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def __init__(self, data_dir, meta_file, transform=None): |
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"""The function to initialize ImageNet class. |
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Args: |
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data_dir (str): The path to the dataset. |
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meta_file (str): The path to the file containing image directories and labels. |
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transform (torchvision.transforms): The transform for input image. |
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""" |
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self.data_dir = data_dir |
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self.meta_file = meta_file |
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self.transform = transform |
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self._indices = [] |
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for line in open(os.path.join(os.path.dirname(__file__), meta_file), encoding="utf-8"): |
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img_path, label, target_label = line.strip().split(' ') |
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self._indices.append((os.path.join(self.data_dir, img_path), label, target_label)) |
Hi, Can you please provide the meta_file used to load the dataset?