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Thanks for this great work. I was trying to reproduce the reported result with the pretrained model provided in the infer directory. I used Docker so I suppose there is no inconsistency in the environment. I run the model on Fraxtil test set and saved the placed_times for each chart, then used the predicted times and ground truth times to compute F1-c. But I can only get ~0.587 out of that, which is far from the 0.681 reported in your paper, and even worse than LogReg baseline. Is this model actually trained on ITG dataset, or did I do something wrong?
By the way, the link to download ITG dataset is broken. Could you please point me the way to download the dataset?
Thanks!
The text was updated successfully, but these errors were encountered:
Hi Chris,
Thanks for this great work. I was trying to reproduce the reported result with the pretrained model provided in the
infer
directory. I used Docker so I suppose there is no inconsistency in the environment. I run the model on Fraxtil test set and saved theplaced_times
for each chart, then used the predicted times and ground truth times to compute F1-c. But I can only get ~0.587 out of that, which is far from the 0.681 reported in your paper, and even worse than LogReg baseline. Is this model actually trained on ITG dataset, or did I do something wrong?By the way, the link to download ITG dataset is broken. Could you please point me the way to download the dataset?
Thanks!
The text was updated successfully, but these errors were encountered: