dldt-model-optimizer 2019r3.1
| Name | dldt-model-optimizer |
|---|---|
| Version | 2019r3.1 (fe3f978b98c86eaeed3cbdc280e1ffd0bc50d278) |
| Summary | OpenVINO Model Optimzer |
| Description | 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. |
| Section | base |
| License | Apache-2.0 |
| Homepage | https://01.org/openvinotoolkit |
| Recipe file | dynamic-layers/meta-python/recipes-opencv/dldt/dldt-model-optimizer_2019r3.1.bb |
| Layer | meta-intel (zeus branch) |
| Inherits | |
| Dependencies | |
| PACKAGECONFIG options |
Sources
| git://github.com/opencv/dldt.git |
Patches
None
Other branches
This recipe in other branches of meta-intel:
| Branch | Recipe |
|---|---|
| dunfell (Yocto Project 3.1) | dldt-model-optimizer 2020r1 |
| zeus (Yocto Project 3.0) | dldt-model-optimizer 2019r3.1 (this recipe) |