Ë
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³òúh ã óH d dl mZ d dlZd dlmZ ddlmZ G d d« ZeZy)é )Ú annotationsN)Úcached_propertyé )ÚImagec óÄ e Zd Z d d dZedd« Zedd« Zedd« Zedd« Zedd« Z edd« Z
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edd « Z edd
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« Z edd « Z y)ÚStatNc ó t |t j « r|j |« | _ n%t |t « r|| _ n d}t |« t t t | j « dz « « | _ y)a
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Calculate statistics for the given image. If a mask is included,
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only the regions covered by that mask are included in the
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statistics. You can also pass in a previously calculated histogram.
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:param image: A PIL image, or a precalculated histogram.
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.. note::
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For a PIL image, calculations rely on the
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:py:meth:`~PIL.Image.Image.histogram` method. The pixel counts are
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grouped into 256 bins, even if the image has more than 8 bits per
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channel. So ``I`` and ``F`` mode images have a maximum ``mean``,
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``median`` and ``rms`` of 255, and cannot have an ``extrema`` maximum
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of more than 255.
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:param mask: An optional mask.
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z$first argument must be image or listé N) Ú
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isinstancer Ú histogramÚhÚlistÚ TypeErrorÚrangeÚlenÚbands)ÚselfÚ image_or_listÚmaskÚmsgs ú@H:\Change_password\venv_build\Lib\site-packages\PIL/ImageStat.pyÚ__init__z Stat.__init__ sb ô* m¤U§[¡[Ô 1Ø"×,Ñ,¨TÓ2DFÜ ¤tÔ ,Ø"DFà8CÜC.Ð Ü%¤ D§F¡F£ ¨sÑ 2Ó3Ó4
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ó c ó dd}t dt | j « d« D cg c] } || j |d « c}S c c}w )au
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Min/max values for each band in the image.
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.. note::
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This relies on the :py:meth:`~PIL.Image.Image.histogram` method, and
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simply returns the low and high bins used. This is correct for
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images with 8 bits per channel, but fails for other modes such as
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``I`` or ``F``. Instead, use :py:meth:`~PIL.Image.Image.getextrema` to
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return per-band extrema for the image. This is more correct and
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efficient because, for non-8-bit modes, the histogram method uses
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:py:meth:`~PIL.Image.Image.getextrema` to determine the bins used.
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c ó d\ }}t d« D ] }| | s |} n t ddd« D ] }| | s |} ||fS ||fS )N)éÿ r r
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r éÿÿÿÿ)r )r Úres_minÚres_maxÚis r Úminmaxz Stat.extrema.<locals>.minmaxM so Ø %Ñ GWÜ3Zò Ø Q<Ø GÙð ô 3 BÓ'ò Ø Q<Ø GØØGÐ#Ð #ð ð GÐ#Ð #r r r
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N)r ú list[int]Úreturnztuple[int, int])r r r )r r! r s r Úextremaz Stat.extrema> s= ó
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$ô -2°!´S¸¿¹³[À#Ó,FÖG qtvvabzÕ"ÒGÐGùÒGs § Ac ó t dt | j « d« D cg c] }t | j ||dz « c}S c c}w )z2Total number of pixels for each band in the image.r r
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)r r r Úsum©r r s r Úcountz
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Stat.count[ s= ô 38¸¼3¸t¿v¹v»;ÈÓ2LÖM¨QDFF1q 3wÐ'Õ(ÒMÐMùÒMs £"Ac óÊ g }t dt | j « d« D ]= }d}t d« D ] }||| j ||z z z } |j |« ? |S )z-Sum of all pixels for each band in the image.r r
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ç )r r r Úappend)r Úvr Ú layer_sumÚjs r r& zStat.sum` so ð Üq#dff+ sÓ+ò AØIÜ3Zò /ØQ §¡¨¨A©¡ Ñ .Ñ. ð /à HHYÕ ð ð
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r c óâ g }t dt | j « d« D ]I }d}t d« D ]& }||dz t | j ||z « z z }( |j |« K |S )z5Squared sum of all pixels for each band in the image.r r
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r* é )r r r Úfloatr+ )r r, r Úsum2r. s r r2 z Stat.sum2l sw ð Üq#dff+ sÓ+ò AØDÜ3Zò 6ØA¤ t§v¡v¨a°!©e¡}Ó!5Ñ5Ñ5ð 6à HHTNð ð
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r c ó | j D cg c]2 }| j | r | j | | j | z nd4 c}S c c}w )zAAverage (arithmetic mean) pixel level for each band in the image.r )r r( r& r' s r Úmeanz Stat.meanx sB ð NRÏZÉZÖXȨt¯z©z¸!ª} djj¨mÒ+À!ÑCÒXÐXùÒXs 7A c óØ g }| j D ]X }d}| j | dz }|dz }t d« D ] }|| j ||z z }||kD s n |j « Z |S )z.Median pixel level for each band in the image.r r0 r
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)r r( r r r+ )r r, r ÚsÚhalfÚbr. s r Úmedianz Stat.median} s ð Øò AØAØ::a= AÑ%DØCAÜ3Zò Øq 1u Ñ%Øt8Ùð ð HHQKð ð r c óÂ | j D cg c]E }| j | r2t j | j | | j | z « ndG c}S c c}w )z2RMS (root-mean-square) for each band in the image.r )r r( ÚmathÚsqrtr2 r' s r ÚrmszStat.rms sU ð
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ZZö
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àð 8<·z±zÀ!²}DIIdii l T§Z¡Z°¡]Ñ2Ô 3È!Ñ Kò
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ð
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ùò
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s A
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A c óâ | j D cg c]U }| j | rB| j | | j | dz | j | z z
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| j | z ndW c}S c c}w )z$Variance for each band in the image.g @r )r r( r2 r& r' s r ÚvarzStat.var st ð ZZö
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ð ð ::a=ð 1 §¡¨!¡°Ñ!3°t·z±zÀ!±}Ñ DÑDÈÏ
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É
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ÐSTÉ ÒUàñò
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ð
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ùò
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s AA,c ó | j D cg c]$ }t j | j | « & c}S c c}w )z.Standard deviation for each band in the image.)r r; r< r? r' s r Ústddevz Stat.stddev¡ s- ð 15·
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±
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Ö;¨1 $(( 1+Õ&Ò;Ð;ùÒ;s );)N)r zImage.Image | list[int]r zImage.Image | Noner# ÚNone)r# zlist[tuple[int, int]])r# r" )r# z list[float])Ú__name__Ú
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__module__Ú __qualname__r r r$ r( r& r2 r4 r9 r= r? rA © r r r r sÜ àQUð 5Ø 4ð 5Ø<Nð 5à ó 5ð< òHó ðHð8 òNó ðNð ò ó ð ð ò ó ð ð òYó ðYð ò ó ð ð ò
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ó ð
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ð ò
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ó ð
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ð ò<ó ñ<r r ) Ú
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__future__r r; Ú functoolsr Ú r r ÚGlobalrF r r ú<module>rK s' ðõ. #ã Ý %å ÷E<ñ E<ðP
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r
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