Huge difference between Stage branch 1 accuracy and branch 2 accuracy

[dreamstorm25]

I am training a model based on your repository but it does pose estimation on 13 keypoints. The code has been modified to adapt to new configuration. During training I noticed that there is a huge difference between the L1_acc and L2_acc of any stage. While L2_acc has gone over 0.99 and is steadily increasing, L1_acc is unstable as it increases and decreases without any pattern. L1_acc is about the PAFs and L2_acc is for confidence maps. Could you help me figure out what the issues can occur while predicting PAFs ?

[Bardhitoo]

Having the same issue - did you solve it?

[dreamstorm25]

I have noticed that my results are fine(not always spot on but mostly good), so I am guessing accuracy doesn't play that much of a part in PAFs, it's the loss you should be looking at.

[kuanyshbakytuly]

I am training a model based on your repository but it does pose estimation on 13 keypoints. The code has been modified to adapt to new configuration. During training I noticed that there is a huge difference between the L1_acc and L2_acc of any stage. While L2_acc has gone over 0.99 and is steadily increasing, L1_acc is unstable as it increases and decreases without any pattern. L1_acc is about the PAFs and L2_acc is for confidence maps. Could you help me figure out what the issues can occur while predicting PAFs ?

Could you share the code for evaluating accuracy?