MolScribe
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Bad Result when trying to train model with input is images
This publication is so amazing. I get a very good result when use generating image while training progress (generate_indigo_image) as in your source code but it takes much time when train with large dataset.
So I separated the generating image progress out of training progress. I used with same setup to gen an image dataset then I pass this dataset to train model. But the result is very very bad. The prediction string is so long and look stupid, and the evaluation metrics are too.
I tried to visualize the image and corresponding label, nothing is wrong.
So I raise this issue hope that can hear from you some ideas or solutions to solve this problem! Thanks for spending time to read my issue!