Jeffrey Wardman
Jeffrey Wardman
Hello, is there a way to select the components of the toolbox in the Viewer UI? For instance, it is not necessarily important for my use case that it contains...
### Feature request Whisper processor does not currently rescale to the expected [-1, 1) that it requires. ### Motivation Consistency between model processor layers. ### Your contribution -
``` import numpy as np import vedo mesh = vedo.load("") mesh.pointdata["counter"] = np.arange(mesh.npoints) mesh.decimate(n=20000) assert len(mesh.pointdata.keys()) != 0 ``` The above loses all cell and point data information. The trick...
I'd like to be able to thicken the mesh within vedo such that the pointdata is retained. For inspiration: https://pymadcad.readthedocs.io/en/latest/_modules/madcad/generation.html#thicken
`mesh.ncells` > `mesh.cells.shape[0]` after `mesh.decimate_pro().clean()` This causes issues as `mesh.cell_centers()` matches the number of cells returned by `mesh.ncells`. Trying to use `mesh.cell_centers()` and `mesh.cells`. So it looks like `mesh.cells` is...
Set up: ``` mesh = vedo.load(mesh_path) labels = [0, 1, 3, 2, ...] mesh.pointdata["Labels"] = labels ``` Labels includes 4 integers, represented by colours: red, green, beige, black (0). Mesh...
The below will search the source for all wheels that match the version rather than restricting to the required platform and python version. ``` [tool.poetry.dependencies] python = ">=3.10,
`spconv.pytorch.cppcore` does not contain bfloat dtypes and therefore cannot handle data with these dtypes.
Steps: ``` sudo apt-get install libglfw3 sudo apt-get install -y libglfw3-dev libxerces-c-dev git clone https://github.com/MeshInspector/MeshLib.git cd MeshLib git submodule update --init --recursive ./scripts/install_thirdparty.sh ... etc ``` `./scripts/build_source.sh` fails due to...
 ``` params = mrmeshpy.GeneralOffsetParameters() params.signDetectionMode = mrmeshpy.SignDetectionMode.WindingRule params.mode = mrmeshpy.GeneralOffsetParametersMode.Smooth faces = np.array(mesh.cells.copy(), np.int32) faces = np.ndarray(shape=faces.shape, dtype=np.int32, buffer=faces) verts = mesh.vertices.copy() verts = np.ndarray(shape=verts.shape, dtype=np.float32, buffer=verts) mesh =...