Hi,
using skeletonize_pc with default parameters I'm getting the following error:
(1/4) Computing layers [==========================] 100%
(2/4) Clustering layers [==========================] 100%
(3/4) Building skeleton [==========================] 100%
(4/4) Computing topology [============>-------------] 50%Error in .prepareFastSubset(isub = isub, x = x, enclos = parent.frame(), :
RHS of == is length 0 which is not 1 or nrow (28349). For robustness, no recycling is allowed (other than of length 1 RHS). Consider %in% instead.
it seems to be related to the data.table package (see here) but I didn't get where this might be located in your process. I stick it here and I'll check if I'm able to dig a bit more in your code in the next days.
In the meantime, here the code used:
library(aRchi)
library(TreeLS) # my own fork, updated version
file = system.file("extdata", "pine.laz", package="TreeLS")
tls = readTLS(file)
# normalize the point cloud
tls = tlsNormalize(tls, keep_ground = F)
# build an empty aRchi file and add the point cloud
aTree = aRchi::build_aRchi()
aTree = aRchi::add_pointcloud( aTree, point_cloud = tls)
# build a skeleton from the point cloud
skeTree = skeletonize_pc(
aTree,
D = 0.03,
progressive = TRUE,
cl_dist = 0.02,
max_d = 0.05
)
Hi, using
skeletonize_pc
with default parameters I'm getting the following error:it seems to be related to the
data.table
package (see here) but I didn't get where this might be located in your process. I stick it here and I'll check if I'm able to dig a bit more in your code in the next days.In the meantime, here the code used: