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    hp"                     @   sn  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 zd dlmZ W n ey7   d dl	mZ Y nw d dlmZ ddlmZmZ dd	lmZ d
ddejddddddejdddddddejddddddejddddddejdddd d!d"ejdd#dd$d%d&ejdd#dd'ZG d(d) d)eZG d*d+ d+eZG d,d- d-eZdS ).    N)Path)AnyCallableOptionalUnion)Element)parse)Image   )download_and_extract_archiveverify_str_arg)VisionDatasetzJhttp://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tarzVOCtrainval_11-May-2012.tarZ 6cd6e144f989b92b3379bac3b3de84fdZ	VOCdevkitZVOC2012)urlfilenamemd5base_dirzJhttp://host.robots.ox.ac.uk/pascal/VOC/voc2011/VOCtrainval_25-May-2011.tarzVOCtrainval_25-May-2011.tarZ 6c3384ef61512963050cb5d687e5bf1eZTrainValZVOC2011zJhttp://host.robots.ox.ac.uk/pascal/VOC/voc2010/VOCtrainval_03-May-2010.tarzVOCtrainval_03-May-2010.tarZ da459979d0c395079b5c75ee67908abbZVOC2010zJhttp://host.robots.ox.ac.uk/pascal/VOC/voc2009/VOCtrainval_11-May-2009.tarzVOCtrainval_11-May-2009.tarZ a3e00b113cfcfebf17e343f59da3caa1ZVOC2009zJhttp://host.robots.ox.ac.uk/pascal/VOC/voc2008/VOCtrainval_14-Jul-2008.tarZ 2629fa636546599198acfcfbfcf1904aZVOC2008zJhttp://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCtrainval_06-Nov-2007.tarzVOCtrainval_06-Nov-2007.tarZ c52e279531787c972589f7e41ab4ae64ZVOC2007zFhttp://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCtest_06-Nov-2007.tarzVOCtest_06-Nov-2007.tarZ b6e924de25625d8de591ea690078ad9f)2012Z2011Z2010Z2009Z20082007	2007-testc                       s   e Zd ZU eed< eed< eed< 						ddeeef d	ed
ededee	 dee	 dee	 f fddZ
defddZ  ZS )_VOCBase_SPLITS_DIR_TARGET_DIR_TARGET_FILE_EXTr   trainFNrootyear	image_setdownload	transformtarget_transform
transformsc                    s  t  |||| t|ddd tddD d_g d}|dkr&|d	 t|d
|_|dkr7|d	kr7dn|}	t|	 }
|
d _|
d _	|
d _
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d }tjj|}|rftjjj	j
d tj|sptdtj|dj}tj||dd }ttj|}dd | D }W d    n1 sw   Y  tj|d  fdd|D _tj|jfdd|D _tjtjksJ d S )Nr   c                 S   s   g | ]}t |qS  )str).0yrr!   r!   ^/home/www/facesmatcher.com/frenv_anti/lib/python3.10/site-packages/torchvision/datasets/voc.py
<listcomp>P       z%_VOCBase.__init__.<locals>.<listcomp>i  i  )Zvalid_values)r   Ztrainvalvalr   testr   r   r   r   r   r   )r   r   zHDataset not found or corrupted. You can use download=True to download itZ	ImageSets
z.txtc                 S   s   g | ]}|  qS r!   )stripr#   xr!   r!   r%   r&   j   r'   Z
JPEGImagesc                    s   g | ]}t j |d  qS )z.jpg)ospathjoinr,   )	image_dirr!   r%   r&   m   s    c                    s    g | ]}t j| j qS r!   )r.   r/   r0   r   r,   )self
target_dirr!   r%   r&   p   s     )super__init__r   ranger   appendr   DATASET_YEAR_DICTr   r   r   r.   r/   r0   r   r   isdirRuntimeErrorr   rstripopen	readlinesimagesr   targetslen)r2   r   r   r   r   r   r   r    Zvalid_image_setskeyZdataset_year_dictr   Zvoc_rootZ
splits_dirZsplit_ffZ
file_names	__class__)r1   r2   r3   r%   r5   D   s6   
 



z_VOCBase.__init__returnc                 C   s
   t | jS N)r@   r>   r2   r!   r!   r%   __len__t   s   
z_VOCBase.__len__)r   r   FNNN)__name__
__module____qualname__r"   __annotations__r   r   boolr   r   r5   intrH   __classcell__r!   r!   rC   r%   r   ?   s4   
 
0r   c                   @   sL   e Zd ZdZdZdZdZedee	 fddZ
dedeeef fd	d
ZdS )VOCSegmentationa2  `Pascal VOC <http://host.robots.ox.ac.uk/pascal/VOC/>`_ Segmentation Dataset.

    Args:
        root (str or ``pathlib.Path``): Root directory of the VOC Dataset.
        year (string, optional): The dataset year, supports years ``"2007"`` to ``"2012"``.
        image_set (string, optional): Select the image_set to use, ``"train"``, ``"trainval"`` or ``"val"``. If
            ``year=="2007"``, can also be ``"test"``.
        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.
        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.
        transforms (callable, optional): A function/transform that takes input sample and its target as entry
            and returns a transformed version.
    ZSegmentationZSegmentationClassz.pngrE   c                 C      | j S rF   r?   rG   r!   r!   r%   masks      zVOCSegmentation.masksindexc                 C   sH   t | j| d}t | j| }| jdur | ||\}}||fS )z
        Args:
            index (int): Index

        Returns:
            tuple: (image, target) where target is the image segmentation.
        RGBN)r	   r<   r>   convertrS   r    r2   rU   Zimgtargetr!   r!   r%   __getitem__   s
   
zVOCSegmentation.__getitem__N)rI   rJ   rK   __doc__r   r   r   propertylistr"   rS   rN   tupler   rZ   r!   r!   r!   r%   rP   x   s    rP   c                   @   sj   e Zd ZdZdZdZdZedee	 fddZ
dedeeef fd	d
Zededee	ef fddZdS )VOCDetectionan  `Pascal VOC <http://host.robots.ox.ac.uk/pascal/VOC/>`_ Detection Dataset.

    Args:
        root (str or ``pathlib.Path``): Root directory of the VOC Dataset.
        year (string, optional): The dataset year, supports years ``"2007"`` to ``"2012"``.
        image_set (string, optional): Select the image_set to use, ``"train"``, ``"trainval"`` or ``"val"``. If
            ``year=="2007"``, can also be ``"test"``.
        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.
            (default: alphabetic indexing of VOC's 20 classes).
        transform (callable, optional): A function/transform that takes in a PIL image
            and returns a transformed version. E.g, ``transforms.RandomCrop``
        target_transform (callable, required): A function/transform that takes in the
            target and transforms it.
        transforms (callable, optional): A function/transform that takes input sample and its target as entry
            and returns a transformed version.
    ZMainZAnnotationsz.xmlrE   c                 C   rQ   rF   rR   rG   r!   r!   r%   annotations   rT   zVOCDetection.annotationsrU   c                 C   sP   t | j| d}| t| j|  }| jdur$| ||\}}||fS )z
        Args:
            index (int): Index

        Returns:
            tuple: (image, target) where target is a dictionary of the XML tree.
        rV   N)	r	   r<   r>   rW   parse_voc_xmlET_parser`   Zgetrootr    rX   r!   r!   r%   rZ      s
   
zVOCDetection.__getitem__nodec                 C   s   i }t | }|r>tt }ttj|D ]}| D ]\}}|| | qq| jdkr2|d g|d< | jdd | D i}| j	rM| j	
 }|sM||| j< |S )N
annotationobjectc                 S   s*   i | ]\}}|t |d kr|d n|qS )r
   r   )r@   )r#   indvr!   r!   r%   
<dictcomp>   s   * z.VOCDetection.parse_voc_xml.<locals>.<dictcomp>)r]   collectionsdefaultdictmapr_   ra   itemsr7   tagtextr+   )rc   Zvoc_dictchildrenZdef_dicZdcrf   rg   rn   r!   r!   r%   ra      s    



zVOCDetection.parse_voc_xmlN)rI   rJ   rK   r[   r   r   r   r\   r]   r"   r`   rN   r^   r   rZ   staticmethod
ET_Elementdictra   r!   r!   r!   r%   r_      s     r_   )ri   r.   pathlibr   typingr   r   r   r   Zxml.etree.ElementTreer   rq   Zdefusedxml.ElementTreer   rb   ImportErrorZPILr	   utilsr   r   Zvisionr   r/   r0   r8   r   rP   r_   r!   r!   r!   r%   <module>   sh    .9,