Comments (2)
Thanks for your interest in GradSLAM!
Yes, you can definitely run gradslam for whole scene reconstructions.
This previous query is very related to yours: #12
I would actually point you to this demo code of gradslam PointFusion
on TUM/rgbd_dataset_freiburg1_xyz
:
https://colab.research.google.com/drive/1uxjEJI5B2yJJDG3SxoAagH9uEuT67rXC?usp=sharing
If you are interested in whole scene reconstructions, you can have a look at our gradslam documentation and the slam.step()
function and tutorials would be of high interest. Ideally, you would want to set up the gradslam tum dataloader
and run gradslam on batches to obtain whole scene reconstructions.
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Related Issues (20)
- Realsense live HOT 1
- Chamferdist installation error HOT 2
- Questions about gradLM HOT 4
- Question about step by step method! HOT 2
- Example of Training end-to-end for a simple task that includes mapping
- How are loop closures supported in GradSLAM? HOT 3
- TUM/ICL Poses HOT 2
- Question about using ScanNet HOT 1
- To save the pointcloud once generated. HOT 1
- Is the Poses Data Actually Used in the SLAM Process?
- How is RGB used here? HOT 1
- Usage of multiple RGBD sensors as input HOT 3
- How do gradslam learn anything using the differentiable modules? HOT 1
- Reproducing `Analysis of Gradinets` Results HOT 1
- how the jacobian is derived? HOT 1
- No matching distribution found for open3d==0.10.0.0 HOT 4
- not compiled with GPU support error in chamfer.py when using gradicp HOT 2
- How can I run these codes?
- how to use it in customer dataset
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