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name = 'Crop'
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Crop.name
reset() [source]
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Crop.reset
__init__(maxdist=10, **kwargs) [source] Initialize self. See help(type(self)) for accurate signature.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Crop.__init__
class skimage.viewer.plugins.LabelPainter(max_radius=20, **kwargs) [source] Bases: skimage.viewer.plugins.base.Plugin __init__(max_radius=20, **kwargs) [source] Initialize self. See help(type(self)) for accurate signature. attach(image_viewer) [source] Attach the plugin to an ImageViewer. Note that the ImageViewer will automatically call this method when the plugin is added to the ImageViewer. For example: viewer += Plugin(...) Also note that attach automatically calls the filter function so that the image matches the filtered value specified by attached widgets. help() [source] property label name = 'LabelPainter' on_enter(overlay) [source] property radius
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.LabelPainter
attach(image_viewer) [source] Attach the plugin to an ImageViewer. Note that the ImageViewer will automatically call this method when the plugin is added to the ImageViewer. For example: viewer += Plugin(...) Also note that attach automatically calls the filter function so that the image matches the filtered value specified by attached widgets.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.LabelPainter.attach
help() [source]
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.LabelPainter.help
property label
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.LabelPainter.label
name = 'LabelPainter'
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.LabelPainter.name
on_enter(overlay) [source]
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.LabelPainter.on_enter
property radius
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.LabelPainter.radius
__init__(max_radius=20, **kwargs) [source] Initialize self. See help(type(self)) for accurate signature.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.LabelPainter.__init__
class skimage.viewer.plugins.LineProfile(maxdist=10, epsilon='deprecated', limits='image', **kwargs) [source] Bases: skimage.viewer.plugins.plotplugin.PlotPlugin Plugin to compute interpolated intensity under a scan line on an image. See PlotPlugin and Plugin classes for additional details. Parameters maxdistfloat Maximum pixel distance allowed when selecting end point of scan line. limitstuple or {None, ‘image’, ‘dtype’} (minimum, maximum) intensity limits for plotted profile. The following special values are defined: None : rescale based on min/max intensity along selected scan line. ‘image’ : fixed scale based on min/max intensity in image. ‘dtype’ : fixed scale based on min/max intensity of image dtype. __init__(maxdist=10, epsilon='deprecated', limits='image', **kwargs) [source] Initialize self. See help(type(self)) for accurate signature. attach(image_viewer) [source] Attach the plugin to an ImageViewer. Note that the ImageViewer will automatically call this method when the plugin is added to the ImageViewer. For example: viewer += Plugin(...) Also note that attach automatically calls the filter function so that the image matches the filtered value specified by attached widgets. get_profiles() [source] Return intensity profile of the selected line. Returns end_points: (2, 2) array The positions ((x1, y1), (x2, y2)) of the line ends. profile: list of 1d arrays Profile of intensity values. Length 1 (grayscale) or 3 (rgb). help() [source] line_changed(end_points) [source] name = 'Line Profile' output() [source] Return the drawn line and the resulting scan. Returns line_image(M, N) uint8 array, same shape as image An array of 0s with the scanned line set to 255. If the linewidth of the line tool is greater than 1, sets the values within the profiled polygon to 128. scan(P,) or (P, 3) array of int or float The line scan values across the image. reset_axes(scan_data) [source]
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.LineProfile
attach(image_viewer) [source] Attach the plugin to an ImageViewer. Note that the ImageViewer will automatically call this method when the plugin is added to the ImageViewer. For example: viewer += Plugin(...) Also note that attach automatically calls the filter function so that the image matches the filtered value specified by attached widgets.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.LineProfile.attach
get_profiles() [source] Return intensity profile of the selected line. Returns end_points: (2, 2) array The positions ((x1, y1), (x2, y2)) of the line ends. profile: list of 1d arrays Profile of intensity values. Length 1 (grayscale) or 3 (rgb).
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.LineProfile.get_profiles
help() [source]
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.LineProfile.help
line_changed(end_points) [source]
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.LineProfile.line_changed
name = 'Line Profile'
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.LineProfile.name
output() [source] Return the drawn line and the resulting scan. Returns line_image(M, N) uint8 array, same shape as image An array of 0s with the scanned line set to 255. If the linewidth of the line tool is greater than 1, sets the values within the profiled polygon to 128. scan(P,) or (P, 3) array of int or float The line scan values across the image.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.LineProfile.output
reset_axes(scan_data) [source]
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.LineProfile.reset_axes
__init__(maxdist=10, epsilon='deprecated', limits='image', **kwargs) [source] Initialize self. See help(type(self)) for accurate signature.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.LineProfile.__init__
class skimage.viewer.plugins.Measure(maxdist=10, **kwargs) [source] Bases: skimage.viewer.plugins.base.Plugin __init__(maxdist=10, **kwargs) [source] Initialize self. See help(type(self)) for accurate signature. attach(image_viewer) [source] Attach the plugin to an ImageViewer. Note that the ImageViewer will automatically call this method when the plugin is added to the ImageViewer. For example: viewer += Plugin(...) Also note that attach automatically calls the filter function so that the image matches the filtered value specified by attached widgets. help() [source] line_changed(end_points) [source] name = 'Measure'
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Measure
attach(image_viewer) [source] Attach the plugin to an ImageViewer. Note that the ImageViewer will automatically call this method when the plugin is added to the ImageViewer. For example: viewer += Plugin(...) Also note that attach automatically calls the filter function so that the image matches the filtered value specified by attached widgets.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Measure.attach
help() [source]
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Measure.help
line_changed(end_points) [source]
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Measure.line_changed
name = 'Measure'
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Measure.name
__init__(maxdist=10, **kwargs) [source] Initialize self. See help(type(self)) for accurate signature.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Measure.__init__
class skimage.viewer.plugins.OverlayPlugin(**kwargs) [source] Bases: skimage.viewer.plugins.base.Plugin Plugin for ImageViewer that displays an overlay on top of main image. The base Plugin class displays the filtered image directly on the viewer. OverlayPlugin will instead overlay an image with a transparent colormap. See base Plugin class for additional details. Attributes overlayarray Overlay displayed on top of image. This overlay defaults to a color map with alpha values varying linearly from 0 to 1. colorint Color of overlay. __init__(**kwargs) [source] Initialize self. See help(type(self)) for accurate signature. attach(image_viewer) [source] Attach the plugin to an ImageViewer. Note that the ImageViewer will automatically call this method when the plugin is added to the ImageViewer. For example: viewer += Plugin(...) Also note that attach automatically calls the filter function so that the image matches the filtered value specified by attached widgets. closeEvent(event) [source] On close disconnect all artists and events from ImageViewer. Note that artists must be appended to self.artists. property color colors = {'cyan': (0, 1, 1), 'green': (0, 1, 0), 'red': (1, 0, 0), 'yellow': (1, 1, 0)} display_filtered_image(image) [source] Display filtered image as an overlay on top of image in viewer. property filtered_image Return filtered image. This “filtered image” is used when saving from the plugin. output() [source] Return the overlaid image. Returns overlayarray, same shape as image The overlay currently displayed. dataNone property overlay
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.OverlayPlugin
attach(image_viewer) [source] Attach the plugin to an ImageViewer. Note that the ImageViewer will automatically call this method when the plugin is added to the ImageViewer. For example: viewer += Plugin(...) Also note that attach automatically calls the filter function so that the image matches the filtered value specified by attached widgets.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.OverlayPlugin.attach
closeEvent(event) [source] On close disconnect all artists and events from ImageViewer. Note that artists must be appended to self.artists.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.OverlayPlugin.closeEvent
property color
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.OverlayPlugin.color
colors = {'cyan': (0, 1, 1), 'green': (0, 1, 0), 'red': (1, 0, 0), 'yellow': (1, 1, 0)}
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.OverlayPlugin.colors
display_filtered_image(image) [source] Display filtered image as an overlay on top of image in viewer.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.OverlayPlugin.display_filtered_image
property filtered_image Return filtered image. This “filtered image” is used when saving from the plugin.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.OverlayPlugin.filtered_image
output() [source] Return the overlaid image. Returns overlayarray, same shape as image The overlay currently displayed. dataNone
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.OverlayPlugin.output
property overlay
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.OverlayPlugin.overlay
__init__(**kwargs) [source] Initialize self. See help(type(self)) for accurate signature.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.OverlayPlugin.__init__
class skimage.viewer.plugins.PlotPlugin(image_filter=None, height=150, width=400, **kwargs) [source] Bases: skimage.viewer.plugins.base.Plugin Plugin for ImageViewer that contains a plot canvas. Base class for plugins that contain a Matplotlib plot canvas, which can, for example, display an image histogram. See base Plugin class for additional details. __init__(image_filter=None, height=150, width=400, **kwargs) [source] Initialize self. See help(type(self)) for accurate signature. add_plot() [source] add_tool(tool) [source] attach(image_viewer) [source] Attach the plugin to an ImageViewer. Note that the ImageViewer will automatically call this method when the plugin is added to the ImageViewer. For example: viewer += Plugin(...) Also note that attach automatically calls the filter function so that the image matches the filtered value specified by attached widgets. redraw() [source] Redraw plot. remove_tool(tool) [source]
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.PlotPlugin
add_plot() [source]
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.PlotPlugin.add_plot
add_tool(tool) [source]
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.PlotPlugin.add_tool
attach(image_viewer) [source] Attach the plugin to an ImageViewer. Note that the ImageViewer will automatically call this method when the plugin is added to the ImageViewer. For example: viewer += Plugin(...) Also note that attach automatically calls the filter function so that the image matches the filtered value specified by attached widgets.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.PlotPlugin.attach
redraw() [source] Redraw plot.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.PlotPlugin.redraw
remove_tool(tool) [source]
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.PlotPlugin.remove_tool
__init__(image_filter=None, height=150, width=400, **kwargs) [source] Initialize self. See help(type(self)) for accurate signature.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.PlotPlugin.__init__
class skimage.viewer.plugins.Plugin(image_filter=None, height=0, width=400, useblit=True, dock='bottom') [source] Bases: object Base class for plugins that interact with an ImageViewer. A plugin connects an image filter (or another function) to an image viewer. Note that a Plugin is initialized without an image viewer and attached in a later step. See example below for details. Parameters image_viewerImageViewer Window containing image used in measurement/manipulation. image_filterfunction Function that gets called to update image in image viewer. This value can be None if, for example, you have a plugin that extracts information from an image and doesn’t manipulate it. Alternatively, this function can be defined as a method in a Plugin subclass. height, widthint Size of plugin window in pixels. Note that Qt will automatically resize a window to fit components. So if you’re adding rows of components, you can leave height = 0 and just let Qt determine the final height. useblitbool If True, use blitting to speed up animation. Only available on some Matplotlib backends. If None, set to True when using Agg backend. This only has an effect if you draw on top of an image viewer. Examples >>> from skimage.viewer import ImageViewer >>> from skimage.viewer.widgets import Slider >>> from skimage import data >>> >>> plugin = Plugin(image_filter=lambda img, ... threshold: img > threshold) >>> plugin += Slider('threshold', 0, 255) >>> >>> image = data.coins() >>> viewer = ImageViewer(image) >>> viewer += plugin >>> thresholded = viewer.show()[0][0] The plugin will automatically delegate parameters to image_filter based on its parameter type, i.e., ptype (widgets for required arguments must be added in the order they appear in the function). The image attached to the viewer is automatically passed as the first argument to the filter function. #TODO: Add flag so image is not passed to filter function by default. ptype = ‘kwarg’ is the default for most widgets so it’s unnecessary here. Attributes image_viewerImageViewer Window containing image used in measurement. namestr Name of plugin. This is displayed as the window title. artistlist List of Matplotlib artists and canvastools. Any artists created by the plugin should be added to this list so that it gets cleaned up on close. __init__(image_filter=None, height=0, width=400, useblit=True, dock='bottom') [source] Initialize self. See help(type(self)) for accurate signature. add_widget(widget) [source] Add widget to plugin. Alternatively, Plugin’s __add__ method is overloaded to add widgets: plugin += Widget(...) Widgets can adjust required or optional arguments of filter function or parameters for the plugin. This is specified by the Widget’s ptype. attach(image_viewer) [source] Attach the plugin to an ImageViewer. Note that the ImageViewer will automatically call this method when the plugin is added to the ImageViewer. For example: viewer += Plugin(...) Also note that attach automatically calls the filter function so that the image matches the filtered value specified by attached widgets. clean_up() [source] closeEvent(event) [source] On close disconnect all artists and events from ImageViewer. Note that artists must be appended to self.artists. display_filtered_image(image) [source] Display the filtered image on image viewer. If you don’t want to simply replace the displayed image with the filtered image (e.g., you want to display a transparent overlay), you can override this method. filter_image(*widget_arg) [source] Call image_filter with widget args and kwargs Note: display_filtered_image is automatically called. property filtered_image Return filtered image. image_changed = None image_viewer = 'Plugin is not attached to ImageViewer' name = 'Plugin' output() [source] Return the plugin’s representation and data. Returns imagearray, same shape as self.image_viewer.image, or None The filtered image. dataNone Any data associated with the plugin. Notes Derived classes should override this method to return a tuple containing an overlay of the same shape of the image, and a data object. Either of these is optional: return None if you don’t want to return a value. remove_image_artists() [source] Remove artists that are connected to the image viewer. show(main_window=True) [source] Show plugin. update_plugin(name, value) [source] Update keyword parameters of the plugin itself. These parameters will typically be implemented as class properties so that they update the image or some other component.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Plugin
add_widget(widget) [source] Add widget to plugin. Alternatively, Plugin’s __add__ method is overloaded to add widgets: plugin += Widget(...) Widgets can adjust required or optional arguments of filter function or parameters for the plugin. This is specified by the Widget’s ptype.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Plugin.add_widget
attach(image_viewer) [source] Attach the plugin to an ImageViewer. Note that the ImageViewer will automatically call this method when the plugin is added to the ImageViewer. For example: viewer += Plugin(...) Also note that attach automatically calls the filter function so that the image matches the filtered value specified by attached widgets.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Plugin.attach
clean_up() [source]
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Plugin.clean_up
closeEvent(event) [source] On close disconnect all artists and events from ImageViewer. Note that artists must be appended to self.artists.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Plugin.closeEvent
display_filtered_image(image) [source] Display the filtered image on image viewer. If you don’t want to simply replace the displayed image with the filtered image (e.g., you want to display a transparent overlay), you can override this method.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Plugin.display_filtered_image
property filtered_image Return filtered image.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Plugin.filtered_image
filter_image(*widget_arg) [source] Call image_filter with widget args and kwargs Note: display_filtered_image is automatically called.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Plugin.filter_image
image_changed = None
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Plugin.image_changed
image_viewer = 'Plugin is not attached to ImageViewer'
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Plugin.image_viewer
name = 'Plugin'
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Plugin.name
output() [source] Return the plugin’s representation and data. Returns imagearray, same shape as self.image_viewer.image, or None The filtered image. dataNone Any data associated with the plugin. Notes Derived classes should override this method to return a tuple containing an overlay of the same shape of the image, and a data object. Either of these is optional: return None if you don’t want to return a value.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Plugin.output
remove_image_artists() [source] Remove artists that are connected to the image viewer.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Plugin.remove_image_artists
show(main_window=True) [source] Show plugin.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Plugin.show
update_plugin(name, value) [source] Update keyword parameters of the plugin itself. These parameters will typically be implemented as class properties so that they update the image or some other component.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Plugin.update_plugin
__init__(image_filter=None, height=0, width=400, useblit=True, dock='bottom') [source] Initialize self. See help(type(self)) for accurate signature.
skimage.api.skimage.viewer.plugins#skimage.viewer.plugins.Plugin.__init__
Module: viewer.utils skimage.viewer.utils.figimage(image[, …]) Return figure and axes with figure tightly surrounding image. skimage.viewer.utils.init_qtapp() Initialize QAppliction. skimage.viewer.utils.new_plot([parent, …]) Return new figure and axes. skimage.viewer.utils.start_qtapp([app]) Start Qt mainloop skimage.viewer.utils.update_axes_image(…) Update the image displayed by an image plot. skimage.viewer.utils.ClearColormap(rgb[, …]) Color map that varies linearly from alpha = 0 to 1 skimage.viewer.utils.FigureCanvas(figure, …) Canvas for displaying images. skimage.viewer.utils.LinearColormap(name, …) LinearSegmentedColormap in which color varies smoothly. skimage.viewer.utils.RequiredAttr([init_val]) A class attribute that must be set before use. skimage.viewer.utils.canvas skimage.viewer.utils.core skimage.viewer.utils.dialogs figimage skimage.viewer.utils.figimage(image, scale=1, dpi=None, **kwargs) [source] Return figure and axes with figure tightly surrounding image. Unlike pyplot.figimage, this actually plots onto an axes object, which fills the figure. Plotting the image onto an axes allows for subsequent overlays of axes artists. Parameters imagearray image to plot scalefloat If scale is 1, the figure and axes have the same dimension as the image. Smaller values of scale will shrink the figure. dpiint Dots per inch for figure. If None, use the default rcParam. init_qtapp skimage.viewer.utils.init_qtapp() [source] Initialize QAppliction. The QApplication needs to be initialized before creating any QWidgets new_plot skimage.viewer.utils.new_plot(parent=None, subplot_kw=None, **fig_kw) [source] Return new figure and axes. Parameters parentQtWidget Qt widget that displays the plot objects. If None, you must manually call canvas.setParent and pass the parent widget. subplot_kwdict Keyword arguments passed matplotlib.figure.Figure.add_subplot. fig_kwdict Keyword arguments passed matplotlib.figure.Figure. start_qtapp skimage.viewer.utils.start_qtapp(app=None) [source] Start Qt mainloop update_axes_image skimage.viewer.utils.update_axes_image(image_axes, image) [source] Update the image displayed by an image plot. This sets the image plot’s array and updates its shape appropriately Parameters image_axesmatplotlib.image.AxesImage Image axes to update. imagearray Image array. ClearColormap class skimage.viewer.utils.ClearColormap(rgb, max_alpha=1, name='clear_color') [source] Bases: skimage.viewer.utils.core.LinearColormap Color map that varies linearly from alpha = 0 to 1 __init__(rgb, max_alpha=1, name='clear_color') [source] Create color map from linear mapping segments segmentdata argument is a dictionary with a red, green and blue entries. Each entry should be a list of x, y0, y1 tuples, forming rows in a table. Entries for alpha are optional. Example: suppose you want red to increase from 0 to 1 over the bottom half, green to do the same over the middle half, and blue over the top half. Then you would use: cdict = {'red': [(0.0, 0.0, 0.0), (0.5, 1.0, 1.0), (1.0, 1.0, 1.0)], 'green': [(0.0, 0.0, 0.0), (0.25, 0.0, 0.0), (0.75, 1.0, 1.0), (1.0, 1.0, 1.0)], 'blue': [(0.0, 0.0, 0.0), (0.5, 0.0, 0.0), (1.0, 1.0, 1.0)]} Each row in the table for a given color is a sequence of x, y0, y1 tuples. In each sequence, x must increase monotonically from 0 to 1. For any input value z falling between x[i] and x[i+1], the output value of a given color will be linearly interpolated between y1[i] and y0[i+1]: row i: x y0 y1 / / row i+1: x y0 y1 Hence y0 in the first row and y1 in the last row are never used. See also LinearSegmentedColormap.from_list Static method; factory function for generating a smoothly-varying LinearSegmentedColormap. makeMappingArray For information about making a mapping array. FigureCanvas class skimage.viewer.utils.FigureCanvas(figure, **kwargs) [source] Bases: object Canvas for displaying images. __init__(figure, **kwargs) [source] Initialize self. See help(type(self)) for accurate signature. resizeEvent(event) [source] LinearColormap class skimage.viewer.utils.LinearColormap(name, segmented_data, **kwargs) [source] Bases: matplotlib.colors.LinearSegmentedColormap LinearSegmentedColormap in which color varies smoothly. This class is a simplification of LinearSegmentedColormap, which doesn’t support jumps in color intensities. Parameters namestr Name of colormap. segmented_datadict Dictionary of ‘red’, ‘green’, ‘blue’, and (optionally) ‘alpha’ values. Each color key contains a list of x, y tuples. x must increase monotonically from 0 to 1 and corresponds to input values for a mappable object (e.g. an image). y corresponds to the color intensity. __init__(name, segmented_data, **kwargs) [source] Create color map from linear mapping segments segmentdata argument is a dictionary with a red, green and blue entries. Each entry should be a list of x, y0, y1 tuples, forming rows in a table. Entries for alpha are optional. Example: suppose you want red to increase from 0 to 1 over the bottom half, green to do the same over the middle half, and blue over the top half. Then you would use: cdict = {'red': [(0.0, 0.0, 0.0), (0.5, 1.0, 1.0), (1.0, 1.0, 1.0)], 'green': [(0.0, 0.0, 0.0), (0.25, 0.0, 0.0), (0.75, 1.0, 1.0), (1.0, 1.0, 1.0)], 'blue': [(0.0, 0.0, 0.0), (0.5, 0.0, 0.0), (1.0, 1.0, 1.0)]} Each row in the table for a given color is a sequence of x, y0, y1 tuples. In each sequence, x must increase monotonically from 0 to 1. For any input value z falling between x[i] and x[i+1], the output value of a given color will be linearly interpolated between y1[i] and y0[i+1]: row i: x y0 y1 / / row i+1: x y0 y1 Hence y0 in the first row and y1 in the last row are never used. See also LinearSegmentedColormap.from_list Static method; factory function for generating a smoothly-varying LinearSegmentedColormap. makeMappingArray For information about making a mapping array. RequiredAttr class skimage.viewer.utils.RequiredAttr(init_val=None) [source] Bases: object A class attribute that must be set before use. __init__(init_val=None) [source] Initialize self. See help(type(self)) for accurate signature. instances = {(<skimage.viewer.utils.core.RequiredAttr object>, None): 'Widget is not attached to a Plugin.', (<skimage.viewer.utils.core.RequiredAttr object>, None): 'Plugin is not attached to ImageViewer'}
skimage.api.skimage.viewer.utils
class skimage.viewer.utils.ClearColormap(rgb, max_alpha=1, name='clear_color') [source] Bases: skimage.viewer.utils.core.LinearColormap Color map that varies linearly from alpha = 0 to 1 __init__(rgb, max_alpha=1, name='clear_color') [source] Create color map from linear mapping segments segmentdata argument is a dictionary with a red, green and blue entries. Each entry should be a list of x, y0, y1 tuples, forming rows in a table. Entries for alpha are optional. Example: suppose you want red to increase from 0 to 1 over the bottom half, green to do the same over the middle half, and blue over the top half. Then you would use: cdict = {'red': [(0.0, 0.0, 0.0), (0.5, 1.0, 1.0), (1.0, 1.0, 1.0)], 'green': [(0.0, 0.0, 0.0), (0.25, 0.0, 0.0), (0.75, 1.0, 1.0), (1.0, 1.0, 1.0)], 'blue': [(0.0, 0.0, 0.0), (0.5, 0.0, 0.0), (1.0, 1.0, 1.0)]} Each row in the table for a given color is a sequence of x, y0, y1 tuples. In each sequence, x must increase monotonically from 0 to 1. For any input value z falling between x[i] and x[i+1], the output value of a given color will be linearly interpolated between y1[i] and y0[i+1]: row i: x y0 y1 / / row i+1: x y0 y1 Hence y0 in the first row and y1 in the last row are never used. See also LinearSegmentedColormap.from_list Static method; factory function for generating a smoothly-varying LinearSegmentedColormap. makeMappingArray For information about making a mapping array.
skimage.api.skimage.viewer.utils#skimage.viewer.utils.ClearColormap
__init__(rgb, max_alpha=1, name='clear_color') [source] Create color map from linear mapping segments segmentdata argument is a dictionary with a red, green and blue entries. Each entry should be a list of x, y0, y1 tuples, forming rows in a table. Entries for alpha are optional. Example: suppose you want red to increase from 0 to 1 over the bottom half, green to do the same over the middle half, and blue over the top half. Then you would use: cdict = {'red': [(0.0, 0.0, 0.0), (0.5, 1.0, 1.0), (1.0, 1.0, 1.0)], 'green': [(0.0, 0.0, 0.0), (0.25, 0.0, 0.0), (0.75, 1.0, 1.0), (1.0, 1.0, 1.0)], 'blue': [(0.0, 0.0, 0.0), (0.5, 0.0, 0.0), (1.0, 1.0, 1.0)]} Each row in the table for a given color is a sequence of x, y0, y1 tuples. In each sequence, x must increase monotonically from 0 to 1. For any input value z falling between x[i] and x[i+1], the output value of a given color will be linearly interpolated between y1[i] and y0[i+1]: row i: x y0 y1 / / row i+1: x y0 y1 Hence y0 in the first row and y1 in the last row are never used. See also LinearSegmentedColormap.from_list Static method; factory function for generating a smoothly-varying LinearSegmentedColormap. makeMappingArray For information about making a mapping array.
skimage.api.skimage.viewer.utils#skimage.viewer.utils.ClearColormap.__init__
skimage.viewer.utils.figimage(image, scale=1, dpi=None, **kwargs) [source] Return figure and axes with figure tightly surrounding image. Unlike pyplot.figimage, this actually plots onto an axes object, which fills the figure. Plotting the image onto an axes allows for subsequent overlays of axes artists. Parameters imagearray image to plot scalefloat If scale is 1, the figure and axes have the same dimension as the image. Smaller values of scale will shrink the figure. dpiint Dots per inch for figure. If None, use the default rcParam.
skimage.api.skimage.viewer.utils#skimage.viewer.utils.figimage
class skimage.viewer.utils.FigureCanvas(figure, **kwargs) [source] Bases: object Canvas for displaying images. __init__(figure, **kwargs) [source] Initialize self. See help(type(self)) for accurate signature. resizeEvent(event) [source]
skimage.api.skimage.viewer.utils#skimage.viewer.utils.FigureCanvas
resizeEvent(event) [source]
skimage.api.skimage.viewer.utils#skimage.viewer.utils.FigureCanvas.resizeEvent
__init__(figure, **kwargs) [source] Initialize self. See help(type(self)) for accurate signature.
skimage.api.skimage.viewer.utils#skimage.viewer.utils.FigureCanvas.__init__
skimage.viewer.utils.init_qtapp() [source] Initialize QAppliction. The QApplication needs to be initialized before creating any QWidgets
skimage.api.skimage.viewer.utils#skimage.viewer.utils.init_qtapp
class skimage.viewer.utils.LinearColormap(name, segmented_data, **kwargs) [source] Bases: matplotlib.colors.LinearSegmentedColormap LinearSegmentedColormap in which color varies smoothly. This class is a simplification of LinearSegmentedColormap, which doesn’t support jumps in color intensities. Parameters namestr Name of colormap. segmented_datadict Dictionary of ‘red’, ‘green’, ‘blue’, and (optionally) ‘alpha’ values. Each color key contains a list of x, y tuples. x must increase monotonically from 0 to 1 and corresponds to input values for a mappable object (e.g. an image). y corresponds to the color intensity. __init__(name, segmented_data, **kwargs) [source] Create color map from linear mapping segments segmentdata argument is a dictionary with a red, green and blue entries. Each entry should be a list of x, y0, y1 tuples, forming rows in a table. Entries for alpha are optional. Example: suppose you want red to increase from 0 to 1 over the bottom half, green to do the same over the middle half, and blue over the top half. Then you would use: cdict = {'red': [(0.0, 0.0, 0.0), (0.5, 1.0, 1.0), (1.0, 1.0, 1.0)], 'green': [(0.0, 0.0, 0.0), (0.25, 0.0, 0.0), (0.75, 1.0, 1.0), (1.0, 1.0, 1.0)], 'blue': [(0.0, 0.0, 0.0), (0.5, 0.0, 0.0), (1.0, 1.0, 1.0)]} Each row in the table for a given color is a sequence of x, y0, y1 tuples. In each sequence, x must increase monotonically from 0 to 1. For any input value z falling between x[i] and x[i+1], the output value of a given color will be linearly interpolated between y1[i] and y0[i+1]: row i: x y0 y1 / / row i+1: x y0 y1 Hence y0 in the first row and y1 in the last row are never used. See also LinearSegmentedColormap.from_list Static method; factory function for generating a smoothly-varying LinearSegmentedColormap. makeMappingArray For information about making a mapping array.
skimage.api.skimage.viewer.utils#skimage.viewer.utils.LinearColormap
__init__(name, segmented_data, **kwargs) [source] Create color map from linear mapping segments segmentdata argument is a dictionary with a red, green and blue entries. Each entry should be a list of x, y0, y1 tuples, forming rows in a table. Entries for alpha are optional. Example: suppose you want red to increase from 0 to 1 over the bottom half, green to do the same over the middle half, and blue over the top half. Then you would use: cdict = {'red': [(0.0, 0.0, 0.0), (0.5, 1.0, 1.0), (1.0, 1.0, 1.0)], 'green': [(0.0, 0.0, 0.0), (0.25, 0.0, 0.0), (0.75, 1.0, 1.0), (1.0, 1.0, 1.0)], 'blue': [(0.0, 0.0, 0.0), (0.5, 0.0, 0.0), (1.0, 1.0, 1.0)]} Each row in the table for a given color is a sequence of x, y0, y1 tuples. In each sequence, x must increase monotonically from 0 to 1. For any input value z falling between x[i] and x[i+1], the output value of a given color will be linearly interpolated between y1[i] and y0[i+1]: row i: x y0 y1 / / row i+1: x y0 y1 Hence y0 in the first row and y1 in the last row are never used. See also LinearSegmentedColormap.from_list Static method; factory function for generating a smoothly-varying LinearSegmentedColormap. makeMappingArray For information about making a mapping array.
skimage.api.skimage.viewer.utils#skimage.viewer.utils.LinearColormap.__init__
skimage.viewer.utils.new_plot(parent=None, subplot_kw=None, **fig_kw) [source] Return new figure and axes. Parameters parentQtWidget Qt widget that displays the plot objects. If None, you must manually call canvas.setParent and pass the parent widget. subplot_kwdict Keyword arguments passed matplotlib.figure.Figure.add_subplot. fig_kwdict Keyword arguments passed matplotlib.figure.Figure.
skimage.api.skimage.viewer.utils#skimage.viewer.utils.new_plot
class skimage.viewer.utils.RequiredAttr(init_val=None) [source] Bases: object A class attribute that must be set before use. __init__(init_val=None) [source] Initialize self. See help(type(self)) for accurate signature. instances = {(<skimage.viewer.utils.core.RequiredAttr object>, None): 'Widget is not attached to a Plugin.', (<skimage.viewer.utils.core.RequiredAttr object>, None): 'Plugin is not attached to ImageViewer'}
skimage.api.skimage.viewer.utils#skimage.viewer.utils.RequiredAttr
instances = {(<skimage.viewer.utils.core.RequiredAttr object>, None): 'Widget is not attached to a Plugin.', (<skimage.viewer.utils.core.RequiredAttr object>, None): 'Plugin is not attached to ImageViewer'}
skimage.api.skimage.viewer.utils#skimage.viewer.utils.RequiredAttr.instances
__init__(init_val=None) [source] Initialize self. See help(type(self)) for accurate signature.
skimage.api.skimage.viewer.utils#skimage.viewer.utils.RequiredAttr.__init__
skimage.viewer.utils.start_qtapp(app=None) [source] Start Qt mainloop
skimage.api.skimage.viewer.utils#skimage.viewer.utils.start_qtapp
skimage.viewer.utils.update_axes_image(image_axes, image) [source] Update the image displayed by an image plot. This sets the image plot’s array and updates its shape appropriately Parameters image_axesmatplotlib.image.AxesImage Image axes to update. imagearray Image array.
skimage.api.skimage.viewer.utils#skimage.viewer.utils.update_axes_image
Module: viewer.viewers skimage.viewer.viewers.CollectionViewer(…) Viewer for displaying image collections. skimage.viewer.viewers.ImageViewer(image[, …]) Viewer for displaying images. skimage.viewer.viewers.core ImageViewer class for viewing and interacting with images. CollectionViewer class skimage.viewer.viewers.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_collectionlist of images List of images to be displayed. update_on{‘move’ | ‘release’} Control whether image is updated on slide or release of the image slider. Using ‘on_release’ will give smoother behavior when displaying large images or when writing a plugin/subclass that requires heavy computation. __init__(image_collection, update_on='move', **kwargs) [source] Initialize self. See help(type(self)) for accurate signature. keyPressEvent(event) [source] update_index(name, index) [source] Select image on display using index into image collection. ImageViewer class skimage.viewer.viewers.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 imagearray Image being viewed. Examples >>> from skimage import data >>> image = data.coins() >>> viewer = ImageViewer(image) >>> viewer.show() Attributes canvas, fig, axMatplotlib canvas, figure, and axes Matplotlib canvas, figure, and axes used to display image. imagearray Image being viewed. Setting this value will update the displayed frame. original_imagearray Plugins typically operate on (but don’t change) the original image. pluginslist List of attached plugins. __init__(image, useblit=True) [source] Initialize self. See help(type(self)) for accurate signature. add_tool(tool) [source] closeEvent(event) [source] connect_event(event, callback) [source] Connect callback function to matplotlib event and return id. disconnect_event(callback_id) [source] Disconnect callback by its id (returned by connect_event). dock_areas = {'bottom': None, 'left': None, 'right': None, 'top': None} property image open_file(filename=None) [source] Open image file and display in viewer. original_image_changed = None redraw() [source] remove_tool(tool) [source] reset_image() [source] 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). show(main_window=True) [source] Show ImageViewer and attached plugins. This behaves much like matplotlib.pyplot.show and QWidget.show. update_image(image) [source] Update displayed image. This method can be overridden or extended in subclasses and plugins to react to image changes.
skimage.api.skimage.viewer.viewers
class skimage.viewer.viewers.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_collectionlist of images List of images to be displayed. update_on{‘move’ | ‘release’} Control whether image is updated on slide or release of the image slider. Using ‘on_release’ will give smoother behavior when displaying large images or when writing a plugin/subclass that requires heavy computation. __init__(image_collection, update_on='move', **kwargs) [source] Initialize self. See help(type(self)) for accurate signature. keyPressEvent(event) [source] update_index(name, index) [source] Select image on display using index into image collection.
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.CollectionViewer
keyPressEvent(event) [source]
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.CollectionViewer.keyPressEvent
update_index(name, index) [source] Select image on display using index into image collection.
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.CollectionViewer.update_index
__init__(image_collection, update_on='move', **kwargs) [source] Initialize self. See help(type(self)) for accurate signature.
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.CollectionViewer.__init__
class skimage.viewer.viewers.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 imagearray Image being viewed. Examples >>> from skimage import data >>> image = data.coins() >>> viewer = ImageViewer(image) >>> viewer.show() Attributes canvas, fig, axMatplotlib canvas, figure, and axes Matplotlib canvas, figure, and axes used to display image. imagearray Image being viewed. Setting this value will update the displayed frame. original_imagearray Plugins typically operate on (but don’t change) the original image. pluginslist List of attached plugins. __init__(image, useblit=True) [source] Initialize self. See help(type(self)) for accurate signature. add_tool(tool) [source] closeEvent(event) [source] connect_event(event, callback) [source] Connect callback function to matplotlib event and return id. disconnect_event(callback_id) [source] Disconnect callback by its id (returned by connect_event). dock_areas = {'bottom': None, 'left': None, 'right': None, 'top': None} property image open_file(filename=None) [source] Open image file and display in viewer. original_image_changed = None redraw() [source] remove_tool(tool) [source] reset_image() [source] 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). show(main_window=True) [source] Show ImageViewer and attached plugins. This behaves much like matplotlib.pyplot.show and QWidget.show. update_image(image) [source] Update displayed image. This method can be overridden or extended in subclasses and plugins to react to image changes.
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.ImageViewer
add_tool(tool) [source]
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.ImageViewer.add_tool
closeEvent(event) [source]
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.ImageViewer.closeEvent
connect_event(event, callback) [source] Connect callback function to matplotlib event and return id.
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.ImageViewer.connect_event
disconnect_event(callback_id) [source] Disconnect callback by its id (returned by connect_event).
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.ImageViewer.disconnect_event
dock_areas = {'bottom': None, 'left': None, 'right': None, 'top': None}
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.ImageViewer.dock_areas
property image
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.ImageViewer.image
open_file(filename=None) [source] Open image file and display in viewer.
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.ImageViewer.open_file
original_image_changed = None
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.ImageViewer.original_image_changed
redraw() [source]
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.ImageViewer.redraw
remove_tool(tool) [source]
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.ImageViewer.remove_tool
reset_image() [source]
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.ImageViewer.reset_image
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).
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.ImageViewer.save_to_file
show(main_window=True) [source] Show ImageViewer and attached plugins. This behaves much like matplotlib.pyplot.show and QWidget.show.
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.ImageViewer.show
update_image(image) [source] Update displayed image. This method can be overridden or extended in subclasses and plugins to react to image changes.
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.ImageViewer.update_image
__init__(image, useblit=True) [source] Initialize self. See help(type(self)) for accurate signature.
skimage.api.skimage.viewer.viewers#skimage.viewer.viewers.ImageViewer.__init__
Module: viewer.widgets Widgets for interacting with ImageViewer. These widgets should be added to a Plugin subclass using its add_widget method or calling: plugin += Widget(...) on a Plugin instance. The Plugin will delegate action based on the widget’s parameter type specified by its ptype attribute, which can be: 'arg' : positional argument passed to Plugin's `filter_image` method. 'kwarg' : keyword argument passed to Plugin's `filter_image` method. 'plugin' : attribute of Plugin. You'll probably need to add a class property of the same name that updates the display. skimage.viewer.widgets.BaseWidget(name[, …]) skimage.viewer.widgets.Button(name, callback) Button which calls callback upon click. skimage.viewer.widgets.CheckBox(name[, …]) CheckBox widget skimage.viewer.widgets.ComboBox(name, items) ComboBox widget for selecting among a list of choices. skimage.viewer.widgets.OKCancelButtons([…]) Buttons that close the parent plugin. skimage.viewer.widgets.SaveButtons([name, …]) Buttons to save image to io.stack or to a file. skimage.viewer.widgets.Slider(name[, low, …]) Slider widget for adjusting numeric parameters. skimage.viewer.widgets.Text([name, text]) skimage.viewer.widgets.core skimage.viewer.widgets.history BaseWidget class skimage.viewer.widgets.BaseWidget(name, ptype=None, callback=None) [source] Bases: object __init__(name, ptype=None, callback=None) [source] Initialize self. See help(type(self)) for accurate signature. plugin = 'Widget is not attached to a Plugin.' property val Button class skimage.viewer.widgets.Button(name, callback) [source] Bases: skimage.viewer.widgets.core.BaseWidget Button which calls callback upon click. Parameters namestr Name of button. callbackcallable f() Function to call when button is clicked. __init__(name, callback) [source] Initialize self. See help(type(self)) for accurate signature. CheckBox class skimage.viewer.widgets.CheckBox(name, value=False, alignment='center', ptype='kwarg', callback=None) [source] Bases: skimage.viewer.widgets.core.BaseWidget CheckBox widget Parameters namestr Name of CheckBox parameter. If this parameter is passed as a keyword argument, it must match the name of that keyword argument (spaces are replaced with underscores). In addition, this name is displayed as the name of the CheckBox. value: {False, True}, optional Initial state of the CheckBox. alignment: {‘center’,’left’,’right’}, optional Checkbox alignment ptype{‘arg’ | ‘kwarg’ | ‘plugin’}, optional Parameter type callbackcallable f(widget_name, value), optional Callback function called in response to checkbox changes. Note: This function is typically set (overridden) when the widget is added to a plugin. __init__(name, value=False, alignment='center', ptype='kwarg', callback=None) [source] Initialize self. See help(type(self)) for accurate signature. property val ComboBox class skimage.viewer.widgets.ComboBox(name, items, ptype='kwarg', callback=None) [source] Bases: skimage.viewer.widgets.core.BaseWidget ComboBox widget for selecting among a list of choices. Parameters namestr Name of ComboBox parameter. If this parameter is passed as a keyword argument, it must match the name of that keyword argument (spaces are replaced with underscores). In addition, this name is displayed as the name of the ComboBox. items: list of str Allowed parameter values. ptype{‘arg’ | ‘kwarg’ | ‘plugin’}, optional Parameter type. callbackcallable f(widget_name, value), optional Callback function called in response to combobox changes. Note: This function is typically set (overridden) when the widget is added to a plugin. __init__(name, items, ptype='kwarg', callback=None) [source] Initialize self. See help(type(self)) for accurate signature. property index property val OKCancelButtons class skimage.viewer.widgets.OKCancelButtons(button_width=80) [source] Bases: skimage.viewer.widgets.core.BaseWidget Buttons that close the parent plugin. OK will replace the original image with the current (filtered) image. Cancel will just close the plugin. __init__(button_width=80) [source] Initialize self. See help(type(self)) for accurate signature. close_plugin() [source] update_original_image() [source] SaveButtons class skimage.viewer.widgets.SaveButtons(name='Save to:', default_format='png') [source] Bases: skimage.viewer.widgets.core.BaseWidget Buttons to save image to io.stack or to a file. __init__(name='Save to:', default_format='png') [source] Initialize self. See help(type(self)) for accurate signature. save_to_file(filename=None) [source] save_to_stack() [source] Slider class skimage.viewer.widgets.Slider(name, low=0.0, high=1.0, value=None, value_type='float', ptype='kwarg', callback=None, max_edit_width=60, orientation='horizontal', update_on='release') [source] Bases: skimage.viewer.widgets.core.BaseWidget Slider widget for adjusting numeric parameters. Parameters namestr Name of slider parameter. If this parameter is passed as a keyword argument, it must match the name of that keyword argument (spaces are replaced with underscores). In addition, this name is displayed as the name of the slider. low, highfloat Range of slider values. valuefloat Default slider value. If None, use midpoint between low and high. value_type{‘float’ | ‘int’}, optional Numeric type of slider value. ptype{‘kwarg’ | ‘arg’ | ‘plugin’}, optional Parameter type. callbackcallable f(widget_name, value), optional Callback function called in response to slider changes. Note: This function is typically set (overridden) when the widget is added to a plugin. orientation{‘horizontal’ | ‘vertical’}, optional Slider orientation. update_on{‘release’ | ‘move’}, optional Control when callback function is called: on slider move or release. __init__(name, low=0.0, high=1.0, value=None, value_type='float', ptype='kwarg', callback=None, max_edit_width=60, orientation='horizontal', update_on='release') [source] Initialize self. See help(type(self)) for accurate signature. property val Text class skimage.viewer.widgets.Text(name=None, text='') [source] Bases: skimage.viewer.widgets.core.BaseWidget __init__(name=None, text='') [source] Initialize self. See help(type(self)) for accurate signature. property text
skimage.api.skimage.viewer.widgets
class skimage.viewer.widgets.BaseWidget(name, ptype=None, callback=None) [source] Bases: object __init__(name, ptype=None, callback=None) [source] Initialize self. See help(type(self)) for accurate signature. plugin = 'Widget is not attached to a Plugin.' property val
skimage.api.skimage.viewer.widgets#skimage.viewer.widgets.BaseWidget
plugin = 'Widget is not attached to a Plugin.'
skimage.api.skimage.viewer.widgets#skimage.viewer.widgets.BaseWidget.plugin
property val
skimage.api.skimage.viewer.widgets#skimage.viewer.widgets.BaseWidget.val