improve py docs

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John Cupitt 2015-10-07 12:20:22 +01:00
parent 2b2bf30fbd
commit a7766b28b3
1 changed files with 149 additions and 39 deletions

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@ -46,13 +46,17 @@
<listitem>
<para>
If <code>.new_from_file()</code> fails, the vips overrides
have not been found. Make sure <code>Vips.py</code> is in
your system overrides area.
</para>
</listitem>
If <code>.new_from_file()</code> fails, the vips overrides
have not been found. Make sure <code>Vips.py</code> is in
your system overrides area.
</para>
</listitem>
</orderedlist>
</para>
</refsect3>
<refsect3 id="python-example">
<title>Example program</title>
<para>
Here's a complete example program:
@ -75,8 +79,16 @@ im = im.conv(mask)
im.write_to_file(sys.argv[2])
</programlisting>
</para>
When Python executes the import line:
<para>
Reading this code, the first interesting line is:
<programlisting language="Python">
from gi.repository import Vips
</programlisting>
When Python executes the import line it performs the following steps:
</para>
<orderedlist>
@ -133,7 +145,13 @@ im.write_to_file(sys.argv[2])
</orderedlist>
<para>
The next line loads the input image. You can append
The next line is:
<programlisting language="Python">
im = Vips.Image.new_from_file(sys.argv[1])
</programlisting>
This loads the input image. You can append
load options to the argument list as keyword arguments, for example:
<programlisting language="Python">
@ -149,16 +167,32 @@ im = Vips.Image.new_from_file(sys.argv[1], access = Vips.Access.SEQUENTIAL)
</para>
<para>
The next line crops 100 pixels off every edge. Try
<code>help(im.extract_area)</code> and the C API docs for
vips_extract_area() for details. You can use <code>.crop()</code> as a
synonym, if you like. <code>im.width</code> gets the image width in
pixels, see <code>help(Vips.Image)</code> and vips_image_get_width()
The next line is:
<programlisting language="Python">
im = im.extract_area(100, 100, im.width - 200, im.height - 200)
</programlisting>
The arguments are left, top, width, height, so this crops 100 pixels off
every edge. Try <code>help(im.extract_area)</code> and the C API docs
for vips_extract_area() for details. You can use <code>.crop()</code>
as a synonym, if you like.
</para>
<para>
<code>im.width</code> gets the image width
in pixels, see <code>help(Vips.Image)</code> and vips_image_get_width()
and friends for a list of the other getters.
</para>
<para>
The <code>similarity</code> line shrinks by 10%. By default it uses
The next line:
<programlisting language="Python">
im = im.similarity(scale = 0.9)
</programlisting>
shrinks by 10%. By default it uses
bilinear interpolation, use <code>interpolate</code> to pick another
interpolator, for example:
@ -166,10 +200,22 @@ im = Vips.Image.new_from_file(sys.argv[1], access = Vips.Access.SEQUENTIAL)
im = im.similarity(scale = 0.9, interpolate = Vips.Interpolate.new("bicubic"))
</programlisting>
see vips_similarity() for full documentation. The similarity operator
will not give good results for large resizees (more than a factor of
two). See vips_resize() if you need to make a large change.
</para>
<para>
<code>.new_from_array()</code> makes an image from a 2D array. The
Next:
<programlisting language="Python">
mask = Vips.Image.new_from_array([[-1, -1, -1],
[-1, 16, -1],
[-1, -1, -1]], scale = 8)
im = im.conv(mask)
</programlisting>
makes an image from a 2D array, then convolves with that. The
<code>scale</code> keyword argument lets you set a divisor for
convolution, handy for integer convolutions. You can set
<code>offset</code> as well. See vips_conv() for details on the vips
@ -177,11 +223,99 @@ im = im.similarity(scale = 0.9, interpolate = Vips.Interpolate.new("bicubic"))
</para>
<para>
Finally, <code>.write_to_file()</code> sends the image back to the
Finally,
<programlisting language="Python">
im.write_to_file(sys.argv[2])
</programlisting>
sends the image back to the
filesystem. There's also <code>.write_to_buffer()</code> to make a
string containing the formatted image, and <code>.write()</code> to
write to another image.
</para>
<para>
As with <code>.new_from_file()</code> you can append save options as
keyword arguments. For example:
<programlisting language="Python">
im.write_to_file("test.jpg", Q = 90)
</programlisting>
will write a JPEG image with quality set to 90. See the various save
operations for a list of all the save options, for example
vips_jpegsave().
</para>
</refsect3>
<refsect3 id="python-doc">
<title>Getting help</title>
<para>
Try <code>help(Vips)</code> for everything,
<code>help(Vips.Image)</code> for something slightly more digestible, or
something like <code>help(Vips.Image.black)</code> for help on a
specific class member.
</para>
<para>
You can't get help on dynamically bound member functions like
<code>.add()</code> this way. Instead, make an image and get help
from that, for example:
<programlisting language="Python">
image = Vips.Image.new_from_file("x.jpg")
help(image.add)
</programlisting>
And you'll get a summary of the operator's behaviour and how the
arguments are represented in Python.
</para>
<para>
The API docs has a <link href="function-list">handy table of all vips
operations</link>, if you want to find out how to do something, try
searching that.
</para>
<para>
The <command>vips</command> command can be useful too. For example, in a
terminal you can type <command>vips jpegsave</command> to get a
summary of an operation:
<programlisting language="Python">
$ vips jpegsave
save image to jpeg file
usage:
jpegsave in filename
where:
in - Image to save, input VipsImage
filename - Filename to save to, input gchararray
optional arguments:
Q - Q factor, input gint
default: 75
min: 1, max: 100
profile - ICC profile to embed, input gchararray
optimize-coding - Compute optimal Huffman coding tables, input gboolean
default: false
interlace - Generate an interlaced (progressive) jpeg, input gboolean
default: false
no-subsample - Disable chroma subsample, input gboolean
default: false
trellis-quant - Apply trellis quantisation to each 8x8 block, input gboolean
default: false
overshoot-deringing - Apply overshooting to samples with extreme values, input gboolean
default: false
optimize-scans - Split the spectrum of DCT coefficients into separate scans, input gboolean
default: false
strip - Strip all metadata from image, input gboolean
default: false
background - Background value, input VipsArrayDouble
operation flags: sequential-unbuffered nocache
</programlisting>
</para>
</refsect3>
<refsect3 id="python-basics">
@ -344,30 +478,6 @@ result_image = image1.bandjoin([image2, 255])
</para>
</refsect3>
<refsect3 id="python-doc">
<title>Automatic docstrings</title>
<para>
Try <code>help(Vips)</code> for everything,
<code>help(Vips.Image)</code> for something slightly more digestible, or
something like <code>help(Vips.Image.black)</code> for help on a
specific class member.
</para>
<para>
You can't get help on dynamically bound member functions like
<code>.add()</code> this way. Instead, make an image and get help
from that, for example:
<programlisting language="Python">
image = Vips.Image.new_from_file("x.jpg")
help(image.add)
</programlisting>
And you'll get a summary of the operator's behaviour and how the
arguments are represented in Python. Use the C API docs for more detail.
</para>
</refsect3>
<refsect3 id="python-exceptions">
<title>Exceptions</title>
<para>