o X۷i@sddlmZddlZddlZddlZddlZddlZddlmZddlm Z ddlm Z ddlm Z ddlm Z ej dd d d Zd d Zd;ddZddZ dddddZ d>dddd Z  d?ddd!d"Z  d@ddd#d$ZdAd%d&ZdBddd'd(Z  dCddd+d,Z  dCddd-d.Z  dCddd/d0Z  dCddd1d2Z     ) * dCddd3d4Z     ) * dCddd5d6Z!     ) * dCddd7d8Z"     ) * dCddd9d:Z#dS)D) annotationsN)_core) _filters_core) _measurements)_util)_filtersT)for_each_devicecCs|r t| }d}d} nt|}d}d} |r"dt|d| d} n dt|d| d} | d|d} d |d | d |d | d | d } d} | rO| d7} | } dt|}tj| | | d||||dd| d|ddS)Nrz bool mv = (bool)mask[i]; bool _in = (bool)x[i]; if (!mv) { y = cast(_in); return; } else if (z && _in == zK) { y = cast(_in); return; }z4 bool _in = (bool)x[i]; if (z y = cast(z);z) if ({cond}) {{ if (!z!) {{ y = cast(z]); return; }} }} else {{ bool nn = {value} ? z : z6; if (!nn) {{ y = cast(z4); return; }} }}binary_erosion_invert)constantYFT)ctype has_weights has_structurehas_maskbinary_morphology)intlenr_generate_nd_kernel)w_shapeint_typeoffsetscenter_is_true border_valueinvertmaskedall_weights_nonzerotrue_val false_valprefoundnamermodesr%U/home/ubuntu/vllm_env/lib/python3.10/site-packages/cupyx/scipy/ndimage/_morphology.py_get_binary_erosion_kernels\       r'cCs&tddt|j|D}t||S)NcSsg|] \}}||dqSr%).0ssoor%r%r& Uz#_center_is_true..)tuplezipshapebool) structureorigincoorr%r%r&_center_is_trueTs r6csdkrSdfddjD}fddtt|Dtfddtt|D}t|t}dk||<t|d }|d urM|St |j d t }fd d|D}||fS) aIterate a structure by dilating it with itself. Args: structure(array_like): Structuring element (an array of bools, for example), to be dilated with itself. iterations(int): The number of dilations performed on the structure with itself. origin(int or tuple of int, optional): If origin is None, only the iterated structure is returned. If not, a tuple of the iterated structure and the modified origin is returned. Returns: cupy.ndarray: A new structuring element obtained by dilating ``structure`` (``iterations`` - 1) times with itself. .. seealso:: :func:`scipy.ndimage.iterate_structure` r)r csg|] }||dqS)r r%r*ii)nir%r&r-nr.z%iterate_structure..csg|] }j|dqSr()r1r7)r9r3r%r&r-osc3s.|]}t||j|dVqdSN)slicer1r7)posr3r%r& ps  z$iterate_structure..r iterationsNr4csg|]}|qSr%r%r*or>r%r&r-{s) copyr1rangerr/cupyzerosr2binary_dilationr_fix_sequence_argndimr)r3r?r4r1slcoutr%)r?r9r<r3r&iterate_structureYs    rKcCs\|dkrd}|dkrtjdtdSttdg|d}tj|d}||k}t|S)aGenerate a binary structure for binary morphological operations. Args: rank(int): Number of dimensions of the array to which the structuring element will be applied, as returned by ``np.ndim``. connectivity(int): ``connectivity`` determines which elements of the output array belong to the structure, i.e., are considered as neighbors of the central element. Elements up to a squared distance of ``connectivity`` from the center are considered neighbors. ``connectivity`` may range from 1 (no diagonal elements are neighbors) to ``rank`` (all elements are neighbors). Returns: cupy.ndarray: Structuring element which may be used for binary morphological operations, with ``rank`` dimensions and all dimensions equal to 3. .. seealso:: :func:`scipy.ndimage.generate_binary_structure` r Tdtyper)rDasarrayr2numpyfabsindicesaddreduce)rank connectivityoutputr%r%r&generate_binary_structures rXaxesc  Cs4zt|}Wn tytdw|jjdkrtd|j} t| | } t| } |dur>t | d}|jdk} d} |j }n7t |t rP|}t|dkrOt dn%|jtdd }|j }|j| krct d |jjslt|}|jdkrut d| | krtj| | |d d }|j }|dur|j |j krt d |jjst|}d}nd}t|| dt}| | krt| | |}t |tjr|jjdkrtdnt}t||}t||d}|r|}t|j|}t|dkrt |t st|rtj|td|d<|Stj|td|d<|St |}t|}t ||}t |t r%t!"|}d} d} ntt#|}||jk} | r7d} nt$||} t%|||| |||| }| rV|rR||f}n|f}n |r_|||f}n||f}|dkrr|g||R}n| r||s|t&dt||drt'dtj(||jd}|}|dkr|d@s||}}|g||R}||k) }d}||ks|dkr |r ||}}| r|r||f}n|f}n |r|||f}n||f}|g||R}||k) }|d7}|s|d@sn ||ks|dkr |s|}|rt*+|||}|S)Nz)iterations parameter should be an integerczComplex type not supportedr Trzstructure must not be emptyF)rMrBz1structure and input must have same dimensionalityr3)footprint_namez$mask and input must have equal sizesr4!Complex output type not supportedMAY_SHARE_BOUNDSrL.z/only brute_force iteration has been implementedz*output and input may not overlap in memory),operatorindex TypeErrorrMkindrHr _check_axesrrXr1 isinstancer/ RuntimeErrorastyper2flags c_contiguousrDascontiguousarraysize_expand_footprintrGr_expand_originndarray _get_output shares_memoryfloatrO _get_inttyper_origins_to_offsetsmathprod count_nonzeror6r'NotImplementedError ValueError empty_likeallrelementwise_copy)inputr3r?maskrWrr4r brute_forcerZrHnum_axesrrstructure_shaper temp_neededtemprrnnz erode_kernelin_argstmp_intmp_outchangedr8r%r%r&_binary_erosions                               rcCsn|durt|d}||jdfSt|tr|f|}n t|tr#t|}t|tr-d}|}nd}|j}|||fS)Nr TF)rXr1rdrlistr/)r3rHsymmetric_structurerr%r%r&_prep_structure.s       rr Fc Cs>t||j}t|t|\}} } t|||||||d||d S)a Multidimensional binary erosion with a given structuring element. Binary erosion is a mathematical morphology operation used for image processing. Args: input(cupy.ndarray): The input binary array_like to be eroded. Non-zero (True) elements form the subset to be eroded. structure(cupy.ndarray or tuple or int, optional): The structuring element used for the erosion. Non-zero elements are considered true. If no structuring element is provided an element is generated with a square connectivity equal to one. If a tuple of integers is provided, a structuring element of the specified shape is used (all elements true). If an integer is provided, the structuring element will have the same size along all axes. (Default value = None). iterations(int, optional): The erosion is repeated ``iterations`` times (one, by default). If iterations is less than 1, the erosion is repeated until the result does not change anymore. Only an integer of iterations is accepted. mask(cupy.ndarray or None, optional): If a mask is given, only those elements with a True value at the corresponding mask element are modified at each iteration. (Default value = None) output(cupy.ndarray, optional): Array of the same shape as input, into which the output is placed. By default, a new array is created. border_value(int (cast to 0 or 1), optional): Value at the border in the output array. (Default value = 0) origin(int or tuple of ints, optional): Placement of the filter, by default 0. brute_force(boolean, optional): Memory condition: if False, only the pixels whose value was changed in the last iteration are tracked as candidates to be updated (eroded) in the current iteration; if True all pixels are considered as candidates for erosion, regardless of what happened in the previous iteration. axes (tuple of int or None): The axes over which to apply the filter. If None, `input` is filtered along all axes. If an `origin` tuple is provided, its length must match the number of axes. Returns: cupy.ndarray: The result of binary erosion. .. warning:: This function may synchronize the device. .. seealso:: :func:`scipy.ndimage.binary_erosion` rrY)rrcrHrrr) r{r3r?r|rWrr4r}rZ_r%r%r&r @s 1  r c Cst||j}t|t|\}} } t|t|dt}| s+|ttdddg|j}t t|D]} ||  || <| | d@sH|| d8<q1t |||||||d||d S)a Multidimensional binary dilation with the given structuring element. Args: input(cupy.ndarray): The input binary array_like to be dilated. Non-zero (True) elements form the subset to be dilated. structure(cupy.ndarray or tuple or int, optional): The structuring element used for the dilation. Non-zero elements are considered true. If no structuring element is provided an element is generated with a square connectivity equal to one. If a tuple of integers is provided, a structuring element of the specified shape is used (all elements true). If an integer is provided, the structuring element will have the same size along all axes. (Default value = None). iterations(int, optional): The dilation is repeated ``iterations`` times (one, by default). If iterations is less than 1, the dilation is repeated until the result does not change anymore. Only an integer of iterations is accepted. mask(cupy.ndarray or None, optional): If a mask is given, only those elements with a True value at the corresponding mask element are modified at each iteration. (Default value = None) output(cupy.ndarray, optional): Array of the same shape as input, into which the output is placed. By default, a new array is created. border_value(int (cast to 0 or 1), optional): Value at the border in the output array. (Default value = 0) origin(int or tuple of ints, optional): Placement of the filter, by default 0. brute_force(boolean, optional): Memory condition: if False, only the pixels whose value was changed in the last iteration are tracked as candidates to be updated (dilated) in the current iteration; if True all pixels are considered as candidates for dilation, regardless of what happened in the previous iteration. axes (tuple of int or None): The axes over which to apply the filter. If None, `input` is filtered along all axes. If an `origin` tuple is provided, its length must match the number of axes. Returns: cupy.ndarray: The result of binary dilation. .. warning:: This function may synchronize the device. .. seealso:: :func:`scipy.ndimage.binary_dilation` r4Nr rY) rrcrHrrrGrr/r;rCr) r{r3r?r|rWrr4r}rZr symmetricr8r%r%r&rFws/    rFc CVt||j}t|t|\}} } t||||d||||d } t| ||||||||d S)a Multidimensional binary opening with the given structuring element. The *opening* of an input image by a structuring element is the *dilation* of the *erosion* of the image by the structuring element. Args: input(cupy.ndarray): The input binary array to be opened. Non-zero (True) elements form the subset to be opened. structure(cupy.ndarray or tuple or int, optional): The structuring element used for the opening. Non-zero elements are considered true. If no structuring element is provided an element is generated with a square connectivity equal to one. If a tuple of integers is provided, a structuring element of the specified shape is used (all elements true). If an integer is provided, the structuring element will have the same size along all axes. (Default value = None). iterations(int, optional): The opening is repeated ``iterations`` times (one, by default). If iterations is less than 1, the opening is repeated until the result does not change anymore. Only an integer of iterations is accepted. output(cupy.ndarray, optional): Array of the same shape as input, into which the output is placed. By default, a new array is created. origin(int or tuple of ints, optional): Placement of the filter, by default 0. mask(cupy.ndarray or None, optional): If a mask is given, only those elements with a True value at the corresponding mask element are modified at each iteration. (Default value = None) border_value(int (cast to 0 or 1), optional): Value at the border in the output array. (Default value = 0) brute_force(boolean, optional): Memory condition: if False, only the pixels whose value was changed in the last iteration are tracked as candidates to be updated (dilated) in the current iteration; if True all pixels are considered as candidates for opening, regardless of what happened in the previous iteration. axes (tuple of int or None): The axes over which to apply the filter. If None, `input` is filtered along all axes. If an `origin` tuple is provided, its length must match the number of axes. Returns: cupy.ndarray: The result of binary opening. .. warning:: This function may synchronize the device. .. seealso:: :func:`scipy.ndimage.binary_opening` NrY)rrcrHrrr rF r{r3r?rWr4r|rr}rZrtmpr%r%r&binary_opening2  rc Cr)a Multidimensional binary closing with the given structuring element. The *closing* of an input image by a structuring element is the *erosion* of the *dilation* of the image by the structuring element. Args: input(cupy.ndarray): The input binary array to be closed. Non-zero (True) elements form the subset to be closed. structure(cupy.ndarray or tuple or int, optional): The structuring element used for the closing. Non-zero elements are considered true. If no structuring element is provided an element is generated with a square connectivity equal to one. If a tuple of integers is provided, a structuring element of the specified shape is used (all elements true). If an integer is provided, the structuring element will have the same size along all axes. (Default value = None). iterations(int, optional): The closing is repeated ``iterations`` times (one, by default). If iterations is less than 1, the closing is repeated until the result does not change anymore. Only an integer of iterations is accepted. output(cupy.ndarray, optional): Array of the same shape as input, into which the output is placed. By default, a new array is created. origin(int or tuple of ints, optional): Placement of the filter, by default 0. mask(cupy.ndarray or None, optional): If a mask is given, only those elements with a True value at the corresponding mask element are modified at each iteration. (Default value = None) border_value(int (cast to 0 or 1), optional): Value at the border in the output array. (Default value = 0) brute_force(boolean, optional): Memory condition: if False, only the pixels whose value was changed in the last iteration are tracked as candidates to be updated (dilated) in the current iteration; if True all pixels are considered as candidates for closing, regardless of what happened in the previous iteration. axes (tuple of int or None): The axes over which to apply the filter. If None, `input` is filtered along all axes. If an `origin` tuple is provided, its length must match the number of axes. Returns: cupy.ndarray: The result of binary closing. .. warning:: This function may synchronize the device. .. seealso:: :func:`scipy.ndimage.binary_closing` NrY)rrcrHrrrFr rr%r%r&binary_closingrrc Cst||j}t|}|durt|d}|durt|}t||dt}|dur,|}nt||dt}t ||dddd|dd|d }t |tj } t ||dd|d|dd|d } | rgt||t |||dSt| | t || S)aX Multidimensional binary hit-or-miss transform. The hit-or-miss transform finds the locations of a given pattern inside the input image. Args: input (cupy.ndarray): Binary image where a pattern is to be detected. structure1 (cupy.ndarray, optional): Part of the structuring element to be fitted to the foreground (non-zero elements) of ``input``. If no value is provided, a structure of square connectivity 1 is chosen. structure2 (cupy.ndarray, optional): Second part of the structuring element that has to miss completely the foreground. If no value is provided, the complementary of ``structure1`` is taken. output (cupy.ndarray, dtype or None, optional): Array of the same shape as input, into which the output is placed. By default, a new array is created. origin1 (int or tuple of ints, optional): Placement of the first part of the structuring element ``structure1``, by default 0 for a centered structure. origin2 (int or tuple of ints or None, optional): Placement of the second part of the structuring element ``structure2``, by default 0 for a centered structure. If a value is provided for ``origin1`` and not for ``origin2``, then ``origin2`` is set to ``origin1``. axes (tuple of int or None): The axes over which to apply the filter. If None, `input` is filtered along all axes. If an `origin` tuple is provided, its length must match the number of axes. Returns: cupy.ndarray: Hit-or-miss transform of ``input`` with the given structuring element (``structure1``, ``structure2``). .. warning:: This function may synchronize the device. .. seealso:: :func:`scipy.ndimage.binary_hit_or_miss` Nr origin1origin2rFrY) rrcrHrrXrD logical_notrGrrrdrm logical_and) r{ structure1 structure2rWrrrZr~tmp1inplaceresultr%r%r&binary_hit_or_miss)s,(      rc Cst||d||||d|d S)a Multidimensional binary propagation with the given structuring element. Args: input (cupy.ndarray): Binary image to be propagated inside ``mask``. structure (cupy.ndarray, optional): Structuring element used in the successive dilations. The output may depend on the structuring element, especially if ``mask`` has several connex components. If no structuring element is provided, an element is generated with a squared connectivity equal to one. mask (cupy.ndarray, optional): Binary mask defining the region into which ``input`` is allowed to propagate. output (cupy.ndarray, optional): Array of the same shape as input, into which the output is placed. By default, a new array is created. border_value (int, optional): Value at the border in the output array. The value is cast to 0 or 1. origin (int or tuple of ints, optional): Placement of the filter. axes (tuple of int or None): The axes over which to apply the filter. If None, `input` is filtered along all axes. If an `origin` tuple is provided, its length must match the number of axes. Returns: cupy.ndarray : Binary propagation of ``input`` inside ``mask``. .. warning:: This function may synchronize the device. .. seealso:: :func:`scipy.ndimage.binary_propagation` rTr}rZ)rF)r{r3r|rWrr4rZr%r%r&binary_propagationjs rc Cs|jtjkr |t}n |jtkr|t}|j}tj|dddd}|}tj ||d\}}d}d|||k<t ||} t ddf|} | | } |durSt | }|St |tjrd|jjdkrctd nt}t||}| |dd<|S) aNon-iterative method for hole filling. This algorithm is based on inverting the input and then using `label` to label the holes distinctly from the background. This information is then used to create a holes mask which can be applied to fill the holes in the original input. Initial benchmarks indicate this is a faster approach than calling binary_dilation iteratively: https://github.com/cupy/cupy/issues/8867#issuecomment-2659471046 r r r)modeconstant_values)r3rNr[r])rMrDuint8viewr2rfrHpadrlabel logical_orr;rirdrmrbrarrn) r{r3rWrH binary_maskinverse_binary_maskinverse_labelsrbackground_indexrremove_paddingr%r%r& _binary_fill_holes_non_iteratives4           rc Cst||j}|tt|jk}t|tr|ft|}tdd|Dr.|r.t |||dS|r5t dt |}t |jt}t|t j}|r^t||d||d|d|d t ||d St||d|d d|d|d }t |||S) aUFill the holes in binary objects. Args: input (cupy.ndarray): N-D binary array with holes to be filled. structure (cupy.ndarray, optional): For CuPy, it is recommended to leave this None so that a faster non-iterative algorithm will be used. This default is equivalent in behavior to the default structure use by SciPy. If `structure` array is provided, the relatively slow iterative algorithm from SciPy will be used. In that case, a larger-size structure can make the iterative computations faster, but may miss holes separated from the background by thin regions. The default element (with a square connectivity equal to one) yields the intuitive result where all holes in the input have been filled. output (cupy.ndarray, dtype or None, optional): Array of the same shape as input, into which the output is placed. By default, a new array is created. origin (int, tuple of ints, optional): Position of the structuring element. Note that if this is changed from its default value of 0, it will force a slower iterative algorithm to be used. axes (tuple of int or None): The axes over which to apply the filter. If None, `input` is filtered along all axes. If an `origin` tuple is provided, its length must match the number of axes. Returns: cupy.ndarray: Transformation of the initial image ``input`` where holes have been filled. .. warning:: This function may synchronize the device. .. warning:: It is recommended to keep the default setting of output=None and origin==0 so that a faster, non-iterative algorithm can be used. .. seealso:: :func:`scipy.ndimage.binary_fill_holes` css|]}|dkVqdS)rNr%r@r%r%r&r=sz$binary_fill_holes..)r3rWzdIt is recommended to keep the default origin=0 so that a faster non-iterative algorithm can be used.rr TrN)rrcrHr/rCrdrrryrwarningswarnrDrrEr1r2rmrF) r{r3rWr4rZfilter_all_axesr|rrr%r%r&binary_fill_holess2)    rreflectc Cs>|dur|dur|durtdtj||||||||d|d S)aCalculates a greyscale erosion. Args: input (cupy.ndarray): The input array. size (tuple of ints): Shape of a flat and full structuring element used for the greyscale erosion. Optional if ``footprint`` or ``structure`` is provided. footprint (array of ints): Positions of non-infinite elements of a flat structuring element used for greyscale erosion. Non-zero values give the set of neighbors of the center over which minimum is chosen. structure (array of ints): Structuring element used for the greyscale erosion. ``structure`` may be a non-flat structuring element. output (cupy.ndarray, dtype or None): The array in which to place the output. mode (str): The array borders are handled according to the given mode (``'reflect'``, ``'constant'``, ``'nearest'``, ``'mirror'``, ``'wrap'``). Default is ``'reflect'``. cval (scalar): Value to fill past edges of input if mode is ``constant``. Default is ``0.0``. origin (scalar or tuple of scalar): The origin parameter controls the placement of the filter, relative to the center of the current element of the input. Default of 0 is equivalent to ``(0,)*input.ndim``. axes (tuple of int or None): The axes over which to apply the filter. If None, `input` is filtered along all axes. If an `origin` tuple is provided, its length must match the number of axes. Returns: cupy.ndarray: The result of greyscale erosion. .. seealso:: :func:`scipy.ndimage.grey_erosion` N.size, footprint or structure must be specifiedminrY)rwr_min_or_max_filter) r{rj footprintr3rWrcvalr4rZr%r%r& grey_erosion s $  rc Cs8|dur|dur|durtd|dur't|}|ttdddg|j}|dur>t|}|ttdddg|j}t||j}t|t |dt }t t |D]7} ||  || <|durh|j | } n|durr|j | } n t |rz|} n|| } | ddkr|| d8<qUtj||||||||d|d S) aCalculates a greyscale dilation. Args: input (cupy.ndarray): The input array. size (tuple of ints): Shape of a flat and full structuring element used for the greyscale dilation. Optional if ``footprint`` or ``structure`` is provided. footprint (array of ints): Positions of non-infinite elements of a flat structuring element used for greyscale dilation. Non-zero values give the set of neighbors of the center over which maximum is chosen. structure (array of ints): Structuring element used for the greyscale dilation. ``structure`` may be a non-flat structuring element. output (cupy.ndarray, dtype or None): The array in which to place the output. mode (str): The array borders are handled according to the given mode (``'reflect'``, ``'constant'``, ``'nearest'``, ``'mirror'``, ``'wrap'``). Default is ``'reflect'``. cval (scalar): Value to fill past edges of input if mode is ``constant``. Default is ``0.0``. origin (scalar or tuple of scalar): The origin parameter controls the placement of the filter, relative to the center of the current element of the input. Default of 0 is equivalent to ``(0,)*input.ndim``. axes (tuple of int or None): The axes over which to apply the filter. If None, `input` is filtered along all axes. If an `origin` tuple is provided, its length must match the number of axes. Returns: cupy.ndarray: The result of greyscale dilation. .. seealso:: :func:`scipy.ndimage.grey_dilation` Nrrr4r)rr maxrY)rwrDarrayr/r;rHrrcrGrrrCr1rPisscalarrr) r{rjrr3rWrrr4rZiszr%r%r& grey_dilation6s4%        rc C`|dur|durtjdtddt||||d} t||||dfi| } t| ||||fi| S)aCalculates a multi-dimensional greyscale closing. Args: input (cupy.ndarray): The input array. size (tuple of ints): Shape of a flat and full structuring element used for the greyscale closing. Optional if ``footprint`` or ``structure`` is provided. footprint (array of ints): Positions of non-infinite elements of a flat structuring element used for greyscale closing. Non-zero values give the set of neighbors of the center over which closing is chosen. structure (array of ints): Structuring element used for the greyscale closing. ``structure`` may be a non-flat structuring element. output (cupy.ndarray, dtype or None): The array in which to place the output. mode (str): The array borders are handled according to the given mode (``'reflect'``, ``'constant'``, ``'nearest'``, ``'mirror'``, ``'wrap'``). Default is ``'reflect'``. cval (scalar): Value to fill past edges of input if mode is ``constant``. Default is ``0.0``. origin (scalar or tuple of scalar): The origin parameter controls the placement of the filter, relative to the center of the current element of the input. Default of 0 is equivalent to ``(0,)*input.ndim``. axes (tuple of int or None): The axes over which to apply the filter. If None, `input` is filtered along all axes. If an `origin` tuple is provided, its length must match the number of axes. Returns: cupy.ndarray: The result of greyscale closing. .. seealso:: :func:`scipy.ndimage.grey_closing` N&ignoring size because footprint is setr) stacklevelrrr4rZ)rr UserWarningdictrr r{rjrr3rWrrr4rZkwargsrr%r%r& grey_closingx$rc Cr)aCalculates a multi-dimensional greyscale opening. Args: input (cupy.ndarray): The input array. size (tuple of ints): Shape of a flat and full structuring element used for the greyscale opening. Optional if ``footprint`` or ``structure`` is provided. footprint (array of ints): Positions of non-infinite elements of a flat structuring element used for greyscale opening. Non-zero values give the set of neighbors of the center over which opening is chosen. structure (array of ints): Structuring element used for the greyscale opening. ``structure`` may be a non-flat structuring element. output (cupy.ndarray, dtype or None): The array in which to place the output. mode (str): The array borders are handled according to the given mode (``'reflect'``, ``'constant'``, ``'nearest'``, ``'mirror'``, ``'wrap'``). Default is ``'reflect'``. cval (scalar): Value to fill past edges of input if mode is ``constant``. Default is ``0.0``. origin (scalar or tuple of scalar): The origin parameter controls the placement of the filter, relative to the center of the current element of the input. Default of 0 is equivalent to ``(0,)*input.ndim``. axes (tuple of int or None): The axes over which to apply the filter. If None, `input` is filtered along all axes. If an `origin` tuple is provided, its length must match the number of axes. Returns: cupy.ndarray: The result of greyscale opening. .. seealso:: :func:`scipy.ndimage.grey_opening` Nrr)rr)rrrrrrrr%r%r& grey_openingrrc Csvt||||d} t||||dfi| } t|tjr-t|||||fi| t| ||S| t||||dfi| S)al Multidimensional morphological gradient. The morphological gradient is calculated as the difference between a dilation and an erosion of the input with a given structuring element. Args: input (cupy.ndarray): The input array. size (tuple of ints): Shape of a flat and full structuring element used for the morphological gradient. Optional if ``footprint`` or ``structure`` is provided. footprint (array of ints): Positions of non-infinite elements of a flat structuring element used for morphological gradient. Non-zero values give the set of neighbors of the center over which opening is chosen. structure (array of ints): Structuring element used for the morphological gradient. ``structure`` may be a non-flat structuring element. output (cupy.ndarray, dtype or None): The array in which to place the output. mode (str): The array borders are handled according to the given mode (``'reflect'``, ``'constant'``, ``'nearest'``, ``'mirror'``, ``'wrap'``). Default is ``'reflect'``. cval (scalar): Value to fill past edges of input if mode is ``constant``. Default is ``0.0``. origin (scalar or tuple of scalar): The origin parameter controls the placement of the filter, relative to the center of the current element of the input. Default of 0 is equivalent to ``(0,)*input.ndim``. axes (tuple of int or None): The axes over which to apply the filter. If None, `input` is filtered along all axes. If an `origin` tuple is provided, its length must match the number of axes. Returns: cupy.ndarray: The morphological gradient of the input. .. seealso:: :func:`scipy.ndimage.morphological_gradient` rN)rrrdrDrmrsubtractrr%r%r&morphological_gradients2  rc Cst||||d} t||||dfi| } t|tjr;t|||||fi| t| ||t|||t|||St||||dfi| } t| | | t| || t| || | S)a Multidimensional morphological laplace. Args: input (cupy.ndarray): The input array. size (tuple of ints): Shape of a flat and full structuring element used for the morphological laplace. Optional if ``footprint`` or ``structure`` is provided. footprint (array of ints): Positions of non-infinite elements of a flat structuring element used for morphological laplace. Non-zero values give the set of neighbors of the center over which opening is chosen. structure (array of ints): Structuring element used for the morphological laplace. ``structure`` may be a non-flat structuring element. output (cupy.ndarray, dtype or None): The array in which to place the output. mode (str): The array borders are handled according to the given mode (``'reflect'``, ``'constant'``, ``'nearest'``, ``'mirror'``, ``'wrap'``). Default is ``'reflect'``. cval (scalar): Value to fill past edges of input if mode is ``constant``. Default is ``0.0``. origin (scalar or tuple of scalar): The origin parameter controls the placement of the filter, relative to the center of the current element of the input. Default of 0 is equivalent to ``(0,)*input.ndim``. axes (tuple of int or None): The axes over which to apply the filter. If None, `input` is filtered along all axes. If an `origin` tuple is provided, its length must match the number of axes. Returns: cupy.ndarray: The morphological laplace of the input. .. seealso:: :func:`scipy.ndimage.morphological_laplace` rN)rrrdrDrmrrSr) r{rjrr3rWrrr4rZrrtmp2r%r%r&morphological_laplace s/ rc Cs|dur|durtjdtddt||||d} t||||dfi| } t| ||||fi| } |jtjkrF| jtjkrFt j || | d| St j || | d| S)a Multidimensional white tophat filter. Args: input (cupy.ndarray): The input array. size (tuple of ints): Shape of a flat and full structuring element used for the white tophat. Optional if ``footprint`` or ``structure`` is provided. footprint (array of ints): Positions of non-infinite elements of a flat structuring element used for the white tophat. Non-zero values give the set of neighbors of the center over which opening is chosen. structure (array of ints): Structuring element used for the white tophat. ``structure`` may be a non-flat structuring element. output (cupy.ndarray, dtype or None): The array in which to place the output. mode (str): The array borders are handled according to the given mode (``'reflect'``, ``'constant'``, ``'nearest'``, ``'mirror'``, ``'wrap'``). Default is ``'reflect'``. cval (scalar): Value to fill past edges of input if mode is ``constant``. Default is ``0.0``. origin (scalar or tuple of scalar): The origin parameter controls the placement of the filter, relative to the center of the current element of the input. Default of 0 is equivalent to ``(0,)*input.ndim``. axes (tuple of int or None): The axes over which to apply the filter. If None, `input` is filtered along all axes. If an `origin` tuple is provided, its length must match the number of axes. Returns: cupy.ndarray: Result of the filter of ``input`` with ``structure``. .. seealso:: :func:`scipy.ndimage.white_tophat` Nrr)rrrJ) rrrrrrrMrPbool_rD bitwise_xorrrr%r%r& white_tophatK.rc Cs|dur|durtjdtddt||||d} t||||dfi| } t| ||||fi| } |jtjkrF| jtjkrFt j | || d| St j | || d| S)a Multidimensional black tophat filter. Args: input (cupy.ndarray): The input array. size (tuple of ints): Shape of a flat and full structuring element used for the black tophat. Optional if ``footprint`` or ``structure`` is provided. footprint (array of ints): Positions of non-infinite elements of a flat structuring element used for the black tophat. Non-zero values give the set of neighbors of the center over which opening is chosen. structure (array of ints): Structuring element used for the black tophat. ``structure`` may be a non-flat structuring element. output (cupy.ndarray, dtype or None): The array in which to place the output. mode (str): The array borders are handled according to the given mode (``'reflect'``, ``'constant'``, ``'nearest'``, ``'mirror'``, ``'wrap'``). Default is ``'reflect'``. cval (scalar): Value to fill past edges of input if mode is ``constant``. Default is ``0.0``. origin (scalar or tuple of scalar): The origin parameter controls the placement of the filter, relative to the center of the current element of the input. Default of 0 is equivalent to ``(0,)*input.ndim``. axes (tuple of int or None): The axes over which to apply the filter. If None, `input` is filtered along all axes. If an `origin` tuple is provided, its length must match the number of axes. Returns: cupy.ndarry : Result of the filter of ``input`` with ``structure``. .. seealso:: :func:`scipy.ndimage.black_tophat` Nrr)rrr) rrrrrrrMrPrrDrrrr%r%r& black_tophatrrr:)T)Nr NNrrF)Nr NrNrF)NNNrN)NNNrr)NN)NNr)NNNNrrr)$ __future__rrsr_rrPrDrcupyx.scipy.ndimagerrrrmemoizer'r6rKrXrrr rFrrrrrrrrrrrrrrr%r%r%r&s        A &  7 > : : A $8 D , B , . ? @ >