App Engine provides the ability to manipulate image data using a dedicated Images service. The Images service can resize, rotate, flip, and crop images; it can composite multiple images into a single image; and it can convert image data between several formats. It can also enhance photographs using a predefined algorithm. The API can also provide information about an image, such as its format, width, height, and a histogram of color values.
The Images service can accept image data directly from the app, or it can use a Blobstore value or a Google Cloud Storage value. When the source is the Blobstore or Google Cloud Storage, the size of the image to transform can be up to the maximum size of a Blobstore value or Google Cloud Storage value. However, the transformed image is returned directly to the app, and so must be no larger than 32 megabytes. This is potentially useful for making thumbnail images of photographs uploaded to the Blobstore or Google Cloud Storage by users.
- Transforming images in Python
- Available image transformations
- Image formats
- Transforming images from the Blobstore
- Images and the development server
- Quotas and limits
Transforming images in Python
The following example loads image data from the datastore, then uses the Images service to resize it and return it to the browser as a JPEG image.
import webapp2 from google.appengine.api import images from google.appengine.ext import ndb class Photo(ndb.Model): title = ndb.StringProperty() full_size_image = ndb.BlobProperty() class Thumbnailer(webapp2.RequestHandler): def get(self): if self.request.get("id"): photo = Photo.get_by_id(int(self.request.get("id"))) if photo: img = images.Image(photo.full_size_image) img.resize(width=80, height=100) img.im_feeling_lucky() thumbnail = img.execute_transforms(output_encoding=images.JPEG) self.response.headers['Content-Type'] = 'image/jpeg' self.response.out.write(thumbnail) return # Either "id" wasn't provided, or there was no image with that ID # in the datastore. self.error(404)
Available image transformations
The Images service can resize, rotate, flip, and crop images, and enhance photographs. It can also composite multiple images into a single image.
You can resize the image while maintaining the same aspect ratio. Neither the width nor the height of the resized image can exceed 4000 pixels.
You can rotate the image in 90 degree increments.
You can flip the image horizontally.
You can flip the image vertically.
You can crop the image with a given bounding box.
I'm Feeling Lucky
The "I'm Feeling Lucky" transform enhances dark and bright colors in an image and adjusts both color and contrast to optimal levels.
The service accepts image data in the JPEG, PNG, WEBP, GIF (including animated GIF), BMP, TIFF and ICO formats.
It can return transformed images in the JPEG, WEBP and PNG formats. If the input format and the output format are different, the service converts the input data to the output format before performing the transformation.
Transforming images from the Blobstore
The Images service can use a value from the Blobstore as the source for a transformation. You have two ways to transform images from the Blobstore:
- Using the Image() class allows you to perform simple image transformations, such as crop, flip, and rotate.
- Using get_serving_url() allows you to dynamically resize and crop images, so you don't need to store different image sizes on the server. This method returns a URL that serves the image, and transformations to the image are encoded in this URL.
Using the Image() Class
You can transform images from the Blobstore as long as the image size is smaller than the maximum Blobstore value size. Note, however, that the result of the transformation is returned directly to the app, and must therefore not exceed the API response limit of 32 megabytes. You can use this to make thumbnail images of photographs uploaded by users.
To transform an image from the Blobstore in Python, instead of setting the
image_data argument of the Image constructor with the image data, set the
blob_key argument to the Blobstore key whose value is the image. The rest of the API behaves as expected. The
execute_transforms() method returns the result of the transforms, or throws an
LargeImageError if the result is larger than the maximum size of 32 megabytes.
import webapp2 from google.appengine.api import images from google.appengine.ext import blobstore class Thumbnailer(webapp2.RequestHandler): def get(self): blob_key = self.request.get("blob_key") if blob_key: blob_info = blobstore.get(blob_key) if blob_info: img = images.Image(blob_key=blob_key) img.resize(width=80, height=100) img.im_feeling_lucky() thumbnail = img.execute_transforms(output_encoding=images.JPEG) self.response.headers['Content-Type'] = 'image/jpeg' self.response.out.write(thumbnail) return # Either "blob_key" wasn't provided, or there was no value with that ID # in the Blobstore. self.error(404)
The get_serving_url() method allows you to generate a fixed, dedicated URL for an image that is stored in Blobstore.
The generated URL uses highly-optimized image serving infrastructure that is separate from your application. Because it's served separately the serving URL does not incure any dynamic load on your application which can be very cost effective. The URL returned by this method is always public accessable bot not guessable.
If you wish to stop serving the URL, delete it using the delete_serving_url() function.
The method returns a URL encoded with the specified size and crop arguments. If you do not specify any arguments, the method returns the default URL for the image, for example:
You can resize and crop the image dynamically by specifying the arguments in the URL. The available arguments are:
xxis an integer from 0–1600 representing the length, in pixels, of the image's longest side. For example, adding
=s32resizes the image so its longest dimension is 32 pixels.
=sxx-cwhere xx is an integer from 0–1600 representing the cropped image size in pixels, and
-ctells the system to crop the image.
# Resize the image to 32 pixels (aspect-ratio preserved) http://lhx.ggpht.com/randomStringImageId=s32 # Crop the image to 32 pixels http://lhx.ggpht.com/randomStringImageId=s32-c
Images and the development server
The development server uses your local machine to perform the capabilities of the Images service.
The Python development server uses the Python Imaging Library (PIL) to simulate the Image service. This library is not included with the Python standard library or the SDK, and must be installed separately. The pillow fork also works. The WEBP image format is only supported if a suitable PIL decoder plugin has been installed.
Quotas and limits
Each Images service request counts toward the Image Manipulation API Calls quota. An app can perform multiple transformations of an image in a single API call.
Data sent to the Images service counts toward the Data Sent to (Images) API quota. Data received from the Images service counts toward the Data Received from (Images) API quota.
Each transformation of an image counts toward the Transformations Executed quota.
In addition to quotas, the following limits apply to the use of the Images service:
|maximum data size of image sent to service||32 megabytes|
|maximum data size of image received from service||32 megabytes|
|maximum size of image sent or received from service||50 megapixels|