Comments (1)
metadata.json is provided in DFDC dataset
from dfdc_deepfake_challenge.
Related Issues (20)
- I encountered continuous target data is not supported with label binarization
- Timm library version problem HOT 2
- Could you explain what does the argument "fold" mean HOT 2
- could i download pretrained model about dfdc dataset? Now I get an error. HOT 1
- Unable to understand extraction of crops HOT 2
- metadata.json HOT 2
- Inference on CPU HOT 6
- ValueError: Found array with 0 sample(s) (shape=(0,)) while a minimum of 1 is required. HOT 1
- Issue with bitmap masks. HOT 1
- Resize the videos HOT 1
- Why RuntimeError: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED? HOT 2
- generate_folds.py Line 106 KeyError HOT 1
- top accuracy is 65.18% ? HOT 4
- submission.csv all predictions are below 0.5 HOT 7
- Google Colab HOT 3
- training dataset?
- CUDNN_STATUS_NOT_INITIALIZED
- Does this detect face filters?
- I find there is something wrong with " remove_landmark " code HOT 1
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from dfdc_deepfake_challenge.