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MX_Pmodule/EM/crYOLO/modulefile
bliven_s 308fd1c890 CrYOLO/1.6.1 modules
There are _cpu and _gpu flags available, which are selected based on
fancy modulefile code (Thanks Achim)
2020-07-15 16:57:12 +02:00

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#%Module
module-whatis "crYOLO is a fast and accurate particle picking procedure for electron microscopy"
module-url "http://sphire.mpg.de/wiki/doku.php?id=pipeline:window:cryolo"
module-license "SPHIRE-crYOLO Complimentary Science Software License (http://sphire.mpg.de/wiki/doku.php?id=cryolo_license). Non-commercial academic and research purposes only"
module-maintainer "Spencer Bliven <spencer.bliven@psi.ch>"
module-help "
CrYOLO is a fast and accurate particle picking procedure. It's based on
convolutional neural networks and utilizes the popular You Only Look Once
(YOLO) object detection system.
* crYOLO makes picking fast On a modern GPU it will pick your particles at
up to 6 micrographs per second.
* crYOLO makes picking smart The network learns the context of particles
(e.g. not to pick particles on carbon or within ice contamination )
* crYOLO makes training easy You might use a general network model and skip
training completely. However, if the general model doesn't give you
satisfactory results or if you would like to improve them, you might want
to train a specialized model specific for your data set by selecting
particles (no selection of negative examples necessary) on a small number
of micrographs.
"
# Check for supported shell types
set shelltype [module-info shelltype]
switch -- $shelltype {
"sh" {
puts stdout "source \"\${ANACONDA_PREFIX}\"/admintools/conda_setup.sh;\n"
}
default {
puts stderr "Shells of type '$shelltype' are NOT supported!"
}
}
# Determine useflags and construct conda env name
set list [split $V "_"]
set version [lindex ${list} 0]
set useflags [lrange ${list} 1 end]
set flavour [lindex $useflags 0]
set env_to_activate [string tolower ${P}]-${version}-${flavour}
#puts stderr "P/V: $P/$V"
#puts stderr "USEFLAG: [lindex $useflags 0]"
#puts stderr "$env_to_activate"
switch [module-info mode] {
"load" {
# Relies on the anaconda module being loaded since we need to update the path
puts stdout "conda activate $env_to_activate;\n"
}
"unload" -
"remove" {
puts stdout "conda deactivate;\n"
}
}