Image Processors¶
Easy thumbnails generates thumbnail images by passing the source image through a series of image processors. Each processor may alter the image, often dependent on the options it receives.
This makes the system very flexible, as the processors an image passes through
can be defined in THUMBNAIL_PROCESSORS
and even overridden by an individual easy_thumbnails.files.Thumbnailer
(via the thumbnail_processors
attribute).
Built-in processors¶
Following is a list of the built-in processors, along with the thumbnail options which they use.
-
easy_thumbnails.processors.
autocrop
(im, autocrop=False, **kwargs)¶ Remove any unnecessary whitespace from the edges of the source image.
This processor should be listed before
scale_and_crop()
so the whitespace is removed from the source image before it is resized.- autocrop
- Activates the autocrop method for this image.
-
easy_thumbnails.processors.
background
(im, size, background=None, **kwargs)¶ Add borders of a certain color to make the resized image fit exactly within the dimensions given.
- background
- Background color to use
-
easy_thumbnails.processors.
colorspace
(im, bw=False, replace_alpha=False, **kwargs)¶ Convert images to the correct color space.
A passive option (i.e. always processed) of this method is that all images (unless grayscale) are converted to RGB colorspace.
This processor should be listed before
scale_and_crop()
so palette is changed before the image is resized.- bw
- Make the thumbnail grayscale (not really just black & white).
- replace_alpha
- Replace any transparency layer with a solid color. For example,
replace_alpha='#fff'
would replace the transparency layer with white.
-
easy_thumbnails.processors.
filters
(im, detail=False, sharpen=False, **kwargs)¶ Pass the source image through post-processing filters.
- sharpen
- Sharpen the thumbnail image (using the PIL sharpen filter)
- detail
- Add detail to the image, like a mild sharpen (using the PIL
detail
filter).
-
easy_thumbnails.processors.
scale_and_crop
(im, size, crop=False, upscale=False, zoom=None, target=None, **kwargs)¶ Handle scaling and cropping the source image.
Images can be scaled / cropped against a single dimension by using zero as the placeholder in the size. For example,
size=(100, 0)
will cause the image to be resized to 100 pixels wide, keeping the aspect ratio of the source image.- crop
Crop the source image height or width to exactly match the requested thumbnail size (the default is to proportionally resize the source image to fit within the requested thumbnail size).
By default, the image is centered before being cropped. To crop from the edges, pass a comma separated string containing the
x
andy
percentage offsets (negative values go from the right/bottom). Some examples follow:crop="0,0"
will crop from the left and top edges.crop="-10,-0"
will crop from the right edge (with a 10% offset) and the bottom edge.crop=",0"
will keep the default behavior for the x axis (horizontally centering the image) and crop from the top edge.
The image can also be “smart cropped” by using
crop="smart"
. The image is incrementally cropped down to the requested size by removing slices from edges with the least entropy.Finally, you can use
crop="scale"
to simply scale the image so that at least one dimension fits within the size dimensions given (you may want to use the upscale option too).- upscale
- Allow upscaling of the source image during scaling.
- zoom
- A percentage to zoom in on the scaled image. For example, a zoom of
40
will clip 20% off each side of the source image before thumbnailing. - target
Set the focal point as a percentage for the image if it needs to be cropped (defaults to
(50, 50)
).For example,
target="10,20"
will set the focal point as 10% and 20% from the left and top of the image, respectively. If the image needs to be cropped, it will trim off the right and bottom edges until the focal point is centered.Can either be set as a two-item tuple such as
(20, 30)
or a comma separated string such as"20,10"
.A null value such as
(20, None)
or",60"
will default to 50%.
Custom processors¶
You can replace or leave out any default processor as suits your needs. Following is an explanation of how to create and activate a custom processor.
When defining the
THUMBNAIL_PROCESSORS
setting, remember
that this is the order through which the processors are run. The image received
by a processor is the output of the previous processor.
Create the processor¶
First create a processor like this:
def whizzbang_processor(image, bang=False, **kwargs):
"""
Whizz bang the source image.
"""
if bang:
image = whizz(image)
return image
The first argument for a processor is the source image.
All other arguments are keyword arguments which relate to the list of options
received by the thumbnail generator (including size
and quality
).
Ensure you list all arguments which could be used (giving them a default value
of False
), as the processors arguments are introspected to generate a list
of valid options.
You must also use **kwargs
at the end of your argument list because all
options used to generate the thumbnail are passed to processors, not just the
ones defined.
Whether a processor actually modifies the image or not, they must always return an image.
Use the processor¶
Next, add the processor to
THUMBNAIL_PROCESSORS
in your settings
module:
from easy_thumbnails.conf import Settings as easy_thumbnails_defaults
THUMBNAIL_PROCESSORS = easy_thumbnails_defaults.THUMBNAIL_PROCESSORS + (
'wb_project.thumbnail_processors.whizzbang_processor',
)