hdZddlmZddlmZmZddlZddlm Z ddl Z ddl m Z ddl mZdd l mZdd l mZdd l mZd d lmZmZedddZdddddddZdS)aModified Olivetti faces dataset. The original database was available from (now defunct) https://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html The version retrieved here comes in MATLAB format from the personal web page of Sam Roweis: https://cs.nyu.edu/~roweis/ )exists)makedirsremoveN)loadmat) get_data_home) _fetch_remote)RemoteFileMetadata) _pkl_filepath) load_descr)check_random_stateBunchzolivettifaces.matz.https://ndownloader.figshare.com/files/5976027@b612fb967f2dc77c9c62d3e1266e0c73d5fca46a4b8906c18e454d41af987794)filenameurlchecksumFT) data_homeshuffle random_statedownload_if_missing return_X_ycHt|}t|st|t|d}t|s|st dt dt jd|tt |}t|}t||dj }tj||d ~ntj|}t!j|}||z }||z}|d d d d}t!jdt/dD} |rAt1|}|t5|} || }| | } |t5|d} t7d} |r| | fSt9| || | S)a Load the Olivetti faces data-set from AT&T (classification). Download it if necessary. ================= ===================== Classes 40 Samples total 400 Dimensionality 4096 Features real, between 0 and 1 ================= ===================== Read more in the :ref:`User Guide `. Parameters ---------- data_home : str, default=None Specify another download and cache folder for the datasets. By default all scikit-learn data is stored in '~/scikit_learn_data' subfolders. shuffle : bool, default=False If True the order of the dataset is shuffled to avoid having images of the same person grouped. random_state : int, RandomState instance or None, default=0 Determines random number generation for dataset shuffling. Pass an int for reproducible output across multiple function calls. See :term:`Glossary `. download_if_missing : bool, default=True If False, raise a IOError if the data is not locally available instead of trying to download the data from the source site. return_X_y : bool, default=False If True, returns `(data, target)` instead of a `Bunch` object. See below for more information about the `data` and `target` object. .. versionadded:: 0.22 Returns ------- data : :class:`~sklearn.utils.Bunch` Dictionary-like object, with the following attributes. data: ndarray, shape (400, 4096) Each row corresponds to a ravelled face image of original size 64 x 64 pixels. images : ndarray, shape (400, 64, 64) Each row is a face image corresponding to one of the 40 subjects of the dataset. target : ndarray, shape (400,) Labels associated to each face image. Those labels are ranging from 0-39 and correspond to the Subject IDs. DESCR : str Description of the modified Olivetti Faces Dataset. (data, target) : tuple if `return_X_y=True` Tuple with the `data` and `target` objects described above. .. versionadded:: 0.22 )rz olivetti.pkzz1Data not found and `download_if_missing` is Falsez downloading Olivetti faces from z to )dirname) file_namefaces)compress)@r rr rcg|]}|dzS) ).0is \/var/www/html/Sam_Eipo/venv/lib/python3.11/site-packages/sklearn/datasets/_olivetti_faces.py z(fetch_olivetti_faces..s3331qBw333rzolivetti_faces.rst)dataimagestargetDESCR)rrrr IOErrorprintFACESrr rrTcopyjoblibdumploadnpfloat32minmaxreshape transposearrayranger permutationlenr r) rrrrrfilepathmat_pathmfilerr,orderfaces_vectorizedfdescrs r&fetch_olivetti_facesrF's J 222I )  Y77H (  &" OMNN N EIIIyyQRRR  :::(+++xg %%'' E8a0000 E H%% Ju  E EIIKK E UYY[[E MM- ( ( 2 21a ; ;E X33c 333 4 4F),77 ((U44e }}SZZ44 , - -F('' &uV6 R R RRr()__doc__os.pathrosrrnumpyr6scipy.iorr3r_baser r r r utilsrrr0rFr#r(r&rOs8    %%%%%% --------  8 O     mSmSmSmSmSmSmSr(