Data Augmentation and End-to-end Training
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Hi,
I'm wondering if you have any results regarding performance without data augmentation and end-to-end training? If not, do you know how much augmentations helped in terms of overfitting and performance? Currently, I'm trying to run longer time-horizon experiments without augmentations, but it doesn't seem to perform much better than 2 second horizon experiments. Thank you!
Hi, unfortunately I don't; I just used the standard video augmentations. You should be able to remove those and train using this code though.
Thank you for your response!
Where can I find the standard video parameters you've used for data augmentations? I can't seem to find any experiment configs, besides some txt files in expts/ folder.
All the experiment configs are the in the expts/
folder. They override the defaults here.