Vision widgets

ipywidgets for images

 Box.__getitem__ (i)

 widget (im, *args, **layout)

Convert anything that can be displayed by IPython into a widget

im = Image.open('images/puppy.jpg').to_thumb(256,512)
VBox([widgets.HTML('Puppy'),
      widget(im, max_width="192px")])

 carousel (children:tuple|collections.abc.MutableSequence=(), **layout)

A horizontally scrolling carousel

	Type	Default	Details
children	tuple \| collections.abc.MutableSequence	()	`Box` objects to display in a carousel
layout
Returns	Box		An `ipywidget`’s carousel

ts = [VBox([widget(im, max_width='192px'), Button(description='click')])
      for o in range(3)]

carousel(ts, width='450px')

 ImagesCleaner (opts:tuple=(), height:int=128, width:int=256,
                max_n:int=30)

A widget that displays all images in fns along with a Dropdown

	Type	Default	Details
opts	tuple	()	Options for the `Dropdown` menu
height	int	128	Thumbnail Height
width	int	256	Thumbnail Width
max_n	int	30	Max number of images to display

fns = get_image_files('images')
w = ImagesCleaner(('A','B'))
w.set_fns(fns)
w

w.delete(),w.change()

((#0) [], (#0) [])

 ImageClassifierCleaner (learn, opts:tuple=(), height:int=128,
                         width:int=256, max_n:int=30)

A widget that provides an ImagesCleaner for a CNN Learner

	Type	Default	Details
learn
opts	tuple	()	Options for the `Dropdown` menu
height	int	128	Thumbnail Height
width	int	256	Thumbnail Width
max_n	int	30	Max number of images to display