#load all the data needed for using the package
#especially to avoid error when using runpRolocExtra
.onLoad <- function(...){
print("All the data needed for this package are loading.")
library(pRolocdata)
alldatapRoloc <- c()
for (i in 1:(length(pRolocdata::pRolocdata()[[3]])/4)){
alldatapRoloc <- append(alldatapRoloc, pRolocdata::pRolocdata()[[3]][i,][[3]])
}
alldatapRoloc <- append(alldatapRoloc, c("FdynCon_n_Msn", "SdynCon_n_Msn", "TdynCon_n_Msn",
"FdynEGF_n_Msn", "SdynEGF_n_Msn", "TdynEGF_n_Msn",
"alldyn", "alldyn_mean", "alldyn_two"))
alldatapRoloc <<- alldatapRoloc
d <- c()
for (i in 1:length(alldatapRoloc)){
if (exists(alldatapRoloc[i]) == FALSE){ # if some data already loaded, don't do it twice
d <- append(d, alldatapRoloc[i])
}
}
if (!is.null(d)){
data(list = d)
}
inst_conda <- tolower(readline(prompt = "Do you want to configure miniconda now with reticulate package \nin order to use CNNimgClassification ? (yes/no)"
)
)
if(inst_conda == "yes" | inst_conda == "y"){
x <- tryCatch(reticulate::conda_list(),
error = function(e)
"no_conda")
y <- x
if(class(x) != "character"){
n_conda <- nrow(x)
vers_conda <- x$name
todo <- readline(prompt = paste(n_conda, "versions of conda was found in your computer. \nWhich one do you want to use ? Or do you want to install one with reticulate anyway ? \nChoices :", paste(vers_conda, collapse = ", "), "or install.")
)
if(todo == "install"){
y <- "inst"
}
else if(sum(todo %in% c("default", vers_conda)) == 0){
print("Invalid choice")
}
else{
reticulate::use_condaenv(condaenv = todo)
}
}
if(class(y) == "character"){
message("No conda installation was found in your computer. \nreticulate will install it; the environment name will be 'r-reticulate' \nAlso, all the python librairies needed will be installed.")
reticulate::install_miniconda()
reticulate::use_condaenv(condaenv = "r-reticulate")
message("Installing librairies...")
reticulate::py_install(packages = c("matplotlib",
"pandas",
"opencv")
)
reticulate::py_install(c("pytorch", "torchvision"),
channel = c("pytorch")
) ## torchvision is only accessible in channel pytorch
}
}
else if(inst_conda == "no" | inst_conda == "n"){
message("If you want to use CNNimgClassification, be sure that conda is in your computer.")
}
else{
print("Invalid choice")
}
}
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