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 BBLAYERS_DYNAMIC. Signed-off-by: Anuj Mittal <[email protected]> --- conf/layer.conf | 5 ++-- .../dldt/dldt-model-optimizer_2019r2.bb | 29 +++++++++++++++++++ 2 files changed, 31 insertions(+), 3 deletions(-) create mode 100644 dynamic-layers/meta-python/recipes-opencv/dldt/dldt-model-optimizer_2019r2.bb diff --git a/conf/layer.conf b/conf/layer.conf index e5bd2189..ac7c8f97 100644 --- a/conf/layer.conf +++ b/conf/layer.conf @@ -23,11 +23,10 @@ LAYERSERIES_COMPAT_intel = "thud warrior" BBFILES_DYNAMIC += " \ clang-layer:${LAYERDIR}/dynamic-layers/clang-layer/*/*/*.bb \ clang-layer:${LAYERDIR}/dynamic-layers/clang-layer/*/*/*.bbappend \ -" - -BBFILES_DYNAMIC += " \ openembedded-layer:${LAYERDIR}/dynamic-layers/openembedded-layer/*/*/*.bb \ openembedded-layer:${LAYERDIR}/dynamic-layers/openembedded-layer/*/*/*.bbappend \ + meta-python:${LAYERDIR}/dynamic-layers/meta-python/*/*/*.bb \ + meta-python:${LAYERDIR}/dynamic-layers/meta-python/*/*/*.bbappend \ " require ${LAYERDIR}/conf/include/maintainers.inc diff --git a/dynamic-layers/meta-python/recipes-opencv/dldt/dldt-model-optimizer_2019r2.bb b/dynamic-layers/meta-python/recipes-opencv/dldt/dldt-model-optimizer_2019r2.bb new file mode 100644 index 00000000..a689fa9b --- /dev/null +++ b/dynamic-layers/meta-python/recipes-opencv/dldt/dldt-model-optimizer_2019r2.bb @@ -0,0 +1,29 @@ +SUMMARY = "OpenVINO Model Optimzer" +DESCRIPTION = "Model Optimizer is a cross-platform command-line tool that \ +facilitates the transition between the training and deployment \ +environment, performs static model analysis, and adjusts deep \ +learning models for optimal execution on end-point target devices." +HOMEPAGE = "https://01.org/openvinotoolkit"; + +SRC_URI = "git://github.com/opencv/dldt.git;protocol=git;branch=2019 \ + " +SRCREV = "ba6e22b1b5ee4cbefcc30e8d9493cddb0bb3dfdf" + +LICENSE = "Apache-2.0" +LIC_FILES_CHKSUM = "file://LICENSE;md5=86d3f3a95c324c9479bd8986968f4327" + +S = "${WORKDIR}/git" + +do_install() { + mkdir -p ${D}${datadir}/openvino/model-optimizer + cp -r model-optimizer/mo/* ${D}${datadir}/openvino/model-optimizer/ +} + +RDEPENDS_${PN} += " \ + python3-numpy \ + python3-protobuf \ + python3-defusedxml \ + python3-networkx \ + " + +FILES_${PN} += "${datadir}/openvino" -- 2.21.0 -- _______________________________________________ meta-intel mailing list [email protected] https://lists.yoctoproject.org/listinfo/meta-intel
