ó  ‰\c@€sãdZddlmZddlZddlmZddlZddlmZddlZddl Z ddl m Z ddl m Z d d d d gZd „Zd„Zd efd„ƒYZd„Zd efd„ƒYZdS(sEData structures to hold collections of images, with optional caching.iÿÿÿÿ(twith_statementN(tglob(tcopy(tImagei(tTiffFilet MultiImagetImageCollectiontconcatenate_imagestimread_collection_wrappercC€s]g|D]}|tjdf^q}ytj|ƒ}Wntk rXtdƒ‚nX|S(sòConcatenate all images in the image collection into an array. Parameters ---------- ic: an iterable of images (including ImageCollection and MultiImage) The images to be concatenated. Returns ------- ar : np.ndarray An array having one more dimension than the images in `ic`. See Also -------- ImageCollection.concatenate, MultiImage.concatenate Raises ------ ValueError If images in `ic` don't have identical shapes. .sImage dimensions must agree.(tnptnewaxist concatenatet ValueError(tictimgt all_imagestar((s4lib/python2.7/site-packages/skimage/io/collection.pyRs & cC€sAgtjd|ƒD]$}|jƒr1t|ƒn|^q}|S(s?Convert string to list of strings and ints that gives intuitive sorting. Parameters ---------- s: string Returns ------- k: a list of strings and ints Examples -------- >>> alphanumeric_key('z23a') ['z', 23, 'a'] >>> filenames = ['f9.10.png', 'e10.png', 'f9.9.png', 'f10.10.png', ... 'f10.9.png'] >>> sorted(filenames) ['e10.png', 'f10.10.png', 'f10.9.png', 'f9.10.png', 'f9.9.png'] >>> sorted(filenames, key=alphanumeric_key) ['e10.png', 'f9.9.png', 'f9.10.png', 'f10.9.png', 'f10.10.png'] s([0-9]+)(tretsplittisdigittint(tstctk((s4lib/python2.7/site-packages/skimage/io/collection.pytalphanumeric_key3s=cB€s†eZdZed d„Zed„ƒZed„ƒZd„Z d„Z d„Z d„Z d„Z d „Zd d „Zd „ZRS( sœ Load and manage a collection of image files. Note that files are always stored in alphabetical order. Also note that slicing returns a new ImageCollection, *not* a view into the data. Parameters ---------- load_pattern : str or list Pattern glob or filenames to load. The path can be absolute or relative. Multiple patterns should be separated by os.pathsep, e.g. '/tmp/work/*.png:/tmp/other/*.jpg'. Also see implementation notes below. conserve_memory : bool, optional If True, never keep more than one in memory at a specific time. Otherwise, images will be cached once they are loaded. Other parameters ---------------- load_func : callable ``imread`` by default. See notes below. Attributes ---------- files : list of str If a glob string is given for `load_pattern`, this attribute stores the expanded file list. Otherwise, this is simply equal to `load_pattern`. Notes ----- ImageCollection can be modified to load images from an arbitrary source by specifying a combination of `load_pattern` and `load_func`. For an ImageCollection ``ic``, ``ic[5]`` uses ``load_func(file_pattern[5])`` to load the image. Imagine, for example, an ImageCollection that loads every tenth frame from a video file:: class AVILoader: video_file = 'myvideo.avi' def __call__(self, frame): return video_read(self.video_file, frame) avi_load = AVILoader() frames = range(0, 1000, 10) # 0, 10, 20, ... ic = ImageCollection(frames, load_func=avi_load) x = ic[5] # calls avi_load(frames[5]) or equivalently avi_load(50) Another use of ``load_func`` would be to convert all images to ``uint8``:: def imread_convert(f): return imread(f).astype(np.uint8) ic = ImageCollection('/tmp/*.png', load_func=imread_convert) For files with multiple images, the images will be flattened into a list and added to the list of available images. In this case, ``load_func`` should accept the keyword argument ``img_num``. Examples -------- >>> import skimage.io as io >>> from skimage import data_dir >>> coll = io.ImageCollection(data_dir + '/chess*.png') >>> len(coll) 2 >>> coll[0].shape (200, 200) >>> ic = io.ImageCollection('/tmp/work/*.png:/tmp/other/*.jpg') cK€s"t|tjƒr~|jtjƒ}g|_x$|D]}|jjt|ƒƒq4Wt |jdt ƒ|_|j ƒ|_ n$||_t |jƒ|_ d|_|r±d}n |j }||_d|_|dkrôddlm}||_n ||_||_tj|dtƒ|_dS(s'Load and manage a collection of images.tkeyi(timreadtdtypeN(t isinstancetsixt string_typesRtostpathsept_filestextendRtsortedRt _find_imagest _numframestlentNonet _frame_indext_conserve_memoryt_cachedt_ioRt load_functload_func_kwargsR temptytobjecttdata(tselft load_patterntconserve_memoryR,R-tpatternt memory_slotsR((s4lib/python2.7/site-packages/skimage/io/collection.pyt__init__œs*            cC€s|jS(N(R!(R1((s4lib/python2.7/site-packages/skimage/io/collection.pytfiles½scC€s|jS(N(R)(R1((s4lib/python2.7/site-packages/skimage/io/collection.pyR3Ásc C€sVg}x:|jD]/}|jƒjdƒr„t|dƒE}t|ƒ}|gtt|jƒƒD]}||f^qb7}WdQXqy tj|ƒ}|j dƒWnt t fk rÀqnXd}xMt ry|j |ƒWnt k rõPnX|j||fƒ|d7}qÊWt|dƒr|jr|jjƒqqW||_t|ƒS(Ns.tiffs.tiftrbiitfp(s.tiffs.tif(R!tlowertendswithtopenRtrangeR&tpagesRtseektIOErrortOSErrortTruetEOFErrortappendthasattrR9tcloseR((R1tindextfnametfRtitim((s4lib/python2.7/site-packages/skimage/io/collection.pyR$Ås. ;   c C€s¦t|dƒr|jƒ}nt|ƒttgkrEtdƒ‚nt|ƒtkr‡|j|ƒ}|t|jƒ}|j r‘||j ks¤|j|dkr||j }|j rP|j |\}}|dk râ||d>> from skimage import data_dir >>> img = MultiImage(data_dir + '/multipage.tif') # doctest: +SKIP >>> len(img) # doctest: +SKIP 2 >>> for frame in img: # doctest: +SKIP ... print(frame.shape) # doctest: +SKIP (15, 10) (15, 10) c €sQddlm‰‡‡fd†}||_tt|ƒj||d||dS(sLoad a multi-img.i(Rc€s|jdˆƒˆ||S(NR(t setdefault(RHRU(RR(s4lib/python2.7/site-packages/skimage/io/collection.pyR,¥sR,N(R+Rt _filenametsuperRR6(R1tfilenameR3Rt imread_kwargsR,((RRs4lib/python2.7/site-packages/skimage/io/collection.pyR6 s  cC€s|jS(N(Rg(R1((s4lib/python2.7/site-packages/skimage/io/collection.pyRi­sN(RaRbRcRBR'R6RdRi(((s4lib/python2.7/site-packages/skimage/io/collection.pyRzs$ (Rct __future__RRRRRtnumpyR RtPILRtexternal.tifffileRt__all__RRR/RRR(((s4lib/python2.7/site-packages/skimage/io/collection.pyts"        ÿ