Dmitry Rude
You can create a new e57, copy the points into it, and spell out the necessary header.
I have the same problem Increasing swap did not help
The following solution worked for me: 1. use float32 instead of float64 ``` SUPPORTED_CARTESIAN_POINT_FIELDS = { "cartesianX": np.float32, # was "d" "cartesianY": np.float32, # was "d" "cartesianZ": np.float32, # was...
> having an option for switching to float 32 would be great ``` import numpy as np from pye57 import e57 e57.SUPPORTED_CARTESIAN_POINT_FIELDS = { "cartesianX": np.float32, "cartesianY": np.float32, "cartesianZ": np.float32,...
@spatialhast @Musaub7 translation = image2D['pose']['translation'] rotation = image2D['pose']['rotation'] x = float(translation['x'].value()) y = float(translation['y'].value()) z = float(translation['z'].value()) rx = float(rotation['x'].value()) ry = float(rotation['y'].value()) rz = float(rotation['z'].value()) rw = float(rotation['w'].value()) print(x,...
> Have you already found a solution to extract panoramic image from e57 wich not contains embbeded image? I've got it. You could try to use rowIndex / columnIndex. I...
> https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012160/pdf Applying rowColumn allows you to pull panoramas from e57 files generated, for example, in ReCap. It is not about synthesizing panoramas from points, it is only about extracting...
That would be great