#4 Implemented Detector class

modules/Detector.py

@@ -0,0 +1,25 @@
+import cv2
+
+class Detector(): 
+
+	def _find_faces(self, image: object) -> int:
+		"""
+		Uses OpenCV to recognize faces in the taken picture.
+		Arguments:
+		object: Previously taken image (or any image).
+		Returns:
+		int: Number of recognized faces in the picture.
+		
+		casc_path = 'haarcascade_frontalface_default.xml'
+		face_cascade = cv2.CascadeClassifier(casc_path)
+		"""
+		face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
+		gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+		faces = face_cascade.detectMultiScale(
+			gray,
+			scaleFactor=1.1,
+			minNeighbors=5,
+			minSize=(30, 30),
+			flags=cv2.CASCADE_SCALE_IMAGE
+		)
+		return len(faces)