Update app.py

app.py

@@ -5,47 +5,14 @@ import numpy as np
 staff_folder_path = r"C:\Users\nikit\OneDrive\Desktop\Test1"  # Replace with the correct path
 unknown_folder_path = r"C:\Users\nikit\OneDrive\Desktop\Test2"  # Replace with the correct path
 
+print(f"Staff folder path: {staff_folder_path}")
+print(f"Unknown folder path: {unknown_folder_path}")
+import os
 
-def compare_images(image1, image2):
- Read the images
-    ##img1 = cv2.imread(staff_folder_path)
-    img2 = cv2.imread(unknown_folder_path)
-
-    # Check if both images are loaded properly
-    if img1 is None or img2 is None:
-        return False
-
-    # Resize images to the same size
-    img1 = cv2.resize(img1, (100, 100))
-    img2 = cv2.resize(img2, (100, 100))
-
-    # Convert images to grayscale
-    gray1 = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
-    gray2 = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
+if os.path.exists(path):
+    print("Path exists!")
+else:
+    print("Path does not exist.")
 
-    # Calculate the Structural Similarity Index (SSI)
-    score, _ = cv2.compare_ssim(gray1, gray2, full=True)
-    
-    # You can adjust the threshold based on your needs
-    return score >= 0.9  # Threshold for similarity
 
-def compare_folders(staff_folder, unknown_folder):
-    for staff_image in os.listdir(staff_folder):
-        staff_image_path = os.path.join(staff_folder, staff_image)
-        found_match = False
-        
-        for unknown_image in os.listdir(unknown_folder):
-            unknown_image_path = os.path.join(unknown_folder, unknown_image)
-            
-            if compare_images(staff_image_path, unknown_image_path):
-                print(f"Match found: {staff_image} matches {unknown_image} (Staff)")
-                found_match = True
-                break
-        
-        if not found_match:
-            print(f"No match found for {staff_image} (Unknown)")
 
-# Usage
-staff_folder_path = 'path/to/staff/images'
-unknown_folder_path = 'path/to/unknown/images'
-compare_folders(staff_folder_path, unknown_folder_path)###