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Signed-off-by: Ross Burton <ross.burton@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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For changes in this release, see:
https://software.intel.com/en-us/articles/OpenVINO-RelNotes
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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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>
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