Open Fei-Long121 opened 2 years ago
Hi,
Thanks for your interest and sorry for this late reply. There have been quite a few changes lately in the code, since I incoporated many more pre-trained models from timm and gradually started removing spread scripts in order to put all needed recipes in a single Makefile. As a consequence, the doc wasn't up-to-date anymore, and commands may have produced errors. I have updated the ReadMe to reflect those changes. All commands are now recipes of a single Makefile. If you want to use pre-trained models, e.g. some resnet, check the exact names at src/models/resnet.py and all keys of default_cfgs are valid architecture names. Could you please:
make benchmark
and let me know if you still face such issue. If not, you should be able to reproduce the numbers in the README.mdOk, thanks for your excellent effort! I'll try it as soon as possible.
Hi, Thank you for your outstanding work!I met the following problems when trying to use your code:When I've processed all the data,I just used the command :bash scripts/train.sh protonet resnet18 ilsvrc_2012, but got the error:“use_hierarchy" is incompatible with "num_ways". So I tried to set the num_ways to -1 to avoid this error, but strange things still happend: RuntimError:stack expects each tensor to be equal size, but got [50, 3, 84, 84] at entry 0 and [30, 3, 84, 84] at entry 1.This is the first question which puzzled me.What's more, How do I get a pre-trained model on ImageNet by training from scratch?There does not seem to be an option to obtain a pre-trained model in the method options.I am looking forward to your reply. Thank you!