Thanks for Amazing code . When reproduce your mIOU encounter some problem:
1-when Achieving 71 mIOU, do you train from imageNet pretrain model?
1- Can not loading pretrain model from "models/model_store.py" because of broken link. so I use pytorch offical model instead. but some parameter can not be load due to "deep_stem" flag in ResNet model. So I set deep_stem=False. Will this hurt performance?
I use pytorch1.4 with cuda10. Currently achieve mIOU 66.1 with ResNet50 backbone
Thanks for Amazing code . When reproduce your mIOU encounter some problem:
1-when Achieving 71 mIOU, do you train from imageNet pretrain model?
1- Can not loading pretrain model from "models/model_store.py" because of broken link. so I use pytorch offical model instead. but some parameter can not be load due to "deep_stem" flag in ResNet model. So I set deep_stem=False. Will this hurt performance?
I use pytorch1.4 with cuda10. Currently achieve mIOU 66.1 with ResNet50 backbone