o
    )i(                     @   s   d dl Z d dlmZmZmZmZmZmZmZ d dl	m
Z
 ddlmZmZmZmZ ddlmZ G dd deZG d	d
 d
eZG dd deZdS )    N)AnyCallableDictListOptionalTupleUnion)Image   )check_integritydownload_and_extract_archivedownload_urlverify_str_arg)VisionDatasetc                       s   e Zd ZdZdZddddZddd	d
ddddZddddZdZ			d/de	de	de	de	de
e de
e deddf fddZd e	dejfd!d"Zdefd#d$Zd0d%d&Zd'e	d(eee	f de	fd)d*Zde	fd+d,Zdefd-d.Z  ZS )1_LFWzlfw-pyz http://vis-www.cs.umass.edu/lfw/)Zlfwzlfw.tgzZ a17d05bd522c52d84eca14327a23d494)Zlfw_funneledzlfw-funneled.tgzZ 1b42dfed7d15c9b2dd63d5e5840c86ad)zlfw-deepfunneledzlfw-deepfunneled.tgzZ 68331da3eb755a505a502b5aacb3c201)originalfunneledZdeepfunneledZ 9f1ba174e4e1c508ff7cdf10ac338a7dZ 5132f7440eb68cf58910c8a45a2ac10bZ 4f27cbf15b2da4a85c1907eb4181ad21Z 450f0863dd89e85e73936a6d71a3474bZ e4bf5be0a43b5dcd9dc5ccfcb8fb19c5Z 54eaac34beb6d042ed3a7d883e247a21Z a6d0a479bd074669f656265a6e693f6d)z	pairs.txtzpairsDevTest.txtzpairsDevTrain.txtz
people.txtzpeopleDevTest.txtzpeopleDevTrain.txtlfw-names.txt ZDevTrainZDevTest10foldtraintestr   NFrootsplit	image_setview	transformtarget_transformdownloadreturnc           	         s   t  jtj|| j||d t| d| j	 | _
| j| j
 \}| _| _t| dddg| _t| dg d| _| j | j| j  d| _g | _|rR|   |  sZtd	tj| j|| _d S )
N)r   r   r   r   peoplepairsr   r   z.txtzHDataset not found or corrupted. You can use download=True to download it)super__init__ospathjoinbase_folderr   lower	file_dictkeysr   filenamemd5r   r   
annot_filelabels_filedatar   _check_integrityRuntimeErrorr   
images_dir)	selfr   r   r   r   r   r   r   r3   	__class__ g/var/www/html/eduruby.in/lip-sync/lip-sync-env/lib/python3.10/site-packages/torchvision/datasets/lfw.pyr$       s   
z_LFW.__init__r&   c                 C   sB   t |d}t |}|dW  d    S 1 sw   Y  d S )NrbRGB)openr	   convert)r4   r&   fimgr7   r7   r8   _loader<   s   
$z_LFW._loaderc                 C   st   t tj| j| j| j}t tj| j| j| j| j }|r!|s#dS | j	dkr8t tj| j| j
| j| j
 S dS )NFr!   T)r   r%   r&   r'   r   r,   r-   r/   	checksumsr   names)r4   Zst1Zst2r7   r7   r8   r1   A   s    
 z_LFW._check_integrityc                 C   s|   |   r
td d S | j | j }t|| j| j| jd t| j | j | j | j	dkr<t| j | j
 | j d S d S )Nz%Files already downloaded and verified)r,   r-   r!   )r1   printdownload_url_prefixr,   r   r   r-   r   r/   r   rA   )r4   urlr7   r7   r8   r   J   s   
z_LFW.downloadidentitynoc                 C   s$   t j| j|| dt|ddS )N_Z04dz.jpg)r%   r&   r'   r3   int)r4   rE   rF   r7   r7   r8   	_get_pathT   s   $z_LFW._get_pathc                 C   s   d| j  d| j S )NzAlignment: z
Split: )r   r   r4   r7   r7   r8   
extra_reprW   s   z_LFW.extra_reprc                 C   s
   t | jS )N)lenr0   rJ   r7   r7   r8   __len__Z   s   
z_LFW.__len__)NNF)r    N)__name__
__module____qualname__r(   rC   r*   r@   r.   rA   strr   r   boolr$   r	   r?   r1   r   r   rH   rI   rK   rM   __classcell__r7   r7   r5   r8   r   
   sV    		
	
r   c                       s   e Zd ZdZ					ddededed	ee d
ee deddf fddZde	e
e e
e f fddZdeeef fddZdede	eef fddZdef fddZ  ZS )	LFWPeoplea  `LFW <http://vis-www.cs.umass.edu/lfw/>`_ Dataset.

    Args:
        root (string): Root directory of dataset where directory
            ``lfw-py`` exists or will be saved to if download is set to True.
        split (string, optional): The image split to use. Can be one of ``train``, ``test``,
            ``10fold`` (default).
        image_set (str, optional): Type of image funneling to use, ``original``, ``funneled`` or
            ``deepfunneled``. Defaults to ``funneled``.
        transform (callable, optional): A function/transform that  takes in an PIL image
            and returns a transformed version. E.g, ``transforms.RandomRotation``
        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.

    r   r   NFr   r   r   r   r   r   r    c              	      s6   t  |||d||| |  | _|  \| _| _d S )Nr!   )r#   r$   _get_classesclass_to_idx_get_peopler0   targetsr4   r   r   r   r   r   r   r5   r7   r8   r$   r   s   	
zLFWPeople.__init__c                 C   s  g g }}t tj| j| jn}| }| jdkr"t|d dfnd\}}t	|D ]I}t|| }dd ||d || d  D }	||d 7 }t
|	D ]%\}
\}}t	dt|d D ]}| ||}|| || j|  q\qMq*W d    ||fS 1 sw   Y  ||fS )Nr   r   r
   )r
   r   c                 S      g | ]	}|  d qS 	stripr   .0liner7   r7   r8   
<listcomp>       z)LFWPeople._get_people.<locals>.<listcomp>)r;   r%   r&   r'   r   r/   	readlinesr   rH   range	enumeraterI   appendrV   )r4   r0   rX   r=   linesn_foldssfoldZn_linesr!   irE   Znum_imgsnumr>   r7   r7   r8   rW      s(   
""

zLFWPeople._get_peoplec                 C   sb   t tj| j| j}| }dd |D }W d    n1 s!w   Y  dd t|D }|S )Nc                 S   s   g | ]
}|   d  qS )r   r]   r_   r7   r7   r8   rb      s    z*LFWPeople._get_classes.<locals>.<listcomp>c                 S   s   i | ]\}}||qS r7   r7   )r`   rl   namer7   r7   r8   
<dictcomp>   s    z*LFWPeople._get_classes.<locals>.<dictcomp>)r;   r%   r&   r'   r   rA   rd   rf   )r4   r=   rh   rA   rV   r7   r7   r8   rU      s   zLFWPeople._get_classesindexc                 C   sJ   |  | j| }| j| }| jdur| |}| jdur!| |}||fS )z
        Args:
            index (int): Index

        Returns:
            tuple: Tuple (image, target) where target is the identity of the person.
        N)r?   r0   rX   r   r   )r4   rp   r>   targetr7   r7   r8   __getitem__   s   




zLFWPeople.__getitem__c                    s   t   dt| j  S )Nz
Classes (identities): )r#   rK   rL   rV   rJ   r5   r7   r8   rK      s   zLFWPeople.extra_reprr   r   NNF)rN   rO   rP   __doc__rQ   r   r   rR   r$   r   r   rH   rW   r   rU   r   rr   rK   rS   r7   r7   r5   r8   rT   ^   s4    rT   c                       s   e Zd ZdZ					ddededed	ee d
ee deddf fddZdede	e
e	eef  e
e	eef  e
e f fddZdede	eeef fddZ  ZS )LFWPairsa  `LFW <http://vis-www.cs.umass.edu/lfw/>`_ Dataset.

    Args:
        root (string): Root directory of dataset where directory
            ``lfw-py`` exists or will be saved to if download is set to True.
        split (string, optional): The image split to use. Can be one of ``train``, ``test``,
            ``10fold``. Defaults to ``10fold``.
        image_set (str, optional): Type of image funneling to use, ``original``, ``funneled`` or
            ``deepfunneled``. Defaults to ``funneled``.
        transform (callable, optional): A function/transform that  takes in an PIL image
            and returns a transformed version. E.g, ``transforms.RandomRotation``
        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.

    r   r   NFr   r   r   r   r   r   r    c              	      s4   t  |||d||| | | j\| _| _| _d S )Nr"   )r#   r$   
_get_pairsr3   
pair_namesr0   rX   rY   r5   r7   r8   r$      s   	zLFWPairs.__init__r3   c              	   C   s  g g g }}}t tj| j| j}| }| jdkr0|d d\}}t|t|}}n	dt|d }}d}	t	|D ]}
dd ||	|	|  D }dd ||	| |	d|   D }|	d| 7 }	|D ]1}| 
|d |d | 
|d |d d}}}||d |d f |||f || qg|D ]1}| 
|d |d | 
|d |d	 d}}}||d |d f |||f || qq?W d    n1 sw   Y  |||fS )
Nr   r   r\   r
   c                 S   rZ   r[   r]   r_   r7   r7   r8   rb      rc   z'LFWPairs._get_pairs.<locals>.<listcomp>c                 S   rZ   r[   r]   r_   r7   r7   r8   rb      rc         )r;   r%   r&   r'   r   r/   rd   r   rH   re   rI   rg   )r4   r3   rw   r0   rX   r=   rh   ri   Zn_pairsrj   rk   Zmatched_pairsZunmatched_pairspairimg1img2Zsamer7   r7   r8   rv      s4   
"00
zLFWPairs._get_pairsrp   c                 C   sl   | j | \}}| || |}}| j| }| jdur'| || |}}| jdur1| |}|||fS )z
        Args:
            index (int): Index

        Returns:
            tuple: (image1, image2, target) where target is `0` for different indentities and `1` for same identities.
        N)r0   r?   rX   r   r   )r4   rp   r{   r|   rq   r7   r7   r8   rr      s   




zLFWPairs.__getitem__rs   )rN   rO   rP   rt   rQ   r   r   rR   r$   r   r   rH   rv   r   rr   rS   r7   r7   r5   r8   ru      s0    8$ru   )r%   typingr   r   r   r   r   r   r   ZPILr	   utilsr   r   r   r   Zvisionr   r   rT   ru   r7   r7   r7   r8   <module>   s    $TR