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#' @title Read Deep Learning Detection Data
#'
#' @description Reads binary data stored by the DbHt module.
#'
#' @param fid binary file identifier
#' @param fileInfo structure holding the file header and module header
#' @param data a structure containing standard data
#' @param debug logical flag to show more info on errors
#' @param \dots Arguments passed to other functions
#'
#' @return a structure containing data from a single object, and a logical
#' flag if an error has occurred
#'
#' @author Taiki Sakai \email{taiki.sakai@@noaa.gov}
#'
readDLDetData <- function(fid, fileInfo, data, debug=FALSE, ...) {
error <- FALSE
tryCatch({
dataLength <- pamBinRead(fid, 'int32', n=1)
if(dataLength==0) {
return(list(data=data, error=error))
}
data$nChan <- pamBinRead(fid, 'int16', n=1)
data$nSamps <- pamBinRead(fid, 'int32', n=1)
data$scale <- 1/pamBinRead(fid, 'float', n=1)
data$wave <- matrix(pamBinRead(fid, 'int8', n=data$nSamps*data$nChan), ncol=data$nChan) / data$scale
return(list(data=data, error=error))
# }, warning = function(w) {
# print(paste('Warning occurred: ', w))
# return(list(data=data, error=error))
}, error = function(e) {
if(debug) {
print(paste0('Error reading ', fileInfo$fileHeader$moduleType, ' Data read:'))
print(data)
print(e)
}
error <- TRUE
return(list(data=data, error=error))
})
}
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