Commit message (Collapse) | Author | Age | Files | Lines | |
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* | dldt-model-optimizer: upgrade 2019r3 -> 2019r3.1 | Chin Huat Ang | 2019-11-29 | 1 | -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 -> 2019r3 | Anuj Mittal | 2019-10-25 | 1 | -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 recipe | Anuj Mittal | 2019-09-24 | 1 | -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> |