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https://github.com/wassname/scikit-image.git
synced 2026-06-30 01:06:21 +08:00
fix:remove unused parameters in rank.percentile
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@@ -299,11 +299,11 @@ def percentile(cnp.ndarray[dtype_t, ndim=2] image,
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cnp.ndarray[cnp.uint8_t, ndim=2] mask=None,
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cnp.ndarray[dtype_t, ndim=2] out=None,
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char shift_x=0, char shift_y=0, int bitdepth=8,
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float p0=0., float p1=0.):
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float p0=0.):
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"""return p0 percentile
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"""
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_core16(kernel_percentile, image, selem, mask, out, shift_x, shift_y,
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bitdepth, p0, p1, <Py_ssize_t>0, <Py_ssize_t>0)
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bitdepth, p0, .0, <Py_ssize_t>0, <Py_ssize_t>0)
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def pop(cnp.ndarray[dtype_t, ndim=2] image,
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@@ -323,8 +323,8 @@ def threshold(cnp.ndarray[dtype_t, ndim=2] image,
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cnp.ndarray[cnp.uint8_t, ndim=2] mask=None,
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cnp.ndarray[dtype_t, ndim=2] out=None,
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char shift_x=0, char shift_y=0, int bitdepth=8,
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float p0=0., float p1=0.):
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float p0=0.):
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"""return (maxbin-1) if g > percentile p0
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"""
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_core16(kernel_threshold, image, selem, mask, out, shift_x, shift_y,
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bitdepth, p0, p1, <Py_ssize_t>0, <Py_ssize_t>0)
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bitdepth, p0, 0., <Py_ssize_t>0, <Py_ssize_t>0)
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@@ -265,11 +265,11 @@ def percentile(cnp.ndarray[dtype_t, ndim=2] image,
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cnp.ndarray[dtype_t, ndim=2] selem,
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cnp.ndarray[dtype_t, ndim=2] mask=None,
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cnp.ndarray[dtype_t, ndim=2] out=None,
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char shift_x=0, char shift_y=0, float p0=0., float p1=0.):
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char shift_x=0, char shift_y=0, float p0=0.):
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"""return p0 percentile
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"""
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_core8(kernel_percentile, image, selem, mask, out, shift_x, shift_y,
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p0, p1, <Py_ssize_t>0, <Py_ssize_t>0)
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p0, 0., <Py_ssize_t>0, <Py_ssize_t>0)
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def pop(cnp.ndarray[dtype_t, ndim=2] image,
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@@ -287,8 +287,8 @@ def threshold(cnp.ndarray[dtype_t, ndim=2] image,
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cnp.ndarray[dtype_t, ndim=2] selem,
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cnp.ndarray[dtype_t, ndim=2] mask=None,
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cnp.ndarray[dtype_t, ndim=2] out=None,
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char shift_x=0, char shift_y=0, float p0=0., float p1=0.):
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char shift_x=0, char shift_y=0, float p0=0.):
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"""return 255 if g > percentile p0
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"""
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_core8(kernel_threshold, image, selem, mask, out, shift_x, shift_y, p0, p1,
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_core8(kernel_threshold, image, selem, mask, out, shift_x, shift_y, p0, 0.,
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<Py_ssize_t>0, <Py_ssize_t>0)
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@@ -275,7 +275,7 @@ def percentile_morph_contr_enh(
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def percentile(image, selem, out=None, mask=None, shift_x=False, shift_y=False,
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p0=.0, p1=1.):
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p0=.0):
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"""Return greyscale local percentile of an image.
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percentile is computed on the given structuring element. Returns the value
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@@ -298,8 +298,8 @@ def percentile(image, selem, out=None, mask=None, shift_x=False, shift_y=False,
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Offset added to the structuring element center point. Shift is bounded
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to the structuring element sizes (center must be inside the given
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structuring element).
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p0, p1 : float in [0, ..., 1]
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Define the percentile p0. The p1 value is unused.
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p0 : float in [0, ..., 1]
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Set the percentile value.
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Returns
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-------
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@@ -311,7 +311,7 @@ def percentile(image, selem, out=None, mask=None, shift_x=False, shift_y=False,
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return _apply(_crank8_percentiles.percentile,
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_crank16_percentiles.percentile,
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image, selem, out=out, mask=mask, shift_x=shift_x,
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shift_y=shift_y, p0=p0, p1=p1)
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shift_y=shift_y, p0=p0, p1=0.)
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def percentile_pop(image, selem, out=None, mask=None, shift_x=False,
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@@ -355,7 +355,7 @@ def percentile_pop(image, selem, out=None, mask=None, shift_x=False,
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def percentile_threshold(image, selem, out=None, mask=None, shift_x=False,
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shift_y=False, p0=.0, p1=1.):
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shift_y=False, p0=.0):
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"""Return greyscale local threshold of an image.
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threshold is computed on the given structuring element. Returns
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@@ -380,8 +380,8 @@ def percentile_threshold(image, selem, out=None, mask=None, shift_x=False,
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Offset added to the structuring element center point. Shift is bounded
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to the structuring element sizes (center must be inside the given
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structuring element).
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p0, p1 : float in [0, ..., 1]
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Define the percentile p0. The p1 value is unused.
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p0 : float in [0, ..., 1]
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Set the percentile value.
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Returns
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-------
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@@ -393,4 +393,4 @@ def percentile_threshold(image, selem, out=None, mask=None, shift_x=False,
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return _apply(
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_crank8_percentiles.threshold, _crank16_percentiles.threshold,
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image, selem, out=out, mask=mask, shift_x=shift_x,
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shift_y=shift_y, p0=p0, p1=p1)
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shift_y=shift_y, p0=p0, p1=0.)
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