Comments (7)
Hi @takfate, thanks for your interest! Your requested materials will be available in the next few days. Stay tuned!
from transvae.
Thanks, looking forward to it~
from transvae.
Hello, I am very eager to get your code. Could you release the launch scripts and features?
from transvae.
Hi @takfate, thanks for your interest!
We are still looking for a suitable source to store the I3D features, which require more than 34GB. Will the feature generation scripts be useful for your case? We can share them with you first and you can generate the features and store them locally.
from transvae.
I recommend using Zenodo for global support and Baidu Netdisk for Chinese support. In fact, I want to use your codebase on our own dataset. So I need your launch script to understand your codebase. It helps me adapt it to our work. The I3D feature is not very required for me. But if it can be accessed, it could speed up our progress.
from transvae.
Hi @takfate, thanks for waiting!
We managed to store the I3D features on Google Drive, please download them based on your need:
Dataset | Google Drive | Size |
---|---|---|
UCF101 | download | 3 GB |
HMDB51 | download | 1 GB |
Epic-Kitchens | download | 11 GB |
Sprites | download | 42 MB |
The launch scripts will be available by tomorrow.
from transvae.
Hi @takfate, the launch scripts are ready. Please refer to GET_STARTED.md for more details.
from transvae.
Related Issues (13)
- Question regarding the hyperparameters for TranSVAE HOT 5
- Regarding dataset preparation steps HOT 5
- Inquire about some questions about the paper "Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective" HOT 1
- Problem with video2I3D.py file? HOT 1
- train_TransferVAE_hmdb_ucf.py ? HOT 1
- ModuleNotFoundError: No module named 'TransferVAE'
- AttributeError: module 'TransferVAE' has no attribute 'TransferVAE_Video'
- train_hmdb_ucf.py: error: unrecognized arguments: HOT 1
- Problem with the provided notebook code HOT 1
- hmdb51 -> ucf101 related issue! RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn
- resnet101 backbone issue
- About split and list generation!
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