o
    0i                     @   sx   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 ddlmZmZ ddlmZ G dd	 d	eZdS )
    N)AnyCallableListOptionalTupleUnion)urlparse)Image   )download_and_extract_archiveverify_str_arg)VisionDatasetc                       s   e Zd ZdZdZdZ				ddeeej	f ded	e
e d
e
e deddf fddZdefddZdedeeef fddZdefddZdddZdefddZ  ZS )CLEVRClassificationa  `CLEVR <https://cs.stanford.edu/people/jcjohns/clevr/>`_  classification dataset.

    The number of objects in a scene are used as label.

    Args:
        root (str or ``pathlib.Path``): Root directory of dataset where directory ``root/clevr`` exists or will be saved to if download is
            set to True.
        split (string, optional): The dataset split, supports ``"train"`` (default), ``"val"``, or ``"test"``.
        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 them 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.
    z3https://dl.fbaipublicfiles.com/clevr/CLEVR_v1.0.zip b11922020e72d0cd9154779b2d3d07d2trainNFrootsplit	transformtarget_transformdownloadreturnc                    s  t |dd| _t j|||d t| jd | _| jtt| j	j
j | _|r-|   |  s5tdt| jd| jd| _|  | jdkrt| jd	 d
| j d }t|}W d    n1 shw   Y  dd |d	 D   fdd| jD | _d S d gt| j | _d S )Nr   )r   valtest)r   r   clevrzHDataset not found or corrupted. You can use download=True to download itimages*r   scenesCLEVR_z_scenes.jsonc                 S   s   i | ]}|d  t |d qS )image_filenameobjects)len).0scene r#   X/home/ubuntu/SoloSpeech/.venv/lib/python3.10/site-packages/torchvision/datasets/clevr.py
<dictcomp>8   s    z0CLEVRClassification.__init__.<locals>.<dictcomp>c                    s   g | ]} |j  qS r#   )name)r!   
image_filenum_objectsr#   r$   
<listcomp>9   s    z0CLEVRClassification.__init__.<locals>.<listcomp>)r   _splitsuper__init__pathlibPathr   _base_folderr   _URLpathstem_data_folder	_download_check_existsRuntimeErrorsortedjoinpathglob_image_filesopenjsonload_labelsr    )selfr   r   r   r   r   filecontent	__class__r(   r$   r-      s"   
zCLEVRClassification.__init__c                 C   s
   t | jS N)r    r;   r@   r#   r#   r$   __len__=   s   
zCLEVRClassification.__len__idxc                 C   sL   | j | }| j| }t|d}| jr| |}| jr"| |}||fS )NRGB)r;   r?   r	   r<   convertr   r   )r@   rH   r'   labelimager#   r#   r$   __getitem__@   s   



zCLEVRClassification.__getitem__c                 C   s   | j  o	| j  S rE   )r4   existsis_dirrF   r#   r#   r$   r6   N   s   z!CLEVRClassification._check_existsc                 C   s(   |   rd S t| jt| j| jd d S )N)md5)r6   r   r1   strr0   _MD5rF   r#   r#   r$   r5   Q   s   zCLEVRClassification._downloadc                 C   s   d| j  S )Nzsplit=)r+   rF   r#   r#   r$   
extra_reprW   s   zCLEVRClassification.extra_repr)r   NNF)r   N)__name__
__module____qualname____doc__r1   rR   r   rQ   r.   r/   r   r   boolr-   intrG   r   r   rM   r6   r5   rS   __classcell__r#   r#   rC   r$   r      s4    
r   )r=   r.   typingr   r   r   r   r   r   urllib.parser   PILr	   utilsr   r   visionr   r   r#   r#   r#   r$   <module>   s     