Training file

Trainer.py

@@ -0,0 +1,28 @@
+from time import sleep
+from io import BytesIO
+import cv2
+import numpy as np
+
+def train(label, path):
+    try:
+        face_recognizer = cv2.createLBPHFaceRecognizer()
+        face_recognizer.load('/faces/hesham-saeed2')
+    except:
+        print('[ Error ] Problem in init/loading LBPHfacerecognizer')
+    images = []
+    labels = []
+    image_names = os.listdir(path)
+    for image_name in image_names:
+        if image_name.startswith('.'):
+            continue;
+        image_path = train_path + image_name
+		image = cv2.imread(image_path)
+		gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+        face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+        faces = face_cascade.detectMultiScale(gray, 1.3, 5)
+        for (x,y,w,h) in faces:
+            images.append(gray[y:y+h, x:x+w])
+            labels.append(label)
+        face_recognizer.train(images, np.array(labels))
+    
+