0-Ph ddlZddlmZddlmZddlmZ ddlm Z n#e $r ddl m Z YnwxYwdgZ ej ejdZddejfd ZdS) N)rgb2gray) img_as_float) AxisError blur_effect c|^ tj||d}n7#t$rtdt$rtdwxYwt |}|j}t|}|j}g}ddl m }td|D}t|D]} tj||| } tj||| } tj|| | } tjt"| } tjt"| } tjd | | z } tj| |}tj| |}|tj||z |z ||n ||S) aCompute a metric that indicates the strength of blur in an image (0 for no blur, 1 for maximal blur). Parameters ---------- image : ndarray RGB or grayscale nD image. The input image is converted to grayscale before computing the blur metric. h_size : int, optional Size of the re-blurring filter. channel_axis : int or None, optional If None, the image is assumed to be grayscale (single-channel). Otherwise, this parameter indicates which axis of the array corresponds to color channels. reduce_func : callable, optional Function used to calculate the aggregation of blur metrics along all axes. If set to None, the entire list is returned, where the i-th element is the blur metric along the i-th axis. Returns ------- blur : float (0 to 1) or list of floats Blur metric: by default, the maximum of blur metrics along all axes. Notes ----- `h_size` must keep the same value in order to compare results between images. Most of the time, the default size (11) is enough. This means that the metric can clearly discriminate blur up to an average 11x11 filter; if blur is higher, the metric still gives good results but its values tend towards an asymptote. References ---------- .. [1] Frederique Crete, Thierry Dolmiere, Patricia Ladret, and Marina Nicolas "The blur effect: perception and estimation with a new no-reference perceptual blur metric" Proc. SPIE 6492, Human Vision and Electronic Imaging XII, 64920I (2007) https://hal.archives-ouvertes.fr/hal-00232709 :DOI:`10.1117/12.702790` Nz6channel_axis must be one of the image array dimensionszchannel_axis must be an integerr)sobelc4g|]}td|dz S)rr)slice).0ss \/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/skimage/measure/_blur_effect.py zblur_effect..Ss$333E!QUOO333)axisr)npmoveaxisrprint TypeErrorrndimrshapefiltersr tuplerangendiuniform_filter1dabsmaximum_EPSILONsumappend)imageh_size channel_axis reduce_funcn_axesrBr slicesaxfilt_imim_sharpim_blurTM1M2s rrrsV K|R88EE    J K K K     3 4 4 4   ZF   E KE A 33U333 4 4FFmm ' '&uf2>>>6%%B///00&wR00011:h11*Xw// Jq(W, - - VHV$ % % VAfI   R2%&&&&#11Q7s 4A)numpyr scipy.ndimagendimagercolorrutilrr ImportErrornumpy.exceptions__all__spacingfloat64r"maxrrrr?s ++++********+ / 2:jbjmm $ $!tL8L8L8L8L8L8s  --