o
    Ni                     @   s   d Z ddlmZ ddlmZ ddlmZ ddlZddlZddlZddlm	  m
Z ddlmZ dZdZdZd	Zd
ZG dd dejjZdS )zJImagenet val. annotated by ReaL labels (https://arxiv.org/abs/2006.07159).    )absolute_import)division)print_functionNa9  This dataset contains ILSVRC-2012 (ImageNet) validation images augmented with a
new set of "Re-Assessed" (ReaL) labels from the "Are we done with ImageNet"
paper, see https://arxiv.org/abs/2006.07159. These labels are collected using
the enhanced protocol, resulting in multi-label and more accurate annotations.
a  @article{beyer2020imagenet,
  title={Are we done with ImageNet?},
  author={Lucas Beyer and Olivier J. Henaff and Alexander Kolesnikov and Xiaohua Zhai and Aaron van den Oord},
  journal={arXiv preprint arXiv:2002.05709},
  year={2020}
}
@article{ILSVRC15,
  Author={Olga Russakovsky and Jia Deng and Hao Su and Jonathan Krause and Sanjeev Satheesh and Sean Ma and Zhiheng Huang and Andrej Karpathy and Aditya Khosla and Michael Bernstein and Alexander C. Berg and Li Fei-Fei},
  Title={{ImageNet Large Scale Visual Recognition Challenge}},
  Year={2015},
  journal={International Journal of Computer Vision (IJCV)},
  doi={10.1007/s11263-015-0816-y},
  volume={115},
  number={3},
  pages={211-252}
}
z7image_classification/imagenet2012_validation_labels.txtz,image_classification/imagenet2012_labels.txtzVhttps://raw.githubusercontent.com/google-research/reassessed-imagenet/master/real.jsonc                   @   sN   e Zd ZdZejddZdZdd Z	dd Z
ed	d
 Zdd Zdd ZdS )Imagenet2012Realz,ImageNet validation images with ReaL labels.z1.0.0zInitial release.z  manual_dir should contain `ILSVRC2012_img_val.tar` file.
  You need to register on http://www.image-net.org/download-images in order
  to get the link to download the dataset.
  c                 C   sb   t jt}t jj| tt jt jjddt jj	|dt j
t jj	|dt j dddtdS )Njpeg)encoding_format)
names_file)imageoriginal_label
real_label	file_name)r	   r   z6https://github.com/google-research/reassessed-imagenet)builderdescriptionfeaturessupervised_keyshomepagecitation)tfdscoreget_tfds_path_LABELS_FNAMEDatasetInfo_DESCRIPTIONr   FeaturesDictImage
ClassLabelSequenceText	_CITATION)selfr    r    n/home/ubuntu/.local/lib/python3.10/site-packages/tensorflow_datasets/image_classification/imagenet2012_real.py_infoJ   s    zImagenet2012Real._infoc                 C   sR   t jj|td}dd tt|D W  d    S 1 s"w   Y  d S )Nrc                 S   s    i | ]\}}d  |d |qS )zILSVRC2012_val_{:08}.JPEG   )format).0ilabelsr    r    r!   
<dictcomp>^   s    z5Imagenet2012Real._get_real_labels.<locals>.<dictcomp>)	tfiogfileGFiledownload_REAL_LABELS_URL	enumeratejsonload)r   
dl_managerfr    r    r!   _get_real_labels[   s
   $z!Imagenet2012Real._get_real_labelsc                 C   s   t jt}tjj|}| 	 
 }W d   n1 s w   Y  tjj| d}tjd|d}t| }W d   n1 sEw   Y  tt||S )a  Returns labels for validation.

    Args:
      val_path: path to TAR file containing validation images. It is used to
      retrieve the name of pictures and associate them to labels.

    Returns:
      dict, mapping from image name (str) to label (str).
    Nrbzr:)modefileobj)r   r   r   _VALIDATION_LABELS_FNAMEr*   r+   r,   r-   readstrip
splitlinestarfileopensortedgetnamesdictzip)val_pathlabels_pathlabels_fr(   	tar_f_objtarimagesr    r    r!   _get_original_labelsa   s   z%Imagenet2012Real._get_original_labelsc                 C   s\   t j|jd}tjj|std	|t
jjt
jj||| || |ddgS )NzILSVRC2012_img_val.tarzlImageNet requires manual download of the data. Please download the train and val set and place them into: {})archiveoriginal_labelsreal_labels)name
gen_kwargs)ospathjoin
manual_dirr*   r+   r,   existsAssertionErrorr%   r   r   SplitGeneratorSplit
VALIDATIONiter_archiverI   r5   )r   r3   rC   r    r    r!   _split_generatorsu   s   z"Imagenet2012Real._split_generatorsc                 c   s4    |D ]\}}|||| || d}||fV  qd S )N)r   r	   r
   r   r    )r   rJ   rK   rL   fnamefobjrecordr    r    r!   _generate_examples   s   z#Imagenet2012Real._generate_examplesN)__name__
__module____qualname____doc__r   r   VersionVERSIONMANUAL_DOWNLOAD_INSTRUCTIONSr"   r5   staticmethodrI   rY   r]   r    r    r    r!   r   ?   s    
r   )ra   
__future__r   r   r   r1   rO   r=   tensorflow.compat.v2compatv2r*   tensorflow_datasets.public_api
public_apir   r   r   r9   r   r/   r   GeneratorBasedBuilderr   r    r    r    r!   <module>   s   