
    h^"                         d dl Z d dlZ d dlmZ d dlmZmZmZmZ d dl	m
Z
 ddlmZmZ ddlmZ  G d d	e      Z G d
 de      Zy)    N)Path)AnyCallableOptionalUnion)Image   )download_and_extract_archiveverify_str_arg)VisionDatasetc                        e Zd ZdZ	 	 	 	 ddeeef   deee   ef   dee	   dee	   de
ddf fd	Zd
edeeef   fdZde
fdZdefdZddZdefdZ xZS )
Caltech101a?  `Caltech 101 <https://data.caltech.edu/records/20086>`_ Dataset.

    .. warning::

        This class needs `scipy <https://docs.scipy.org/doc/>`_ 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 <https://github.com/wkentaro/gdown>`_ is required.
    Nroottarget_type	transformtarget_transformdownloadreturnc           
        
 t         |   t        j                  j	                  |d      ||       t        j
                  | j                  d       t        |t              r|g}|D cg c]  }t        |dd       c}| _
        |r| j                          | j                         st        d      t        t        j                  t        j                  j	                  | j                  d                  | _        | j                   j#                  d	       d
dddd
t%        t'        
fd| j                               | _        g | _        g | _        t/        | j                         D ]  \  }}t1        t        j                  t        j                  j	                  | j                  d|                  }	| j*                  j3                  t5        d|	dz                | j,                  j3                  |	|gz          y c c}w )N
caltech101r   r   Texist_okr   )category
annotationHDataset not found or corrupted. You can use download=True to download it101_ObjectCategoriesBACKGROUND_GoogleFaces_2Faces_3Motorbikes_16Airplanes_Side_2)Faces
Faces_easy
Motorbikes	airplanesc                     | v r|    S | S N )xname_maps    Z/var/www/html/eduruby.in/venv/lib/python3.12/site-packages/torchvision/datasets/caltech.py<lambda>z%Caltech101.__init__.<locals>.<lambda>H   s    qH} Z[     r	   )super__init__ospathjoinmakedirsr   
isinstancestrr   r   r   _check_integrityRuntimeErrorsortedlistdir
categoriesremovelistmapannotation_categoriesindexy	enumeratelenextendrange)selfr   r   r   r   r   ticnr+   	__class__s             @r,   r0   zCaltech101.__init__(   s    	dL9Yaqr
DII-k3'&-Kbmn]^N1m=WXnMMO$$&ijj BGGLLDZ,[!\]23 #)+	
 &*#.[]a]l]l*m%n" "
doo. 	#DAqBJJrww||DII7MqQRSAJJeAq1uo.FFMM!qc'"	#1 os   +Hr@   c                    ddl }t        j                  t        j                  j                  | j                  d| j                  | j                  |      d| j                  |   dd            }g }| j                  D ]  }|dk(  r|j                  | j                  |          '|dk(  s-|j                  j                  t        j                  j                  | j                  d	| j                  | j                  |      d
| j                  |   dd            }|j                  |d           t        |      dkD  rt!        |      n|d   }| j"                  | j#                  |      }| j$                  | j%                  |      }||fS )z
        Args:
            index (int): Index

        Returns:
            tuple: (image, target) where the type of target specified by target_type.
        r   Nr   image_04d.jpgr   r   Annotationsannotation_z.matobj_contourr	   )scipy.ior   openr1   r2   r3   r   r;   rA   r@   r   appendioloadmatr?   rC   tupler   r   )rF   r@   scipyimgtargetrG   datas          r,   __getitem__zCaltech101.__getitem__Q   sb    	jjGGLL		&u.E*3/t4	
 !! 	3AJdffUm,l"xx''GGLL		%22466%=A%djj&7%<DA	 d=12	3 #&f+/vvay>>%..%C  ,**62FF{r.   c                     t         j                  j                  t         j                  j                  | j                  d            S )Nr   r1   r2   existsr3   r   rF   s    r,   r7   zCaltech101._check_integrity|   )    ww~~bggll4996LMNNr.   c                 ,    t        | j                        S r(   rC   r@   ra   s    r,   __len__zCaltech101.__len__       4::r.   c                     | j                         ry t        d| j                  dd       t        d| j                  dd       y )NzAhttps://drive.google.com/file/d/137RyRjvTBkBiIfeYBNZBtViDHQ6_Ewspz101_ObjectCategories.tar.gz b224c7392d521a49829488ab0f1120d9filenamemd5zAhttps://drive.google.com/file/d/175kQy3UsZ0wUEHZjqkUDdNVssr7bgh_mzAnnotations.tar 6f83eeb1f24d99cab4eb377263132c91r7   r
   r   ra   s    r,   r   zCaltech101.download   sC      "$OII22		
 	%OII&2		
r.   c                 :     dj                   di | j                  S )NzTarget type: {target_type}r)   )format__dict__ra   s    r,   
extra_reprzCaltech101.extra_repr   s    2+22CT]]CCr.   )r   NNFr   N)__name__
__module____qualname____doc__r   r6   r   r=   r   r   boolr0   intrX   r   r]   r7   re   r   rq   __classcell__rK   s   @r,   r   r      s    < .8(,/3'#CI'# 49c>*'# H%	'#
 #8,'# '# 
'#R) )sCx )VO$ O 
"DC Dr.   r   c                        e Zd ZdZ	 	 	 ddedee   dee   deddf
 fdZd	e	de
eef   fd
ZdefdZde	fdZddZ xZS )
Caltech256a  `Caltech 256 <https://data.caltech.edu/records/20087>`_ 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.
    Nr   r   r   r   r   c           
      R   t         	|   t        j                  j	                  |d      ||       t        j
                  | j                  d       |r| j                          | j                         st        d      t        t        j                  t        j                  j	                  | j                  d                  | _        g | _        g | _        t        | j                        D ]  \  }}t!        t        j                  t        j                  j	                  | j                  d|            D cg c]  }|j#                  d      r| c}      }| j                  j%                  t'        d|dz                | j                  j%                  ||gz          y c c}w )	N
caltech256r   Tr   r   256_ObjectCategoriesrO   r	   )r/   r0   r1   r2   r3   r4   r   r   r7   r8   r9   r:   r;   r@   rA   rB   rC   endswithrD   rE   )
rF   r   r   r   r   rH   rI   itemrJ   rK   s
            r,   r0   zCaltech256.__init__   s9    	dL9Yaqr
DII-MMO$$&ijj BGGLLDZ,[!\] "
doo. 		#DAq !#

277<<		CY[\+] ^}}V, A JJeAq1uo.FFMM!qc'"		#s   9F$
r@   c                    t        j                  t        j                  j	                  | j
                  d| j                  | j                  |      | j                  |   dz   dd| j                  |   dd            }| j                  |   }| j                  | j                  |      }| j                  | j                  |      }||fS )z
        Args:
            index (int): Index

        Returns:
            tuple: (image, target) where target is index of the target class.
        r   r	   03d_rN   rO   )r   rT   r1   r2   r3   r   r;   rA   r@   r   r   )rF   r@   rZ   r[   s       r,   r]   zCaltech256.__getitem__   s     jjGGLL		&u.66%=1$S)4::e+<S*AF	
 >>%..%C  ,**62FF{r.   c                     t         j                  j                  t         j                  j                  | j                  d            S )Nr   r_   ra   s    r,   r7   zCaltech256._check_integrity   rb   r.   c                 ,    t        | j                        S r(   rd   ra   s    r,   re   zCaltech256.__len__   rf   r.   c                 X    | j                         ry t        d| j                  dd       y )NzAhttps://drive.google.com/file/d/1r6o0pSROcV1_VwT4oSjA2FBUSCWGuxLKz256_ObjectCategories.tar 67b4f42ca05d46448c6bb8ecd2220f6dri   rm   ra   s    r,   r   zCaltech256.download   s)      "$OII/2		
r.   )NNFrr   )rs   rt   ru   rv   r6   r   r   rw   r0   rx   rX   r   r]   r7   re   r   ry   rz   s   @r,   r|   r|      s    " )-/3## H%# #8,	#
 # 
#< sCx 6O$ O 	
r.   r|   )r1   os.pathpathlibr   typingr   r   r   r   PILr   utilsr
   r   visionr   r   r|   r)   r.   r,   <module>r      s<    	   1 1  ? !ID IDXX
 X
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