About rotation of the data augmentation

[taokong]

Hi, @bearpaw , very clear code!

In /pose/datasets/mpii.py line 95
r = torch.randn(1).mul_(rf).clamp(-2*rf, 2*rf)[0] if random.random() <= 0.6 else 0
The rotation angles are between [-60, 60]. It is not consistent with the Hourglass work and your paper(Multi-Context Attention for Human Pose Estimation) [-30, 30]. I also see similar codes at pose-attention .

Does larger angle variation help training of pose detection?

[bearpaw]

Sorry that I don't quite remember the reason for this setting. Maybe it's a mistake or maybe it is following a history version of pose-hg-train.

I believe the performances of different settings should be very similar. You can have a try.

[taokong]

Thanks