augmented dataset about face-mesh-generator

[yinguobing]

Hi @soans1994

1. I think you can use branch features/tfrecord-marks-68 which use the original marks.
2. The only augmentation in this branch is random minor scaling of face areas. However this won't generate new samples. You will have the same number of samples as the original dataset.
3. You can split the samples however you want to. The whole process is wrapped in a for loop. It shouldn't be hard.

[yinguobing]

Usually the augmentation is done online (during training). Here is an example:
https://github.com/yinguobing/facial-landmark-detection-hrnet/blob/18fc4e504b41cc322a9ff7dc483dc6dfbb97aefc/dataset.py#L39

[soans1994]

@yinguobing thank you for the original 68 keypoints code. i want to generate augmented images and landmarks. can you please help

[soans1994]

thank you so much, i will check it out