You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
@ranjiewwen Hi, I'm sorry for the very dirty and disorganized code I uploaded here. Just was too tired to organize it well when finished. I've added both tid2013_1000.pickle generation script and file itself. It uses mos_with_names.txt and mos_std.txt which are present in original tid dataset. train_test_split_cs.pickle was used to continue training and was generated by training script. After that, I was commenting/uncommenting parts used for loading labels and saved checkpoints and continued training. The name tid2013_1000 suggests that I tried to do histogram prediction for that strange variances in TID dataset, but that did not yield better results than just regression.
Please excuse me again for these awful scripts, may be I will organize them one day. If you have any questions/problems with training, please ask me here. I will try to remember and fix that.
@hcl14 thanks for your reply ! i will try your code again.
by the way. recently i am also reimplement nima there, i use tensorflow native api and use vgg model on tid2013. but when i train can get relative high srocc on one batch data . but when evaluate on 20% datasets tid2013 get very low result srocc. i don't know why ,maybe make some mistakes or overfit . but i have check many times , if you are interesting , can you give me some advices ? thanks again!
tid2013_1000.pickle
andtrain_test_split_cs.pickle
?The text was updated successfully, but these errors were encountered: