feat: start of smart head movement

cameraworker.py

@@ -13,7 +13,7 @@ camera = Camera()
 
 def camera_image():
     scheduler.enter(INTERVAL_IMAGE, 1, camera_image)
-    image = camera.get_image()
+    image, face = camera.get_image()
     redisdb.publish('image', image)
 
 

config.example.ini

@@ -1,2 +1,3 @@
 [camera]
 rotate=0
+draw_face=true

control/camera.py

@@ -1,11 +1,19 @@
-from io import BytesIO
-import os.path
-from typing import Optional
 import configparser
+import os.path
+from io import BytesIO
+from typing import NamedTuple, Optional, Tuple
 
 import cv2
 from PIL import Image
 
+
+class FacePos(NamedTuple):
+    x: int
+    y: int
+    w: int
+    h: int
+
+
 FACE_DATA = next(filter(os.path.exists, [
     '/usr/share/opencv/haarcascades/haarcascade_frontalface_default.xml',
     '/usr/share/opencv4/haarcascades/haarcascade_frontalface_default.xml',
@@ -38,20 +46,27 @@ class Camera:
 
         self.rotate = get_rotate_value(self.config['rotate'])
 
-    def get_image(self) -> Optional[bytes]:
+        self.detect_face = False
+        self.draw_face = self.config.getboolean('draw_face', fallback=False)
+
+    def get_image(self) -> Tuple[Optional[bytes], Optional[FacePos]]:
         return_code, image = self.capture.read()
         if not return_code:
-            return None
+            return None, None
         if self.rotate is not None:
             image = cv2.rotate(image, self.rotate)
-        image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
 
+        face = None
+        if self.detect_face:
+            image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
             faces = face_cascade.detectMultiScale(image_gray, 1.3, 5)
+            face = FacePos(*faces[0])
+            if self.draw_face:
                 for (x, y, w, h) in faces:
-            image = cv2.rectangle(image, (x, y), (x+w, y+h), (255, 0, 0), 2)
+                    image = cv2.rectangle(image, (x, y), (x + w, y + h), (255, 0, 0), 2)
 
         image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
         jpg = Image.fromarray(image_rgb)
         byte_stream = BytesIO()
         jpg.save(byte_stream, 'JPEG')
-        return bytes(byte_stream.getbuffer())
+        return bytes(byte_stream.getbuffer()), face