Can I train without the upcoming Ego4D-NLQ data, including files, features, and pretrained weights?
krkrkrrk opened this issue · 0 comments
krkrkrrk commented
Hi
I am suffering from the following error. I have looked into the cause and thought that I might need the upcoming data.
Please let me know if it is possible to train without the upcoming data
Traceback (most recent call last): File "train_ft.py", line 240, in <module> main(args) File "train_ft.py", line 66, in main train_dataset = make_dataset( File "/home/GroundNLQ/GroundNLQ/libs/datasets/datasets.py", line 19, in make_dataset dataset = datasets[name](is_training, split, val_jsonl_file, **kwargs) File "/home/GroundNLQ/GroundNLQ/libs/datasets/ego4d_loader.py", line 36, in __init__ assert os.path.exists(video_feat_dir) AssertionError