Master Image Manipulation with Python | Resize, Crop, and Create Stunning Visuals ??️#python #vira

#Python #ImageManipulation #CreativeCoding #Tutorial #DigitalArt #CodeMagic

??️ Ready to transform your images into masterpieces? Dive into a mesmerizing coding adventure as we guide you through the art of image manipulation using Python. In this tutorial, we'll equip you with the skills to reshape, focus, and amplify your visuals like never before!

Uncover the magic of creative expression with just a few lines of code. Join us as we:

? Learn to resize images, making them fit your vision perfectly.
? Master the art of cropping to spotlight the heart of your images.
? Elevate your visuals by applying enchanting filters for artistic brilliance.

Whether you're a seasoned coder or a beginner eager to explore the world of image manipulation, this tutorial is your key to unlocking endless possibilities. From photography enthusiasts to digital artists, this video is designed to inspire and empower you to create captivating visuals that tell your unique story.

? Ready to embark on a journey of artistic transformation? Hit that subscribe button and ring the notification bell to be the first to dive into this spellbinding coding tutorial!

??️ Ignite your creative spark! Watch the video now and let your imagination run wild with the power of image manipulation. ?✨

(Note: Our channel is a treasure trove of creative coding projects. Subscribe and join our vibrant community of artists and coders for more captivating tutorials.) ??

??CODE:-
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from PIL import Image, ImageFilter

def resize_image(input_image_path, output_image_path, size):
original_image = Image.open(input_image_path)
width, height = original_image.size
resized_image = original_image.resize(size)
resized_image.save(output_image_path)

def crop_image(input_image_path, output_image_path, crop_box):
original_image = Image.open(input_image_path)
cropped_image = original_image.crop(crop_box)
cropped_image.save(output_image_path)

def apply_filter(input_image_path, output_image_path, filter_type):
original_image = Image.open(input_image_path)
filtered_image = original_image.filter(filter_type)
filtered_image.save(output_image_path)

if __name__ == "__main__":
input_path = "input.jpg"
output_path = "output.jpg"

# Resize
new_size = (300, 300)
resize_image(input_path, output_path, new_size)

# Crop
crop_box = (100, 100, 400, 400) # (left, upper, right, lower)
crop_image(input_path, output_path, crop_box)

# Apply Filter
filter_type = ImageFilter.BLUR
apply_filter(input_path, output_path, filter_type)