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Error for --exp=syndigits_svhn and --exp=synsigns_gtsrb #3
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Woops.... You will need to create a file called 'domain_datasets.cfg'. In it put:
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Thank you for your response!! I looked into the code and believe that prepare_gtsrb.py and prepare_synsigns.py should be run to prepare as well (and I tried running them). By the way, is there prepare_syndigits.py to prep for syn_digits dataset? I created domain_datasets.cfg file with the following content.
Then I ran python prepare_synsigns.py. I got an error saying:
For prepare_gtsrb.py, I got
As of now, when I run the two experiments mentioned previously I got the following errors. (data not found)
Could you help update the README.md to help with instructions on how to get these datasets prepared? Thank you so much!! |
I've updated the README to include the relevant info. I have also added a description of the directory layout that the software will expect. I hope this helps. Please let me know if not. Oh, please delete |
Thank you so much -- I will follow your instructions! |
Thank you very much for the instructions. They're very helpful! I was wondering it would be possible to get the actual dataset on synsigns from you as well since there's no public link. Please let me know! :) |
Congratulations for your ICLR2018 acceptance! I also would really appreciate it if you could share the synsigns dataset with me. |
I have now added a download link to the README file. |
I got the following errors for the two experiments above.
".../domain_datasets.py", line 24, in get_config
raise ValueError('Could not find configuration file domain_datasets.cfg')
These are the two lines from batch_search_exp.sh that I tried running.
python experiment_domainadapt_meanteacher.py --exp=syndigits_svhn --log_file=results_exp_ctaa/log_syndigits_svhn_ctaa_run${2}.txt --standardise_samples --batch_size=128 --cls_balance=0.0 --num_epochs=300
python experiment_domainadapt_meanteacher.py --exp=synsigns_gtsrb --log_file=results_exp_ctaa/log_synsigns_gtsrb_ctaa_run${2}.txt --standardise_samples --batch_size=128 --cls_balance=0.0 --num_epochs=300
Could you help check why this might be the case?
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