Hello, thank you for sharing this excellent work.
While reviewing the project, I noticed that the repository does not include detailed instructions or code snippets related to dataset processing, such as how the training/validation/test data should be organized, preprocessed, or generated before running the provided scripts.
Could you clarify the following:
Expected dataset structure (folder layout, file naming rules, etc.)
Required preprocessing steps, if any (e.g., normalization, resizing, patch extraction).
Whether there is a dataset preparation script that is not included in the repository, or if users are expected to prepare the data manually.
Providing a brief example or adding a dataset preparation section to the README would greatly help users reproduce the results more accurately.
Thank you for your time and for making this project available!
Hello, thank you for sharing this excellent work.
While reviewing the project, I noticed that the repository does not include detailed instructions or code snippets related to dataset processing, such as how the training/validation/test data should be organized, preprocessed, or generated before running the provided scripts.
Could you clarify the following:
Expected dataset structure (folder layout, file naming rules, etc.)
Required preprocessing steps, if any (e.g., normalization, resizing, patch extraction).
Whether there is a dataset preparation script that is not included in the repository, or if users are expected to prepare the data manually.
Providing a brief example or adding a dataset preparation section to the README would greatly help users reproduce the results more accurately.
Thank you for your time and for making this project available!