Comments (3)
Hey @lmwijesundara ,
thanks for passing by!
One question: have you extracted the faces from all the 50 folders of DFDC?
We use for training the faces from the first 35 folders, for validation from the folders from 35 to 40, and from the last 10 for testing.
If you didn't extract faces from the folders from 35 to 40, the scripts likely didn't found any validation samples and therefore stopped.
Let us know!
Bests,
Edoardo
from icpr2020dfdc.
I used DFDC sample dataset provided by the Kaggle site.
from icpr2020dfdc.
You need to use the full dataset to replicate our results, since we base our split on the folders of the full dataset. The sample dataset is not enough.
from icpr2020dfdc.
Related Issues (20)
- What is the Training set of those pre-trianed models that provided by your dropbox link HOT 1
- Analyze results HOT 5
- 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
- Celebdf dataset HOT 1
- 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
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from icpr2020dfdc.