prascle
commented
2 years ago Hello,
I think this is related to invalid points. It seems that when CloudCompare reads a file with invalid points, the scalar fields arrays are resized for all the points, then the cloud is resized to keep only the valid points, but the scalar fields keep the original size.
In the case of invalid points, the scalarField should be resized with sf.resizeSafe(cloud.size(), False, 0.0)
A test with some E57 files from http://www.libe57.org/data.html
import os
import sys
import math
os.environ["_CCTRACE_"] = "ON" # only if you want C++ debug traces
from gendata import dataDir, dataExtDir, isCoordEqual
import cloudComPy as cc
listFiles=["manitou.e57",
"manitouNoInvalidPoints.e57",
"pumpARowColumnIndex.e57",
"pumpARowColumnIndexNoInvalidPoints.e57",
"pump.e57",
"pumpNoInvalidPoints.e57"
]
for f in listFiles:
print("===================================== ",f)
entities = cc.importFile(os.path.join(dataExtDir,f))
for entity in entities[1]:
print("-------------",entity.getName(), "size", entity.size())
sf = entity.getScalarField(0)
print("sf.currentSize()", sf.currentSize())
if (sf.currentSize() > entity.size()):
asf = sf.toNpArray()
print("invalid elements - asf.shape", asf.shape)
print(asf[entity.size()-20:entity.size()+20 ])
sf.resizeSafe(entity.size(), False, 0.0)
sf.computeMinAndMax()
asf = sf.toNpArray()
print("asf.shape", asf.shape)
print(asf[entity.size()-20:])
dgirardeau
Hello, first I would like to express my gratitude for adding the ccSensors attribute for geting the tansformation data from e57.
As I was using the codes, I have encountered something strange by converting the Scalerfield(intensity) to Numpy Array, about the last 50 elements of the array become zero, although when I open the same data with Pye57, there is no zero in the last elements. Thanks in advance.