Update New_file.txt

New_file.txt

@@ -2,13 +2,17 @@ import cv2
 import numpy as np
 
 # Load the images
-image1_path = 'path_to_your_first_image.jpg'
-image2_path = 'path_to_your_second_image.jpg'
-image1 = cv2.imread(image1_path)
-image2 = cv2.imread(image2_path)
-
-# Define the desired height for both images (e.g., height of the first image)
-desired_height = max(image1.shape[0], image2.shape[0])
+image_paths = [
+    'path_to_your_first_image.jpg',
+    'path_to_your_second_image.jpg',
+    'path_to_your_third_image.jpg',
+    'path_to_your_fourth_image.jpg',
+    'path_to_your_fifth_image.jpg'
+]
+images = [cv2.imread(image_path) for image_path in image_paths]
+
+# Define the desired height for all images (e.g., maximum height among the images)
+desired_height = max(image.shape[0] for image in images)
 
 # Function to resize an image while maintaining aspect ratio
 def resize_with_aspect_ratio(image, height):
@@ -18,50 +22,35 @@ def resize_with_aspect_ratio(image, height):
     return resized_image
 
 # Resize images
-image1_resized = resize_with_aspect_ratio(image1, desired_height)
-image2_resized = resize_with_aspect_ratio(image2, desired_height)
+resized_images = [resize_with_aspect_ratio(image, desired_height) for image in images]
 
 # Add white padding to make the images the same width
-max_width = max(image1_resized.shape[1], image2_resized.shape[1])
-image1_padded = cv2.copyMakeBorder(
-    image1_resized, 
-    0, 0, 0, max_width - image1_resized.shape[1], 
-    cv2.BORDER_CONSTANT, 
-    value=[255, 255, 255]
-)
-image2_padded = cv2.copyMakeBorder(
-    image2_resized, 
-    0, 0, 0, max_width - image2_resized.shape[1], 
+max_width = max(image.shape[1] for image in resized_images)
+padded_images = [cv2.copyMakeBorder(
+    image, 
+    0, 0, 0, max_width - image.shape[1], 
     cv2.BORDER_CONSTANT, 
     value=[255, 255, 255]
-)
+) for image in resized_images]
 
 # Combine images side by side
-combined_image = np.hstack((image1_padded, image2_padded))
+combined_image = np.hstack(padded_images)
 
 # Add labels to the top of each image
-label1 = 'Image 1'
-label2 = 'Image 2'
+labels = ['Image 1', 'Image 2', 'Image 3', 'Image 4', 'Image 5']
 font = cv2.FONT_HERSHEY_SIMPLEX
 font_scale = 1
 color = (0, 0, 0)  # Black color for the text
 thickness = 2
 
-# Calculate the position for the labels
-label1_size = cv2.getTextSize(label1, font, font_scale, thickness)[0]
-label2_size = cv2.getTextSize(label2, font, font_scale, thickness)[0]
-
-# Position for label1
-x1 = 10
-y1 = label1_size[1] + 10
-
-# Position for label2
-x2 = image1_padded.shape[1] + 10
-y2 = label2_size[1] + 10
-
 # Add labels to the combined image
-cv2.putText(combined_image, label1, (x1, y1), font, font_scale, color, thickness)
-cv2.putText(combined_image, label2, (x2, y2), font, font_scale, color, thickness)
+x_offset = 0
+for i, label in enumerate(labels):
+    label_size = cv2.getTextSize(label, font, font_scale, thickness)[0]
+    x = x_offset + 10
+    y = label_size[1] + 10
+    cv2.putText(combined_image, label, (x, y), font, font_scale, color, thickness)
+    x_offset += max_width
 
 # Display the combined image
 cv2.imshow('Combined Image', combined_image)
@@ -70,3 +59,4 @@ cv2.destroyAllWindows()
 
 # Save the combined image
 cv2.imwrite('combined_image.jpg', combined_image)
+