Comments (3)
Thank you for your interest in my research.
Im sorry but I dont have the codes you want now..
But these models are not much different from the codes in main branch except flip augmentation, scheduler setting and loss for contrastive boundary learning..
Thank you
from toothgroupnetwork.
I see, but can you tell what type of models are these?
in the main branch I see 3 type of models training: tgnet, tsegnet and pointnet
from toothgroupnetwork.
I used my model(tgnet)!
from toothgroupnetwork.
Related Issues (20)
- How to align axis before inference? HOT 1
- start_inference.py error : ZeroDivisionError: division by zero HOT 1
- how long should I wait for the first train step (the Farthest Point Sampling model) to be done ? HOT 7
- when I was training tsegnet (run_tooth_segmentation_module to True & pretrained_centroid_model_path) I got the following error HOT 1
- bad result when inputting mirrored data HOT 5
- Training on other data HOT 1
- Train tgnet_fps and find the error HOT 4
- The A10 graphics card exhibits abnormal partitioning HOT 1
- Visualization code HOT 2
- Sweep : Create an understanding and flow diagram for this codebsae
- How to rotate data into the shape shown in the figure
- Sweep: Tell me abou the summary of the codebase
- The memory of the tgnet model
- data axes
- How to convert model weights(.h5 file) to onnx?
- ValueError: Found array with 0 sample(s) (shape=(0, 3)) while a minimum of 1 is required by DBSCAN HOT 3
- error to run y to run inference_mid.py
- about inference result HOT 1
- 将bath_size设置为大于1时会报错
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from toothgroupnetwork.