rm(list = ls())
library(Rcpp)
Rcpp::sourceCpp("pgm.cpp")
N <- 1024
int_vec <- rep.int(seq(N) - 1, N) %% 256L
int_mat <- matrix(int_vec, N, N, byrow = TRUE)
dbl_mat <- int_mat/255
dbl_vec <- as.vector(dbl_mat)
res <- write_pgm_rcpp(dbl_mat, here::here('working/images/grey-rcpp.pgm'))
# mat
dbl_df <- as.data.frame(dbl_mat)
grey_res <- NULL
grey_res <- bench::mark(
rcpp = write_pgm_rcpp (dbl_mat, here::here('working/images/grey-rcpp.pgm')),
netpbm1 = mininetpbm::write_pgm(dbl_mat, here::here('working/images/grey-r.pgm')),
png = png::writePNG (dbl_mat, here::here('working/images/grey.png')),
jpeg = jpeg::writeJPEG (dbl_mat, here::here('working/images/grey.jpg')),
min_time = 0.5,
check = FALSE
)
if (!is.null(grey_res)) {
print(grey_res)
library(ggplot2)
plot(grey_res) + theme_bw(15)
}
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