App Engine Cropping to a Specific Width and Height
I need to resize and crop an image to a specific width and height. I was able to construct a method that will create a square thumbnail, but I'm unsure on how to apply this, when the desired thumbnail is not square.
def rescale(data, width, height):
"""Rescale the given image, optionally cropping it to make sure the result image has the specified width and height."""
from google.appengine.api import images
new_width = width
new_height = height
img = images.Image(data)
org_width, org_height = img.width, img.height
# We must determine if the image is portrait or landscape
# Landscape
if org_width > org_height:
# With the Landscape image we want the crop to be centered. We must find the
# height to width ratio of the image and Convert the denominater to a float
# so that ratio will be a decemal point. The ratio is the percentage of the image
# that will remain.
ratio = org_height / float(org_width)
# To find the percentage of the image that will be removed we subtract the ratio
# from 1 By dividing this number by 2 we find the percentage that should be
# removed from each side this is also our left_x coordinate
left_x = (1- ratio) / 2
# By subtract the left_x from 1 we find the right_x coordinate
right_x = 1 - left_x
# crop(image_data, left_x, top_y, right_x, bottom_y), output_encoding=images.PNG)
img.crop(left_x, 0.0, right_x, 1.0)
# resize(image_data, width=0, height=0, output_encoding=images.PNG)
img.resize(height=height)
# Portrait
elif org_width < org_height:
ratio = org_width / float(org_height)
# crop(image_data, left_x, top_y, right_x, bottom_y), output_encoding=images.PNG)
img.crop(0.0, 0.0, 1.0, ratio)
# resize(image_data, width=0, height=0, output_encoding=images.PNG)
img.resize(width=witdh)
thumbnail = img.execute_transforms()
return thumbnail
If there is a better way to do this please let me know. Any help would be greatly appreciated.
Here's a diagram expl开发者_高级运维aining the desired process.
Thanks,
Kyle
I had a similar problem (your screenshot was very useful). This is my solution:
def rescale(img_data, width, height, halign='middle', valign='middle'):
"""Resize then optionally crop a given image.
Attributes:
img_data: The image data
width: The desired width
height: The desired height
halign: Acts like photoshop's 'Canvas Size' function, horizontally
aligning the crop to left, middle or right
valign: Verticallly aligns the crop to top, middle or bottom
"""
image = images.Image(img_data)
desired_wh_ratio = float(width) / float(height)
wh_ratio = float(image.width) / float(image.height)
if desired_wh_ratio > wh_ratio:
# resize to width, then crop to height
image.resize(width=width)
image.execute_transforms()
trim_y = (float(image.height - height) / 2) / image.height
if valign == 'top':
image.crop(0.0, 0.0, 1.0, 1 - (2 * trim_y))
elif valign == 'bottom':
image.crop(0.0, (2 * trim_y), 1.0, 1.0)
else:
image.crop(0.0, trim_y, 1.0, 1 - trim_y)
else:
# resize to height, then crop to width
image.resize(height=height)
image.execute_transforms()
trim_x = (float(image.width - width) / 2) / image.width
if halign == 'left':
image.crop(0.0, 0.0, 1 - (2 * trim_x), 1.0)
elif halign == 'right':
image.crop((2 * trim_x), 0.0, 1.0, 1.0)
else:
image.crop(trim_x, 0.0, 1 - trim_x, 1.0)
return image.execute_transforms()
You can specify both height
and width
parameters to resize
-- it will not change the aspect ratio (you cannot do that with GAE's images
module), but it will ensure that each of the two dimensions is <=
the corresponding value you specify (in fact, one will be exactly equal to the value you specify, the other one will be <=
).
I'm not sure why you're cropping first and resizing later -- it seems like you should do things the other way around... resize so that as much of the original image "fits" as is feasible, then crop to ensure exact resulting dimension. (So you wouldn't use the original provided values of height and width for the resize -- you'd scale them up so that none of the resulting image is "wasted" aka "blank", if I understand your requirements correctly). So maybe I'm not understanding exactly what you require -- could you provide an example (URLs to an image as it looks before the processing, to how it should look after the processing, and details of the parameters you'd be passing)?
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