GCNet
GCNet copied to clipboard
Leveraging Inlier Correspondences Proportion for Point Cloud Registration. https://arxiv.org/abs/2201.12094.
I tried retraining 3dmatch database, and get following log for val after about 20 hours, seems loss and recall not improved significantly, is this right?  Thanks
I want to add my own dataset based on the 3DMatch dataset. How do I create it? In 3DMatch data file, the training set and the test set are both...
Hi, Thanks for sharing the codebase for your work. I am trying to train the network on custom data, but I got the following error: /pytorch/aten/src/ATen/native/cuda/Loss.cu:102: operator(): block: [1,0,0], thread:...
dear sir when I trainning the model ,i meet the error. as follows. @zhulf0804 @qsisi  can you know how to solve it? Thanks
result=o3d.pipelines.registration.registration_ransac_based_on_feature_matching( TypeError: registration_ransac_based_on_feature_matching(): incompatible function arguments. The following argument types are supported:
I retrained the 3D match dataset and it takes about 3 hours per epoch on RTX 4090. Is it normal for me to need about 5 days to complete the...
Why is my training speed on the 4090 not as fast as that on the 3090?