a h2 @s|ddlZddlZddlmZddlmZmZmZmZm Z ddl m Z ddl m Z ee eeedffedd d Zeed d d Ze eefeeeeeeffdddZd!e eefeeeefee eeedffeeegefeeeeefdddZGddde ZdZe eefe j dddZe eefedddZe eefedddZGdd d eZdS)"N)Path)AnyCallablecastOptionalUnion)Image) VisionDataset.)filename extensionsreturncCs |t|tr|nt|S)aChecks if a file is an allowed extension. Args: filename (string): path to a file extensions (tuple of strings): extensions to consider (lowercase) Returns: bool: True if the filename ends with one of given extensions )lowerendswith isinstancestrtuple)r r rI/var/www/auris/lib/python3.9/site-packages/torchvision/datasets/folder.pyhas_file_allowed_extension s r)r r cCs t|tS)zChecks if a file is an allowed image extension. Args: filename (string): path to a file Returns: bool: True if the filename ends with a known image extension )rIMG_EXTENSIONS)r rrr is_image_files r directoryr cCsFtddt|D}|s,td|dddt|D}||fS)zWFinds the class folders in a dataset. See :class:`DatasetFolder` for details. css|]}|r|jVqdSN)is_dirname).0entryrrr )zfind_classes..z"Couldn't find any class folder in .cSsi|]\}}||qSrr)ricls_namerrr -r z find_classes..)sortedosscandirFileNotFoundError enumerate)rclasses class_to_idxrrr find_classes$s r,Frr+r is_valid_file allow_emptyr cstj|}|dur"t|\}}n |s.tdduo<|du}duoL|du}|sV|r^tddurzttdfdd }tttgtf|}g}t } t | D]} || } tj || } tj | sqt tj| ddD]R\} }}t |D]>}tj | |}||r|| f}||| | vr| | qqqt | | }|r|sd d t |d }dur|d ttrnd 7}t||S) zGenerates a list of samples of a form (path_to_sample, class). See :class:`DatasetFolder` for details. Note: The class_to_idx parameter is here optional and will use the logic of the ``find_classes`` function by default. NzE'class_to_index' must have at least one entry to collect any samples.zMBoth extensions and is_valid_file cannot be None or not None at the same time)xr cs t|Sr)r)r0r rrr.Msz#make_dataset..is_valid_fileT) followlinksz$Found no valid file for the classes z, z. zSupported extensions are: )r&path expanduserr, ValueErrorrboolrrsetr%keysjoinisdirwalkappendaddrr()rr+r r.r/_Z both_noneZboth_somethingZ instancesZavailable_classesZ target_classZ class_index target_dirrootfnamesfnamer3itemZ empty_classesmsgrr1r make_dataset1sD      $rEc seZdZdZdeeefeegefe e edfe ee ee eege fe ddfdd Z e deeefeeefe e edfe eege fe ee eefdd d Zeeefe eeeeeffd d d Zee eefdddZedddZZS) DatasetFolderaA generic data loader. This default directory structure can be customized by overriding the :meth:`find_classes` method. Args: root (str or ``pathlib.Path``): Root directory path. loader (callable): A function to load a sample given its path. extensions (tuple[string]): A list of allowed extensions. both extensions and is_valid_file should not be passed. transform (callable, optional): A function/transform that takes in a sample and returns a transformed version. E.g, ``transforms.RandomCrop`` for images. target_transform (callable, optional): A function/transform that takes in the target and transforms it. is_valid_file (callable, optional): A function that takes path of a file and check if the file is a valid file (used to check of corrupt files) both extensions and is_valid_file should not be passed. allow_empty(bool, optional): If True, empty folders are considered to be valid classes. An error is raised on empty folders if False (default). Attributes: classes (list): List of the class names sorted alphabetically. class_to_idx (dict): Dict with items (class_name, class_index). samples (list): List of (sample path, class_index) tuples targets (list): The class_index value for each image in the dataset NF.)r@loaderr transformtarget_transformr.r/r c sjtj|||d||j\}} |j|j| |||d} ||_||_||_| |_| |_ dd| D|_ dS)N)rHrI)r+r r.r/cSsg|] }|dqS)r r)rsrrr r z*DatasetFolder.__init__..) super__init__r,r@rErGr r*r+samplestargets) selfr@rGr rHrIr.r/r*r+rN __class__rrrMs zDatasetFolder.__init__r-cCs"|durtdt|||||dS)aGenerates a list of samples of a form (path_to_sample, class). This can be overridden to e.g. read files from a compressed zip file instead of from the disk. Args: directory (str): root dataset directory, corresponding to ``self.root``. class_to_idx (Dict[str, int]): Dictionary mapping class name to class index. extensions (optional): A list of allowed extensions. Either extensions or is_valid_file should be passed. Defaults to None. is_valid_file (optional): A function that takes path of a file and checks if the file is a valid file (used to check of corrupt files) both extensions and is_valid_file should not be passed. Defaults to None. allow_empty(bool, optional): If True, empty folders are considered to be valid classes. An error is raised on empty folders if False (default). Raises: ValueError: In case ``class_to_idx`` is empty. ValueError: In case ``extensions`` and ``is_valid_file`` are None or both are not None. FileNotFoundError: In case no valid file was found for any class. Returns: List[Tuple[str, int]]: samples of a form (path_to_sample, class) Nz*The class_to_idx parameter cannot be None.)r r.r/)r5rE)rr+r r.r/rrrrEs  zDatasetFolder.make_datasetrcCst|S)utFind the class folders in a dataset structured as follows:: directory/ ├── class_x │ ├── xxx.ext │ ├── xxy.ext │ └── ... │ └── xxz.ext └── class_y ├── 123.ext ├── nsdf3.ext └── ... └── asd932_.ext This method can be overridden to only consider a subset of classes, or to adapt to a different dataset directory structure. Args: directory(str): Root directory path, corresponding to ``self.root`` Raises: FileNotFoundError: If ``dir`` has no class folders. Returns: (Tuple[List[str], Dict[str, int]]): List of all classes and dictionary mapping each class to an index. )r,)rPrrrrr,szDatasetFolder.find_classes)indexr cCsH|j|\}}||}|jdur,||}|jdur@||}||fS)z Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class. N)rNrGrHrI)rPrSr3targetsamplerrr __getitem__s     zDatasetFolder.__getitem__)r cCs t|jSr)lenrN)rPrrr__len__szDatasetFolder.__len__)NNNNF)NNF)__name__ __module__ __qualname____doc__rrrrrrrr6rM staticmethoddictintlistrEr,rVrX __classcell__rrrQrrFms>     (,rF) z.jpgz.jpegz.pngz.ppmz.bmpz.pgmz.tifz.tiffz.webp)r3r cCsBt|d$}t|}|dWdS1s40YdS)NrbZRGB)openrconvert)r3fimgrrr pil_loaders  rgcCs4ddl}z ||WSty.t|YS0dS)Nr)accimagerOSErrorrg)r3rhrrraccimage_loader s   rjcCs*ddlm}|dkrt|St|SdS)Nr)get_image_backendrh)Z torchvisionrkrjrg)r3rkrrrdefault_loaders  rlc sdeZdZdZddeddfeeefee ee e ege fee ege fe dfdd Z Z S) ImageFolderaA generic data loader where the images are arranged in this way by default: :: root/dog/xxx.png root/dog/xxy.png root/dog/[...]/xxz.png root/cat/123.png root/cat/nsdf3.png root/cat/[...]/asd932_.png This class inherits from :class:`~torchvision.datasets.DatasetFolder` so the same methods can be overridden to customize the dataset. Args: root (str or ``pathlib.Path``): Root directory path. transform (callable, optional): A function/transform that takes in a PIL image or torch.Tensor, depends on the given loader, and returns a transformed version. E.g, ``transforms.RandomCrop`` target_transform (callable, optional): A function/transform that takes in the target and transforms it. loader (callable, optional): A function to load an image given its path. is_valid_file (callable, optional): A function that takes path of an Image file and check if the file is a valid file (used to check of corrupt files) allow_empty(bool, optional): If True, empty folders are considered to be valid classes. An error is raised on empty folders if False (default). Attributes: classes (list): List of the class names sorted alphabetically. class_to_idx (dict): Dict with items (class_name, class_index). imgs (list): List of (image path, class_index) tuples NF)r@rHrIrGr.r/c s2tj|||durtnd||||d|j|_dS)N)rHrIr.r/)rLrMrrNZimgs)rPr@rHrIrGr.r/rQrrrM?s  zImageFolder.__init__)rYrZr[r\rlrrrrrrr6rMrarrrQrrms"  rm)NNNF)r&os.pathpathlibrtypingrrrrrZPILrZvisionr rrr6rrr`r^r_r,rErFrrgrjrlrmrrrrs6   "  ,  <