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Nicolas Cattaneo
Holger_Tower_POV
Commits
923b447b
Commit
923b447b
authored
1 year ago
by
nicoscattaneo
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update repo
parent
03bcd37f
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CodeR/01_Compute_angles_square.r
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CodeR/01_Compute_angles_square.r
CodeR/02_Compute_angles_cone.r
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122 additions, 0 deletions
CodeR/02_Compute_angles_cone.r
CodeR/02_Compute_angles_cone.r~
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118 additions, 0 deletions
CodeR/02_Compute_angles_cone.r~
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CodeR/01_
test_data_structu
re.r
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CodeR/01_
Compute_angles_squa
re.r
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−
0
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CodeR/02_Compute_angles_cone.r
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923b447b
rm
(
list
=
ls
())
gc
()
## system("gio mount -u smb://int.nibio.no/Databank")
## system(paste0("gio mount smb://int.nibio.no/Databank ",
## "< /home/nibio/.craden"))
## @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
## Move the scan to have a local copy.
## Origin <- paste0("/run/user/1003/gvfs",
## "/smb-share:server=int.nibio.no,",
## "share=databank/Prosjekter",
## "/51160_IMPRINT/Forest_projections",
## "/DataR/to_map/merged_22_classified.las")
Dest
<-
"/home/nibio/DATA"
## cmd <- paste("cp", Origin, Dest)
## system(cmd)
## REMOVE FILE FROM ORIGIN!
## @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
rm
(
list
=
ls
())
library
(
"rlas"
)
library
(
"rgl"
)
library
(
"stringr"
)
library
(
"VoxR"
)
install.packages
(
"VoxR"
)
install.packages
(
"Rfast"
)
library
(
"data.table"
)
load
(
"/home/pepito/Documents/holger_tower_pov/DataR/pan3d.RData"
)
## this function scale points coordinate
## between 0 and (max-min) values
Scale
<-
function
(
Vector
){
((
Vector
-
min
(
Vector
))
/
(
max
(
Vector
)
-
min
(
Vector
)))
*
(
max
(
Vector
)
-
min
(
Vector
))}
## @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
## plot data - full path
DataPaths
<-
list.files
(
paste0
(
"/home/pepito/Documents"
,
"/holger_tower_pov/DataR"
),
pattern
=
"plot_"
,
## pattern = "Plot_",
full.names
=
T
)
Data
<-
read.las
(
DataPaths
)
Data
<-
Data
[
sample
(
1
:
nrow
(
Data
),
nrow
(
Data
)
*
0.20
),
]
Data
[,
X
:=
Scale
(
Data
$
X
)]
Data
[,
Y
:=
Scale
(
Data
$
Y
)]
Data
[,
Z
:=
Scale
(
Data
$
Z
)]
Data
[,
X
:=
X
-
mean
(
X
)]
Data
[,
Y
:=
Y
-
mean
(
Y
)]
Data
<-
Data
[,
1
:
3
]
plot3d
(
Data
,
aspect
=
"iso"
,
size
=
0.5
)
pan3d
(
3
)
## @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
## Create an artificial tower. Just the corners
## CornA <- data.table(X = 3, Y = 3, Z = 40)
CornA
<-
Data
[
identify3d
(
Data
,
n
=
1
),
]
spheres3d
(
CornA
,
radius
=
1
,
col
=
"yellow"
)
## Left click on a ground point in the point cloud
## Right click to scape
CornB
<-
Data
[
identify3d
(
Data
,
n
=
1
),
]
spheres3d
(
CornB
,
radius
=
1
,
col
=
"red"
)
## rgl.pop()
cross3d_prod
<-
function
(
v1
,
v2
){
v3
<-
vector
()
v3
[
1
]
<-
v1
[
2
]
*
v2
[
3
]
-
v1
[
3
]
*
v2
[
2
]
v3
[
2
]
<-
v1
[
3
]
*
v2
[
1
]
-
v1
[
1
]
*
v2
[
3
]
v3
[
3
]
<-
v1
[
1
]
*
v2
[
2
]
-
v1
[
2
]
*
v2
[
1
]
return
(
v3
)
}
dist3d
<-
function
(
xa
,
ya
,
za
,
xb
,
yb
,
zb
,
xc
,
yc
,
zc
)
{
a
<-
c
(
xa
,
ya
,
za
)
b
<-
c
(
xb
,
yb
,
zb
,
xc
)
c
<-
c
(
xc
,
yc
,
zc
)
v1
<-
b
-
c
v2
<-
a
-
b
v3
<-
cross3d_prod
(
v1
,
v2
)
area
<-
sqrt
(
sum
(
v3
*
v3
))
/
2
d
<-
2
*
area
/
sqrt
(
sum
(
v1
*
v1
))
return
(
d
)
}
Data
[,
Dista
:=
dist3d
(
X
,
Y
,
Z
,
CornA
$
X
,
CornA
$
Y
,
CornA
$
Z
,
CornB
$
X
,
CornB
$
Y
,
CornB
$
Z
),
by
=
seq_len
(
nrow
(
Data
))]
setnames
(
Data
,
"Dista"
,
"CO"
)
## plot3d(Data, aspect = "iso", size = 0.5, col = "grey21")
## plot3d(Data[CO < 2 , ], aspect = "iso", size = 4, col = "red", add = T)
## spheres3d(CornA, radius = 1, col = "yellow")
## spheres3d(CornB, radius = 1, col = "red")
dist3d2
<-
function
(
xa
,
ya
,
za
,
xb
,
yb
,
zb
)
{
d
<-
sqrt
(((
xa
-
xb
)
^
2
)
+
((
ya
-
yb
)
^
2
)
+
((
za
-
zb
)
^
2
))
return
(
d
)}
Data
[,
H
:=
dist3d2
(
X
,
Y
,
Z
,
CornA
$
X
,
CornA
$
Y
,
CornA
$
Z
),
by
=
seq_len
(
nrow
(
Data
))]
## plot3d(Data2, aspect = "iso", size = 4, col = "red", add = T)
## spheres3d(CornA, radius = 1, col = "yellow")
## spheres3d(CornB, radius = 1, col = "red")
Data
[,
Angle
:=
CO
/
H
]
Data
[,
Angle
:=
(
asin
(
Angle
))
*
180
/
pi
]
plot3d
(
Data
[
Angle
<
7
,
],
aspect
=
"iso"
,
size
=
4
,
col
=
"red"
,
add
=
T
)
pan3d
(
3
)
This diff is collapsed.
Click to expand it.
CodeR/02_Compute_angles_cone.r~
0 → 100644
+
118
−
0
View file @
923b447b
rm(list=ls())
gc()
## system("gio mount -u smb://int.nibio.no/Databank")
## system(paste0("gio mount smb://int.nibio.no/Databank ",
## "< /home/nibio/.craden"))
## @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
## Move the scan to have a local copy.
## Origin <- paste0("/run/user/1003/gvfs",
## "/smb-share:server=int.nibio.no,",
## "share=databank/Prosjekter",
## "/51160_IMPRINT/Forest_projections",
## "/DataR/to_map/merged_22_classified.las")
Dest <- "/home/nibio/DATA"
## cmd <- paste("cp", Origin, Dest)
## system(cmd)
## REMOVE FILE FROM ORIGIN!
## @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
rm(list=ls())
library("rlas")
library("rgl")
library("stringr")
library("VoxR")
library("data.table")
load("/home/pepito/Documents/holger_tower_pov/DataR/pan3d.RData")
## this function scale points coordinate
## between 0 and (max-min) values
Scale <- function(Vector){
((Vector - min(Vector))/
(max(Vector)-min(Vector)))*
(max(Vector)-min(Vector))}
## @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
## plot data - full path
DataPaths <- list.files(paste0("/home/pepito/Documents",
"/holger_tower_pov/DataR"),
pattern = "plot_",
## pattern = "Plot_",
full.names = T)
Data <- read.las(DataPaths)
Data <- Data[sample(1:nrow(Data), nrow(Data)*0.20), ]
Data[, X := Scale(Data$X)]
Data[, Y := Scale(Data$Y)]
Data[, Z := Scale(Data$Z)]
Data[, X := X-mean(X)]
Data[, Y := Y-mean(Y)]
Data <- Data[, 1:3]
plot3d(Data, aspect = "iso", size = 0.5)
pan3d(3)
## @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
## Create an artificial tower. Just the corners
## CornA <- data.table(X = 3, Y = 3, Z = 40)
CornA <- Data[identify3d(Data, n = 1), ]
spheres3d(CornA, radius = 1, col = "yellow")
## Left click on a ground point in the point cloud
## Right click to scape
CornB <- Data[identify3d(Data, n = 1), ]
spheres3d(CornB, radius = 1, col = "red")
## rgl.pop()
cross3d_prod <- function(v1,v2){
v3 <- vector()
v3[1] <- v1[2]*v2[3]-v1[3]*v2[2]
v3[2] <- v1[3]*v2[1]-v1[1]*v2[3]
v3[3] <- v1[1]*v2[2]-v1[2]*v2[1]
return(v3)
}
dist3d <- function(xa, ya, za, xb, yb, zb, xc, yc, zc) {
a <- c(xa, ya, za)
b <- c(xb, yb, zb, xc)
c <- c(xc, yc, zc)
v1 <- b - c
v2 <- a - b
v3 <- cross3d_prod(v1,v2)
area <- sqrt(sum(v3*v3))/2
d <- 2*area/sqrt(sum(v1*v1))
return(d)
}
Data[, Dista := dist3d(X, Y, Z,
CornA$X, CornA$Y, CornA$Z,
CornB$X, CornB$Y, CornB$Z),
by = seq_len(nrow(Data))]
setnames(Data, "Dista", "CO")
## plot3d(Data, aspect = "iso", size = 0.5, col = "grey21")
## plot3d(Data[CO < 2 , ], aspect = "iso", size = 4, col = "red", add = T)
## spheres3d(CornA, radius = 1, col = "yellow")
## spheres3d(CornB, radius = 1, col = "red")
dist3d2 <- function(xa, ya, za, xb, yb, zb) {
d <- sqrt(((xa - xb)^2) + ((ya - yb)^2) + ((za - zb)^2))
return(d)}
Data[, H := dist3d2(X, Y, Z,
CornA$X, CornA$Y, CornA$Z),
by = seq_len(nrow(Data))]
## plot3d(Data2, aspect = "iso", size = 4, col = "red", add = T)
## spheres3d(CornA, radius = 1, col = "yellow")
## spheres3d(CornB, radius = 1, col = "red")
Data[, Angle := CO/H]
Data[, Angle := (asin(Angle))*180/pi]
plot3d(Data[Angle < 7, ], aspect = "iso", size = 4, col = "red", add = T)
pan3d(3)
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