The the processed lmks will served as the labels in training steps.
So I want to know what is the mathematical meaning of some of the transformations done on the landmarks in this step of data augmentation. What format will the initial lmks be converted into for training?
I am new in this field and not familiar with some operations. Hope to get your help, thanks!!
Hi @ZhenglinZhou :
Here is a question of the data augmentation.
In the AlignmentDataset the raw landmarks of a picture will be loaded and sent to do the augmentation. https://github.com/ZhenglinZhou/STAR/blob/2196c576bab0e88b8726e595437332f439cdfc1e/lib/dataset/alignmentDataset.py#L293
In the augmentation steps, the lmk will be transposed to aug_lmk https://github.com/ZhenglinZhou/STAR/blob/2196c576bab0e88b8726e595437332f439cdfc1e/lib/dataset/augmentation.py#L56
Then the augmented lmk will be sent to _norm_points. https://github.com/ZhenglinZhou/STAR/blob/2196c576bab0e88b8726e595437332f439cdfc1e/lib/dataset/alignmentDataset.py#L296
The the processed lmks will served as the labels in training steps.
So I want to know what is the mathematical meaning of some of the transformations done on the landmarks in this step of data augmentation. What format will the initial lmks be converted into for training?
I am new in this field and not familiar with some operations. Hope to get your help, thanks!!