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https://github.com/wassname/scikit-image.git
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sccolbert
104 lines
3.2 KiB
Python
104 lines
3.2 KiB
Python
__all__ = ['imread', 'imsave', 'imshow', 'show']
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from scikits.image.io._plugins import call as call_plugin
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def imread(fname, as_grey=False, dtype=None, plugin=None, flatten=None,
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**plugin_args):
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"""Load an image from file.
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Parameters
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----------
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fname : string
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Image file name, e.g. ``test.jpg``.
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as_grey : bool
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If True, convert color images to grey-scale. If `dtype` is not given,
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converted color images are returned as 32-bit float images.
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Images that are already in grey-scale format are not converted.
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dtype : dtype, optional
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NumPy data-type specifier. If given, the returned image has this type.
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If None (default), the data-type is determined automatically.
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plugin : str
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Name of plugin to use. By default, the different plugins are
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tried (starting with the Python Imaging Library) until a suitable
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candidate is found.
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Other Parameters
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----------------
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flatten : bool
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Backward compatible keyword, superseded by `as_grey`.
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Returns
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-------
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img_array : ndarray
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The different colour bands/channels are stored in the
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third dimension, such that a grey-image is MxN, an
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RGB-image MxNx3 and an RGBA-image MxNx4.
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Other parameters
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----------------
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plugin_args : keywords
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Passed to the given plugin.
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"""
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# Backward compatibility
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if flatten is not None:
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as_grey = flatten
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return call_plugin('read', fname, as_grey=as_grey, dtype=dtype,
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plugin=plugin, **plugin_args)
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def imsave(fname, arr, plugin=None, **plugin_args):
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"""Save an image to file.
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Parameters
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----------
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fname : str
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Target filename.
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arr : ndarray of shape (M,N) or (M,N,3) or (M,N,4)
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Image data.
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plugin : str
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Name of plugin to use. By default, the different plugins are
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tried (starting with the Python Imaging Library) until a suitable
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candidate is found.
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Other parameters
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----------------
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plugin_args : keywords
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Passed to the given plugin.
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"""
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return call_plugin('save', fname, arr, plugin=plugin, **plugin_args)
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def imshow(arr, plugin=None, **plugin_args):
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"""Display an image.
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Parameters
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----------
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arr : ndarray
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Image data.
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plugin : str
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Name of plugin to use. By default, the different plugins are
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tried (starting with the Python Imaging Library) until a suitable
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candidate is found.
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Other parameters
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----------------
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plugin_args : keywords
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Passed to the given plugin.
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"""
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return call_plugin('show', arr, plugin=plugin, **plugin_args)
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def show():
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'''Launches the event loop of the current gui plugin,
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and displays all pending images. This is required,
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when using imshow() from a non-interactive script.
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Simply make all the calls to imshow() to queue up as many
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images as you need, then call show(). After the
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last window is closed, the gui event loop will exit,
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and you script will continue execution.
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If this is called from the interactive terminal,
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it will block until all windows are closed.'''
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return call_plugin('appshow')
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