first commit

app.py

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+import face_recognition
+import cv2
+import os
+
+image_to_scan = 'image1.jpg'
+image_dataset_folder = 'faces'
+
+# Load the image to scan
+image = face_recognition.load_image_file(image_to_scan)
+
+# Detect the faces in the image
+face_locations = face_recognition.face_locations(image)
+
+# Draw a rectangle around each detected face using OpenCV
+for (top, right, bottom, left) in face_locations:
+    cv2.rectangle(image, (left, top), (right, bottom), (0, 255, 0), 2)
+
+# Display the image with the detected faces in a window
+cv2.imshow('Faces', image)
+cv2.waitKey(0)
+
+# Load the images from the 'faces' folder and store them in a list
+images = []
+for filename in os.listdir(image_dataset_folder):
+    # if the file name ends with '.jpg' or '.png'
+    if filename.endswith('.jpg') or filename.endswith('.png'):
+        images.append(face_recognition.load_image_file(os.path.join(image_dataset_folder, filename)))
+
+# Loop through the list of images and detect the faces in each image using face_recognition
+for image in images:
+    # Detect the faces in the image
+    face_locations = face_recognition.face_locations(image)
+
+    # Draw a rectangle around each detected face using OpenCV
+    for (top, right, bottom, left) in face_locations:
+        cv2.rectangle(image, (left, top), (right, bottom), (0, 255, 0), 2)
+
+    # Display the images with the detected faces in a window
+    cv2.imshow('Faces', image)
+    cv2.waitKey(0)
+
+# Wait for the user to press a key to exit the program
+cv2.destroyAllWindows()