dldt-model-optimizer: add recipe

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>

1 files changed, 31 insertions, 0 deletions

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..0a622ca6
--- /dev/null
+++ b/dynamic-layers/meta-python/recipes-opencv/dldt/dldt-model-optimizer_2019r2.bb
@@ -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"