Download pytorch-image-models/timm/data/readers/reader.py from datacomp/ImageNetTraining0.0-1over32: direct link, hf CLI and curl.
- Browser
- Download file 487 Bytes
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https://huggingface.co/datasets/datacomp/ImageNetTraining0.0-1over32/resolve/main/pytorch-image-models/timm/data/readers/reader.py
- Command line
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hf download hf://datasets/datacomp/ImageNetTraining0.0-1over32/pytorch-image-models/timm/data/readers/reader.py
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curl -L -o reader.py https://huggingface.co/datasets/datacomp/ImageNetTraining0.0-1over32/resolve/main/pytorch-image-models/timm/data/readers/reader.py
487 Bytes
| from abc import abstractmethod | |
| class Reader: | |
| def __init__(self): | |
| pass | |
| def _filename(self, index, basename=False, absolute=False): | |
| pass | |
| def filename(self, index, basename=False, absolute=False): | |
| return self._filename(index, basename=basename, absolute=absolute) | |
| def filenames(self, basename=False, absolute=False): | |
| return [self._filename(index, basename=basename, absolute=absolute) for index in range(len(self))] | |