Comments (4)
Hello author, thank you very much for your work.
When I run
train_with_img.py
, I see thatpreprocessed_ffs
in the dataset needsimages
andtrain_list.txt
. I don't know how to process FFS to get these data. In addition, I useoriginal
in FFS instead ofvideos
, is this correct?Thank you!
Thanks for your interest. This is the content of train_list.txt
(video-name/frame.jpg):
Sorry, I'm not sure I understand what you mean by original
. Could you please provide more information?
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Thank you for your reply. I have downloaded the FFS dataset now. I would like to know if there is any preprocessing code available to generate the preprocessed_ffs/train_list.txt
and preprocessed_ffs/train/images/
in config. The FFS dataset I downloaded has three categories under train
: altered
, mask
and original
. I used original
as the preprocessed_ffs/train/videos/
in config.
from latte.
Sorry for the late reply. Now you can download FFS at here.
from latte.
Thank you very much!
from latte.
Related Issues (20)
- T2V training and evaluation HOT 7
- Results & ckpts of different sized Latte on UCF-101 HOT 3
- 训练模型后的效果评估 HOT 4
- FFS evaluation HOT 5
- Some problems with reimplementing the training process HOT 20
- the code of variant 4 HOT 1
- Question: evaluate the FVD HOT 6
- Error once speed up training HOT 2
- Any plan to implement Latte in HuggingFace's diffusers library? HOT 3
- 模型在ucf101上无法收敛 HOT 5
- Can Latte train for I2V tasks? HOT 2
- Batch Size Ablations HOT 1
- what the param <input_sq_size> stands for? HOT 2
- Can we use batch_size>1 in sample_t2x.py HOT 7
- Evaluate the `FVD` on FFS HOT 4
- How can I utilize the weights of pre-trained PixArt-α to initialize the parameters of the spatial Transformer block in the Latte T2V model? HOT 2
- FVD on UCF-101 HOT 15
- Is there tutorial on transfering t2i to t2v model? HOT 5
- inference memory with torch.set_grad_enabled(True) HOT 2
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