ToothGroupNetwork
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limhoyeon
3D Dental surface segmentation with Tooth Group Network
I identified a potential issue in the labeling system where taking the modulo operation (%17) with each array element resulted in a lack of distinction between gingiva and Lower Left...
I'm running inference_mid.py from the challenge branch on an obj file without a ground truth json file. Here's the error I get while running it. Any advice on how to...
torch2.3.1 cuda11 A4000 or A30 or A100 error× RuntimeError: CUDA error: no kernel image is available for execution on the device CUDA kernel errors might be asynchronously reported at some...
Hi, I am trying to run inference on a different dataset, wherein I only have the mesh obj data and no ground truth labels. How do I run inference in...
When I tested the pretrained model on my own data, I encountered some prediction errors:  Why does this situation occur and what parameters need to be adjusted?
作者您好，感谢您的开源贡献，有一个问题需要请教一下，我的显卡为3090,24G显存，我在训练tgnet_bdl时将batch_size设置为1时训练一个epoch需要40分钟，对gpu的利用很小，我想充分利用gpu的作用，但是当我增大batch_size为2或者4时就会报错： 
Hello ,I have some questions about your code. first ,the range of labels is 1-16, but in the grouping_network_module, the range of half_seg_label is -1,0-15, how to change the label?...
Hello! When I run the inference on the 3D Teeth Challenge (files with no missing teeth) without the ground truth labels, I get a good IoU score (and other metrics)...
Hi， I get a result json using command 'python inference_final.py`, but I won't show the results
