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HarshayuGirase / Human-Path-Prediction

State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.
MIT License
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YNet: Data augmentation for training on ETH/UCY Dataset #42

Open jun-long-li opened 2 years ago

jun-long-li commented 2 years ago

Hi, I've read #29 and #35, but I'm still confused about the data augmentation for ETH/UCY dataset. The original code uses the function augment_data(train_data, image_path, image_file, seg_mask), but when I try to use augment_eth_ucy_social(train_batches, train_scenes, train_masks, train_images), I can't find the corresponding variables, like train_masks. I wonder when and how you call the function augment_eth_ucy_social() or you just use augment_data() (the same as other datasets).

Thanks!

ArcaneEmergence commented 2 years ago

For the reported results, we only used augment_data. We did not use augment_eth_ucy_social, it was an experimental version that didn't do what we expected.