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Dear Author,
First of all, I would like to express my deep appreciation for your outstanding contribution through the Dental Surfaces Segmentation project. The model's ability to handle complex tooth shape modeling and point cloud reconstruction is particularly remarkable, and your approach sets a new standard in the field.
As I begin working with Teeth3Ds, I have encountered some uncertainties regarding the data preprocessing steps, and I would greatly appreciate it if you could clarify a few points for me. Specifically, I would like to know the following:
Input Data Format: the original data format of Teeth3Ds is obj and json, but I noticed that ply format was used in your project. How could I transfer it to ply format.
Preprocessing Steps: Are there any specific preprocessing steps that need to be applied to the data before training? For example, does the data require random rotate, random rescale, or any other techniques? If so, would it be possible to share the relevant code or documentation for these steps?
I truly admire your work, and I would greatly appreciate any insights you could share to help me better understand the data pre-process.
Thank you again for your tremendous contributions to the field, and I look forward to your response.
Best regards,
Mingqian Li
The text was updated successfully, but these errors were encountered:
Dear Author,
First of all, I would like to express my deep appreciation for your outstanding contribution through the Dental Surfaces Segmentation project. The model's ability to handle complex tooth shape modeling and point cloud reconstruction is particularly remarkable, and your approach sets a new standard in the field.
As I begin working with Teeth3Ds, I have encountered some uncertainties regarding the data preprocessing steps, and I would greatly appreciate it if you could clarify a few points for me. Specifically, I would like to know the following:
I truly admire your work, and I would greatly appreciate any insights you could share to help me better understand the data pre-process.
Thank you again for your tremendous contributions to the field, and I look forward to your response.
Best regards,
Mingqian Li
The text was updated successfully, but these errors were encountered: