CustomUploadAndFilters: imaging.py

import Image

def fit(file_path, max_width=None, max_height=None, save_as=None):
    # Open file
    img = Image.open(file_path)
    
    # Store original image width and height
    w, h = img.size
    
    # Replace width and height by the maximum values
    w = int(max_width or w)
    h = int(max_height or h)
    
    # Proportinally resize
    img.thumbnail((w, h), Image.ANTIALIAS)
    
    # Save in (optional) 'save_as' or in the original path
    img.save(save_as or file_path)
    
    return True
    
# def fit

def fit_crop(file_path, max_width=None, max_height=None, save_as=None):
    # Open file
    img = Image.open(file_path)
    
    # Store original image width and height
    w, h = float(img.size[0]), float(img.size[1])
    
    # Use the original size if no size given
    max_width = float(max_width or w)
    max_height = float(max_height or h)
    
    # Find the closest bigger proportion to the maximum size
    scale = max(max_width / w, max_height / h)
    
    # Image bigger than maximum size?
    if (scale < 1):
        # Calculate proportions and resize
        w = int(w * scale)
        h = int(h * scale)
        img = img.resize((w, h), Image.ANTIALIAS)
    #
    
    # Avoid enlarging the image
    max_width = min(max_width, w)
    max_height = min(max_height, h)
    
    # Define the cropping box
    left = int((w - max_width) / 2)
    top = int((h - max_height) / 2)
    right = int(left + max_width)
    bottom = int(top + max_height)
    
    # Crop to fit the desired size
    img = img.crop( (left, top, right, bottom) )
    
    # Save in (optional) 'save_as' or in the original path
    img.save(save_as or file_path)
    
    return True
    
# def fit_crop