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authorAnuj Mittal <anuj.mittal@intel.com>2019-09-11 22:00:04 +0800
committerAnuj Mittal <anuj.mittal@intel.com>2019-09-24 10:24:42 +0800
commit7aef51c962c023f27e3fcda4c2419f1ced9942b9 (patch)
tree3467940f052b4a8c154e18af31dd80ff99b85397 /dynamic-layers/openembedded-layer/recipes-support
parent70d414ce566d07f1fe09ccf7e945ce42c1e73dd9 (diff)
downloadmeta-intel-7aef51c962c023f27e3fcda4c2419f1ced9942b9.tar.gz
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>
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