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Resizing Image: Pixel Power

In the ever-evolving landscape of visual tech, there’s a silent revolution happening—one pixel at a time. Today, fellow soccer student let’s ride on a journey through the enchanting world of image resizing, guided by the mystical powers of Python and the Pillow library. Join me as we unravel the secrets of code and reshape the very fabric of our visual narratives.

The Quest Begins

Our adventure commences with a mission: to break free from the constraints of default photo sizes. Armed with Python, a programming language that’s both powerful and accessible, and the Pillow library, our script sets out to redefine the proportions of our digital memories.

Pillow – The Enchanter’s Wand

Enter Pillow, a magical library that transforms ordinary images into digital marvels. With Pillow, resizing an image becomes an art—a spell cast upon the pixels, turning the mundane into the extraordinary. As we hack into the world of Pillow, we discover a realm where code meets creativity.

from PIL import Image
import os
import sys

def resize_images_in_folder(input_folder, output_folder, percentage):
    try:
        # Ensure the output folder exists
        if not os.path.exists(output_folder):
            os.makedirs(output_folder)

        # Iterate through all files in the input folder
        for filename in os.listdir(input_folder):
            if filename.endswith(('.jpg', '.jpeg', '.png')):  # Add more supported file extensions if needed
                input_path = os.path.join(input_folder, filename)
                output_path = os.path.join(output_folder, filename)

                # Open and resize each image
                with Image.open(input_path) as img:
                    width, height = img.size
                    new_width = int(width * (percentage / 100))
                    new_height = int(height * (percentage / 100))
                    resized_img = img.resize((new_width, new_height))
                    resized_img.save(output_path)

                print(f"Image {filename} resized and saved to {output_path}")

    except Exception as e:
        print(f"Error: {e}")

if __name__ == "__main__":
    # Check if the correct number of arguments is provided
    if len(sys.argv) != 4:
        print("Usage: python script_name.py input_folder output_folder percentage")
        sys.exit(1)

    # Extract command-line arguments
    input_folder_path = sys.argv[1]
    output_folder_path = sys.argv[2]
    resize_percentage = float(sys.argv[3])

    # Call the function with provided arguments
    resize_images_in_folder(input_folder_path, output_folder_path, resize_percentage)

Command Line Mastery

Our journey takes an adventurous turn as we navigate the command line abyss. Fear not, for our script is the guiding light through this seemingly complex terrain. By passing variables through the command line, we gain control over the resizing magic. Input folders, output folders, and resizing percentages become our commands in the symphony of code.

python resize_script.py path/to/your/input/folder path/to/your/output/folder 50

Simply replace the paths with your image folders, and voila! The script transforms into a digital choreographer, orchestrating a visual masterpiece with every run.

The Pillow Dance

As the script executes, a mesmerizing Pillow dance unfolds. Images twirl and resize to the rhythm of mathematical precision. The script, a choreographer of pixels, orchestrates a symphony of code where every line contributes to the visual harmony. Witness the mundane become magnificent through the Pillow dance.

Tech Advice: In this coding chronicle, we’ve glimpsed the magic of image resizing and the liberation of pixels. Pillow emerges as our code sorcerer, and the script stands as a magical potion to the pixel power within our grasp. So, fellow tech enthusiasts, grab your keyboards, dive into the world of image resizing, and let your pixels dance to the rhythm of endless possibilities. The code is yours to wield, the pixels yours to command. Let the magic begin! Happy Coding Fellow Tech Alchemists! 🪄🧙‍♂️🎩🧪

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