viewer
¶skimage.viewer.warn (message[, category, …]) |
A version of warnings.warn with a default stacklevel of 2. |
skimage.viewer.CollectionViewer (image_collection) |
Viewer for displaying image collections. |
skimage.viewer.ImageViewer (image[, useblit]) |
Viewer for displaying images. |
skimage.viewer.canvastools |
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skimage.viewer.plugins |
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skimage.viewer.qt |
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skimage.viewer.utils |
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skimage.viewer.viewers |
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skimage.viewer.widgets |
Widgets for interacting with ImageViewer. |
CollectionViewer
¶skimage.viewer.
CollectionViewer
(image_collection, update_on='move', **kwargs)[source]¶Bases: skimage.viewer.viewers.core.ImageViewer
Viewer for displaying image collections.
Select the displayed frame of the image collection using the slider or with the following keyboard shortcuts:
- left/right arrows
- Previous/next image in collection.
- number keys, 0–9
- 0% to 90% of collection. For example, “5” goes to the image in the middle (i.e. 50%) of the collection.
- home/end keys
- First/last image in collection.
Parameters: | image_collection : list of images
update_on : {‘move’ | ‘release’}
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ImageViewer
¶skimage.viewer.
ImageViewer
(image, useblit=True)[source]¶Bases: object
Viewer for displaying images.
This viewer is a simple container object that holds a Matplotlib axes for showing images. ImageViewer doesn’t subclass the Matplotlib axes (or figure) because of the high probability of name collisions.
Subclasses and plugins will likely extend the update_image method to add custom overlays or filter the displayed image.
Parameters: | image : array
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Examples
>>> from skimage import data
>>> image = data.coins()
>>> viewer = ImageViewer(image)
>>> viewer.show()
Attributes
canvas, fig, ax | (Matplotlib canvas, figure, and axes) Matplotlib canvas, figure, and axes used to display image. |
image | (array) Image being viewed. Setting this value will update the displayed frame. |
original_image | (array) Plugins typically operate on (but don’t change) the original image. |
plugins | (list) List of attached plugins. |
connect_event
(event, callback)[source]¶Connect callback function to matplotlib event and return id.
dock_areas
= {'left': None, 'bottom': None, 'top': None, 'right': None}¶image
¶original_image_changed
= None¶save_to_file
(filename=None)[source]¶Save current image to file.
The current behavior is not ideal: It saves the image displayed on screen, so all images will be converted to RGB, and the image size is not preserved (resizing the viewer window will alter the size of the saved image).