repo_id stringlengths 21 96 | file_path stringlengths 31 155 | content stringlengths 1 92.9M | __index_level_0__ int64 0 0 |
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rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/registration/_optical_flow_utils.py | """Common tools to optical flow algorithms.
"""
import cupy as cp
import numpy as np
from cupyx.scipy import ndimage as ndi
from cucim.skimage.transform import pyramid_reduce
from cucim.skimage.util.dtype import _convert
def get_warp_points(grid, flow):
"""Compute warp point coordinates.
Parameters
--... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/registration/_optical_flow.py | # coding: utf-8
"""TV-L1 optical flow algorithm implementation.
"""
from functools import partial
from itertools import combinations_with_replacement
import cupy as cp
from cupyx.scipy import ndimage as ndi
from .._shared._gradient import gradient
from .._shared.utils import _supported_float_type
from ..transform i... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/registration | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/registration/tests/test_tvl1.py | import cupy as cp
import numpy as np
import pytest
from cucim.skimage._shared.utils import _supported_float_type
from cucim.skimage.registration import optical_flow_tvl1
from cucim.skimage.transform import warp
def _sin_flow_gen(image0, max_motion=4.5, npics=5):
"""Generate a synthetic ground truth optical flow ... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/registration | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/registration/tests/test_masked_phase_cross_correlation.py | import cupy as cp
import numpy as np
import pytest
from cupyx.scipy.ndimage import fourier_shift, shift as real_shift
from numpy.testing import assert_almost_equal
from skimage.data import camera
from skimage.io import imread
from cucim.skimage._shared.fft import fftmodule as fft
from cucim.skimage._shared.testing imp... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/registration | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/registration/tests/test_phase_cross_correlation.py | import itertools
import cupy as cp
import numpy as np
import pytest
from cupy.testing import assert_allclose
from cupyx.scipy.ndimage import fourier_shift
from skimage.data import camera, eagle
from cucim.skimage import img_as_float
from cucim.skimage._shared._warnings import expected_warnings
from cucim.skimage._sha... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/registration | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/registration/tests/test_ilk.py | import cupy as cp
import numpy as np
import pytest
from test_tvl1 import _sin_flow_gen
from cucim.skimage._shared.utils import _supported_float_type
from cucim.skimage.registration import optical_flow_ilk
@pytest.mark.parametrize("dtype", [cp.float16, cp.float32, cp.float64])
@pytest.mark.parametrize("gaussian", [Tr... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/color/rgb_colors.py | aliceblue = (0.941, 0.973, 1)
antiquewhite = (0.98, 0.922, 0.843)
aqua = (0, 1, 1)
aquamarine = (0.498, 1, 0.831)
azure = (0.941, 1, 1)
beige = (0.961, 0.961, 0.863)
bisque = (1, 0.894, 0.769)
black = (0, 0, 0)
blanchedalmond = (1, 0.922, 0.804)
blue = (0, 0, 1)
blueviolet = (0.541, 0.169, 0.886)
brown = (0.647, 0.165,... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/color/colorlabel.py | import itertools
import cupy as cp
import numpy as np
from .._shared.utils import _supported_float_type, warn
from ..util import img_as_float
from . import rgb_colors
from .colorconv import gray2rgb, hsv2rgb, rgb2hsv
__all__ = ["color_dict", "label2rgb", "DEFAULT_COLORS"]
DEFAULT_COLORS = (
"red",
"blue",
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/color/colorconv.py | """Functions for converting between color spaces.
The "central" color space in this module is RGB, more specifically the linear
sRGB color space using D65 as a white-point [1]_. This represents a
standard monitor (w/o gamma correction). For a good FAQ on color spaces see
[2]_.
The API consists of functions to conver... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/color/__init__.py | from .colorconv import (
ahx_from_rgb,
bex_from_rgb,
bpx_from_rgb,
bro_from_rgb,
combine_stains,
convert_colorspace,
fgx_from_rgb,
gdx_from_rgb,
gray2rgb,
gray2rgba,
hax_from_rgb,
hdx_from_rgb,
hed2rgb,
hed_from_rgb,
hpx_from_rgb,
hsv2rgb,
lab2lch,
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/color/delta_e.py | """
Functions for calculating the "distance" between colors.
Implicit in these definitions of "distance" is the notion of "Just Noticeable
Distance" (JND). This represents the distance between colors where a human can
perceive different colors. Humans are more sensitive to certain colors than
others, which different... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/color/adapt_rgb.py | import functools
import cupy as cp
from .. import color
from ..util.dtype import _convert
__all__ = ["adapt_rgb", "hsv_value", "each_channel"]
def is_rgb_like(image, channel_axis=-1):
"""Return True if the image *looks* like it's RGB.
This function should not be public because it is only intended to be us... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/color | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/color/tests/test_delta_e.py | """Test for correctness of color distance functions"""
import cupy as cp
import numpy as np
import pytest
from cupy.testing import (
assert_allclose,
assert_array_almost_equal,
assert_array_equal,
)
from cucim.skimage._shared.testing import expected_warnings, fetch
from cucim.skimage._shared.utils import ... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/color | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/color/tests/test_colorlabel.py | import itertools
import cupy as cp
import numpy as np
import pytest
from cupy.testing import assert_array_almost_equal, assert_array_equal
from numpy.testing import assert_no_warnings
from cucim.skimage._shared.testing import expected_warnings
from cucim.skimage.color.colorlabel import hsv2rgb, label2rgb, rgb2hsv
d... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/color | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/color/tests/test_colorconv.py | """Tests for color conversion functions.
Authors
-------
- the rgb2hsv test was written by Nicolas Pinto, 2009
- other tests written by Ralf Gommers, 2009
:license: modified BSD
"""
import colorsys
import os
import cupy as cp
import numpy as np
import pytest
from cupy.testing import (
assert_allclose,
asser... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/color | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/color/tests/test_adapt_rgb.py | from functools import partial
import cupy as cp
import numpy as np
from skimage import data
from cucim.skimage import color, filters, img_as_float, img_as_uint
from cucim.skimage.color.adapt_rgb import adapt_rgb, each_channel, hsv_value
# Down-sample image for quicker testing.
COLOR_IMAGE = cp.asarray(data.astronaut... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/color | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/color/tests/ciede2000_test_data.txt | # input, intermediate, and output values for CIEDE2000 dE function
# data taken from "The CIEDE2000 Color-Difference Formula: Implementation Notes, ..." http://www.ece.rochester.edu/~gsharma/ciede2000/ciede2000noteCRNA.pdf
# tab delimited data
# pair 1 L1 a1 b1 ap1 cp1 hp1 hbar1 G T SL SC SH RT dE 2 L2 a2 b2 ap2 cp2 hp... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/restoration/deconvolution.py | """Implementations restoration functions"""
import warnings
import cupy as cp
import numpy as np
from .._shared.utils import _supported_float_type, deprecate_kwarg
from . import uft
__keywords__ = "restoration, image, deconvolution"
def wiener(image, psf, balance, reg=None, is_real=True, clip=True):
r"""Wiener... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/restoration/_denoise.py | import functools
import cupy as cp
from cucim.skimage.util import img_as_float
from .._shared import utils
from .._shared.utils import _supported_float_type
def _denoise_tv_chambolle_nd(image, weight=0.1, eps=2.0e-4, max_num_iter=200):
"""Perform total-variation denoising on n-dimensional images.
Paramete... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/restoration/__init__.py | from ._denoise import denoise_tv_chambolle
from .deconvolution import richardson_lucy, unsupervised_wiener, wiener
from .j_invariant import calibrate_denoiser, denoise_invariant
__all__ = [
"wiener",
"unsupervised_wiener",
"richardson_lucy",
"denoise_tv_chambolle",
"calibrate_denoiser",
"denois... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/restoration/j_invariant.py | import functools
import itertools
import cupy as cp
import numpy as np
import cucim.skimage._vendored.ndimage as ndi
from .._shared.utils import _supported_float_type
from ..metrics import mean_squared_error
from ..util import img_as_float
def _interpolate_image(image, *, multichannel=False):
"""Replacing each... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/restoration/uft.py | r"""Function of unitary fourier transform (uft) and utilities
This module implements the unitary fourier transform, also known as
the ortho-normal transform. It is especially useful for convolution
[1], as it respects the Parseval equality. The value of the null
frequency is equal to
.. math:: \frac{1}{\sqrt{n}} \su... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/restoration | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/restoration/tests/test_denoise.py | import functools
import cupy as cp
import numpy as np
import pytest
from cupy.testing import assert_array_equal
from skimage import color, data, img_as_float
from cucim.skimage import restoration
from cucim.skimage._shared.utils import _supported_float_type, slice_at_axis
from cucim.skimage.metrics import structural_... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/restoration | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/restoration/tests/test_j_invariant.py | import cupy as cp
import numpy as np
import pytest
from skimage.data import camera, chelsea
# from cucim.skimage.restoration import denoise_wavelet
from skimage.restoration import denoise_wavelet
from cucim.skimage._shared.utils import _supported_float_type
from cucim.skimage.data import binary_blobs
from cucim.skima... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/restoration | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/restoration/tests/test_restoration.py | import cupy as cp
import numpy as np
import pytest
from cupyx.scipy import ndimage as ndi
from scipy import signal
from cucim.skimage import restoration
from cucim.skimage._shared.testing import expected_warnings, fetch
from cucim.skimage._shared.utils import _supported_float_type
from cucim.skimage.color import rgb2g... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/exposure/histogram_matching.py | import cupy as cp
from .._shared import utils
def _match_cumulative_cdf(source, template):
"""
Return modified source array so that the cumulative density function of
its values matches the cumulative density function of the template.
"""
if source.dtype.kind == "u":
src_lookup = source.r... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/exposure/_adapthist.py | """
Adapted code from "Contrast Limited Adaptive Histogram Equalization" by Karel
Zuiderveld <karel@cv.ruu.nl>, Graphics Gems IV, Academic Press, 1994.
http://tog.acm.org/resources/GraphicsGems/
Relicensed with permission of the author under the Modified BSD license.
"""
import functools
import itertools
import math
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/exposure/exposure.py | import cupy as cp
import numpy as np
from .._shared import utils
from ..util.dtype import dtype_limits, dtype_range
__all__ = [
"histogram",
"cumulative_distribution",
"equalize_hist",
"rescale_intensity",
"adjust_gamma",
"adjust_log",
"adjust_sigmoid",
]
DTYPE_RANGE = dtype_range.copy()... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/exposure/__init__.py | from ._adapthist import equalize_adapthist
from .exposure import (
adjust_gamma,
adjust_log,
adjust_sigmoid,
cumulative_distribution,
equalize_hist,
histogram,
is_low_contrast,
rescale_intensity,
)
from .histogram_matching import match_histograms
__all__ = [
"histogram",
"equali... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/exposure | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/exposure/tests/test_exposure.py | import platform
import warnings
import cupy as cp
import numpy as np
import pytest
from cupy.testing import assert_array_almost_equal, assert_array_equal
from numpy.testing import assert_almost_equal
from skimage import data
from cucim.skimage import exposure, util
from cucim.skimage._shared._warnings import expected... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/exposure | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/exposure/tests/test_histogram_matching.py | import cupy as cp
import numpy as np
import pytest
from cupy.testing import assert_array_almost_equal
from skimage import data
from cucim.skimage import exposure
from cucim.skimage._shared.utils import _supported_float_type
from cucim.skimage.exposure import histogram_matching
@pytest.mark.parametrize(
"array, t... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/data/_binary_blobs.py | import cupy as cp
from .._shared.filters import gaussian
from .._shared.utils import deprecate_kwarg
@deprecate_kwarg(
{"seed": "rng"}, deprecated_version="23.12.00", removed_version="24.12.00"
)
def binary_blobs(
length=512, blob_size_fraction=0.1, n_dim=2, volume_fraction=0.5, rng=None
):
"""
Gener... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/data/__init__.py | import lazy_loader as lazy
__getattr__, __dir__, __all__ = lazy.attach_stub(__name__, __file__)
| 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/data/__init__.pyi | __all__ = [
"binary_blobs",
]
from ._binary_blobs import binary_blobs
| 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/data | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/data/tests/test_data.py | import cupy as cp
import pytest
from numpy.testing import assert_almost_equal
from cucim.skimage import data
def test_binary_blobs():
blobs = data.binary_blobs(length=128)
assert_almost_equal(blobs.mean(), 0.5, decimal=1)
blobs = data.binary_blobs(length=128, volume_fraction=0.25)
assert_almost_equal... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/_ndimage_interp_kernels.py | import cupy
import numpy
from cucim.skimage._vendored import (
_ndimage_spline_kernel_weights as _spline_kernel_weights,
_ndimage_spline_prefilter_core as _spline_prefilter_core,
_ndimage_util as _util,
)
math_constants_preamble = r"""
// workaround for HIP: line begins with #include
#include <cupy/math_c... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/_ndimage_spline_kernel_weights.py | """Determination of spline kernel weights (adapted from SciPy)
See more verbose comments for each case there:
https://github.com/scipy/scipy/blob/eba29d69846ab1299976ff4af71c106188397ccc/scipy/ndimage/src/ni_splines.c#L7
``spline_weights_inline`` is a dict where the key is the spline order and the
value is the spline... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/signaltools.py | """A vendored subset of cupyx.scipy.signal.signaltools
Note:
The version of ``choose_conv_method`` here differs from the one in CuPy and
does not restrict the choice of fftconvolve to only 1D arrays.
"""
import timeit
import warnings
import cupy
import numpy as np
from cupyx.scipy.ndimage import rank_filter, unifor... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/ndimage.py | # locally defined filters that are more efficient than in CuPy
# measurements
# fourier filters
# additional filters
from cupyx.scipy.ndimage import fourier_ellipsoid # NOQA
from cupyx.scipy.ndimage import fourier_gaussian # NOQA
from cupyx.scipy.ndimage import fourier_shift # NOQA
from cupyx.scipy.ndimage import fo... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/_ndimage_filters_core.py | """A vendored subset of cupyx.scipy.ndimage._filters_core"""
import warnings
import cupy
import numpy
from cucim.skimage._vendored import (
_internal as internal,
_ndimage_util as _util,
)
def _origins_to_offsets(origins, w_shape):
return tuple(x // 2 + o for x, o in zip(w_shape, origins))
def _check_... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/_pearsonr.py | """Implementation of cupyx.scipy.stats.pearsonr (currently missing in CuPy)
Simple port of SciPy's pearsonr in scipy/stats/_stats_py.py.
Note that this is based on the simpler implementation from SciPy<1.9 where the
return type is just a 2-tuple of (statistic, p-value). In SciPy>=1.9, the
return type changed to a Pea... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/_ndimage_spline_prefilter_core.py | """
Spline poles and boundary handling implemented as in SciPy
https://github.com/scipy/scipy/blob/ee6ae72f83a0995aeb34929aed881d3f36fccfda/scipy/ndimage/src/ni_splines.c
""" # noqa: E501
import functools
import math
import operator
import textwrap
import cupy
def get_poles(order):
if order == 2:
# sqr... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/_ndimage_util.py | """A vendored subset of cupyx.scipy.ndimage._util"""
import warnings
import cupy
import numpy
def _is_integer_output(output, input):
if output is None:
return input.dtype.kind in "iu"
elif isinstance(output, cupy.ndarray):
return output.dtype.kind in "iu"
return cupy.dtype(output).kind in... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/_ndimage_filters.py | """A vendored subset of cupyx.scipy.ndimage._filters"""
import warnings
import cupy
import numpy
from cucim.skimage._vendored import (
_internal as internal,
_ndimage_filters_core as _filters_core,
_ndimage_util as _util,
)
from cucim.skimage.filters._separable_filtering import (
ResourceLimitError,
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/pad_elementwise.py | import cupy
def _pad_boundary_ops(mode, var_name, size, int_t="int", no_singleton=False):
T = "int" if int_t == "int" else "long long"
min_func = "min"
max_func = "max"
if mode == "constant":
ops = f"""
if (({var_name} < 0) || {var_name} >= {size}) {{
{var_name} = -1;
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/_signaltools_core.py | """A vendored subset of cupyx.scipy.signal._signaltools_core"""
import cupy
from cupyx.scipy import fft
from cucim.skimage._vendored._ndimage_filters import _get_correlate_kernel
from . import _internal as internal, _ndimage_util as _util
def _check_conv_inputs(in1, in2, mode, convolution=True):
if in1.ndim ==... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/time.py | """Timing utility copied from cupyx.time
added kwargs support to repeat
removed experimental warning
"""
import math
import time
import cupy
import numpy
class _PerfCaseResult(object):
def __init__(self, name, ts, devices):
assert ts.ndim == 2
assert ts.shape[0] == len(devices) + 1
asse... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/_texture.py | import cupy
from cupy import _core
from cupy.cuda import runtime, texture
_affine_transform_2d_array_kernel = _core.ElementwiseKernel(
"U texObj, raw float32 m, uint64 width",
"T transformed_image",
"""
float3 pixel = make_float3(
(float)(i / width),
(float)(i % width),
1.0f
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/_ndimage_interpolation.py | import cmath
import math
import warnings
import cupy
import numpy
from cupy import _core
from cupy.cuda import runtime
from cucim.skimage._vendored import (
_ndimage_interp_kernels as _interp_kernels,
_ndimage_spline_prefilter_core as _spline_prefilter_core,
_ndimage_util as _util,
pad,
)
from cucim.s... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/__init__.py | """
This module will hold copies of any upstream CuPy code that is needed, but has
not yet been merged to CuPy master.
"""
from cucim.skimage._vendored._pearsonr import pearsonr
from cucim.skimage._vendored.pad import pad
from cucim.skimage._vendored.signaltools import * # noqa
| 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/_internal.py | import math
from functools import reduce
from operator import mul
import cupy
import numpy
try:
# try importing Cython-based private axis handling functions from CuPy
if hasattr(cupy, "_core"):
# CuPy 10 renames core->_core
from cupy._core.internal import _normalize_axis_index # NOQA
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/pad.py | """version of cupy.pad that dispatches to elementwise kernels for some boundary
modes: {'edge', 'wrap', 'symmetric', 'reflect'}.
New utility _use_elementwise_kernel determines when to use the new elementwise
kernels, otherwise the existing implementations as in cupy.pad are used.
"""
import numbers
import cupy
impor... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_vendored/_ndimage_morphology.py | import operator
import warnings
import cupy
import numpy
from cupy import _core
from cucim.skimage._vendored import (
_internal as internal,
_ndimage_filters as _filters,
_ndimage_filters_core as _filters_core,
_ndimage_util as _util,
)
@cupy.memoize(for_each_device=True)
def _get_binary_erosion_ker... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/grey.py | import warnings
from .gray import ( # noqa
black_tophat,
closing,
dilation,
erosion,
opening,
white_tophat,
)
__all__ = [
"erosion",
"dilation",
"opening",
"closing",
"white_tophat",
"black_tophat",
]
warnings.warn(
"Importing from cucim.skimage.morphology.grey i... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/footprints.py | import os
from collections.abc import Sequence
from numbers import Integral
import cupy as cp
import numpy as np
from cucim.skimage import morphology
# Precomputed ball and disk decompositions were saved as 2D arrays where the
# radius of the desired decomposition is used to index into the first axis of
# the array.... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/binary.py | """
Binary morphological operations
"""
import functools
import cupy as cp
import cucim.skimage._vendored.ndimage as ndi
from .._shared.utils import deprecate_kwarg
from .footprints import _footprint_is_sequence
from .misc import default_footprint
def _iterate_binary_func(binary_func, image, footprint, out):
"... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/gray.py | """
Grayscale morphological operations
"""
import functools
import cupy as cp
import cucim.skimage._vendored.ndimage as ndi
from .._shared.utils import deprecate_kwarg
from .._vendored import pad
from ..util import crop
from .footprints import _footprint_is_sequence, _shape_from_sequence
from .misc import default_fo... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/misc.py | """Miscellaneous morphology functions."""
import functools
import cupy as cp
import cucim.skimage._vendored.ndimage as ndi
from .._shared.utils import warn
# Our function names don't exactly correspond to ndimages.
# This dictionary translates from our names to scipy's.
funcs = ("erosion", "dilation", "opening", "c... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/grayreconstruct.py | """
This morphological reconstruction routine was adapted from CellProfiler, code
licensed under both GPL and BSD licenses.
Website: http://www.cellprofiler.org
Copyright (c) 2003-2009 Massachusetts Institute of Technology
Copyright (c) 2009-2011 Broad Institute
All rights reserved.
Original author: Lee Kamentsky
"""... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/greyreconstruct.py | import warnings
from .grayreconstruct import reconstruction # noqa
warnings.warn(
"Importing from cucim.skimage.morphology.greyreconstruct is deprecated. "
"Please import from cucim.skimage.morphology instead.",
FutureWarning,
stacklevel=2,
)
| 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/_medial_axis_lookup.py | import numpy as np
# medial axis lookup tables (independent of image content)
#
# Note: lookup table generated using scikit-image code from
# https://github.com/scikit-image/scikit-image/blob/38b595d60befe3a0b4c0742995b9737200a079c6/skimage/morphology/_skeletonize.py#L449-L458 # noqa
# fmt: off
lookup_table = np.arr... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/__init__.py | from ._skeletonize import medial_axis, thin
from .binary import (
binary_closing,
binary_dilation,
binary_erosion,
binary_opening,
)
from .footprints import (
ball,
cube,
diamond,
disk,
octagon,
octahedron,
rectangle,
square,
star,
)
from .gray import (
black_toph... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/_skeletonize.py | import warnings
import cupy as cp
import numpy as np
import cucim.skimage._vendored.ndimage as ndi
from cucim.core.operations.morphology import distance_transform_edt
from .._shared.utils import check_nD, deprecate_kwarg
from ._medial_axis_lookup import (
cornerness_table as _medial_axis_cornerness_table,
lo... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/isotropic.py | """
Binary morphological operations
"""
import cupy as cp
from cucim.core.operations.morphology import distance_transform_edt
def _check_output(out, shape):
"""Check shape and dtype of output array.
Parameters
----------
out : cp.ndarray or None
The array to check
shape : tuple of int
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/tests/test_reconstruction.py | """
These tests are originally part of CellProfiler, code licensed under both GPL
and BSD licenses.
Website: http://www.cellprofiler.org
Copyright (c) 2003-2009 Massachusetts Institute of Technology
Copyright (c) 2009-2011 Broad Institute
All rights reserved.
Original author: Lee Kamentsky
"""
import cupy as cp
import... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/tests/test_misc.py | import cupy as cp
import pytest
from cupy.testing import assert_array_equal
from numpy.testing import assert_equal
from cucim.skimage._shared._warnings import expected_warnings
from cucim.skimage.morphology import remove_small_holes, remove_small_objects
# fmt: off
test_image = cp.array([[0, 0, 0, 1, 0],
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/tests/test_footprints.py | """
Tests for Morphological footprints
(skimage.morphology.footprint)
Author: Damian Eads
"""
import cupy as cp
import numpy as np
import pytest
from cupy.testing import assert_array_equal
from cucim.skimage._shared.testing import fetch
from cucim.skimage.morphology import footprints
class TestSElem:
def test... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/tests/test_gray.py | import cupy as cp
import numpy as np
import pytest
from cupy import testing
from cupyx.scipy import ndimage as ndi
from skimage import data
from cucim.skimage import color, morphology, transform
from cucim.skimage._shared._warnings import expected_warnings
from cucim.skimage._shared.testing import fetch
from cucim.ski... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/tests/test_binary.py | import cupy as cp
import numpy as np
import pytest
from cupy import testing
from cupyx.scipy import ndimage as ndi
from skimage import data
from cucim.skimage import color, morphology
from cucim.skimage._shared._warnings import expected_warnings
from cucim.skimage.util import img_as_bool
img = color.rgb2gray(cp.array... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/tests/test_isotropic.py | import cupy as cp
import numpy as np
import pytest
from cupy.testing import assert_array_equal
from skimage import data
from cucim.skimage import color, morphology
from cucim.skimage.util import img_as_bool
img = color.rgb2gray(cp.asarray(data.astronaut()))
bw_img = img > 100 / 255.0
def test_non_square_image():
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/morphology/tests/test_skeletonize.py | import cupy as cp
import numpy as np
import pytest
from cupy.testing import assert_array_equal
from skimage import data
from skimage.morphology import thin as thin_cpu
from cucim.skimage._shared._warnings import expected_warnings
from cucim.skimage.morphology import medial_axis, thin
class TestThin:
@property
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_shared/_dependency_checks.py | from .version_requirements import is_installed
has_mpl = is_installed("matplotlib", ">=3.3")
if has_mpl:
try:
# will fail with
# ImportError: Failed to import any qt binding
# if only matplotlib-base is installed
from matplotlib import pyplot # noqa
except ImportError:
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_shared/_gradient.py | """
Simplified version of cupy.gradient
This version doesn't support non-unit spacing or 2nd order edges.
Importantly, this version does not promote all integer dtypes to float64, but
instead will promote 8 and 16-bit integer types to float32.
"""
import cupy
from cucim.skimage._shared.utils import _supported_float_... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_shared/coord.py | import cupy as cp
import numpy as np
from scipy.spatial import cKDTree, distance
# TODO: avoid host/device transfers (currently needed for cKDTree)
def _ensure_spacing(coord, spacing, p_norm, max_out):
"""Returns a subset of coord where a minimum spacing is guaranteed.
Parameters
----------
coord : n... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_shared/testing.py | import pytest
from numpy.testing import ( # noqa
TestCase,
assert_,
assert_allclose,
assert_almost_equal,
assert_array_almost_equal,
assert_array_almost_equal_nulp,
assert_array_equal,
assert_array_less,
assert_equal,
assert_no_warnings,
assert_warns,
)
from ._warnings impo... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_shared/fft.py | """Prefer FFTs via the new scipy.fft module when available (SciPy 1.4+)
Otherwise fall back to numpy.fft.
Like numpy 1.15+ scipy 1.3+ is also using pocketfft, but a newer
C++/pybind11 version called pypocketfft
"""
import cupyx.scipy.fft
from cupyx.scipy.fft import next_fast_len
fftmodule = cupyx.scipy.fft
__all__ ... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_shared/filters.py | """Filters used across multiple skimage submodules.
These are defined here to avoid circular imports.
The unit tests remain under skimage/filters/tests/
"""
from collections.abc import Iterable
import cupy as cp
import cucim.skimage._vendored.ndimage as ndi
from .._shared.utils import _supported_float_type, conver... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_shared/_warnings.py | import functools
import os
import re
import sys
import warnings
from contextlib import contextmanager
__all__ = ["all_warnings", "expected_warnings", "warn"]
# A version of `warnings.warn` with a default stacklevel of 2.
# functool is used so as not to increase the call stack accidentally
warn = functools.partial(wa... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_shared/utils.py | import functools
import inspect
import numbers
import warnings
from collections.abc import Iterable
import cupy as cp
import numpy as np
from ._warnings import all_warnings, warn # noqa
__all__ = [
"deprecate_func",
"get_bound_method_class",
"all_warnings",
"safe_as_int",
"check_shape_equality",... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_shared/version_requirements.py | import sys
from packaging import version as _version
def _check_version(actver, version, cmp_op):
"""
Check version string of an active module against a required version.
If dev/prerelease tags result in TypeError for string-number comparison,
it is assumed that the dependency is satisfied.
User... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_shared | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_shared/tests/test_warnings.py | import os
import pytest
from cucim.skimage._shared._warnings import expected_warnings
@pytest.fixture(scope="function")
def setup():
# Remove any environment variable if it exists
old_strictness = os.environ.pop("SKIMAGE_TEST_STRICT_WARNINGS", None)
yield
# Add the user's desired strictness
if o... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_shared | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/_shared/tests/test_utils.py | import sys
import warnings
import cupy as cp
import numpy as np
import pytest
from cucim.skimage._shared.utils import (
_supported_float_type,
_validate_interpolation_order,
change_default_value,
channel_as_last_axis,
check_nD,
deprecate_kwarg,
)
complex_dtypes = [np.complex64, np.complex128]... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/_label.py | import cupy as cp
import scipy.ndimage as cpu_ndi
from ._label_kernels import _label
def _get_structure(ndim, connectivity):
if connectivity is None:
# use the full connectivity by default
connectivity = ndim
if not 1 <= connectivity <= ndim:
raise ValueError("Connectivity below 1 or ... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/_moments.py | import itertools
import cupy as cp
import numpy as np
from .._shared.utils import _supported_float_type, check_nD
from ._moments_analytical import moments_raw_to_central
def moments_coords(coords, order=3):
"""Calculate all raw image moments up to a certain order.
The following properties can be calculated... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/_polygon.py | # TODO: use cupyx.scipy.signal once upstream fftconvolve and
# choose_conv_method for > 1d has been implemented.
import cupy as cp
def approximate_polygon(coords, tolerance):
"""Approximate a polygonal chain with the specified tolerance.
It is based on the Douglas-Peucker algorithm.
Note that the ... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/_label_kernels.py | """Kernels for scikit-image label.
These are copied from CuPy, with modification to add a greyscale_mode
parameter as needed for scikit-image.
"""
import cupy
import numpy
def _label(x, structure, y, greyscale_mode=False):
elems = numpy.where(structure != 0)
vecs = [elems[dm] - 1 for dm in range(x.ndim)]
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/profile.py | import math
import cupy as cp
import numpy as np
import cucim.skimage._vendored.ndimage as ndi
from .._shared.utils import _fix_ndimage_mode, _validate_interpolation_order
def profile_line(
image,
src,
dst,
linewidth=1,
order=None,
mode="reflect",
cval=0.0,
*,
reduce_func=cp.mea... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/_regionprops.py | import inspect
import math
from functools import wraps
from math import pi as PI
from warnings import warn
import cupy as cp
import numpy as np
from cupyx.scipy import ndimage as ndi
from scipy.ndimage import find_objects as cpu_find_objects
from cucim.skimage._vendored import pad
from . import _moments
from ._regio... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/_regionprops_utils.py | import math
import cupy as cp
import cupyx.scipy.ndimage as ndi
import numpy as np
from cucim.skimage._vendored import pad
# Don't allocate STREL_* on GPU as we don't know in advance which device
# fmt: off
STREL_4 = np.array([[0, 1, 0],
[1, 1, 1],
[0, 1, 0]], dtype=np.uint8)
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/_moments_analytical.py | import itertools
import math
import cupy as cp
import numpy as np
_order0_or_1 = """
mc[0] = m[0];
"""
_order2_2d = """
/* Implementation of the commented code below with C-order raveled
* indices into 3 x 3 matrices, m and mc.
*
* mc[0, 0] = m[0, 0];
* cx = m[1, 0] / m[0, 0];
* cy =... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/entropy.py | import cupy as cp
from cupyx.scipy.stats import entropy as scipy_entropy
def shannon_entropy(image, base=2):
"""Calculate the Shannon entropy of an image.
The Shannon entropy is defined as S = -sum(pk * log(pk)),
where pk are frequency/probability of pixels of value k.
Parameters
----------
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/_blur_effect.py | import cupy as cp
import cucim.skimage._vendored.ndimage as ndi
from ..color import rgb2gray
from ..util import img_as_float
__all__ = ["blur_effect"]
def blur_effect(image, h_size=11, channel_axis=None, reduce_func=max):
"""Compute a metric that indicates the strength of blur in an image
(0 for no blur, 1... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/__init__.py | from ._blur_effect import blur_effect
from ._colocalization import (
intersection_coeff,
manders_coloc_coeff,
manders_overlap_coeff,
pearson_corr_coeff,
)
from ._label import label
from ._moments import (
centroid,
inertia_tensor,
inertia_tensor_eigvals,
moments,
moments_central,
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/_colocalization.py | import cupy as cp
from .._shared.utils import as_binary_ndarray, check_shape_equality
from .._vendored import pearsonr
__all__ = [
"pearson_corr_coeff",
"manders_coloc_coeff",
"manders_overlap_coeff",
"intersection_coeff",
]
def pearson_corr_coeff(image0, image1, mask=None):
r"""Calculate Pearso... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/block.py | import cupy as cp
import numpy as np
from .._vendored import pad
from ..util import view_as_blocks
def block_reduce(image, block_size=2, func=cp.sum, cval=0, func_kwargs=None):
"""Downsample image by applying function `func` to local blocks.
This function is useful for max and mean pooling, for example.
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/tests/test_profile.py | import cupy as cp
import numpy as np
from cupy.testing import assert_array_almost_equal, assert_array_equal
from cucim.skimage.measure import profile_line
image = cp.arange(100).reshape((10, 10)).astype(float)
def test_horizontal_rightward():
prof = profile_line(image, (0, 2), (0, 8), order=0, mode="constant")
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/tests/test_blur_effect.py | import cupy as cp
import pytest
from cupy.testing import assert_array_equal
from skimage.data import astronaut
from cucim.skimage.color import rgb2gray
from cucim.skimage.filters import gaussian
from cucim.skimage.measure import blur_effect
def test_blur_effect():
"""Test that the blur metric increases with more... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/tests/test_colocalization.py | import cupy as cp
import numpy as np
import pytest
from cucim.skimage.measure import (
intersection_coeff,
manders_coloc_coeff,
manders_overlap_coeff,
pearson_corr_coeff,
)
def test_invalid_input():
# images are not same size
img1 = cp.array([[i + j for j in range(4)] for i in range(4)])
... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/tests/test_ccomp.py | # Note: These test cases originated in skimage/morphology/tests/test_ccomp.py
import cupy as cp
# import numpy as np
from cupy.testing import assert_array_equal
from cucim.skimage.measure import label
# import pytest
# import cucim.skimage.measure._ccomp as ccomp
BG = 0 # background value
class TestConnectedC... | 0 |
rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure | rapidsai_public_repos/cucim/python/cucim/src/cucim/skimage/measure/tests/test_regionprops.py | import math
import cupy as cp
import cupyx.scipy.ndimage as ndi
import numpy as np
import pytest
from cupy.testing import assert_array_almost_equal, assert_array_equal
from numpy.testing import assert_almost_equal, assert_equal
from skimage import data, draw
from skimage.segmentation import slic
from cucim.skimage im... | 0 |
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