SWIN_Angle_Detection_Car / New_file.txt
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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)
# Resize images to the same height for concatenation
height1, width1, _ = image1.shape
height2, width2, _ = image2.shape
# Define the desired height for both images (e.g., height of the first image)
desired_height = height1
# Resize images
image1_resized = cv2.resize(image1, (width1, desired_height))
image2_resized = cv2.resize(image2, (width2, desired_height))
# Combine images side by side
combined_image = np.hstack((image1_resized, image2_resized))
# Add labels to the top of each image
label1 = 'Image 1'
label2 = 'Image 2'
font = cv2.FONT_HERSHEY_SIMPLEX
font_scale = 1
color = (255, 255, 255) # White 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 = width1 + 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)
# Display the combined image
cv2.imshow('Combined Image', combined_image)
cv2.waitKey(0)
cv2.destroyAllWindows()
# Save the combined image
cv2.imwrite('combined_image.jpg', combined_image)