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@@ -32,7 +32,18 @@ let's see an example of how a pre-defined plugin is added to the viewer:
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viewer = ImageViewer(image)
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viewer += LineProfile(viewer)
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viewer.show()
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overlay, data = viewer.show()[0]
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The viewer's ``show()`` method returns a list of tuples, one for each attached
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plugin. Each tuple contains two elements: an overlay of the same shape as the
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input image, and a data field (which may be ``None``). A plugin class documents
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its return value in its ``output`` method.
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In this example, only one plugin is attached, so the list returned by ``show``
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will have length 1. We extract the single tuple and bind its ``overlay`` and
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``data`` elements to individual variables. Here, ``overlay`` contains an image
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of the line drawn on the viewer, and ``data`` contains the 1-dimensional
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intensity profile along that line.
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At the moment, there are not many plugins pre-defined, but there is a really
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simple interface for creating your own plugin. First, let us create a plugin to
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@@ -74,8 +85,10 @@ All that's left is to create an image viewer and add the plugin to that viewer.
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viewer = ImageViewer(image)
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viewer += denoise_plugin
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viewer.show()
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denoised = viewer.show()[0][0]
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Here, we access only the overlay returned by the plugin, which contains the
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filtered image for the last used setting of ``weight``.
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.. image:: data/denoise_viewer_window.png
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.. image:: data/denoise_plugin_window.png
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