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Source code for tllib.vision.datasets.officecaltech

"""
@author: Junguang Jiang
@contact: JiangJunguang1123@outlook.com
"""
import os
from typing import Optional
from torchvision.datasets.folder import DatasetFolder, IMG_EXTENSIONS, default_loader
from torchvision.datasets.utils import download_and_extract_archive
from ._util import check_exits


[docs]class OfficeCaltech(DatasetFolder): """Office+Caltech Dataset. Args: root (str): Root directory of dataset task (str): The task (domain) to create dataset. Choices include ``'A'``: amazon, \ ``'D'``: dslr, ``'W'``:webcam and ``'C'``: caltech. 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. transform (callable, optional): A function/transform that takes in an PIL image and returns a \ transformed version. E.g, :class:`torchvision.transforms.RandomCrop`. target_transform (callable, optional): A function/transform that takes in the target and transforms it. .. note:: In `root`, there will exist following files after downloading. :: amazon/ images/ backpack/ *.jpg ... dslr/ webcam/ caltech/ image_list/ amazon.txt dslr.txt webcam.txt caltech.txt """ directories = { "A": "amazon", "D": "dslr", "W": "webcam", "C": "caltech" } CLASSES = ['back_pack', 'bike', 'calculator', 'headphones', 'keyboard', 'laptop_computer', 'monitor', 'mouse', 'mug', 'projector'] def __init__(self, root: str, task: str, download: Optional[bool] = False, **kwargs): if download: for dir in self.directories.values(): if not os.path.exists(os.path.join(root, dir)): download_and_extract_archive(url="https://cloud.tsinghua.edu.cn/f/e93f2e07d93243d6b57e/?dl=1", download_root=os.path.join(root, 'download'), filename="officecaltech.tgz", remove_finished=False, extract_root=root) break else: list(map(lambda dir, _: check_exits(root, dir), self.directories.values())) super(OfficeCaltech, self).__init__( os.path.join(root, self.directories[task]), default_loader, extensions=IMG_EXTENSIONS, **kwargs) self.classes = OfficeCaltech.CLASSES self.class_to_idx = {cls: idx for idx, clss in enumerate(self.classes) for cls in clss} @property def num_classes(self): """Number of classes""" return len(self.classes) @classmethod def domains(cls): return list(cls.directories.keys())

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