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Data Preparation

Supported datasets

The imagenet.py provides a basic dataset which loads images from a given .txt file. This file usually contains the directory path of images like

n01440764/n01440764_10026.JPEG
n01440764/n01440764_10027.JPEG
n01440764/n01440764_10029.JPEG
n01440764/n01440764_10040.JPEG
n01440764/n01440764_10042.JPEG
n01440764/n01440764_10043.JPEG
n01440764/n01440764_10048.JPEG

Such that, by modifing data_root and ann_file in config file, we could launch the pretraining on any other custom dataset.