1-Ph-4ddlZddlZddlmZddlmZddlmZdZ dZ ddd d Z ddd d Z ddd dZ ddd dZdS)N)gaussian)convert_to_float)resizectj|}|||jz}|f|jdz z}nd}t|||||||S)z?Return image with each channel smoothed by the Gaussian filter.Nr)sigmaoutmodecval channel_axis)np empty_likendimr)imager r r r smootheds Z/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/skimage/transform/pyramids.py_smoothr sn}U##H#ej0 EJN+      !  Oc0|dkrtddS)Nrz#scale factor must be greater than 1) ValueError)factors r _check_factorr s! {{>???{rreflectFr cbtt||}9|jztfdt |jD}n tfd|jD}|dzdz }t ||||} t| ||||d} | S)a6Smooth and then downsample image. Parameters ---------- image : ndarray Input image. downscale : float, optional Downscale factor. sigma : float, optional Sigma for Gaussian filter. Default is `2 * downscale / 6.0` which corresponds to a filter mask twice the size of the scale factor that covers more than 99% of the Gaussian distribution. order : int, optional Order of splines used in interpolation of downsampling. See `skimage.transform.warp` for detail. mode : {'reflect', 'constant', 'edge', 'symmetric', 'wrap'}, optional The mode parameter determines how the array borders are handled, where cval is the value when mode is equal to 'constant'. cval : float, optional Value to fill past edges of input if mode is 'constant'. preserve_range : bool, optional Whether to keep the original range of values. Otherwise, the input image is converted according to the conventions of `img_as_float`. Also see https://scikit-image.org/docs/dev/user_guide/data_types.html channel_axis : int or None, optional If None, the image is assumed to be a grayscale (single channel) image. Otherwise, this parameter indicates which axis of the array corresponds to channels. .. versionadded:: 0.19 ``channel_axis`` was added in 0.19. Returns ------- out : array Smoothed and downsampled float image. References ---------- .. [1] http://persci.mit.edu/pub_pdfs/pyramid83.pdf Nc3vK|]3\}}|kr$tj|tz n|V4dSNmathceilfloat.0axdr downscales r z!pyramid_reduce.._sa  A02\/A/ADIa% *** + + +q      rc3`K|](}tj|tz V)dSrrr$r&r's rr(z!pyramid_reduce..ds:OOa$)Ai(8(8$899OOOOOOrr@Forderr r anti_aliasing)rrrtuple enumerateshaperr) rr'r r-r r preserve_ranger out_shaperr s ` ` rpyramid_reducer4%sj) UN 3 3E#ej0      "5;//     OOOO5;OOOOO  }I #ueT4>>H )5t$e   C Jrcbtt||}9|jztfdt |jD}n tfd|jD}|dzdz }t |||||d} t| |||} | S)a*Upsample and then smooth image. Parameters ---------- image : ndarray Input image. upscale : float, optional Upscale factor. sigma : float, optional Sigma for Gaussian filter. Default is `2 * upscale / 6.0` which corresponds to a filter mask twice the size of the scale factor that covers more than 99% of the Gaussian distribution. order : int, optional Order of splines used in interpolation of upsampling. See `skimage.transform.warp` for detail. mode : {'reflect', 'constant', 'edge', 'symmetric', 'wrap'}, optional The mode parameter determines how the array borders are handled, where cval is the value when mode is equal to 'constant'. cval : float, optional Value to fill past edges of input if mode is 'constant'. preserve_range : bool, optional Whether to keep the original range of values. Otherwise, the input image is converted according to the conventions of `img_as_float`. Also see https://scikit-image.org/docs/dev/user_guide/data_types.html channel_axis : int or None, optional If None, the image is assumed to be a grayscale (single channel) image. Otherwise, this parameter indicates which axis of the array corresponds to channels. .. versionadded:: 0.19 ``channel_axis`` was added in 0.19. Returns ------- out : array Upsampled and smoothed float image. References ---------- .. [1] http://persci.mit.edu/pub_pdfs/pyramid83.pdf Nc3\K|]&\}}|krtj|zn|V'dSrr r!)r$r%r&r upscales rr(z!pyramid_expand..sX  A')L&8&8DIgk " " "a      rc3FK|]}tj|zVdSrr7)r$r&r8s rr(z!pyramid_expand..s1FFQ$)GaK00FFFFFFrrr+Fr,)rrrr/r0r1rr) rr8r r-r r r2r r3resizedr s ` ` rpyramid_expandr;rsj' UN 3 3E#ej0      "5;//     FFFF%+FFFFF  }G c! yDt5G '5$l ; ;C Jrc #Kt|t||}d} |j} |} |V| |kr:| dz } t| ||||||} | } | } | j} | | krdS| V| |k8dSdS)aYield images of the Gaussian pyramid formed by the input image. Recursively applies the `pyramid_reduce` function to the image, and yields the downscaled images. Note that the first image of the pyramid will be the original, unscaled image. The total number of images is `max_layer + 1`. In case all layers are computed, the last image is either a one-pixel image or the image where the reduction does not change its shape. Parameters ---------- image : ndarray Input image. max_layer : int, optional Number of layers for the pyramid. 0th layer is the original image. Default is -1 which builds all possible layers. downscale : float, optional Downscale factor. sigma : float, optional Sigma for Gaussian filter. Default is `2 * downscale / 6.0` which corresponds to a filter mask twice the size of the scale factor that covers more than 99% of the Gaussian distribution. order : int, optional Order of splines used in interpolation of downsampling. See `skimage.transform.warp` for detail. mode : {'reflect', 'constant', 'edge', 'symmetric', 'wrap'}, optional The mode parameter determines how the array borders are handled, where cval is the value when mode is equal to 'constant'. cval : float, optional Value to fill past edges of input if mode is 'constant'. preserve_range : bool, optional Whether to keep the original range of values. Otherwise, the input image is converted according to the conventions of `img_as_float`. Also see https://scikit-image.org/docs/dev/user_guide/data_types.html channel_axis : int or None, optional If None, the image is assumed to be a grayscale (single channel) image. Otherwise, this parameter indicates which axis of the array corresponds to channels. .. versionadded:: 0.19 ``channel_axis`` was added in 0.19. Returns ------- pyramid : generator Generator yielding pyramid layers as float images. References ---------- .. [1] http://persci.mit.edu/pub_pdfs/pyramid83.pdf rrrN)rrr1r4)r max_layerr'r r-r r r2r layer current_shapeprev_layer_image layer_image prev_shapes rpyramid_gaussianrDsB) UN 3 3E EKM KKK 9    $      %   # &#)  J & & E+ 9      rc #Ktt||}|dzdz }|j} t||||} || z V>|jzt | } | t| } n| } |dkr4tj tj t| }t|D]} *tfdt| D} ntfd| D} t| | |||d}t||||} |j} || z VdS) ag Yield images of the laplacian pyramid formed by the input image. Each layer contains the difference between the downsampled and the downsampled, smoothed image:: layer = resize(prev_layer) - smooth(resize(prev_layer)) Note that the first image of the pyramid will be the difference between the original, unscaled image and its smoothed version. The total number of images is `max_layer + 1`. In case all layers are computed, the last image is either a one-pixel image or the image where the reduction does not change its shape. Parameters ---------- image : ndarray Input image. max_layer : int, optional Number of layers for the pyramid. 0th layer is the original image. Default is -1 which builds all possible layers. downscale : float, optional Downscale factor. sigma : float, optional Sigma for Gaussian filter. Default is `2 * downscale / 6.0` which corresponds to a filter mask twice the size of the scale factor that covers more than 99% of the Gaussian distribution. order : int, optional Order of splines used in interpolation of downsampling. See `skimage.transform.warp` for detail. mode : {'reflect', 'constant', 'edge', 'symmetric', 'wrap'}, optional The mode parameter determines how the array borders are handled, where cval is the value when mode is equal to 'constant'. cval : float, optional Value to fill past edges of input if mode is 'constant'. preserve_range : bool, optional Whether to keep the original range of values. Otherwise, the input image is converted according to the conventions of `img_as_float`. Also see https://scikit-image.org/docs/dev/user_guide/data_types.html channel_axis : int or None, optional If None, the image is assumed to be a grayscale (single channel) image. Otherwise, this parameter indicates which axis of the array corresponds to channels. .. versionadded:: 0.19 ``channel_axis`` was added in 0.19. Returns ------- pyramid : generator Generator yielding pyramid layers as float images. References ---------- .. [1] http://persci.mit.edu/pub_pdfs/pyramid83.pdf .. [2] http://sepwww.stanford.edu/data/media/public/sep/morgan/texturematch/paper_html/node3.html Nrr+r<c3vK|]3\}}|kr$tj|tz n|V4dSrrr#s rr(z$pyramid_laplacian..saB463E3E !eI...///1rc3`K|](}tj|tz V)dSrrr*s rr(z$pyramid_laplacian..s:UU!diE),<,<(<==UUUUUUrFr,)rrr1rrlistpopr/r r!logmaxranger0r)rr>r'r r-r r r2r r@smoothed_imageshape_without_channelsr?r3 resized_images ` ` rpyramid_laplacianrP$sJ) UN 3 3E }I #KMUE4|DDN .    #ej0 !%m!4!4""<000!&'=!>!>!.BIdhs+A'B'BINNOO y!!--  #&}55II UUUU}UUUUUI      !tT<PP%+ n,,,,,)--r)rNrrrF)r<rNrrrF)r numpyr_shared.filtersr _shared.utilsr_warpsrrrr4r;rDrPrrrVsz &&&&&&,,,,,,,@@@   JJJJJJ^    IIIIII\   ccccccP   t-t-t-t-t-t-t-t-r