-
**Describe the bug**
When trying dense reconstruction, press "fusion" leads to a empty file "fused.ply" with 0 point clouds inside, then press "poisson" leads to app crash!
**To Reproduce**
Steps…
-
Hello, first of all congratulations on your excellent work, I used doppelgangers for sparse reconstruction of 35 photos and then used colmap for dense reconstruction, but the number of images that cou…
-
Hi everyone.
So I've tried to run the code with variational autoencoder, but there is an error like in title:
`ValueError: A KerasTensor cannot be used as input to a TensorFlow function.`
The…
-
When I use the reconstruction.py to sparse reconstruction.I get the error, Linear solver failure. Failed to compute a step: Eigen failure. Unable to perform dense Cholesky factorization.But when I can…
-
hey im using colmap dense reconstruction (patchmatch) and want to improve performance without degrading quality. is there a way to give masks to patchmatch to save processing time? so it does not wast…
maorp updated
2 months ago
-
Hi, thanks for your work. I have a question while running mapping api.
I read that the mesh is generated on dense reconstruction. Is there a condition to get the mesh data in real time? Does it onl…
-
Hi,
In most of videos, we can see dense point cloud reconstruction with orb slam 2. It's amazing! but I don't know how to process.
For example in the end of the video:
https://www.youtube.com/…
-
Hi, I want to export the dense point cloud or high-quality mesh.
I tried to export mesh, but the accuracy is very poor.
Point cloud I started directly from the output point cloud, and then `SH…
-
**Is your feature request related to a problem? Please describe.**
Dense reconstruction requires CUDA which is not available to machines with non-NVIDIA GPUs and Macs. As a Mac user, this means there…
-
**Describe the bug**
The output model, generated with most of the default params has poor resolution quality. How can one improve this?
**Screenshots**
The texture in the orignal image and the re…