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Image manipulation written like well known QuerySet operations

Project description

With ImageQuery you are able to write image manipulations without needing
to learn some low-level API for the most use cases. It allows you to:
* simple manipulation like rescaling
* combining images
* handling text (note: fonts must be available locally)
* even more like creating drop shadows (using the alpha mask)

ImageQuery basicly provides an API similar to the well known QuerySet API,
which means:
* Most methods just return another ImageQuery
* Every bit of your image manipulation chain can be used/saved
* Image manipulations are lazy, they are only evaluated when needed

Some examples:

# load the image
iq = ImageQuery('some/file.png')
# scale it to 100x200 max
iq = iq.scale(100, 200)'scaled/version.png')
# save the scaled version including a simple watermark
# note: this does not chenge "iq"
iq.paste('watermark.png', 'center', 'center').save('watermarked/version.png')
# create a grayscale version (without watermark of course)
iq = iq.grayscale()'scaled_grayscale/version.png')

In addition ImageQuery provides some nice tools to make handling images
even more easy:
* support for Django storage API
* base class to manage multiple image formats
* included template tags (using formats) and filters (lowlevel)

Project details

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