Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Detailed operations for dataset of officeHome #2

Open
23425Ning opened this issue May 6, 2024 · 1 comment
Open

Detailed operations for dataset of officeHome #2

23425Ning opened this issue May 6, 2024 · 1 comment

Comments

@23425Ning
Copy link

Hello! Thanks for ur excellent work! But i did not see any introductions experiments on dataset of officeHome on this github project which u did in ur paper. So I'd ask could u offer some more detailed operations on how to run ur code on this dataset? Thanks a lot

@Zhongying-Deng
Copy link
Owner

Many thanks for your interest in our work. The config files for OfficeHome have been updated, please find them via configs/datasets/da and configs/trainers/da/didanet. The backbone used for OfficeHome can be found under dassl/modeling/backbone (please see the latest updated files for the backbone). For training, please follow the following bash script

CUDA_VISIBLE_DEVICES=0 python tools/train.py --root ${YOUR_DATA_PATH} --trainer FixMatch \
	--source-domains art --target-domains clipart \
	--dataset-config-file configs/datasets/da/office_home.yaml --config-file configs/trainers/da/didanet/office_home_dida_single_src.yaml \
	--output-dir output/didanet_office_home/art2clipart \
	MODEL.BACKBONE.NAME resnet50_dida_mixstyle TRAIN.CHECKPOINT_FREQ 10

I am sorry that I have not debugged these new files, so please feel free to let me know if there are any issues with the experiments on OfficeHome.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants