test_that("facetrain", {
skip_on_cran() # requires a python installation with dlib
stimuli <- webmorphR.stim::load_stim_composite() |>
webmorphR::subset_tem(webmorphR::features("face"))
#stimuli[1] |> draw_tem()
## too-small
dir <- tempfile()
xml <- tem_to_xml(stimuli[1:2], dir = dir)
# train model
output <- tempfile(fileext = ".dat")
expect_error( facetrain(xml, output) )
# options with errors
expect_error( facetrain(xml, output, nu = 2) )
expect_error( facetrain(xml, output, jitter = -1) )
skip("long process")
# create xml and image directory for training
dir <- tempfile()
xml <- tem_to_xml(stimuli, dir = dir)
# train model
output <- tempfile(fileext = ".dat")
newmodel <- facetrain(xml, output)
teststim <- webmorphR.stim::load_stim_lisa() |>
dlib_auto_delin(replace = TRUE, model_path = newmodel)
expect_equal(teststim[[1]]$points |> dim(),
stimuli[[1]]$points |> dim())
# teststim[1] |> draw_tem(pt.shape = "index", pt.size = 15)
})
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