added single face detection and multiple face detection image

app2.py

@@ -0,0 +1,35 @@
+import face_recognition
+import cv2
+import os
+
+image_load = 'image1.jpg'
+image_data_folder = 'faces/'
+
+# Load the images in the image_data_folder and save their face encodings in a list
+image_dataset = []
+for filename in os.listdir(image_data_folder):
+    image_data_path = os.path.join(os.getcwd(), image_data_folder, filename)
+    image_data = face_recognition.load_image_file(image_data_path)
+    image_data_encoding = face_recognition.face_encodings(image_data)[0]
+    image_dataset.append((filename, image_data_encoding))
+
+# Load the image_load and find the face locations and encodings
+image_load_path = os.path.join(os.getcwd(), image_load)
+image_load = face_recognition.load_image_file(image_load_path)
+image_load_face_locations = face_recognition.face_locations(image_load)
+image_load_face_encodings = face_recognition.face_encodings(image_load, image_load_face_locations)
+
+# Compare the face encodings in image_load to the face encodings in image_dataset
+for (top, right, bottom, left), face_encoding in zip(image_load_face_locations, image_load_face_encodings):
+    matches = face_recognition.compare_faces([x[1] for x in image_dataset], face_encoding, tolerance=0.55)
+    if True in matches:
+        # Find the name of the matching face
+        name = image_dataset[matches.index(True)][0]
+        # Draw a box around the face and show the name on the top right of the box
+        cv2.rectangle(image_load, (left, top), (right, bottom), (0, 0, 255), 2)
+        cv2.putText(image_load, name, (right, top), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 2)
+
+# Display the image with the boxes and names around the matching faces
+cv2.imshow('Image', image_load)
+cv2.waitKey(0)
+cv2.destroyAllWindows()