Hh

 # Import the modules

import cv2 # For image processing

import numpy as np # For array manipulation

import textwrap # For wrapping text

# Define the function to create a featured image

def create_featured_image(image_path, text, font, font_size, font_color, bg_color):

    # Load the image and get its dimensions

    image = cv2.imread(image_path)

    height, width, _ = image.shape

    # Create a margin for the text section

    margin = 20

    # Calculate the height of the text section based on the font size and number of lines

    lines = textwrap.wrap(text, width=40) # Wrap the text into 40 characters per line

    num_lines = len(lines) # Get the number of lines

    line_height = font_size + margin # Get the height of each line

    text_height = num_lines * line_height + margin # Get the total height of the text section

    # Create a blank image for the text section with the same width as the original image and the calculated height

    text_image = np.zeros((text_height, width, 3), dtype=np.uint8)

    text_image[:] = bg_color # Fill the image with the background color

    # Draw the text on the text image using cv2.putText

    y = margin + font_size # The initial y coordinate for the text

    for line in lines: # Loop through each line of text

        cv2.putText(text_image, line, (margin, y), font, font_size / 32, font_color, 1) # Put the text on the image

        y += line_height # Increment the y coordinate for the next line

    # Concatenate the original image and the text image vertically using np.vstack

    featured_image = np.vstack((image, text_image))

    # Return the featured image

    return featured_image

# Test the function with an example image and text

image_path = "example.jpg" # The path to the image file

text = "How to create a featured image with Python" # The text to be added

font = cv2.FONT_HERSHEY_SIMPLEX # The font to be used

font_size = 32 # The font size in pixels

font_color = (255, 255, 255) # The font color in BGR format (white)

bg_color = (0, 0, 0) # The background color in BGR format (black)

# Call the function and save the result as a new image file

result = create_featured_image(image_path, text, font, font_size, font_color, bg_color)

cv2.imwrite("result.jpg", result)