I have text file with point cloud data in UTM format, say
sample=[632535.222, 4858488.332, 150.555]
I am currently using
laspy, the parsing from txt is ready, and I plan to generate a new las file using the following code:
header = laspy.LasHeader(point_format=0, version="1.3") outfile = laspy.LasData(header) outfile.x = utm_east outfile.y = utm_north outfile.z = utm_z outfile.intensity = raw_intensity las.write(out_path)
I am getting the error message:
ValueError: invalid literal for int() with base 10: '632535.331'
which obviously because I am trying to store a float point into 32bit signed int as data format for LAS file.
Is there any way I can get around this with while retaining the precision of the result here? Even with scaling I think it goes beyond the maximum for 32bit int.