housecleaning for 0.7.0 release
Add testing mention of CentOS, windows. Skipping some tests on versions 1.3 and 1.4 Minor doc mods. For whatever stupid reason, np.log2(x) cannot be relied upon to be an integer when x is a power of 2 ON WIN32!!! All hail win32! Better error message if array-style slice other than [:]
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@ -3,14 +3,15 @@ How do I...?
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------------
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... read the lower resolution images?
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=====================================
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Jp2k implements slicing via the :py:meth:`__getitem__` method so
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any lower resolution images in a JPEG 2000 file can easily be
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accessed, for example here's how to retrieve the first sub-image ::
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... read images?
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================
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Jp2k implements slicing via the :py:meth:`__getitem__` method, meaning that
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multiple resolution imagery in a JPEG 2000 file can
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easily be accessed via array-style slicing. For example here's how to
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retrieve a full resolution and first lower-resolution image ::
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>>> import glymur
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>>> jp2file = glymur.data.nemo()
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>>> jp2file = glymur.data.nemo() # just a path to a JPEG2000 file
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>>> jp2 = glymur.Jp2k(jp2file)
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>>> fullres = jp2[:]
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>>> print(fullres.shape)
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@ -19,20 +20,34 @@ accessed, for example here's how to retrieve the first sub-image ::
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>>> print(thumbnail.shape)
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(728, 1296, 3)
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The :py:meth:`read` method gives many more options for other JPEG 2000 features
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such as quality layers.
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The :py:meth:`read` method exposes many more options for other JPEG 2000
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features such as quality layers.
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... write images?
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=================
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So long as the image data can fit entirely into memory, array-style slicing may
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also be used to write JPEG 2000 files.
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>>> import glymur, numpy as np
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>>> jp2 = glymur.Jp2k('zeros.jp2', mode='wb')
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>>> jp2[:] = np.zeros((640, 480), dtype=np.uint8)
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The :py:meth:`write` method exposes many more options for other JPEG 2000
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features. You should have OpenJPEG version 1.5 or more recent before writing
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JPEG 2000 images.
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... display metadata?
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=====================
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There are two ways. From the command line, the script **jp2dump** is
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There are two ways. From the command line, the console script **jp2dump** is
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available. ::
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$ jp2dump /path/to/glymur/installation/data/nemo.jp2
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From within Python, it is as simple as printing the Jp2k object, i.e. ::
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From within Python, the same result is obtained simply by printing the Jp2k
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object, i.e. ::
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>>> import glymur
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>>> jp2file = glymur.data.nemo()
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>>> jp2file = glymur.data.nemo() # just a path to a JP2 file
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>>> jp2 = glymur.Jp2k(jp2file)
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>>> print(jp2)
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File: nemo.jp2
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@ -326,10 +341,10 @@ is currently limited to XML and UUID boxes.
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... create an image with an alpha layer?
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========================================
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OpenJPEG can create JP2 files with more than 3 components (requires
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the development version of OpenJPEG), but by default, any extra components are
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not described as such. In order to do so, we need to rewrap such
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an image in a set of boxes that includes a channel definition box.
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OpenJPEG can create JP2 files with more than 3 components (use version 2.1.0+
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for this), but by default, any extra components are not described
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as such. In order to do so, we need to rewrap such an image in a
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set of boxes that includes a channel definition box.
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This example is based on SciPy example code found at
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http://scipy-lectures.github.io/advanced/image_processing/#basic-manipulations .
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@ -387,7 +402,11 @@ Here's how the Preview application on the mac shows the RGBA image.
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... work with XMP UUIDs?
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========================
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XMP is metadata on steroids.
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`Wikipedia <http://en.wikipedia.org/wiki/Extensible_Metadata_Platform>`_ states
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that "The Extensible Metadata Platform (XMP) is an ISO standard,
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originally created by Adobe Systems Inc., for the creation, processing
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and interchange of standardized and custom metadata for all kinds
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of resources."
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The example JP2 file shipped with glymur has an XMP UUID. ::
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