5 Commits

Author	SHA1	Message	Date
Anuj Mittal	39bbb90d27	dldt-model-optimizer: upgrade 2019r3.1 -> 2020r1 ... Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>	2020-04-14 10:53:06 +08:00
Ross Burton	c5b7c5baf7	vino: set CVE_PRODUCT ... Signed-off-by: Ross Burton <ross.burton@intel.com> Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>	2019-11-13 06:02:59 +08:00
Chin Huat Ang	09ba2ea7d2	dldt-model-optimizer: upgrade 2019r3 -> 2019r3.1 ... Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.com> Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>	2019-11-01 11:34:29 +08:00
Anuj Mittal	eacd8eb9f7	dldt-model-optimizer: upgrade 2019r2 -> 2019r3 ... For changes in this release, see: https://software.intel.com/en-us/articles/OpenVINO-RelNotes Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>	2019-10-25 10:06:32 +08:00
Anuj Mittal	7aef51c962	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>	2019-09-24 10:24:42 +08:00