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dldt-model-optimizer: add recipe

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Model Optimizer is a cross-platform command-line tool that facilitates
the transition between the training and deployment environment,
performs static model analysis, and adjusts deep learning models for
optimal execution on end-point target devices.

For more details, see:

https://software.intel.com/en-us/openvino-toolkit/deep-learning-cv

Since the recipe requires bits from meta-python, move this to the
dynamic layers section and add meta-python to BBFILES_DYNAMIC.

Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
This commit is contained in:
Anuj Mittal 2019-09-11 22:00:04 +08:00
parent 70d414ce56
commit 7aef51c962
2 changed files with 33 additions and 3 deletions
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5
conf/layer.conf
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@ -23,11 +23,10 @@ LAYERSERIES_COMPAT_intel = "thud warrior"
BBFILES_DYNAMIC += " \ BBFILES_DYNAMIC += " \
clang-layer:${LAYERDIR}/dynamic-layers/clang-layer/*/*/*.bb \ clang-layer:${LAYERDIR}/dynamic-layers/clang-layer/*/*/*.bb \
clang-layer:${LAYERDIR}/dynamic-layers/clang-layer/*/*/*.bbappend \ clang-layer:${LAYERDIR}/dynamic-layers/clang-layer/*/*/*.bbappend \
"
BBFILES_DYNAMIC += " \
openembedded-layer:${LAYERDIR}/dynamic-layers/openembedded-layer/*/*/*.bb \ openembedded-layer:${LAYERDIR}/dynamic-layers/openembedded-layer/*/*/*.bb \
openembedded-layer:${LAYERDIR}/dynamic-layers/openembedded-layer/*/*/*.bbappend \ openembedded-layer:${LAYERDIR}/dynamic-layers/openembedded-layer/*/*/*.bbappend \
meta-python:${LAYERDIR}/dynamic-layers/meta-python/*/*/*.bb \
meta-python:${LAYERDIR}/dynamic-layers/meta-python/*/*/*.bbappend \
" "
require ${LAYERDIR}/conf/include/maintainers.inc require ${LAYERDIR}/conf/include/maintainers.inc

31
dynamic-layers/meta-python/recipes-opencv/dldt/dldt-model-optimizer_2019r2.bb Normal file
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@ -0,0 +1,31 @@
SUMMARY = "OpenVINO Model Optimzer"
DESCRIPTION = "Model Optimizer is a cross-platform command-line tool that \
facilitates the transition between the training and deployment \
environment, performs static model analysis, and adjusts deep \
learning models for optimal execution on end-point target devices."
HOMEPAGE = "https://01.org/openvinotoolkit"
SRC_URI = "git://github.com/opencv/dldt.git;protocol=git;branch=2019 \
"
SRCREV = "ba6e22b1b5ee4cbefcc30e8d9493cddb0bb3dfdf"
LICENSE = "Apache-2.0"
LIC_FILES_CHKSUM = "file://LICENSE;md5=86d3f3a95c324c9479bd8986968f4327"
S = "${WORKDIR}/git"
do_install() {
mkdir -p ${D}${datadir}/openvino/model-optimizer
cp -r model-optimizer ${D}${datadir}/openvino/
}
RDEPENDS_${PN} += " \
python3-numpy \
python3-protobuf \
python3-defusedxml \
python3-networkx \
python3-test-generator \
bash \
"
FILES_${PN} += "${datadir}/openvino"