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@kmader
Last active December 31, 2015 11:29
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Shiny Beamline Interface
library(tiff)
library(gdata)
# path paste
pa.paste<-function(...) paste(...,sep="/")
get.last<-function(in.list,offset=0) in.list[length(in.list)-offset]
pa.getlast<-function(in.path,offset=0) get.last(strsplit(in.path,"/")[[1]],offset=offset)
get.or.blank<-function(var,altval="") {
if(is.null(var)) altval
else var
}
read.dmp.vals<-function(path="/Users/mader/Dropbox/TIPL/test/io_tests/rec_DMP/pivoB04_0301.sin.DMP") {
pprint("reading img",path)
if(nchar(path)>1) {
cdmp<-file(path,open="rb")
dimx<-readBin(cdmp,"int",signed=F,endian="little",size=2)
dimy<-readBin(cdmp,"int",signed=F,endian="little",size=2)
dimz<-readBin(cdmp,"int",signed=F,endian="little",size=2)
o.vals<-readBin(cdmp,"double",endian="little",size=4,n=dimx*dimy)
close(cdmp)
} else {
print("image is empty")
o.vals<-c(1,1,1,1)
dimx<-2
dimy<-2
}
list(vals=o.vals,dim=c(dimx,dimy))
}
dmp.val.to.img<-function(dmp.val) {
(array(dmp.val$vals,dim=dmp.val$dim))
}
read.dmp<-function(path="/Users/mader/Dropbox/TIPL/test/io_tests/rec_DMP/pivoB04_0301.sin.DMP") {
dmp.val<-read.dmp.vals(path)
dmp.val.to.img(path)
}
pprint<-function(...) print(paste(...))
parse.log.lines<-function(log.lines) {
get.clean<-function(c.arg) { # trim the leading and trailing whitespaces
gsub(". $", "",gsub("^ .", "", c.arg))
}
get.clean<-trim
get.val<-function(c.in) {
if(length(c.in)<2) ""
else get.clean(get.last(c.in))
}
# initially no category
cur.category<<-""
o.df<-ldply(log.lines,function(c.item) {
if(substring(c.item,1,3)=="---") {
# new catagory
invisible(cur.category<<-get.clean(gsub("-","",c.item)))
data.frame()
} else {
if(nchar(c.item)>0) {
c.split<-strsplit(c.item,":")[[1]]
data.frame(Category=cur.category,
Option=get.clean(c.split[1]),
Value=get.val(c.split))
} else {
data.frame()
}
}
})
o.df$Value<-as.character(o.df$Value)
o.df$Option<-as.character(o.df$Option)
o.df
}
parse.scan.info<-function(in.df) {
o.val<-list()
o.val$Darks<-as.numeric(subset(in.df,Category=="Scan Settings" & Option=="Number of darks")$Value)
o.val$Flats<-as.numeric(subset(in.df,Category=="Scan Settings" & Option=="Number of flats")$Value)
o.val$Projections<-as.numeric(subset(in.df,Category=="Scan Settings" & Option=="Number of projections")$Value)
o.val
}
library(shiny)
library(ggplot2)
library(ggthemes)
library(plyr)
source('recoTools.R')
shinyServer(function(input, output) {
## path code for selecting the current measurement
root.dir<-reactive({
if(!exists("old.wd")) old.wd<-getwd()
old.wd
})
get.drives<-reactive({
drv.list<-sapply(Sys.glob(pa.paste(root.dir(),"*/")),
pa.getlast)
as.vector(drv.list)
})
get.disks<-reactive({
as.vector(sapply(Sys.glob(pa.paste(root.dir(),
get.or.blank(input$drive_selected,"*"),
"*/")),
pa.getlast))
})
get.samples<-reactive({
as.vector(sapply(Sys.glob(pa.paste(root.dir(),
get.or.blank(input$drive_selected,"*"),
get.or.blank(input$disk_selected,"*"),
"*/")),
pa.getlast))
})
output$drive_selector<-renderUI({
selectInput("drive_selected","Drive Name",get.drives())
})
output$disk_selector<-renderUI({
selectInput("disk_selected","Disk Name",get.disks())
})
output$sample_selector<-renderUI({
selectInput("sample_selected","Sample Name",get.samples())
})
get.disk.path<-reactive({
pa.paste(root.dir(),
get.or.blank(input$drive_selected,"*"),
get.or.blank(input$disk_selected,"*"))
})
# reading the log information and projections
get.sample.path<-reactive({
if(!is.null(input$sample_selected)) pa.paste(get.disk.path(),
get.or.blank(input$sample_selected,"*"))
else ""
})
get.log.lines<-reactive({
log.name<-Sys.glob(pa.paste(get.sample.path(),"tif/*.log"))[1]
print(log.name)
log.file<-file(log.name,"r")
out.lines<-readLines(log.file)
close(log.file)
parse.log.lines(out.lines)
})
get.scan.info<-reactive({
parse.scan.info(get.log.lines())
})
get.projections<-reactive({
as.vector(sapply(Sys.glob(pa.paste(get.sample.path(),"tif/*.tif")),pa.getlast))
})
output$projection_selector<-renderUI({
if (length(get.projections())>1) {
wellPanel(selectInput('projection_selected', 'Projections', get.projections()),
sliderInput('drk_sel', 'Select Dark', min=1, max=get.scan.info()$Darks,value=1,round=0),
sliderInput('flt_sel', 'Select Flat', min=1, max=get.scan.info()$Flats,value=1,round=0),
sliderInput('prj_sel', 'Select Projection', min=1, max=get.scan.info()$Projections,value=1,round=0))
} else h3("No Projections for Current Sample")
})
## read projections, scale, and perform flat-field correction
read.cur.prj<-reactive({
tif.file<-pa.paste(get.sample.path(),"tif",
get.or.blank(input$projection_selected))
readTIFF(tif.file)
})
get.flt.prj<-reactive({
"/Users/mader/Dropbox/WorkRelated/BeamlineTools/Data10/disk1/01_/tif/01_0044.tif"
})
read.flt.prj<-reactive({
readTIFF(get.flt.prj())
})
get.cor.prj<-reactive({
if(get.or.blank(input$flatfield_correction,F)) read.flt.prj()/read.cur.prj()
else read.cur.prj()
})
output$prj_histogram<-renderPlot({
hist(get.cor.prj())
})
output$minmax_selector<-renderUI({
gvals<-as.vector(get.cor.prj())
if (length(gvals)>1) {
wellPanel(sliderInput('prj_min_val', 'Minimum Value',
min=min(gvals), max=max(gvals),
value=min(gvals)),
sliderInput('prj_max_val', 'Maximum Value',
min=min(gvals), max=max(gvals),
value=max(gvals)),
h4(paste("Cur Position",input$previewClick$x,", y",input$previewClick$y)))
} else h3("No Image Loaded")
})
get.min<-reactive({
get.or.blank(input$prj_min_val,0.00)
})
get.max<-reactive({
get.or.blank(input$prj_max_val,1)
})
## code for rendering the projection
get.colors<-reactive({
if (input$use_color) rainbow(80)
else gray((0:80)/80)
})
output$prj_preview<-renderPlot({
c.img<-t(get.cor.prj())
x.vals<-c(1:nrow(c.img))
y.vals<-c(1:ncol(c.img))
if(input$prj_crop) {
imagefn<-function(...) image(...,xlim=c(input$prj_crop_minx,input$prj_crop_maxx),
ylim=c(input$prj_crop_miny,input$prj_crop_maxy),asp=0,axes=T) # no aspect ratio
}
else {
imagefn<-function(...) image(...,asp=1,axes=F)
}
imagefn(x.vals,y.vals,c.img,
zlim=c(get.min(),get.max()),
useRaster=T,col=get.colors())
})
## reconstruction previewing and such
get.reconstructions<-reactive({
as.vector(sapply(Sys.glob(pa.paste(get.sample.path(),"rec*/")),pa.getlast))
})
get.reco.slices<-reactive({
as.vector(sapply(Sys.glob(pa.paste(get.sample.path(),
get.or.blank(input$reconstruction_selected),
"/*.*")),pa.getlast))
})
output$reconstruction_selector<-renderUI({
if (length(get.reconstructions())>1) {
wellPanel(selectInput('reconstruction_selected', 'Reconstruction', get.reconstructions()),
selectInput('slice_selected','Slice',get.reco.slices()))
} else h3("No Reconstructions for Current Sample")
})
## code for previewing folders
output$log_file<-renderDataTable({
o.df<-(get.log.lines())
o.df
})
output$folder_contents<-renderDataTable({
if(nchar(get.sample.path()>0)) {
all.subfiles<-Sys.glob(pa.paste(get.sample.path(),"*/*.*"))
subfiles<-ldply(all.subfiles,function(filename) {
data.frame(folder=pa.getlast(filename,1),
ext=get.last(strsplit(pa.getlast(filename),"[.]")[[1]]),
size=file.info(filename)$size)
})
ddply(subfiles,.(folder),function(c.folder) {
data.frame(files=nrow(c.folder),
size_gb=sum(c.folder$size)/1e9,
exts=paste(unique(c.folder$ext),collapse=","))
})
}
})
output$disk_contents<-renderDataTable({
if(nchar(get.disk.path()>0)) {
all.subfiles<-Sys.glob(pa.paste(get.disk.path(),"*/*/*.*"))
subfiles<-ldply(all.subfiles,function(filename) {
data.frame(folder=pa.getlast(filename,3),
ext=get.last(strsplit(pa.getlast(filename),"[.]")[[1]]),
size=file.info(filename)$size)
})
ddply(subfiles,.(folder),function(c.folder) {
data.frame(files=nrow(c.folder),
size_gb=sum(c.folder$size)/1e9,
exts=paste(unique(c.folder$ext),collapse=","))
})
}
})
})
library(shiny)
library(ggplot2)
shinyUI(pageWithSidebar(
headerPanel("Beamline Tools"),
sidebarPanel(
uiOutput("drive_selector"),
uiOutput("disk_selector"),
uiOutput("sample_selector")
),
mainPanel(
tabsetPanel(
tabPanel("Projection Viewer",
checkboxInput("flatfield_correction","Perform flat-field correction",F),
uiOutput('projection_selector'),
plotOutput('prj_preview',clickId='previewClick',height="600px"),
checkboxInput("use_color","Color Projection",F),
checkboxInput("prj_crop","Crop Projection (Zoom)",F),
conditionalPanel(
condition = "input.prj_crop == true",
sliderInput('prj_crop_minx', 'Min X', min=1, max=2560,value=1,round=0),
sliderInput('prj_crop_maxx', 'Max X', min=1, max=2560,value=2560,round=0),
sliderInput('prj_crop_miny', 'Min Y', min=1, max=2160,value=1,round=0),
sliderInput('prj_crop_maxy', 'Min Y', min=1, max=2160,value=2160,round=0)
),
uiOutput('minmax_selector'),
plotOutput('prj_histogram')
),
tabPanel("Reconstruction Viewer",
uiOutput('reconstruction_selector'),
plotOutput('rec_preview',clickId='recoClick',height="600px"),
plotOutput('rec_histogram')
),
tabPanel("Log File",dataTableOutput("log_file")),
tabPanel("Folder Contents",dataTableOutput("folder_contents")),
tabPanel("Disk Contents",dataTableOutput("disk_contents"))
)
)
))
@kmader
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kmader commented Dec 16, 2013

Rscript -e "library(shiny);old.wd<-getwd();runGist(7980071)"

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