scikit-image

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# Explicitly setting `__all__` is necessary for type inference engines
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# to know which symbols are exported. See
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# https://peps.python.org/pep-0484/#stub-files
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__all__ = [
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    'canny',
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    'Cascade',
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    'daisy',
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    'hog',
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    'graycomatrix',
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    'graycoprops',
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    'local_binary_pattern',
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    'multiblock_lbp',
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    'draw_multiblock_lbp',
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    'peak_local_max',
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    'structure_tensor',
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    'structure_tensor_eigenvalues',
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    'hessian_matrix',
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    'hessian_matrix_det',
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    'hessian_matrix_eigvals',
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    'shape_index',
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    'corner_kitchen_rosenfeld',
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    'corner_harris',
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    'corner_shi_tomasi',
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    'corner_foerstner',
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    'corner_subpix',
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    'corner_peaks',
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    'corner_moravec',
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    'corner_fast',
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    'corner_orientations',
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    'match_template',
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    'BRIEF',
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    'CENSURE',
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    'ORB',
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    'SIFT',
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    'match_descriptors',
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    'plot_matched_features',
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    'blob_dog',
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    'blob_doh',
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    'blob_log',
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    'haar_like_feature',
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    'haar_like_feature_coord',
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    'draw_haar_like_feature',
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    'multiscale_basic_features',
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    'learn_gmm',
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    'fisher_vector',
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]
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from ._canny import canny
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from ._cascade import Cascade
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from ._daisy import daisy
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from ._hog import hog
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from .texture import (
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    graycomatrix,
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    graycoprops,
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    local_binary_pattern,
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    multiblock_lbp,
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    draw_multiblock_lbp,
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)
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from .peak import peak_local_max
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from .corner import (
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    corner_kitchen_rosenfeld,
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    corner_harris,
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    corner_shi_tomasi,
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    corner_foerstner,
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    corner_subpix,
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    corner_peaks,
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    corner_fast,
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    structure_tensor,
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    structure_tensor_eigenvalues,
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    hessian_matrix,
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    hessian_matrix_eigvals,
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    hessian_matrix_det,
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    corner_moravec,
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    corner_orientations,
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    shape_index,
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)
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from .template import match_template
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from .brief import BRIEF
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from .censure import CENSURE
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from .orb import ORB
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from .sift import SIFT
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from .match import match_descriptors
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from .util import plot_matched_features
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from .blob import blob_dog, blob_log, blob_doh
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from .haar import haar_like_feature, haar_like_feature_coord, draw_haar_like_feature
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from ._basic_features import multiscale_basic_features
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from ._fisher_vector import learn_gmm, fisher_vector
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