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Hi @Guanghan ,
Thanks for your great project.
Can you show to me your loss curve of your final model?
Below is my result when training GNet-pose with base_lr: 0.0001, batch_size: 4, after 3 days, trained 76 epochs.
It still cannot converge.
If you trained with other parameter in prototxt file, please tell me.
I'm waiting for your feedback.
The text was updated successfully, but these errors were encountered:
Hi @lelordoftech I was wondering what's your PCKh on train & val of MPII? I have tried 2-stage Hourglass (original Hourglass) with pretrained caffemodel weights provided by the author, and achieved only around 80%PCKh on val. I started with learning rate 2.5e-5 w/ RMSProp. The loss cannot converge when I started from 2.5e-4 w/ or w/o pretrained weights, which I found sort of weird. My batch size is 3 on a single GPU. Thanks!
Hi @Guanghan ,
![313](https://user-images.githubusercontent.com/11450887/40895781-50ab5818-67ec-11e8-9774-c902aff285d2.png)
Thanks for your great project.
Can you show to me your loss curve of your final model?
Below is my result when training GNet-pose with base_lr: 0.0001, batch_size: 4, after 3 days, trained 76 epochs.
It still cannot converge.
If you trained with other parameter in prototxt file, please tell me.
I'm waiting for your feedback.
The text was updated successfully, but these errors were encountered: