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I want to do the following:
1. Use my Images + Poses + Camera Intrinsics as an Input.
2. Refine my Poses (only my Poses not the intrinsics) through Bunde Adjustment and create a dense PointCloud
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Hello,
i couldn't find documentation so far. My problem is that i have a dataset that can be converted to a pointcloud. I do the conversion as follows:
```scala
def toPointCloud(sweeps: Seq[T…
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Hi, really thank you for sharing your code! I am also interested in the code that you used to generate the sparse point clouds on ScanNet. Could you please also share them? Thanks!
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How can I access the poses and map points information so that I can save them in a file?
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I have a noisy pointcloud data and i want to to clean this pointcloud for surface Reconstruction......
What are the methods available in vedo to clean or outlier removal of pointcloud.
If possible…
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@clferrari Hello Thank you for sharing the code.
I tried to run your code but sometimes got errors.
```Tnew = np.array(tri["Tnew"])
File "h5py\_objects.pyx", line 54, in h5py._objects.with_ph…
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Hi! This code looks great, thanks for making it available!
If i have a RGBD camera with pose info (tx,ty,tz, qx,qy,qz,qw) and corresponding RGB / RGBD frames, could I run them through and get a glo…
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Great code! But when I generate mesh, I get the following error. I found that when the mesh has holes, a memory explosion occurs or an error is reported as follows. But I'm not sure if this error is c…
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Hello,
Just wonder if it is possible that vedo can round or smooth the boundary edges like this and how.
Thank you!
![image](https://github.com/marcomusy/vedo/assets/59957922/afc898a3-df1d-4…
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Could you provide your DataSet when you training model used and the test.ply?
Thanks!