kwcoco.demo.toypatterns module

class kwcoco.demo.toypatterns.CategoryPatterns(categories=None, fg_scale=0.5, fg_intensity=0.9, rng=None)

Bases: object

Example

>>> self = CategoryPatterns.coerce()
>>> chip = np.zeros((100, 100, 3))
>>> offset = (20, 10)
>>> dims = (160, 140)
>>> info = self.random_category(chip, offset, dims)
>>> print('info = {}'.format(ub.repr2(info, nl=1)))
>>> # xdoctest: +REQUIRES(--show)
>>> import kwplot
>>> kwplot.autompl()
>>> kwplot.imshow(info['data'], pnum=(1, 2, 1), fnum=1, title='chip-space')
>>> kpts = kwimage.Points._from_coco(info['keypoints'])
>>> kpts.translate(-np.array(offset)).draw(radius=3)
>>> #####
>>> mask = kwimage.Mask.coerce(info['segmentation'])
>>> kwplot.imshow(mask.to_c_mask().data, pnum=(1, 2, 2), fnum=1, title='img-space')
>>> kpts.draw(radius=3)
>>> kwplot.show_if_requested()

classmethod coerce(data=None, **kwargs)

Construct category patterns from either defaults or only with specific categories. Can accept either an existig category pattern object, a list of known catnames, or mscoco category dictionaries.

Example

>>> data = ['superstar']
>>> self = CategoryPatterns.coerce(data)

index(name)

get(index, default=NoParam)

random_category(chip, xy_offset=None, dims=None, newstyle=True)

Ignore:

import xdev globals().update(xdev.get_func_kwargs(self.random_category))

Example

>>> from kwcoco.demo.toypatterns import *  # NOQA
>>> self = CategoryPatterns.coerce(['superstar'])
>>> chip = np.random.rand(64, 64)
>>> info = self.random_category(chip)

render_category(cname, chip, xy_offset=None, dims=None, newstyle=True)

Ignore:

import xdev globals().update(xdev.get_func_kwargs(self.random_category))

Example

>>> self = CategoryPatterns.coerce(['superstar'])
>>> chip = np.random.rand(64, 64)
>>> info = self.render_category('superstar', chip, newstyle=True)
>>> print('info = {}'.format(ub.repr2(info, nl=-1)))
>>> info = self.render_category('superstar', chip, newstyle=False)
>>> print('info = {}'.format(ub.repr2(info, nl=-1)))

kwcoco.demo.toypatterns.star(a, dtype=<class 'numpy.uint8'>)

Generates a star shaped structuring element.

Much faster than skimage.morphology version

class kwcoco.demo.toypatterns.Rasters

Bases: object

static superstar()

test data patch

Ignore:

>>> kwplot.autompl()
>>> patch = Rasters.superstar()
>>> data = np.clip(kwimage.imscale(patch, 2.2), 0, 1)
>>> kwplot.imshow(data)

static eff()

test data patch

Ignore:

>>> kwplot.autompl()
>>> eff = kwimage.draw_text_on_image(None, 'F', (0, 1), valign='top')
>>> patch = Rasters.eff()
>>> data = np.clip(kwimage.imscale(Rasters.eff(), 2.2), 0, 1)
>>> kwplot.imshow(data)