sshaoshuai / PointRCNN

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
MIT License
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Regarding Custom Dataset #198

Open pytholic opened 2 years ago

pytholic commented 2 years ago

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!

Windson9 commented 1 year ago

Hi @pytholic. Were you able to train with your custom dataset ?

pytholic commented 1 year ago

@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.

OrangeSodahub commented 1 year ago

@Windson9 @pytholic I've implemented the training of the custom dataset, you could refer to this