9i-4SSKrSSKrSSKJr SSKJr SSKJr Sr Sr SSS .S jjr SSS .S jjr SSS .S jjr SSS .S jjrg)N)gaussian)convert_to_float)resizec [R"U5nUb"X@R-nU4URS- -nOSn[UUUUUUS9 U$)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/land-doc-ocr/venv/lib/python3.13/site-packages/skimage/transform/pyramids.py_smoothr s^}}U#H#jj0 EJJN+      !  Oc&US::a [S5eg)Nrz#scale factor must be greater than 1) ValueError)factors r _check_factorr s {>??rr c 4^^[T5 [X5nTb9TUR-m[UU4Sj[ UR 555nO[U4SjUR 55nUcST-S- n[ XXET5n [XX4USS9n U $)aSmooth and then downsample image. Parameters ---------- image : ndarray Input image. downscale : float, optional Downscale factor. sigma : float, optional Sigma for Gaussian filter. Default is `2 * downscale / 6.0` which corresponds to a filter mask twice the size of the scale factor that covers more than 99% of the Gaussian distribution. order : int, optional Order of splines used in interpolation of downsampling. See `skimage.transform.warp` for detail. mode : {'reflect', 'constant', 'edge', 'symmetric', 'wrap'}, optional The mode parameter determines how the array borders are handled, where cval is the value when mode is equal to 'constant'. cval : float, optional Value to fill past edges of input if mode is 'constant'. preserve_range : bool, optional Whether to keep the original range of values. Otherwise, the input image is converted according to the conventions of `img_as_float`. Also see https://scikit-image.org/docs/dev/user_guide/data_types.html channel_axis : int or None, optional If None, the image is assumed to be a grayscale (single channel) image. Otherwise, this parameter indicates which axis of the array corresponds to channels. .. versionadded:: 0.19 ``channel_axis`` was added in 0.19. Returns ------- out : array Smoothed and downsampled float image. References ---------- .. [1] http://persci.mit.edu/pub_pdfs/pyramid83.pdf c3|># UH1upUT:wa"[R"U[T5- 5OUv M3 g7fNmathceilfloat.0axdr downscales r !pyramid_reduce.._s9 /02\/ADIIa% ** +q H/9<c3h># UH'n[R"U[T5- 5v M) g7frrr#r%r&s rr'r(ds'O;a$))Ai(8$899;/2r@Forderr r anti_aliasing)rrrtuple enumerateshaperr) rr&r r/r r preserve_ranger out_shaperr s ` ` rpyramid_reducer6%sj) U 3E#ejj0  "5;;/  O5;;OO  }I #uT>H 5$e C Jrc 4^^[T5 [X5nTb9TUR-m[UU4Sj[ UR 555nO[U4SjUR 55nUcST-S- n[ XX4USS9n [XXET5n U $)aUpsample and then smooth image. Parameters ---------- image : ndarray Input image. upscale : float, optional Upscale factor. sigma : float, optional Sigma for Gaussian filter. Default is `2 * upscale / 6.0` which corresponds to a filter mask twice the size of the scale factor that covers more than 99% of the Gaussian distribution. order : int, optional Order of splines used in interpolation of upsampling. See `skimage.transform.warp` for detail. mode : {'reflect', 'constant', 'edge', 'symmetric', 'wrap'}, optional The mode parameter determines how the array borders are handled, where cval is the value when mode is equal to 'constant'. cval : float, optional Value to fill past edges of input if mode is 'constant'. preserve_range : bool, optional Whether to keep the original range of values. Otherwise, the input image is converted according to the conventions of `img_as_float`. Also see https://scikit-image.org/docs/dev/user_guide/data_types.html channel_axis : int or None, optional If None, the image is assumed to be a grayscale (single channel) image. Otherwise, this parameter indicates which axis of the array corresponds to channels. .. versionadded:: 0.19 ``channel_axis`` was added in 0.19. Returns ------- out : array Upsampled and smoothed float image. References ---------- .. [1] http://persci.mit.edu/pub_pdfs/pyramid83.pdf c3j># UH(upUT:wa[R"TU-5OUv M* g7frrr )r#r$r%r upscales rr'!pyramid_expand..s3 /')L&8DIIgk "a ?/s03c3V># UHn[R"TU-5v M g7frr9)r#r%r:s rr'r;s!F+Q$))GaK00+s&)rr-Fr.)rrrr1r2r3rr) rr:r r/r r r4r r5resizedr s ` ` rpyramid_expandr>rsj' U 3E#ejj0  "5;;/  F%++FF  }G c! t5G '$l ;C Jrc ## [U5 [X5nSn URn Un Uv X:wa6U S- n [U UUUUUUS9n U n U n U Rn X:XagU v X:waM5gg7f)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)rrr3r6)r max_layerr&r r/r r r4r layer current_shapeprev_layer_image layer_image prev_shapes rpyramid_gaussianrFsB) U 3E EKKM K    $      % # &#))   & +  s A#A)'A)c #j^^# [T5 [X5nUcST-S- nURn [XXVT5n X - v Tb7TUR-m[ U 5n U R T5 [U 5n OU n US:Xa4[R"[R"[U 5T55n[U5Hhn Tb [UU4Sj[U 555n O[U4SjU 55n [U U UUUSS9n[XXVT5n URn X- v Mj g7f) aYield 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-c3|># UH1upUT:wa"[R"U[T5- 5OUv M3 g7frrr"s rr'$pyramid_laplacian..s95EB463E !eI../1L5r)c3h># UH'n[R"U[T5- 5v M) g7frrr+s rr'rJs'U}!diiE),<(<==}r,Fr.)rrr3rrlistpopr1rr logmaxranger2r)rr@r&r r/r r r4r rBsmoothed_imageshape_without_channelsrAr5 resized_images ` ` rpyramid_laplacianrT$s:J) U 3E }I #KKMU4|DN   #ejj0 !%m!4""<0!&'=!>!.BIIdhhs+A'BINO y!  #&}5I U}UUI    !t<P%++ ,,)"sD/D3)rNrreflectrF)rHrNrrUrF)rnumpyr_shared.filtersr _shared.utilsr_warpsrrrr6r>rFrTrrr[s &,,@   JJ^    II\   ccP   t-t-r