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Hi. I have been doing research regarding point cloud object detection. However, all the architectures currently support only benchmark datasets and there is no proper guidance on how to prepare our own datasets. For example, I have some point clouds of patients and I want to detect some regions for medical purposes. However, I cannot find any guidance here or in other models as well to work with custom datasets. Will appreciate any guidance on this. Thanks!
The text was updated successfully, but these errors were encountered:
@Windson9 Not really. I ended up using some segmentation methods. It was long time ago so I do not remember all the details.
Have a look at this repo, it might be useful.
Hi. I have been doing research regarding point cloud object detection. However, all the architectures currently support only benchmark datasets and there is no proper guidance on how to prepare our own datasets. For example, I have some point clouds of patients and I want to detect some regions for medical purposes. However, I cannot find any guidance here or in other models as well to work with custom datasets. Will appreciate any guidance on this. Thanks!
The text was updated successfully, but these errors were encountered: