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@@ -127,7 +127,10 @@ then move them under `preprocessed_data_dir/`
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Since file `train.objects.mmap` is too large(100G+),
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we splitted it to many small pieces like `train.objects.mmap.split*`,
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and you need another step to merge all those files together: `cat train.objects.mmap.split* >train.objects.mmap`
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and you need another step to merge all those files together: `cat train.objects.mmap.split* >train.objects.mmap`
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##### Checkout
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Each of files has a hash value by command `md5sum fileName`. You can get it from [here](https://drive.google.com/file/d/1COXpOvw6pCjTXppb86JmSDj7iGx6BOnO/view?usp=sharing) and we suggest you check each file's hash value before training.
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##### (Optional) Extract features on your own
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If you want to extract some feature on your own, or you'd like to know details of extracting visual features,
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