TRACE ICDAR paper inference results

[mok33]

Hello,
To my understanding, this repo contains the official implementation of "TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text". Can you provide a zip of the recovered inks for IAM?
If you can also provide the trained model that reproduces the results. It can be of great use for me, as I want to compare your approach with other SoTA methods.

[Tahlor]

Unfortunately, I don't have the results anymore, but you should be able to use the model from the example_weights folder. The stroke_recovery_offline.py should produce the results for you, otherwise, I might be able to look at it in a few weeks. Best of luck!

[Alma-hanif]

Hello, It's good to see your response here, Can you please also tell me which Config file did you use for the "TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text" as there are so many different versions of config files in the config folder and I am not sure which one is for the TRACE approach.

[Tahlor]

The config in the example_weights folder should work with those weights. Excited to see your new work!