RegTR
RegTR copied to clipboard
End-to-end Point Cloud Correspondences with Transformers
When I execute the following command: ```python train.py --config conf/modelnet.yaml``` I got a Bug: ``` ** On entry to cusparseSpMM_bufferSize() parameter number 1 (handle) had an illegal value: bad initialization...
ubuntu18.04 RTX3090 cuda11.1 MinkowskiEngine 0.5.4 The following error occurred when I tried to run your model。 (RegTR) ➜ src git:(main) ✗ python test.py --dev --resume ../trained_models/3dmatch/ckpt/model-best.pth --benchmark 3DMatch /home/lileixin/anaconda3/envs/RegTR/lib/python3.8/site-packages/MinkowskiEngine-0.5.4-py3.8-linux-x86_64.egg/MinkowskiEngine/__init__.py:36: UserWarning:...
Hi, Zi Jian: Thanks for sharing so nice work. Could you mind sharing the method to reproduce your results for Visualization of attention? Just as presented by **Fig5. and Fig6.**...
Hello, 1.I would like to know what are the functions of 3DMatch and 3DLoMatch in the src/datasets/3dmatch/benchmarks folder? Is it used for testing (in the test. py file)? 2.What are...
hello,The environment I use is Python 3.8.8 PyTorch 1.9.1 with torchvision 0.10.1 (Cuda 11.1) [PyTorch3D]0.6.0 [MinkowskiEngine] 0.5.4 A bug in the reproduction process is from MinkowskiEngineBackend._C import ( ImportError: /home/deep/anaconda3/envs/pytorch3d/lib/python3.8/site-packages/MinkowskiEngineBackend/_C.cpython-38-x86_64-linux-gnu.so:...
I am now using the pre-trained model to predict transformation. My data are 8000 and 7000 respectively, but when using the model for inference, but it shows that the memory...
The last release date of minkowski is in May 2021. The dependencies of it might not be easily met with new software and hardware. I found it impossible to make...
Hello, the dataset I am using is Modenet40. May I ask if there is a significant difference in the output parameters? Is it a configuration issue? The RRE is too...
Dear Yew & other friends: I have run code on (just like in readme): Python 3.8.8 PyTorch 1.9.1 with torchvision 0.10.1 (Cuda 11.1) PyTorch3D 0.6.0 MinkowskiEngine 0.5.4 RTX 3090 But...
Hello,Is this algorithm suitable for underwater point cloud map registration? If appropriate, how should the dataset be processed?Is the dataset unlabeled?(For unsupervised learning)