Comments (5)
@lfxx please use the Mozilla Firefox browser. Google Chrome has some issues (maybe security risks).
from deepglobalregistration.
I followed your "Section 5.2. Multiway Registration" details and I implemented DGR as the pairwise registration module in Open3D multiway registration example. When I tested on the Indoor LIDAR dataset (e.g. bedroom) it is taking forever for pairwise registration due to 220 fragments. Also, for many examples in the dataset, when I use the first few (6 nos.) fragments, the registration is bad.
How long did it take for your implementation?
Could you please share the multiway registration module that you used for your paper?
hi,did you download the pretrained models?the urls seem broken.Hope you can send these pretrained models to me.
from deepglobalregistration.
@lfxx please use Mozilla Firefox browser. Google Chrome has some issue (may be security risks). If you still cannot download it, please use this link. It expires in 24 hours. Please download it soon.
Download them sucessfully,Thank you!
from deepglobalregistration.
Hi @preethamam can you please share your modified multiway registration script?
Thank you!
from deepglobalregistration.
@preethamam @pranavgundewar Hey, I am working with the 3D match dataset in DGR. But I don't understand the text file format they use for the input. eg:
7-scenes-chess@seq-01_000.npz 7-scenes-chess@seq-01_001.npz 0.886878
I can see the first two variables are the names of the clouds. I don't understand the context of 0.886878 here. I doubt if its intensity. Can you please let me know if you can? Thank you in advance.
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Related Issues (20)
- KeyError: 'feat_model' HOT 4
- Data augmentation on KITTI
- Requirements for install HOT 1
- KITTI Dataset - minimum distance issue HOT 2
- The ground truth relative pose of frames in 3DMatch dataset
- Pretrained model url is broken HOT 1
- Please create Dockerfile
- Visualization Issue
- Registration for dynamic obstacles
- type object 'MinkowskiEngineBackend._C.RegionType' has no attribute 'HYPERCUBE'
- RuntimeError: CUBLAS_STATUS_EXECUTION_FAILED at /tmp/pip-install-z25sch0o/minkowskiengine_101b60a34a8c4b73a1c33ae9cb85e161/src/math_functions_gpu.cu:46
- Infinity Error HOT 4
- Issure in kitti dataloader HOT 1
- Training My Dataset
- AttributeError: 'SparseTensor' object has no attribute 'coords_key' HOT 1
- 3DMatch testing error HOT 1
- Version update
- 版本问题 HOT 1
- How to use the pre-trained model to register your own two sets of point clouds
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