9i"SSKrSSKrSSKrSSKJr SSKJrJrJrJ r SSK J r SSK J r JrJr SSKJr "SS \5r"S S \5rg) N)Path)AnyCallableOptionalUnion)Image)download_and_extract_archiveextract_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 \/var/www/html/land-doc-ocr/venv/lib/python3.13/site-packages/torchvision/datasets/caltech.py%Caltech101.__init__..IsqH} 8[Z[8[r )super__init__ospathjoinmakedirsr isinstancestrr rr_check_integrity RuntimeErrorsortedlistdir categoriesremovelistmapannotation_categoriesindexy enumeratelenextendrange) selfrrrrrticnr- __class__s @r.r3Caltech101.__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*HrCc .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.ioropenr4r5r6rr>rDrCrappendioloadmatrBrFtuplerr)rIrCscipyimgtargetrJdatas r. __getitem__Caltech101.__getitem__Rs[ jj GGLL &u .E*3/t4   !!AJ dffUm,l"xx''GGLL %22466%=A%djj&7%> %..%C  ,**62F{r1c[RR[RRURS55$)Nrr4r5existsr6rrIs r.r:Caltech101._check_integrity})ww~~bggll4996LMNNr1c,[UR5$r*rFrCrfs r.__len__Caltech101.__len__4::r1c(UR5(ag[SURSSS9 [RR URS5n[R "U5HNnURS5(dM[[RR X5UR5 MP [R"U5 [R"[RR URS55 g)NzBhttps://data.caltech.edu/records/mzrjq-6wc02/files/caltech-101.zipzcaltech-101.zip 3138e1922a9193bfa496528edbbc45d0) download_rootfilenamemd5z caltech-101z.gz) r:r rr4r5r6r=endswithr shutilrmtreer?)rI gzip_folder gzip_files r.rCaltech101.downloads  " " $ P))&2  ggll499m< K0I!!%(( [ DdiiP1  k" "'',,tyy*;<=r1c:SR"S0URD6$)NzTarget type: {target_type}r+)format__dict__rfs r. extra_reprCaltech101.extra_reprs+22CT]]CCr1)rBr>rCrrD)rNNFrN)__name__ __module__ __qualname____firstlineno____doc__rr9rr@rrboolr3intr\rrar:rkrr|__static_attributes__ __classcell__rNs@r.rr s<.8(,/3 '#CI'#49c>*'#H% '# #8, '#  '# '#'#R))sCx)VO$O>"DCDDr1rc ^\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_ObjectCategoriesrSr )r2r3r4r5r6r7rrr:r;r<r=r>rCrDrErFrsrGrH) rIrrrrrKrLitemrMrNs r.r3Caltech256.__init__s5 dL9Yr DII-  MMO$$&&ij j BGGLLDZ,[!\] " doo.DA!# 277<< CY[\+] ^ ^}}V, ^A JJ  eAq1uo . FFMM!c' "/s >F4 F4 rCc [R"[RR UR SUR URUURUS-SSURUSS355nURUnURbURU5nURbURU5nX#4$)zn Args: index (int): Index Returns: tuple: (image, target) where target is index of the target class. rr 03d_rRrS) rrXr4r5r6rr>rDrCrr)rIrCr^r_s r.raCaltech256.__getitem__sjj GGLL &u .66%=1$S)4::e+> %..%C  ,**62F{r1c[RR[RRURS55$)Nrrdrfs r.r:Caltech256._check_integrityrhr1c,[UR5$r*rjrfs r.rkCaltech256.__len__rmr1c\UR5(ag[SURSSS9 g)NzKhttps://data.caltech.edu/records/nyy15-4j048/files/256_ObjectCategories.tarz256_ObjectCategories.tar 67b4f42ca05d46448c6bb8ecd2220f6d)rqrr)r:r rrfs r.rCaltech256.downloads,  " " $ Y II/2  r1)r>rCrD)NNFr~)rrrrrr9rrrr3rr\rrar:rkrrrrs@r.rrs ")-/3 ##H%##8, #  #  ##<sCx6O$O   r1r)r4os.pathrtpathlibrtypingrrrrPILrutilsr r r visionr rrr+r1r.rsB  11PP!IDIDXX X r1