
    ,}hh                     z    d dl mZ d dl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mZ ddlmZ  G d d	e      Zy
)    )Path)AnyCallableOptionalTupleUnion)Image   )find_classesmake_dataset)download_and_extract_archiveverify_str_arg)VisionDatasetc                        e Zd ZdZddddZdddd	d
dddddd
Z	 	 	 	 	 ddeeef   dedede	e
   de	e
   ddf fdZdefdZd Zdedeeef   fdZdefdZ xZS )
Imagenettea`  `Imagenette <https://github.com/fastai/imagenette#imagenette-1>`_ image classification dataset.

    Args:
        root (str or ``pathlib.Path``): Root directory of the Imagenette dataset.
        split (string, optional): The dataset split. Supports ``"train"`` (default), and ``"val"``.
        size (string, optional): The image size. Supports ``"full"`` (default), ``"320px"``, and ``"160px"``.
        download (bool, optional): If ``True``, downloads the dataset components and places them in ``root``. Already
            downloaded archives are 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.

     Attributes:
        classes (list): List of the class name tuples.
        class_to_idx (dict): Dict with items (class name, class index).
        wnids (list): List of the WordNet IDs.
        wnid_to_idx (dict): Dict with items (WordNet ID, class index).
    )z:https://s3.amazonaws.com/fast-ai-imageclas/imagenette2.tgz fe2fc210e6bb7c5664d602c3cd71e612)z>https://s3.amazonaws.com/fast-ai-imageclas/imagenette2-320.tgz 3df6f0d01a2c9592104656642f5e78a3)z>https://s3.amazonaws.com/fast-ai-imageclas/imagenette2-160.tgz e793b78cc4c9e9a4ccc0c1155377a412full320px160px)tenchzTinca tinca)zEnglish springerzEnglish springer spaniel)zcassette player)z	chain sawchainsaw)churchzchurch building)zFrench hornhorn)zgarbage truckdustcart)zgas pumpzgasoline pumpzpetrol pumpzisland dispenser)z	golf ball)	parachutechute)
	n01440764	n02102040	n02979186	n03000684	n03028079	n03394916	n03417042	n03425413	n03445777	n03888257Nrootsplitsize	transformtarget_transformreturnc                 x   t         
|   |||       t        |dddg      | _        t        |dg d      | _        | j
                  | j                     \  | _        | _        t        | j                        t        | j                        j                  z  | _        t        | j                  | j                  z        | _        |r| j                          n| j                         st!        d      t#        | j                        \  | _        | _        | j$                  D cg c]  }| j(                  |    c}| _        | j&                  j-                         D 	ci c]  \  }}| j(                  |   D ]  }	|	|  c}	}}| _        t1        | j                  | j&                  d	      | _        y c c}w c c}	}}w )
N)r-   r.   r+   trainvalr,   r   z<Dataset not found. You can use download=True to download it.z.jpeg)
extensions)super__init__r   _split_size	_ARCHIVES_url_md5r   r*   stem
_size_rootstr_image_root	_download_check_existsRuntimeErrorr   wnidswnid_to_idx_WNID_TO_CLASSclassesitemsclass_to_idxr   _samples)selfr*   r+   r,   downloadr-   r.   wnididx
class_name	__class__s             ^/var/www/html/test/engine/venv/lib/python3.12/site-packages/torchvision/datasets/imagenette.pyr5   zImagenette.__init__1   st    	EUV$UGgu5EF#D&2LM
#~~djj9	49tyy/DO,@,@@t<=NN##%]^^'3D4D4D'E$
D$>BjjId++D1I-1-=-=-C-C-E
 
 )cX\XkXklpXq
JTJO

 %T%5%5t7G7GT[\	 J
s   !F0!F5c                 6    | j                   j                         S N)r<   existsrI   s    rO   r@   zImagenette._check_existsO   s    %%''    c                     | j                         rt        d| j                   d      t        | j                  | j
                  | j                         y )NzThe directory z[ already exists. If you want to re-download or re-extract the images, delete the directory.)md5)r@   rA   r<   r   r9   r*   r:   rS   s    rO   r?   zImagenette._downloadR   sM      1 2] ^ 
 	%TYY		tyyIrT   rL   c                     | j                   |   \  }}t        j                  |      j                  d      }| j                  | j	                  |      }| j
                  | j                  |      }||fS )NRGB)rH   r	   openconvertr-   r.   )rI   rL   pathlabelimages        rO   __getitem__zImagenette.__getitem__[   sk    mmC(e

4 ((/>>%NN5)E  ,))%0Ee|rT   c                 ,    t        | j                        S rQ   )lenrH   rS   s    rO   __len__zImagenette.__len__g   s    4==!!rT   )r1   r   FNN)__name__
__module____qualname____doc__r8   rD   r   r=   r   r   r   r5   boolr@   r?   intr   r   r^   ra   __classcell__)rN   s   @rO   r   r      s    ( swwI .E).2,2U#+N  (,/3]CI] ] 	] H%] #8,] 
]<(t (J
s 
uS#X 
" "rT   r   N)pathlibr   typingr   r   r   r   r   PILr	   folderr   r   utilsr   r   visionr   r    rT   rO   <module>rp      s(     8 8  . ? !]" ]"rT   