o
    )i""                     @   s|   d dl Z d dlZ d dlmZmZ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 deZG d	d
 d
eZdS )    N)AnyCallableListOptionalTupleUnion)Image   )download_and_extract_archiveverify_str_arg)VisionDatasetc                       s   e Zd ZdZ				ddedeee ef dee dee d	e	d
df fddZ
ded
eeef fddZd
e	fddZd
efddZdddZd
efddZ  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 (string): 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 an 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.
    categoryNFroottarget_type	transformtarget_transformdownloadreturnc           	   	      s   t  jtj|d||d tj| jdd t|tr|g}dd |D | _	|r,| 
  |  s4tdtttj| jd| _| jd	 d
dddd tt fdd| j| _g | _g | _t| jD ]&\}}tttj| jd|}| jtd|d  | j||g  qgd S )NZ
caltech101r   r   Texist_okc                 S   s   g | ]}t |d dqS )r   )r   
annotation)r   ).0t r   k/var/www/html/eduruby.in/lip-sync/lip-sync-env/lib/python3.10/site-packages/torchvision/datasets/caltech.py
<listcomp>/   s    z'Caltech101.__init__.<locals>.<listcomp>HDataset not found or corrupted. You can use download=True to download it101_ObjectCategoriesZBACKGROUND_GoogleZFaces_2ZFaces_3ZMotorbikes_16ZAirplanes_Side_2)ZFacesZ
Faces_easyZ
MotorbikesZ	airplanesc                    s   |  v r |  S | S Nr   )xZname_mapr   r   <lambda>C   s    z%Caltech101.__init__.<locals>.<lambda>r	   )super__init__ospathjoinmakedirsr   
isinstancestrr   r   _check_integrityRuntimeErrorsortedlistdir
categoriesremovelistmapannotation_categoriesindexy	enumeratelenextendrange)	selfr   r   r   r   r   icn	__class__r"   r   r%   #   s0   
zCaltech101.__init__r5   c                 C   s  ddl }ttj| jd| j| j|  d| j	| dd}g }| j
D ]6}|dkr3|| j|  q$|dkrZ|jtj| jd	| j| j|  d
| j	| dd}||d  q$t|dkret|n|d }| jdurs| |}| jdur}| |}||fS )z
        Args:
            index (int): Index

        Returns:
            tuple: (image, target) where the type of target specified by target_type.
        r   Nr   Zimage_04d.jpgr   r   ZAnnotationsZannotation_z.matZobj_contourr	   )Zscipy.ior   openr&   r'   r(   r   r0   r6   r5   r   appendioZloadmatr4   r8   tupler   r   )r;   r5   Zscipyimgtargetr   datar   r   r   __getitem__L   s<   	




zCaltech101.__getitem__c                 C      t jt j| jdS )Nr   r&   r'   existsr(   r   r;   r   r   r   r,   w      zCaltech101._check_integrityc                 C   
   t | jS r    r8   r5   rN   r   r   r   __len__{      
zCaltech101.__len__c                 C   s<   |   r
td d S td| jddd td| jddd d S )	N%Files already downloaded and verifiedzAhttps://drive.google.com/file/d/137RyRjvTBkBiIfeYBNZBtViDHQ6_Ewspz101_ObjectCategories.tar.gzZ b224c7392d521a49829488ab0f1120d9filenamemd5zAhttps://drive.google.com/file/d/175kQy3UsZ0wUEHZjqkUDdNVssr7bgh_mzAnnotations.tarZ 6f83eeb1f24d99cab4eb377263132c91r,   printr
   r   rN   r   r   r   r   ~   s   
zCaltech101.downloadc                 C   s   dj di | jS )NzTarget type: {target_type}r   )format__dict__rN   r   r   r   
extra_repr   s   zCaltech101.extra_repr)r   NNFr   N)__name__
__module____qualname____doc__r+   r   r   r   r   boolr%   intr   r   rJ   r,   rR   r   r\   __classcell__r   r   r?   r   r      s0    )+
r   c                       s   e Zd ZdZ			ddedee dee deddf
 fd	d
Zde	de
eef fddZdefddZde	fddZdddZ  ZS )
Caltech256a  `Caltech 256 <https://data.caltech.edu/records/20087>`_ Dataset.

    Args:
        root (string): 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 an 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.
    NFr   r   r   r   r   c              
      s   t  jtj|d||d tj| jdd |r|   |  s$t	dt
ttj| jd| _g | _g | _t| jD ]+\}}tdd ttj| jd|D }| jtd	|d	  | j||g  q=d S )
NZ
caltech256r   Tr   r   256_ObjectCategoriesc                 S   s   g | ]	}| d r|qS )rB   )endswith)r   itemr   r   r   r      s    z'Caltech256.__init__.<locals>.<listcomp>r	   )r$   r%   r&   r'   r(   r)   r   r   r,   r-   r.   r/   r0   r5   r6   r7   r8   r9   r:   )r;   r   r   r   r   r<   r=   r>   r?   r   r   r%      s$   zCaltech256.__init__r5   c                 C   s   t tj| jd| j| j|  | j| d dd| j| dd}| j| }| j	dur2| 	|}| j
dur<| 
|}||fS )z
        Args:
            index (int): Index

        Returns:
            tuple: (image, target) where target is index of the target class.
        rf   r	   Z03d_rA   rB   N)r   rC   r&   r'   r(   r   r0   r6   r5   r   r   )r;   r5   rG   rH   r   r   r   rJ      s   "
	



zCaltech256.__getitem__c                 C   rK   )Nrf   rL   rN   r   r   r   r,      rO   zCaltech256._check_integrityc                 C   rP   r    rQ   rN   r   r   r   rR      rS   zCaltech256.__len__c                 C   s*   |   r
td d S td| jddd d S )NrT   zAhttps://drive.google.com/file/d/1r6o0pSROcV1_VwT4oSjA2FBUSCWGuxLKz256_ObjectCategories.tarZ 67b4f42ca05d46448c6bb8ecd2220f6drU   rX   rN   r   r   r   r      s   
zCaltech256.download)NNFr]   )r^   r_   r`   ra   r+   r   r   rb   r%   rc   r   r   rJ   r,   rR   r   rd   r   r   r?   r   re      s(    re   )r&   Zos.pathtypingr   r   r   r   r   r   ZPILr   utilsr
   r   Zvisionr   r   re   r   r   r   r   <module>   s      
