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import os |
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from dassl.data.datasets import DATASET_REGISTRY, Datum, DatasetBase |
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from dassl.utils import listdir_nohidden |
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from .imagenet import ImageNet |
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@DATASET_REGISTRY.register() |
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class ImageNetSketch(DatasetBase): |
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"""ImageNet-Sketch. |
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This dataset is used for testing only. |
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""" |
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dataset_dir = "imagenet-sketch" |
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def __init__(self, cfg): |
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root = os.path.abspath(os.path.expanduser(cfg.DATASET.ROOT)) |
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self.dataset_dir = os.path.join(root, self.dataset_dir) |
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self.image_dir = os.path.join(self.dataset_dir, "images") |
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text_file = os.path.join(self.dataset_dir, "classnames.txt") |
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classnames = ImageNet.read_classnames(text_file) |
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data = self.read_data(classnames) |
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_,self.all_classnames = self.get_lab2cname(data) |
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super().__init__(train_x=data, test=data) |
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def read_data(self, classnames): |
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image_dir = self.image_dir |
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folders = listdir_nohidden(image_dir, sort=True) |
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items = [] |
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for label, folder in enumerate(folders): |
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imnames = listdir_nohidden(os.path.join(image_dir, folder)) |
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classname = classnames[folder] |
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for imname in imnames: |
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impath = os.path.join(image_dir, folder, imname) |
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item = Datum(impath=impath, label=label, classname=classname) |
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items.append(item) |
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return items |
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