prascle
commented
10 months ago Hi, It's not obvious at a first glance. How many nodes do you have in your cloud ? How do you choose the octree level depending on the radius ? How many neighbours do you have on average ? Following your progress bar, can you give an estimate of the number of nodes analysed per second ? Best, Paul
Le mar. 28 nov. 2023, 14:25, Yusuf Dogan @.***> a écrit :
Hi, I have a problem with cc.CylindricalNeighbourhood(). When I ran this function it, took long long time and calculation didn't over. I mean the code runs to infinity :) I did the same thing with getPointsInSphericalNeighbourhood with the same data, calculation had done in 20 minutes successfully. I would like to ask why it takes too long, is there something wrong in my code? Here my code for SPHERICAL NEIGHBOURHOOD `neighbourZ = [] mean = [] median = [] variance = [] range_Z = [] Pz_mean = [] Pz_median = []
for i in tqdm(range(0, cloud.size())): neighbours = octree.getPointsInSphericalNeighbourhood((sfX.getValue(i), sfY.getValue(i), sfZ.getValue(i)), r, level)
for k in range(0, len(neighboursCyl)): neighbourZ.append(neighboursCyl[k].point[2])
mean.append(np.mean(neighbourZ)) variance.append(np.var(neighbourZ)) range_Z.append(max(neighbourZ) - min(neighbourZ)) Pz_mean.append(np.mean(neighbourZ) - sfZ.getValue(i)) Pz_median.append(np.median(neighbourZ) - sfZ.getValue(i)) neighbourZ.clear()`
Here my code for CYLINDRICAL NEIGHBOURHOOD `neighbourZ = [] mean = [] median = [] variance = [] range_Z = [] Pz_mean = [] Pz_median = []
params = cc.CylindricalNeighbourhood() params.level = level params.radius = r params.maxHalfLength = 1
for i in tqdm(range(0, cloud.size())): params.center = (sfX.getValue(i), sfY.getValue(i), sfZ.getValue(i)) neighboursCyl = octree.getPointsInCylindricalNeighbourhood(params)
for k in range(0, len(neighboursCyl)): neighbourZ.append(neighboursCyl[k].point[2])
mean.append(np.mean(neighbourZ)) variance.append(np.var(neighbourZ)) range_Z.append(max(neighbourZ) - min(neighbourZ)) Pz_mean.append(np.mean(neighbourZ) - sfZ.getValue(i)) Pz_median.append(np.median(neighbourZ) - sfZ.getValue(i)) neighbourZ.clear()`
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Hi, I have a problem with
cc.CylindricalNeighbourhood(). When I ran this function it, took long long time and calculation didn't over. I mean the code runs to infinity :) I did the same thing withgetPointsInSphericalNeighbourhoodwith the same data, calculation had done in 20 minutes successfully. I would like to ask why it takes too long, is there something wrong in my code? Here my code for SPHERICAL NEIGHBOURHOOD ` neighbourZ = [] mean = [] median = [] variance = [] range_Z = [] Pz_mean = [] Pz_median = []for i in tqdm(range(0, cloud.size())): neighbours = octree.getPointsInSphericalNeighbourhood((sfX.getValue(i), sfY.getValue(i), sfZ.getValue(i)), r, level)
`
Here my code for CYLINDRICAL NEIGHBOURHOOD ` neighbourZ = [] mean = [] median = [] variance = [] range_Z = [] Pz_mean = [] Pz_median = []
params = cc.CylindricalNeighbourhood() params.level = level params.radius = r params.maxHalfLength = 1
for i in tqdm(range(0, cloud.size())): params.center = (sfX.getValue(i), sfY.getValue(i), sfZ.getValue(i)) neighboursCyl = octree.getPointsInCylindricalNeighbourhood(params)
`