Image Process
let you automate the processing of images based on their
class attribute. Use this plugin to minimize the overall page weight
and to save you a trip to Gimp or Photoshop each time you include an
image in your post.
Image Process
also makes it easy to create responsive images using
the new HTML5 srcset
attribute and <picture>
tag. It does this
by generating multiple derivative images from one or more sources.
Image Process
will not overwrite your original images.
Image Process
requires Beautiful Soup and Pillow. Both can be installed
with pip:
pip install pillow beautifulsoup4
If you encounter errors while processing JPEG files, you may need to install the JPEG development library:
pip uninstall pillow
apt-get install libjpeg-dev
pip install pillow
Image Process
scans your content for <img>
tags with special
classes. It then maps the classes to a set of image processing
instructions, computes new images and modifies HTML code according to
the instructions.
The first step in using this module is to define some image
transformations in your Pelican configuration file. Transformations
are defined in the IMAGE_PROCESS
dictionary, mapping a
transformation name to a list of operations. There are three kinds of
transformations: image replacement, responsive image and picture set.
The simplest image processing will replace the original image by a new, transformed image computed from the original. You may use this, for example, to ensure that all images are of the same size, or to compute a thumbnail from a larger image:
IMAGE_PROCESS = {
'article-image': ["scale_in 300 300"],
'thumb': ["crop 0 0 50% 50%", "scale_out 150 150", "crop 0 0 150 150"],
}
These transformations tell Image process
to transform the image
referred by the src
attribute of an <img>
according to the
list of operations specified and replace the src
attribute by the
URL of the transformed image.
For consistency with the other type of transformations described below, there is an alternative syntax for the processing instructions:
IMAGE_PROCESS = {
'thumb': {'type': 'image',
'ops': ["crop 0 0 50% 50%", "scale_out 150 150", "crop 0 0 150 150"],
}
'article-image': {'type': 'image',
'ops': ["scale_in 300 300"],
}
}
To apply image replacement to the images in your articles, you must
add them the special class image-process-
followed by the name of
the transformation you wish to apply. For example, let's pretend you
have defined the transformation described above. If you write your
content in HTML or in Markdown, do something like this:
<img class="image-process-article-image" src="/images/pelican.jpg"/>
In reStructuredText, use the :class:
attribute of the image
or
the figure
directive:
.. image:: /images/pelican.png
:class: image-process-article-image
.. figure:: /images/pelican.png
:class: image-process-article-image
Note
The reStructuredText reader will convert underscores (_
) to
dashes (-
) in class names. To make sure everything runs
smoothly, do not use underscores in your transformation names.
You can use Image process
to automatically generate a set of
images that will be selected for display by browsers according to the
viewport width or according to the device resolution. To accomplish
this, Image process
will add a srcset
attribute (and maybe a
media
and a sizes
attribute) to the <img>
.
Note that the srcset
syntax is currently not supported by all
browsers. However, browsers who do not support the srcset
attribute will fall back to a default image specified by the
still-present src
attribute. See Can I Use for the current
status on srcset
support.
HTML5 supports two types of responsive image set. The first one is
device-pixel-ratio-based, selecting higher resolution images for higher
resolution devices; the second one is viewport-based, selecting
images according to the viewport width. If you want to know more about
HTML5 responsive images, I recommend this article for a gentle
introduction to the srcset
and <picture>
syntaxes.
To tell Image process
to generate a responsive image, add a
responsive-image
transformation to your your IMAGE_PROCESS
dictionnary, with the following syntax:
IMAGE_PROCESS = {
'crisp': {'type': 'responsive-image',
'srcset': [('1x', ["scale_in 800 600 True"]),
('2x', ["scale_in 1600 1200 True"]),
('4x', ["scale_in 3200 2400 True"]),
],
'default': '1x',
},
'large-photo': {'type': 'responsive-image',
'sizes': '(min-width: 1200px) 800px, (min-width: 992px) 650px, \
(min-width: 768px) 718px, 100vw',
'srcset': [('600w', ["scale_in 600 450 True"]),
('800w', ["scale_in 800 600 True"]),
('1600w', ["scale_in 1600 1200 True"]),
],
'default': '800w',
},
}
The crisp
transformation is an example of a transformation
enabling device-pixel-ratio-based selection. The srcset
is a list
of tuple, each tuple containing the image description ('1x'
,
'2x'
, etc.) and the list of operations to generate the derivative
image from the original image (the original image is the value of the
src
attribute of the <img>
). Image descriptions are hints
about the resolution of the associated image and must have the suffix
x
. The default
names the image to use to replace the src
attribute of the image. This is the image that will be displayed by
browsers that do not support the srcset
syntax.
The large-photo
transformation is an example of a transformation
enabling viewport-based selection. The sizes
contains a rule to
compute the width of the displayed image from the width of the
viewport. Once the browser knows the image width, it will select an
image source from the srcset
. The srcset
is a list of tuple,
each tuple containing the image description ('600w'
, '800w'
,
etc.) and the list of operations to generate the derivative image from
the original image (the original image is the value of the src
attribute of the <img>
). Image descriptions are hints about the
width in pixels of the associated image and must have the suffix
w
. The default
names the image to use to replace the src
attribute of the image. This is the image that will be displayed by
browsers that do not support the srcset
syntax.
In the two examples above, the default
is a string referring to
one of the images in the srcset
. However, the default
value
could also be a list of operations to generate a different derivative
image.
To make the images in your article responsives, you must add them the
special class image-process-
followed by the name of the
transformation you wish to apply, exactly like you would do for the
image replacement case, described above. So, if you write your content
in HTML or in Markdown, do something like this:
<img class="image-process-large-photo" src="/images/pelican.jpg"/>
In reStructuredText, use the :class:
attribute of the image
of
the figure
directive:
.. image:: /images/pelican.png
:class: image-process-large-photo
.. figure:: /images/pelican.png
:class: image-process-large-photo
Image process
can be use to generate the images used by a
<picture>
tag. The <picture>
syntax allows for more
flexibility in providing a choice of image to the browser. Again, if
you want to know more about HTML5 responsive images, see this
article for a gentle introduction to the srcset
and
<picture>
syntaxes.
To tell Image process
to generate the images for a <picture>
,
add a picture
entry to your IMAGE_PROCESS
dictionnary with the
following syntax:
IMAGE_PROCESS = {
'example-pict': {'type': 'picture',
'sources': [{'name': 'default',
'media': '(min-width: 640px)',
'srcset': [('640w', ["scale_in 640 480 True"]),
('1024w', ["scale_in 1024 683 True"]),
('1600w', ["scale_in 1600 1200 True"]),
],
'sizes': '100vw',
},
{'name': 'source-1',
'srcset': [('1x', ["crop 100 100 200 200"]),
('2x', ["crop 100 100 300 300"]),
]
}
],
'default': ('default', '640w'),
},
}
Each of the sources
entry is very similar to the responsive
image
describe above. Here, each source must have a name
, which
will be used to find the URL of the original image for this source in
your article. The source may also have a media
, which contains a
rule used by the browser to select the active source. The default
names the image to use to replace the src
attribute of the
<img>
inside the <picture>
. This is the image that will be
displayed by browsers that do not support the <picture>
syntax. In
this example, it will use the image 640w
from the source
default
. A list of operations could have been specified instead of
640w
.
To generate a responsive <picture>
for the images in your
articles, you must add to your article a pseudo <picture>
tag that
looks like this:
<picture>
<source class="source-1" src="/images/pelican-closeup.jpg"></source>
<img class="image-process-example-pict" src="/images/pelican.jpg"/>
</picture>
Each <source>
tag maps a source name (the class
attribute) to
a file (the src
attribute). The <img>
must have the special
class image-process-
followed by the name of the transformation
you wish to apply. The file referenced by the src
attribute of the
<img>>
will be used as the special default
source in your
transformation definition.
The pseudo <picture>
tag above can be used in articles written in
HTML, Markdown or restructuredText. In reStructuredText, however, you
can also use the figure
directive to generate a <picture>
. The
figure image file will be used as the special default
source;
other sources must be added in the the legend section of the
figure
as image
directives. The figure class must be
image-process-
followed by the name of the transformation you wish
to apply, while the other images must have two classes:
image-process
and the name of the source they provide an image
for:
.. figure:: /images/pelican.png
:class: image-process-large-photo
Test picture
.. image:: /images/pelican-closeup.jpg
:class: image-process source-1
The images in the legend section that are used as source for the
<picture>
will be removed from the image legend, so that they do
not appear in your final article.
Available operations for transformations are:
- crop top left right bottom
- Crop the image to the box (left, top)-(right, bottom). Values
can be absolute (a number) or relative to the size of the image (a
number followed by a percent sign
%
). - flip_horizontal
- Flip the image horizontally.
- flip_vertical
- Flip the image vertically.
- grayscale
- Convert the image to grayscale.
- resize width height
- Resize the image. This operation does not preserve the image aspect
ratio. Values can be absolute (a number) or relative to the
size of the image (a number followed by a percent sign
%
). - rotate degree
- Rotate the image.
- scale_in width height upscale
- Resize the image. This operation preserves the image aspect ratio
and the resulting image will be no larger than width x
height. Values can be absolute (a number) or relative to the
size of the image (a number followed by a percent sign
%
). If upscale is False, smaller images will not be enlarged. - scale_out width height upscale
- Resize the image. This operation preserves the image aspect ratio
and the resulting image will be no smaller than width x
height. Values can be absolute (a number) or relative to the
size of the image (a number followed by a percent sign
%
). If upscale is False, smaller images will not be enlarged. - blur
- Apply the
pillow.ImageFilter.BLUR
filter to the image. - contour
- Apply the
pillow.ImageFilter.CONTOUR
filter to the image. - detail
- Apply the
pillow.ImageFilter.DETAIL
filter to the image. - edge_enhance
- Apply the
pillow.ImageFilter.EDGE_ENHANCE
filter to the image. - edge_enhance_more
- Apply the
pillow.ImageFilter.EDGE_ENHANCE_MORE
filter to the image. - emboss
- Apply the
pillow.ImageFilter.EMBOSS
filter to the image. - find_edges
- Apply the
pillow.ImageFilter.FIND_EDGES
filter to the image. - smooth
- Apply the
pillow.ImageFilter.SMOOTH filter
to the image. - smooth_more
- Apply the
pillow.ImageFilter.SMOOTH_MORE
filter to the image. - sharpen
- Apply the
pillow.ImageFilter.SHARPEN
filter to the image.
You can also define your own operations; the only requirement is that
your operation should be a callable object expecting a pillow.Image
as
its first parameter and it should return the transformed image:
def crop_face(image):
"""Detect face in image and crop around it."""
# TODO: Fancy algorithm.
return image
IMAGE_PROCESS = {
'face-thumbnail': [crop_face, "scale_out 150 150"]
}
By default, the new images will be stored in a directory named
derivative/<TRANSFORMATION_NAME>
in the output folder at
the same location as the original image.
For example if the original image is located in
the content/images
folder. The computed images will be stored
in the output/images/derivative/<TRANSFORMATION_NAME>
.
All the transformations are done in the output directory in order
to avoid confusion with the source files or if we test multiple
transformations.
You can replace derivative
by something else using the
IMAGE_PROCESS_DIR
setting in your Pelican configuration file:
IMAGE_PROCESS_DIR = 'derivees'
If the transformed image already exists and is newer than the original
image, the plugin assumes that it should not recompute it again. You
can force the plugin to recompute all images by setting
IMAGE_PROCESS_FORCE
to True
in your Pelican configuration
file.
IMAGE_PROCESS_FORCE = True
Pelican image in test data by Jon Sullivan. Source: http://www.pdphoto.org/PictureDetail.php?mat=&pg=5726