openvino-model-optimizer 2021.3
| Name | openvino-model-optimizer |
|---|---|
| Version | 2021.3 (c5f7ad383e654dfb4a5ac0805323cf8d43426b3f) |
| 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_2021.3.bb |
| Layer | meta-intel (hardknott branch) |
| Inherits | |
| 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 |
|---|---|
| scarthgap (Yocto Project 5.0) | openvino-model-optimizer 2024.1.0 |
| nanbield (Yocto Project 4.3) | openvino-model-optimizer 2023.2.0 |
| 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 (this recipe) |
| gatesgarth (Yocto Project 3.2) | openvino-model-optimizer 2021.1 |