h^"SSKrSSKrSSKJr SSKJrJrJrJr SSK J r SSK J r J r SSKJr "SS \5r"S S \5rg) N)Path)AnyCallableOptionalUnion)Image)download_and_extract_archiveverify_str_arg) VisionDatasetc ^\rSrSrSrSS\\\4S\\\\4S\ \ S\ \ S\ S S4 U4S jjjr S \ S \\\44S jrS \ 4S jrS \ 4SjrSSjrS \4SjrSrU=r$) Caltech101 a`Caltech 101 `_ Dataset. .. warning:: This class needs `scipy `_ to load target files from `.mat` format. Args: root (str or ``pathlib.Path``): Root directory of dataset where directory ``caltech101`` exists or will be saved to if download is set to True. target_type (string or list, optional): Type of target to use, ``category`` or ``annotation``. Can also be a list to output a tuple with all specified target types. ``category`` represents the target class, and ``annotation`` is a list of points from a hand-generated outline. Defaults to ``category``. transform (callable, optional): A function/transform that takes in a PIL image and returns a transformed version. E.g, ``transforms.RandomCrop`` target_transform (callable, optional): A function/transform that takes in the target and transforms it. download (bool, optional): If true, downloads the dataset from the internet and puts it in root directory. If dataset is already downloaded, it is not downloaded again. .. warning:: To download the dataset `gdown `_ is required. Nroot target_type transformtarget_transformdownloadreturnc ,>^ [T U][RR US5X4S9 [R "UR SS9 [U[5(aU/nUVs/sHn[USS5PM snUl U(aUR5 UR5(d [S5e[[R"[RR UR S555UlUR R#S 5 S S S S S.m [%['U 4SjUR 55Ul/Ul/Ul[/UR 5Hupx[1[R"[RR UR SU555n UR*R3[5SU S-55 UR,R3X/-5 M gs snf)N caltech101rrTexist_okr)category annotationHDataset not found or corrupted. You can use download=True to download it101_ObjectCategoriesBACKGROUND_GoogleFaces_2Faces_3 Motorbikes_16Airplanes_Side_2)Faces Faces_easy Motorbikes airplanesc>UT;aTU$U$N)xname_maps T/var/www/auris/envauris/lib/python3.13/site-packages/torchvision/datasets/caltech.py%Caltech101.__init__..HsqH} 8[Z[8[r )super__init__ospathjoinmakedirsr isinstancestrr rr_check_integrity RuntimeErrorsortedlistdir categoriesremovelistmapannotation_categoriesindexy enumeratelenextendrange) selfrrrrrticnr, __class__s @r-r2Caltech101.__init__(s dL9Yr DII- k3 ' '&-Kbmnbm]^N1m=WXbmn  MMO$$&&ij j BGGLLDZ,[!\] 23 #)+   &*#.[]a]l]l*m%n" " doo.DABJJrww||DII7MqQRSA JJ  eAq1uo . FFMM!c' "/1os*HrBc .SSKn[R"[RR UR SURURUSURUSS355n/nURHnUS:Xa URURU5 M)US:XdM1URR[RR UR S URURUS URUSS 355nURUS 5 M [U5S :a [!U5OUSnUR"bUR#U5nUR$bUR%U5nX44$)zv Args: index (int): Index Returns: tuple: (image, target) where the type of target specified by target_type. rNrimage_04d.jpgrr Annotations annotation_z.mat obj_contourr )scipy.ioropenr3r4r5rr=rCrBrappendioloadmatrArEtuplerr)rHrBscipyimgtargetrIdatas r- __getitem__Caltech101.__getitem__Qs[ jj GGLL &u .E*3/t4   !!AJ dffUm,l"xx''GGLL %22466%=A%djj&7%> %..%C  ,**62F{r0c[RR[RRURS55$)Nrr3r4existsr5rrHs r-r9Caltech101._check_integrity|)ww~~bggll4996LMNNr0c,[UR5$r)rErBres r-__len__Caltech101.__len__4::r0cUR5(ag[SURSSS9 [SURSSS9 g)NzAhttps://drive.google.com/file/d/137RyRjvTBkBiIfeYBNZBtViDHQ6_Ewspz101_ObjectCategories.tar.gz b224c7392d521a49829488ab0f1120d9filenamemd5zAhttps://drive.google.com/file/d/175kQy3UsZ0wUEHZjqkUDdNVssr7bgh_mzAnnotations.tar 6f83eeb1f24d99cab4eb377263132c91r9r rres r-rCaltech101.downloadsF  " " $ O II22  % O II&2  r0c:SR"S0URD6$)NzTarget type: {target_type}r*)format__dict__res r- extra_reprCaltech101.extra_reprs+22CT]]CCr0)rAr=rBrrC)rNNFrN)__name__ __module__ __qualname____firstlineno____doc__rr8rr?rrboolr2intr[rr`r9rjrrx__static_attributes__ __classcell__rMs@r-rr s<.8(,/3 '#CI'#49c>*'#H% '# #8, '#  '# '#'#R))sCx)VO$O "DCDDr0rc ^\rSrSrSrSS\S\\S\\S\SS4 U4S jjjr S \ S\ \ \ 44S jr S\4S jrS\ 4S jrSSjrSrU=r$) Caltech256a`Caltech 256 `_ Dataset. Args: root (str or ``pathlib.Path``): Root directory of dataset where directory ``caltech256`` exists or will be saved to if download is set to True. transform (callable, optional): A function/transform that takes in a PIL image and returns a transformed version. E.g, ``transforms.RandomCrop`` 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. Nrrrrrc r>[T U][RR US5X#S9 [R "UR SS9 U(aUR5 UR5(d [S5e[[R"[RR UR S555Ul /Ul /Ul[UR5HupV[![R"[RR UR SU55Vs/sHnUR#S5(dMUPM sn5nURR%['SUS-55 URR%X/-5 M gs snf) N caltech256rTrr256_ObjectCategoriesrRr )r1r2r3r4r5r6rrr9r:r;r<r=rBrCrDrEendswithrFrG) rHrrrrrJrKitemrLrMs r-r2Caltech256.__init__s5 dL9Yr DII-  MMO$$&&ij j BGGLLDZ,[!\] " doo.DA!# 277<< CY[\+] ^ ^}}V, ^A JJ  eAq1uo . FFMM!c' "/s >F4 F4 rBc [R"[RR UR SUR URUURUS-SSURUSS355nURUnURbURU5nURbURU5nX#4$)zn Args: index (int): Index Returns: tuple: (image, target) where target is index of the target class. rr 03d_rQrR) rrWr3r4r5rr=rCrBrr)rHrBr]r^s r-r`Caltech256.__getitem__sjj GGLL &u .66%=1$S)4::e+> %..%C  ,**62F{r0c[RR[RRURS55$)Nrrcres r-r9Caltech256._check_integrityrgr0c,[UR5$r)rires r-rjCaltech256.__len__rlr0c\UR5(ag[SURSSS9 g)NzAhttps://drive.google.com/file/d/1r6o0pSROcV1_VwT4oSjA2FBUSCWGuxLKz256_ObjectCategories.tar 67b4f42ca05d46448c6bb8ecd2220f6drorsres r-rCaltech256.downloads,  " " $ O II/2  r0)r=rBrC)NNFrz)r{r|r}r~rr8rrrr2rr[rr`r9rjrrrrs@r-rrs ")-/3 ##H%##8, #  #  ##<sCx6O$O   r0r)r3os.pathpathlibrtypingrrrrPILrutilsr r visionr rrr*r0r-rs< 11?!IDIDXX X r0