learning rate adjustment

[nitba]

Hi @bearpaw the plot from log file shows that network is trained for 220 epoch and we have adjustment on 150th epoch, but in code , I did not find any adjustment , would you please share adjustment for learning rate to get your results?

[bearpaw]

You can use arguments to set the epoch, lr, and lr decay strategy

• for training epoch, see https://github.com/bearpaw/pytorch-pose/blob/master/example/main.py#L383
• for lr decay, see: https://github.com/bearpaw/pytorch-pose/blob/master/example/main.py#L397