QЦi)SSKrSSKJr SSKJrJrJrJrJrJ r J r SSK J r SSK JrJrJrJr SSKJr "SS \5r"S S \5r"S S \5rg)N)Path)AnyCallableDictListOptionalTupleUnion)Image)check_integritydownload_and_extract_archive download_urlverify_str_arg) VisionDatasetc^\rSrSrSrSrSSSS.rSS S S S S SS.rSSSS.rSr S)S\ \ \ 4S\ S\ S\ S\ \S\ \S\SS4U4SjjjrS\ S\R"4S jrS\4S!jrS*S"jrS#\ S$\ \\ 4S\ 4S%jrS\ 4S&jrS\4S'jrS(rU=r$)+_LFW zlfw-pyz http://vis-www.cs.umass.edu/lfw/)lfwzlfw.tgz a17d05bd522c52d84eca14327a23d494) lfw_funneledzlfw-funneled.tgz 1b42dfed7d15c9b2dd63d5e5840c86ad)zlfw-deepfunneledzlfw-deepfunneled.tgz 68331da3eb755a505a502b5aacb3c201)originalfunneled deepfunneled 9f1ba174e4e1c508ff7cdf10ac338a7d 5132f7440eb68cf58910c8a45a2ac10b 4f27cbf15b2da4a85c1907eb4181ad21 450f0863dd89e85e73936a6d71a3474b e4bf5be0a43b5dcd9dc5ccfcb8fb19c5 54eaac34beb6d042ed3a7d883e247a21 a6d0a479bd074669f656265a6e693f6d)z pairs.txtzpairsDevTest.txtzpairsDevTrain.txtz people.txtzpeopleDevTest.txtzpeopleDevTrain.txt lfw-names.txtDevTrainDevTest10foldtraintestr$Nrootsplit image_setview transformtarget_transformdownloadreturnc>[T U][RR XR 5XVS9 [ UR5SURR55Ul URURuol Ul [ UR5SSS/5Ul [ UR5S/SQ5UlURURURS3Ul/UlU(aUR%5 UR'5(d [)S 5e[RR UR*U5Ulg) N)r0r1r.r/peoplepairsr-r(z.txtzHDataset not found or corrupted. You can use download=True to download it)super__init__ospathjoin base_folderrlower file_dictkeysr.filenamemd5r/r- annot_file labels_filedatar2_check_integrity RuntimeErrorr, images_dir) selfr,r-r.r/r0r1r2rG __class__s W/var/www/html/ai-image-ml/venv/lib/python3.13/site-packages/torchvision/datasets/lfw.pyr8 _LFW.__init__!s d,<,<=v' (9;H[H[H]^.2nnT^^.L+ M48"4::<(G9LM #EKKM7 A c&[[RRURUR 5UR 5n[[RRURUR5URUR5nU(aU(dgURS:XaU[[RRURUR5URUR5$g)NFr5T) r r9r:r;r,r@rArC checksumsr/names)rHst1st2s rJrE_LFW._check_integrityBsbggll499dmmDdhhObggll499d6F6FGX\XhXhIij# 99 "277<< 4::#FW[WaWaHbc crLcUR5(agURUR3n[XRURUR S9 [ URUR3UR5 URS:Xa/[ URUR3UR5 gg)N)r@rAr5) rEdownload_url_prefixr@rr,rArrCr/rX)rHurls rJr2 _LFW.downloadKs  " " ))*4==/:$S))dmmQUQYQYZ001$2B2B1CDdiiP 99 D445djj\BDII N !rLidentitynoc v[RRURXS[ U5SS35$)N_04dz.jpg)r9r:r;rGint)rHr`ras rJ _get_path_LFW._get_pathTs/ww||DOOX1SWSMQU7VWWrLc:SURSUR3$)Nz Alignment: z Split: )r.r-rHs rJ extra_repr_LFW.extra_reprWsT^^,Idjj\BBrLc,[UR5$)N)lenrDris rJ__len__ _LFW.__len__Zs499~rL)rDr@r.rGrCrAr-r/)NNF)r3N)__name__ __module__ __qualname____firstlineno__r<r]r>rWrBrXr strrrrboolr8r rTrEr2rerfrjrn__static_attributes__ __classcell__rIs@rJrr s6K<K\hI 8>?8?@;IYGJ E)-/3>CI>> >  > H% >#8,>> >>8&C&EKK& $OX#X5c?XsXCCCrLrc^\rSrSrSrSS\S\S\S\\S\\S \S S4U4S jjjr S \ \ \\ \ 44S jr S \\\ 44S jrS\ S \ \\44SjrS \4U4SjjrSrU=r$) LFWPeople^a`LFW `_ Dataset. Args: root (str or ``pathlib.Path``): Root directory of dataset where directory ``lfw-py`` exists or will be saved to if download is set to True. split (string, optional): The image split to use. Can be one of ``train``, ``test``, ``10fold`` (default). image_set (str, optional): Type of image funneling to use, ``original``, ``funneled`` or ``deepfunneled``. Defaults to ``funneled``. transform (callable, optional): A function/transform that takes in a PIL image and returns a transformed version. E.g, ``transforms.RandomRotation`` target_transform (callable, optional): A function/transform that takes in the target and transforms it. download (bool, optional): If true, downloads the dataset from the internet and puts it in root directory. If dataset is already downloaded, it is not downloaded again. Nr,r-r.r0r1r2r3c >[TU]XUSXEU5 UR5UlUR 5uUlUlg)Nr5)r7r8 _get_classes class_to_idx _get_peoplerDtargetsrHr,r-r.r0r1r2rIs rJr8LFWPeople.__init__rsC i9X`a --/"&"2"2"4 4?ZZ\'')!,E?709/?@/?GA/? @@7 6As#B-*B(=B-B>(B-- B;indexcURURU5nURUnURbURU5nURbUR U5nX#4$)zu Args: index (int): Index Returns: tuple: Tuple (image, target) where target is the identity of the person. )rTrDrr0r1)rHrrStargets rJ __getitem__LFWPeople.__getitem__sell499U+,e$ >> %..%C  ,**62F{rLcR>[TU]5S[UR53-$)Nz Classes (identities): )r7rjrmr~)rHrIs rJrjLFWPeople.extra_reprs*w!#(@TEVEVAW@X&YYYrL)r~rDrr)rNNF)rprqrrrs__doc__rtrrrur8r rrerrr}rrrjrvrwrxs@rJrzrz^s,#(,/3 5 5 5 5 H% 5 #8, 5 5  5 5U49d3i#78$d38nsCx&ZCZZrLrzc^\rSrSrSrSS\S\S\S\\S\\S \S S4U4S jjjr S \S \ \ \ \\4\ \ \\4\ \ 44S jr S\ S \ \\\ 44SjrSrU=r$)LFWPairsa`LFW `_ Dataset. Args: root (str or ``pathlib.Path``): Root directory of dataset where directory ``lfw-py`` exists or will be saved to if download is set to True. split (string, optional): The image split to use. Can be one of ``train``, ``test``, ``10fold``. Defaults to ``10fold``. image_set (str, optional): Type of image funneling to use, ``original``, ``funneled`` or ``deepfunneled``. Defaults to ``funneled``. transform (callable, optional): A function/transform that takes in a PIL image and returns a transformed version. E.g, ``transforms.RandomRotation`` target_transform (callable, optional): A function/transform that takes in the target and transforms it. download (bool, optional): If true, downloads the dataset from the internet and puts it in root directory. If dataset is already downloaded, it is not downloaded again. 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