From 13f7333a13592f9780ac40ddbf3fad37365d56f4 Mon Sep 17 00:00:00 2001 From: msmykx <101244365+msmykx-intel@users.noreply.github.com> Date: Fri, 23 Aug 2024 13:13:29 +0200 Subject: [PATCH] Low Precision and Encrypted Model Update 1 --- docs/articles_en/documentation/openvino-security.rst | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/articles_en/documentation/openvino-security.rst b/docs/articles_en/documentation/openvino-security.rst index f9030232935b4e..2deebbc320f285 100644 --- a/docs/articles_en/documentation/openvino-security.rst +++ b/docs/articles_en/documentation/openvino-security.rst @@ -38,7 +38,7 @@ Encrypting and optimizing model before deploying it to the edge device can be us deep-learning models. The edge device should keep the stored model protected all the time and have the model decrypted **in runtime only** for use by the OpenVINO Runtime. -.. image:: ../../assets/images/deploy_encrypted_model.svg +.. image:: ../assets/images/deploy_encrypted_model.svg Loading Encrypted Models +++++++++++++++++++++++++++++++++++ @@ -69,8 +69,8 @@ Additional Resources #################### - Intel® Distribution of OpenVINO™ toolkit `home page `__. -- :doc:`Convert a Model <../legacy-features/transition-legacy-conversion-api/legacy-conversion-api>`. -- :doc:`OpenVINO™ Runtime User Guide <../../openvino-workflow/running-inference>`. -- For more information on Sample Applications, see the :doc:`OpenVINO Samples Overview <../../learn-openvino/openvino-samples>` -- For information on a set of pre-trained models, see the :doc:`Overview of OpenVINO™ Toolkit Pre-Trained Models <../../omz_models_group_intel>`. +- :doc:`Convert a Model `. +- :doc:`OpenVINO™ Runtime User Guide <../openvino-workflow/running-inference>`. +- For more information on Sample Applications, see the :doc:`OpenVINO Samples Overview <../learn-openvino/openvino-samples>` +- For information on a set of pre-trained models, see the :doc:`Overview of OpenVINO™ Toolkit Pre-Trained Models <../omz_models_group_intel>`. - For IoT Libraries and Code Samples, see the `Intel® IoT Developer Kit `__.