Comments (1)
Hey @WajidaAnwar ,
--traindb ff-c23-720-140-140
--valdb ff-c23-720-140-140
I am facing difficulties in understanding the significance of these in train_all.sh
these all the splits used for the FaceForensics++ dataset.
If I want to train the celebdf dataset what should I replace these with?
We do not provide full support for training the models on CelebDF, as this repository is meant for reproducing the results of the paper we presented at ICPR2020, and we didn't use CelebDF in our experiments.
If you want to train on CelebDF, refer to these issues #38 #48 where we provided other information on how to proceed.
Bests,
Edoardo
from icpr2020dfdc.
Related Issues (20)
- ERROR conda.core.link:_execute(507): An error occurred while installing package 'conda-forge::async_generator-1.10-py_0' HOT 4
- training using the train_triplet file HOT 11
- Facing error while running train_all.sh HOT 2
- Can't find the file data_frame_df.pkl HOT 3
- network doesn't generalize well HOT 3
- Query HOT 4
- Unable to find "List_of_testing_videos.txt" HOT 1
- Source code of Ensemble models HOT 18
- index_dfdc errror HOT 2
- DFDC split HOT 1
- Question about the returned RuntimeError when using the Celeb-DF dataset HOT 7
- what is embedding_routine function used for? HOT 1
- how to set validation split for dfdc? HOT 4
- use pre-trained model to detect my videos, but filter out some specific datasets on the pre-train which may overlap HOT 2
- regarding attention heatmap HOT 1
- Training dataset for DFDC HOT 1
- models pretrained on DFDC works well, but why models pertrained on FFPP always give a low score? HOT 1
- EnvironmentNameNotFound: Could not find conda environment: icpr2020 HOT 3
- About Image prediction notebook on Colab HOT 3
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from icpr2020dfdc.