U hj2 @spddlZddlZddlmZddlmZmZmZmZm Z m Z m Z m Z ddl mZddlmZee ee edffedd d Zeed d d Ze eefe e eeeeffdddZd!e eefe eeefe e ee edffe eegefee e eefdddZGdddeZdZeejdddZeedddZeedddZGdd d eZdS)"N)Path)AnyCallablecastDictListOptionalTupleUnion)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)rrrM/var/www/html/venv/lib/python3.8/site-packages/torchvision/datasets/folder.pyhas_file_allowed_extension s r)rrcCs 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)rrrr is_image_files r directoryrcCsFtddt|D}|s,td|dddt|D}||fS)zWFinds the class folders in a dataset. See :class:`DatasetFolder` for details. css|]}|r|jVqdSN)is_dirname).0entryrrr )szfind_classes..z"Couldn't find any class folder in .cSsi|]\}}||qSrr)r icls_namerrr -sz find_classes..)sortedosscandirFileNotFoundError enumerate)rclasses class_to_idxrrr find_classes$s r.Frr-r is_valid_file allow_emptyrcstj|}|dkr"t|\}}n |s.tddko<|dk}dk oL|dk }|sV|r^tddk rzttdfdd }tttgtf|}g}t } t | D]} || } tj || } tj | sqt tj| ddD]R\} }}t |D]>}tj | |}||r|| f}||| | kr| | qqqt | | }|r|sd d t |d }dk r|d ttrnd 7}t||S) zGenerates a list of samples of a form (path_to_sample, class). See :class:`DatasetFolder` for details. Note: The class_to_idx parameter is here optional and will use the logic of the ``find_classes`` function by default. NzE'class_to_index' must have at least one entry to collect any samples.zMBoth extensions and is_valid_file cannot be None or not None at the same time)xrcs t|Sr)r)r2rrrr0Msz#make_dataset..is_valid_fileT) followlinksz$Found no valid file for the classes z, z. zSupported extensions are: )r(path expanduserr. ValueErrorrboolrrsetr'keysjoinisdirwalkappendaddrr*)rr-rr0r1_Z both_noneZboth_somethingZ instancesZavailable_classesZ target_classZ class_index target_dirrootfnamesfnamer5itemZ empty_classesmsgrr3r make_dataset1sD      $rGc 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.)rBloaderr transformtarget_transformr0r1rc sjtj|||d||j\}} |j|j| |||d} ||_||_||_| |_| |_ dd| D|_ dS)N)rJrK)r-rr0r1cSsg|] }|dqS)r r)r srrr sz*DatasetFolder.__init__..) super__init__r.rBrGrIrr,r-samplestargets) selfrBrIrrJrKr0r1r,r-rP __class__rrrOs zDatasetFolder.__init__r/cCs"|dkrtdt|||||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.)rr0r1)r7rG)rr-rr0r1rrrrGs 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.)rRrrrrr.szDatasetFolder.find_classes)indexrcCsH|j|\}}||}|jdk r,||}|jdk r@||}||fS)z Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class. N)rPrIrJrK)rRrUr5targetsamplerrr __getitem__s     zDatasetFolder.__getitem__)rcCs t|jSr)lenrP)rRrrr__len__szDatasetFolder.__len__)NNNNF)NNF)__name__ __module__ __qualname____doc__r rrrrrr r8rO staticmethodrintrrGr.rXrZ __classcell__rrrSrrHms>     (,rH) z.jpgz.jpegz.pngz.ppmz.bmpz.pgmz.tifz.tiffz.webp)r5rc Cs6t|d"}t|}|dW5QRSQRXdS)NrbRGB)openr convert)r5fZimgrrr pil_loaders  rgcCs6ddl}z ||WStk r0t|YSXdS)Nr)accimager OSErrorrg)r5rhrrraccimage_loader s  rjcCs*ddlm}|dkrt|St|SdS)Nr)get_image_backendrh)Z torchvisionrkrjrg)r5rkrrrdefault_loaders  rlc s\eZdZdZddeddfeeeeeeegefeeege fe dfdd Z Z S) ImageFolderatA 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 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)rBrJrKrIr0r1c s2tj|||dkrtnd||||d|j|_dS)N)rJrKr0r1)rNrOrrPZimgs)rRrBrJrKrIr0r1rSrrrO?s  zImageFolder.__init__) r[r\r]r^rlrrrrr8rOrarrrSrrms" rm)NNNF)r(os.pathpathlibrtypingrrrrrrr r ZPILr Zvisionr rr8rrr`r.rGrHrrgrjrlrmrrrrs6 (  "  ,  <