openvino-model-optimizer 2023.2.0
Name | openvino-model-optimizer |
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Version | 2023.2.0 (cfd42bd2cb033929dd1858df3760bf23d967adac) |
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/openvino-model-optimizer_2023.2.0.bb |
Layer | meta-intel (nanbield branch) |
Inherits |
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Dependencies |
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PACKAGECONFIG options |
Sources
git://github.com/openvinotoolkit/openvino.git |
Patches
None
Other branches
This recipe in other branches of meta-intel:
Branch | Recipe |
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scarthgap (Yocto Project 5.0) | openvino-model-optimizer 2024.1.0 |
nanbield (Yocto Project 4.3) | openvino-model-optimizer 2023.2.0 (this recipe) |
mickledore (Yocto Project 4.2) | openvino-model-optimizer 2022.3.0 |
langdale (Yocto Project 4.1) | openvino-model-optimizer 2022.2.0 |
kirkstone (Yocto Project 4.0) | openvino-model-optimizer 2022.1 |
honister (Yocto Project 3.4) | openvino-model-optimizer 2021.4.1 |
hardknott (Yocto Project 3.3) | openvino-model-optimizer 2021.3 |
gatesgarth (Yocto Project 3.2) | openvino-model-optimizer 2021.1 |