|h-4ddlZddlZddlmZddlmZddlmZdZ dZ ddd d Z ddd d Z ddd d Z ddd d Zy)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 Y/var/www/html/test/engine/venv/lib/python3.12/site-packages/skimage/transform/pyramids.py_smoothr s`}}U#H#ejj0 EJJN+      !  Oc$|dkr tdy)Nrz#scale factor must be greater than 1) ValueError)factors r _check_factorr s {>??rr c<tt||}8|jztfdt |j D}ntfd|j D}|dzdz }t ||||} t| ||||d} | S)a6Smooth and then downsample image. Parameters ---------- image : ndarray Input image. downscale : float, optional Downscale factor. sigma : float, optional Sigma for Gaussian filter. Default is `2 * downscale / 6.0` which corresponds to a filter mask twice the size of the scale factor that covers more than 99% of the Gaussian distribution. order : int, optional Order of splines used in interpolation of downsampling. See `skimage.transform.warp` for detail. mode : {'reflect', 'constant', 'edge', 'symmetric', 'wrap'}, optional The mode parameter determines how the array borders are handled, where cval is the value when mode is equal to 'constant'. cval : float, optional Value to fill past edges of input if mode is 'constant'. preserve_range : bool, optional Whether to keep the original range of values. Otherwise, the input image is converted according to the conventions of `img_as_float`. Also see https://scikit-image.org/docs/dev/user_guide/data_types.html channel_axis : int or None, optional If None, the image is assumed to be a grayscale (single channel) image. Otherwise, this parameter indicates which axis of the array corresponds to channels. .. versionadded:: 0.19 ``channel_axis`` was added in 0.19. Returns ------- out : array Smoothed and downsampled float image. References ---------- .. [1] http://persci.mit.edu/pub_pdfs/pyramid83.pdf c3tK|]/\}}|k7r!tj|tz n|1ywNmathceilfloat.0axdr downscales r z!pyramid_reduce.._s< A02\/ADIIa% ** +q H 58c3`K|]%}tj|tz 'ywrrr#r%r&s rr'z!pyramid_reduce..ds$Oa$))Ai(8$89O+.r@Forderr r anti_aliasing)rrrtuple enumerateshaperr) rr&r r.r r preserve_ranger out_shaperr s ` ` rpyramid_reducer5%sj) UN 3E#ejj0  "5;;/  O5;;OO  }I #ueT4>H )5t$e C Jrc<tt||}8|jztfdt |j D}ntfd|j D}|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 c3bK|]&\}}|k7rtj|zn|(ywrrr )r#r$r%r upscales rr'z!pyramid_expand..s6 A')L&8DIIgk "a ? s,/c3NK|]}tj|zywrr8)r#r%r9s rr'z!pyramid_expand..sFQ$))GaK0Fs"%rr,Fr-)rrrr0r1r2rr) rr9r r.r r r3r r4resizedr s ` ` rpyramid_expandr<rsj' UN 3E#ejj0  "5;;/  F%++FF  }G c! yDt5G '5$l ;C Jrc #Kt|t||}d} |j} |} || |k7r8| dz } t| ||||||} | } | } | j} | | k(ry| | |k7r7yyw)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)rrr2r5)r max_layerr&r r.r r r3r layer current_shapeprev_layer_image layer_image prev_shapes rpyramid_gaussianrDsB) UN 3E EKKM K 9   $      % # &#))  J & + 9 s A'A,*A,c #jKtt||}|dzdz }|j} t||||} || z 7|jzt | } | j t| } n| } |dk(r2tjtjt| }t|D]j} tfdt| D} ntfd| D} t| | |||d}t||||} |j} || z lyw) 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,c3tK|]/\}}|k7r!tj|tz n|1ywrrr"s rr'z$pyramid_laplacian..s<B463E !eI../1Lr(c3`K|]%}tj|tz 'ywrrr*s rr'z$pyramid_laplacian..s$U!diiE),<(<=Ur+Fr-)rrr2rrlistpopr0rr logmaxranger1r)rr>r&r r.r r r3r r@smoothed_imageshape_without_channelsr?r4 resized_images ` ` rpyramid_laplacianrQ$sNJ) UN 3E }I #KKMUE4|DN .  #ejj0 !%m!4""<0!&'=!>!.BIIdhhs+A'BINO y!-  #&}5I U}UUI    !tT<P%++ n,,)-sD/D3)rNrreflectrF)rFrNrrRrF)rnumpyr_shared.filtersr _shared.utilsr_warpsrrrr5r<rDrQrrrXs &,,@   JJ^    II\   ccP   t-t-r