Using python PIL library to crop and save image

Using python PIL library to crop and save image

You can use the Python Imaging Library (PIL) module, which is now known as Pillow, to crop and save an image. Pillow is a powerful library for working with images in various formats. Here's how you can crop and save an image using Pillow:

  • Install Pillow if you haven't already:
pip install Pillow
  • Import the necessary modules:
from PIL import Image
  • Open the image you want to crop:
image = Image.open("input_image.jpg") # Replace with the path to your input image
  • Define the cropping region. You need to specify the coordinates (left, upper, right, lower) of the region you want to crop. You can do this manually or programmatically:
# Manual cropping coordinates (left, upper, right, lower) crop_box = (100, 100, 400, 400) # Example coordinates, adjust as needed
  • Crop the image using the crop method:
cropped_image = image.crop(crop_box)
  • Save the cropped image to a file using the save method:
cropped_image.save("cropped_image.jpg") # Replace with the desired output file path and format

Here's the complete code:

from PIL import Image # Open the image image = Image.open("input_image.jpg") # Define the cropping region crop_box = (100, 100, 400, 400) # Crop the image cropped_image = image.crop(crop_box) # Save the cropped image cropped_image.save("cropped_image.jpg")

This code will open an input image, crop it based on the specified coordinates, and save the cropped portion as a new image. Make sure to replace "input_image.jpg" with the actual path to your input image and adjust the cropping coordinates as needed.

Examples

  1. "Python PIL crop image example"

    • Description: This query is commonly used by beginners seeking a straightforward example of how to crop an image using Python's PIL library.
    from PIL import Image # Open an image file img = Image.open('image.jpg') # Define the cropping region (left, upper, right, lower) crop_region = (100, 100, 300, 300) # Crop the image cropped_img = img.crop(crop_region) # Save the cropped image cropped_img.save('cropped_image.jpg')

  2. "Python PIL crop and save image"

    • Description: This query focuses on both cropping and saving an image in a single operation.
    from PIL import Image # Open an image file img = Image.open('image.jpg') # Define the cropping region (left, upper, right, lower) crop_region = (100, 100, 300, 300) # Crop and save the image img.crop(crop_region).save('cropped_image.jpg')

  3. "Python PIL crop image without resizing"

    • Description: Sometimes users want to crop without changing the image's size. This code snippet illustrates how to do that.
    from PIL import Image # Open an image file img = Image.open('image.jpg') # Define the cropping region (left, upper, right, lower) crop_region = (100, 100, 300, 300) # Crop the image without resizing cropped_img = img.crop(crop_region) # Save the cropped image cropped_img.save('cropped_image.jpg')

  4. "Python PIL crop image and retain original"

    • Description: This query is about cropping an image while retaining the original. It's useful when users want to keep both versions.
    from PIL import Image # Open an image file img = Image.open('image.jpg') # Define the cropping region (left, upper, right, lower) crop_region = (100, 100, 300, 300) # Crop the image cropped_img = img.crop(crop_region) # Save the cropped image cropped_img.save('cropped_image.jpg') # Optionally, save the original image img.save('original_image.jpg')

  5. "Python PIL crop image by percentage"

    • Description: This query aims to crop an image using percentage values rather than specific pixel coordinates.
    from PIL import Image # Open an image file img = Image.open('image.jpg') # Get image dimensions width, height = img.size # Define cropping percentages (left, upper, right, lower) crop_percentages = (0.25, 0.25, 0.75, 0.75) # Convert percentages to pixel values crop_region = tuple(int(p * dim) for p, dim in zip(crop_percentages, (width, height))) # Crop the image cropped_img = img.crop(crop_region) # Save the cropped image cropped_img.save('cropped_image.jpg')

  6. "Python PIL crop image from center"

    • Description: Users often search for how to crop an image from its center. This code snippet demonstrates that.
    from PIL import Image # Open an image file img = Image.open('image.jpg') # Get image dimensions width, height = img.size # Define the cropping dimensions (left, upper, right, lower) crop_width = crop_height = 200 left = (width - crop_width) / 2 upper = (height - crop_height) / 2 right = (width + crop_width) / 2 lower = (height + crop_height) / 2 # Crop the image from center cropped_img = img.crop((left, upper, right, lower)) # Save the cropped image cropped_img.save('cropped_image.jpg')

  7. "Python PIL crop image by aspect ratio"

    • Description: Sometimes users want to maintain a specific aspect ratio when cropping. This code snippet helps achieve that.
    from PIL import Image # Open an image file img = Image.open('image.jpg') # Get image dimensions width, height = img.size # Define desired aspect ratio aspect_ratio = 4 / 3 # Calculate new height while maintaining aspect ratio new_height = int(width / aspect_ratio) # Define cropping region (left, upper, right, lower) crop_region = (0, 0, width, new_height) # Crop the image by aspect ratio cropped_img = img.crop(crop_region) # Save the cropped image cropped_img.save('cropped_image.jpg')

  8. "Python PIL crop image and resize"

    • Description: Users often need to crop and resize images simultaneously. This code snippet demonstrates that process.
    from PIL import Image # Open an image file img = Image.open('image.jpg') # Define the cropping region (left, upper, right, lower) crop_region = (100, 100, 300, 300) # Define the desired output size output_size = (200, 200) # Crop and resize the image cropped_resized_img = img.crop(crop_region).resize(output_size) # Save the cropped and resized image cropped_resized_img.save('cropped_resized_image.jpg')

  9. "Python PIL crop image with transparent background"

    • Description: This query relates to cropping an image while preserving transparency, typically useful for PNG images with transparent regions.
    from PIL import Image # Open an image file with transparency img = Image.open('image.png') # Define the cropping region (left, upper, right, lower) crop_region = (100, 100, 300, 300) # Crop the image while preserving transparency cropped_img = img.crop(crop_region).convert('RGBA') # Save the cropped image with transparency cropped_img.save('cropped_transparent_image.png')

  10. "Python PIL crop circular image"

    • Description: Sometimes users want to crop an image into a circular shape. This code snippet demonstrates how to achieve that effect.
    from PIL import Image, ImageDraw # Open an image file img = Image.open('image.jpg') # Define the dimensions of the circular crop crop_diameter = min(img.size) crop_region = (0, 0, crop_diameter, crop_diameter) # Create a mask for the circular crop mask = Image.new('L', img.size, 0) draw = ImageDraw.Draw(mask) draw.ellipse(crop_region, fill=255) # Apply the circular mask to the image circular_cropped_img = Image.composite(img, Image.new('RGB', img.size, (255, 255, 255)), mask) # Save the circular cropped image circular_cropped_img.save('circular_cropped_image.jpg')

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