[meta-intel] [PATCH] dldt-model-optimizer: add recipe

[Anuj Mittal]

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 <anuj.mittal at intel.com>
---
 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