Dear Esteemed Researchers,
The first question is that when I extract frames from videos, there exists some faces in the frames can't be detected so that we can't record the landmarks. Sometimes the source frame can't be detected so that it won't exist in the train or test images, but it will be recorded into .json with its target image. The dataloader will return an error 'None'. So I used to try to delete all the keys in which the source frame is not extracted. But then the dataset will just remain almost a half data. How do you solve this problem? The second question is that how do you solve the fairness when trying to compare with other methods. I think the data in your method will be less than other methods.
raining-dev
commented
1 month ago
Dear Esteemed Researchers, The first question is that when I extract frames from videos, there exists some faces in the frames can't be detected so that we can't record the landmarks. Sometimes the source frame can't be detected so that it won't exist in the train or test images, but it will be recorded into .json with its target image. The dataloader will return an error 'None'. So I used to try to delete all the keys in which the source frame is not extracted. But then the dataset will just remain almost a half data. How do you solve this problem? The second question is that how do you solve the fairness when trying to compare with other methods. I think the data in your method will be less than other methods.