"]
+            mouth_right = identity["landmarks"]["mouth_right"]
+            mouth_left = identity["landmarks"]["mouth_left"]
 
             # eyes are list of float, need to cast them tuple of int
             left_eye = tuple(int(i) for i in left_eye)
             right_eye = tuple(int(i) for i in right_eye)
+            nose = tuple(int(i) for i in nose)
+            mouth_right = tuple(int(i) for i in mouth_right)
+            mouth_left = tuple(int(i) for i in mouth_left)
 
             confidence = identity["score"]
 
@@ -57,6 +63,9 @@ class RetinaFaceClient(Detector):
                 left_eye=left_eye,
                 right_eye=right_eye,
                 confidence=confidence,
+                nose=nose,
+                mouth_left=mouth_left,
+                mouth_right=mouth_right,
             )
 
             resp.append(facial_area)

deepface/modules/detection.py

@@ -148,16 +148,26 @@ def extract_faces(
         w = min(width - x - 1, int(current_region.w))
         h = min(height - y - 1, int(current_region.h))
 
+        facial_area = {
+            "x": x,
+            "y": y,
+            "w": w,
+            "h": h,
+            "left_eye": current_region.left_eye,
+            "right_eye": current_region.right_eye,
+        }
+
+        # optional nose, mouth_left and mouth_right fields are coming just for retinaface
+        if current_region.nose:
+            facial_area["nose"] = current_region.nose
+        if current_region.mouth_left:
+            facial_area["mouth_left"] = current_region.mouth_left
+        if current_region.mouth_right:
+            facial_area["mouth_right"] = current_region.mouth_right
+
         resp_obj = {
             "face": current_img,
-            "facial_area": {
+            "facial_area": facial_area,
-                "x": x,
-                "y": y,
-                "w": w,
-                "h": h,
-                "left_eye": current_region.left_eye,
-                "right_eye": current_region.right_eye,
-            },
             "confidence": round(float(current_region.confidence or 0), 2),
         }
 
@@ -272,6 +282,9 @@ def expand_and_align_face(
     left_eye = facial_area.left_eye
     right_eye = facial_area.right_eye
     confidence = facial_area.confidence
+    nose = facial_area.nose
+    mouth_left = facial_area.mouth_left
+    mouth_right = facial_area.mouth_right
 
     if expand_percentage > 0:
         # Expand the facial region height and width by the provided percentage
@@ -305,11 +318,26 @@ def expand_and_align_face(
             left_eye = (left_eye[0] - width_border, left_eye[1] - height_border)
         if right_eye is not None:
             right_eye = (right_eye[0] - width_border, right_eye[1] - height_border)
+        if nose is not None:
+            nose = (nose[0] - width_border, nose[1] - height_border)
+        if mouth_left is not None:
+            mouth_left = (mouth_left[0] - width_border, mouth_left[1] - height_border)
+        if mouth_right is not None:
+            mouth_right = (mouth_right[0] - width_border, mouth_right[1] - height_border)
 
     return DetectedFace(
         img=detected_face,
         facial_area=FacialAreaRegion(
-            x=x, y=y, h=h, w=w, confidence=confidence, left_eye=left_eye, right_eye=right_eye
+            x=x,
+            y=y,
+            h=h,
+            w=w,
+            confidence=confidence,
+            left_eye=left_eye,
+            right_eye=right_eye,
+            nose=nose,
+            mouth_left=mouth_left,
+            mouth_right=mouth_right,
         ),
         confidence=confidence,
     )