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Shiny Beamline Interface
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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")$Value) | |
o.val | |
} |
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library(shiny) | |
library(ggplot2) | |
library(ggthemes) | |
library(plyr) | |
source('recoTools.R') | |
shinyServer(function(input, output) { | |
## path code for selecting the current measurement | |
root.dir<-reactive({ | |
if(!exists("old.wd")) old.wd<-getwd() | |
old.wd | |
}) | |
get.drives<-reactive({ | |
drv.list<-sapply(Sys.glob(pa.paste(root.dir(),"*/")), | |
pa.getlast) | |
as.vector(drv.list) | |
}) | |
get.disks<-reactive({ | |
as.vector(sapply(Sys.glob(pa.paste(root.dir(), | |
get.or.blank(input$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=",")) | |
}) | |
} | |
}) | |
}) |
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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")) | |
) | |
) | |
)) |
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Rscript -e "library(shiny);old.wd<-getwd();runGist(7980071)"