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* vino: set CVE_PRODUCTRoss Burton2019-11-131-0/+2
| | | | | Signed-off-by: Ross Burton <ross.burton@intel.com> Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
* dldt-model-optimizer: upgrade 2019r3 -> 2019r3.1Chin Huat Ang2019-11-011-1/+1
| | | | | Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.com> Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
* dldt-model-optimizer: upgrade 2019r2 -> 2019r3Anuj Mittal2019-10-251-1/+1
| | | | | | | For changes in this release, see: https://software.intel.com/en-us/articles/OpenVINO-RelNotes Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
* dldt-model-optimizer: add recipeAnuj Mittal2019-09-241-0/+31
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>