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are the .h5 files relative to the original implementation of each model, i.e. trained with the original dataset and having the original weights of the models? Or did you retrain each of the models?
The text was updated successfully, but these errors were encountered:
The h5 files are the original implementations of the models in those cases distributed by their respective repositories. The only difference the the hyperparameter for the GPD is set so that it is a bit higher due to the default creating many false positive picks.
The h5 files are the original implementations of the models in those cases distributed by their respective repositories. The only difference the the hyperparameter for the GPD is set so that it is a bit higher due to the default creating many false positive picks.
Hello,
are the .h5 files relative to the original implementation of each model, i.e. trained with the original dataset and having the original weights of the models? Or did you retrain each of the models?
The text was updated successfully, but these errors were encountered: