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Data preprocessing

Extracting image features

Edit config settings in config.py, then run python extract_resnet.py.

Tip: If you have multiple GPUs, you can parallelize the feature extraction by extracting train2014, val2014, and test2015 on separate GPUs. You’ll need to change the code in __main__ in extract_resnet.py.

Preparing the Visual Genome QA pairs

Clone the Visual Genome Python Driver repo into this directory. Download images, image meta data, and question answers from Visual Genome website. The image meta data json file and question answers json file should be in a directory named genome. Then use vg_preprocessing.py to convert the Visual Genome QA file(s) into the format we need.