Comments (5)
LonelyPlanetIoT
commented on August 27, 2024
1
Thanks a lot
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davide-coccomini
commented on August 27, 2024
This part has been hugely inspired by Selim Seferbekov work: https://github.com/selimsef/dfdc_deepfake_challenge/blob/master/preprocessing/face_detector.py
We maintained the frame resize to be totally comparable, anyway, we think that it would not affect the result. Maybe you can try to remove it and see what happens.
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LonelyPlanetIoT
commented on August 27, 2024
I try to cancel the resize operator and a error come like the follow picture. Maybe if you don't resize the computer doesn't have enough resource to execute the code?
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davide-coccomini
commented on August 27, 2024
Can you provide the full stack trace?
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LonelyPlanetIoT
commented on August 27, 2024
Sorry for replying so late. In the end ,I didn't change it. But I have another question. I use MTCNN to extract face.The thresholds is set as same as yours. In this situation, I find some videos such as NT/808_829.mp4 can not extract enough faces as the paper mentioned. And I try to decrease the thresholds. But some frames are not face. What should I do?
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Related Issues (20)
- Test set labels HOT 2
- Multiprocesssing Error HOT 2
- In DFDC data set, there will be moving face images in some videos. How do you deal with it?
- In DFDC data set, there will be moving face images in some videos. How do you deal with it? HOT 1
- Grouping of faces corresponding to same person for inference HOT 5
- Details on training and testing HOT 6
- DFDC Pre-processing timeline HOT 1
- no faces detected when run the detect_faces.py HOT 2
- Combining EfficientNet and Vision Transformers HOT 1
- About Cuda HOT 1
- Validation set HOT 9
- test AUC HOT 3
- AttributeError: 'EfficientNet' object has no attribute 'delete_blocks' HOT 1
- Inquiry Regarding Dataset Architecture and Organization HOT 4
- Error Encountered in Pretrained Model Evaluation
- Custom test set
- test the model in ff++
- ff++dataset structure issue
- ff++dataset structure issue HOT 1
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