[no description] https://git.enea.com/cgit/linux/meta-intel.git/atom?h=12.3-zeus-3.0.4 2019-11-28T22:41:59+00:00 2019-11-28T22:41:59+00:00 Ross Burton ross.burton@intel.com 2019-11-12T16:13:28+00:00 urn:sha1:24eb018de45983e45363679e0435d7f213e200f3 Signed-off-by: Ross Burton <ross.burton@intel.com> Signed-off-by: Anuj Mittal <anuj.mittal@intel.com> 2019-11-28T22:41:59+00:00 Chin Huat Ang chin.huat.ang@intel.com 2019-11-01T03:24:28+00:00 urn:sha1:b7bfdc347c1ed477e7842354d0ab5b8e2d76775a Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.com> Signed-off-by: Anuj Mittal <anuj.mittal@intel.com> 2019-10-25T02:06:32+00:00 Anuj Mittal anuj.mittal@intel.com 2019-10-24T14:56:39+00:00 urn:sha1:eacd8eb9f762c90cec2825736e8c4d483966c4d4 For changes in this release, see: https://software.intel.com/en-us/articles/OpenVINO-RelNotes Signed-off-by: Anuj Mittal <anuj.mittal@intel.com> 2019-09-24T02:24:42+00:00 Anuj Mittal anuj.mittal@intel.com 2019-09-11T14:00:04+00:00 urn:sha1:7aef51c962c023f27e3fcda4c2419f1ced9942b9 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>