Comments (4)
Hello, thank you for your interest in our work.
It is quite simple, it must have the following form:
Faces/file_name0.jpg 0
Faces/file_name1.jpg 1
Faces/file_name2.jpg 1
Faces/file_name3.jpg 0
...
And a different folder with the pre-calculated Optical Flow
Faces_Flow/file_name0.jpg 0
Faces_Flow/file_name1.jpg 1
Faces_Flow/file_name2.jpg 1
Faces_Flow/file_name3.jpg 0
...
Please take a look at data_loader script and change variables accordingly.
from aunets.
Thank you for answer! Now it's more clear to me.
But I've got one more qustion so in fact you're not using 2D and 3D Features from BP4D dataset?
I just need to convert AUCoding to your above format and it should work. Is that correct?
from aunets.
Yes to both of them, you are right.
from aunets.
Thank you again!
from aunets.
Related Issues (20)
- Questions about the preprocessing HOT 1
- KeyError:: HOT 2
- RealTime using computer-vision HOT 1
- Sharing Pre-Trained Model wo OF
- Weights demo error HOT 1
- Weights link expired HOT 1
- Error while running DEMO HOT 5
- Bad Interpreter: No such file or directory HOT 1
- main.py: error: unrecognized arguments HOT 6
- Regarding Optical Flow HOT 1
- Data formatting issues HOT 1
- GPU memory error HOT 1
- Demo wrong result
- BroxDir missing HOT 3
- API
- issue with dropout for the inference HOT 1
- 咨询下BP4D数据集怎么获取
- main.py run: error: argument {DeepFaceLive}: invalid choice: 'deepfacelive' (choose from 'DeepFaceLive')
- main.py run: error: argument {DeepFaceLive}: invalid choice: 'deepfacelive' (choose from 'DeepFaceLive')
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from aunets.