DOCS homepage update (#17842)
This commit is contained in:
Karol Blaszczak
GitHub
182
docs/_static/css/homepage_style.css
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182
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@@ -1,102 +1,118 @@
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/* overrides */
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.switcher-set, .prev-next-bottom {display: none;}
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.switcher-set, .prev-next-bottom, .bd-toc {display: none!important;}
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#openvino-documentation > h1 {
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display: none;
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display: none;
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}
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img {
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cursor: default;
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cursor: default;
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}
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/* === OPENVINO INTRO ================================================= */
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.openvino-intro-text {
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font-size: 1em;
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h1 {
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font-size: var(--pst-font-size-h2);
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margin-bottom: 3rem;
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}
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/* === OPENVINO DIAGRAM ================================================= */
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@media only screen and (min-width: 1100px) {
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.openvino-diagram {
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width: 70%;
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}
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}
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@media only screen and (max-width: 1099px) {
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.openvino-diagram {
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width: 100%;
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}
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}
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/* === PANELS ================================================= */
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.homepage-panels {
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background: #0068B5;
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border: none!important;
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border-radius: 0!important;
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#ov-homepage-banner, .openvino-diagram, .ov-homepage-higlight-grid {
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margin-bottom: 90px!important;
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}
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.homepage-panels p.card-text {
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color:white;
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#ov-homepage-banner {
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/*border: 1px solid var(--sd-color-primary);*/
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padding: 1rem;
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background-color: #76CEFF;
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background-image: linear-gradient(346deg, #728EFA 0%, #76CEFF 50%, #BBE8BD 100%);
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}
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.homepage-panels p:first-of-type {
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border-bottom: 1px solid white;
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#ov-homepage-banner p:first-of-type {
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margin-top: 0;
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margin-bottom: 3rem;
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box-sizing: border-box;
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color: rgb(38, 38, 38);
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display: block;
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font-family: sans-serif;
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font-size: 36px;
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font-weight: 400;
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line-height: 41.4px;
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text-align: left;
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}
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/* === OV workflow chart ===================================================== */
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#hp-flow-container {
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margin: 0 auto;
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width: 90%;
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#ov-homepage-banner .line-block {
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text-align: center;
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padding-left: 30%;
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color: #4000b7;;
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}
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#hp-flow-container div {
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margin: 0;
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float: left;
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.ov-homepage-banner-btn {
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transition: 0.7s;
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background-color: var(--sd-color-primary);
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margin-left: 2rem;
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color: white!important;
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}
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div.hp-flow-arrow {
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width: 5%;
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div.hp-flow-btn {
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width: 30%;
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background-repeat: no-repeat;
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.openvino-diagram {
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margin-bottom: 3rem;
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}
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#hp-flow-container div.hp-flow-btn:nth-of-type(1) {
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background-image: url("../images/OV_flow_model.svg");
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.ov-homepage-higlight-grid {
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padding: 0;
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}
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#hp-flow-container div.hp-flow-btn:nth-of-type(3) {
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background-image: url("../images/OV_flow_optimization.svg");
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.ov-homepage-higlight-grid > div {
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justify-content:space-evenly;
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row-gap: 20px;
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}
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#hp-flow-container div.hp-flow-btn:nth-of-type(5) {
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background-image: url("../images/OV_flow_deployment.svg");
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.ov-homepage-higlight-grid > div > div.sd-col {
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width: 230px;
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min-height: 300px;
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padding: 0;
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margin-inline: 5px;
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}
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div.hp-flow-btn a img {
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width: 100%;
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visibility: hidden;
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.ov-homepage-higlight-grid .sd-card {
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box-shadow: 0 0 20px 5px #f3f3f3!important;
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overflow: hidden;
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}
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div.hp-flow-btn:hover a img {
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visibility: visible;
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.ov-homepage-higlight-grid .sd-card-title {
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.ov-homepage-higlight-grid .sd-card-text {
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.ov-homepage-higlight-grid .sd-card::after {
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align-self: flex-end;
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display: block;
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content: "LEARN MORE";
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width: 100%;
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font-size: 0.8rem;
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text-align: center;
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padding-top: 0.8rem;
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font-weight: 600;
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color: #00A3F6;
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}
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.ov-homepage-feature-grid .sd-col {
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padding: 0;
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.ov-homepage-feature-grid .sd-card {
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/* box-shadow: none!important; */
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}
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.ov-homepage-feature-grid .sd-row {
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gap: 1rem;
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justify-content: center;
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}
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/* =================================================================== */
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@media only screen and (max-width: 500px) {
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#hp-flow-container div {
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float: none;
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margin: 0 auto;
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}
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div.hp-flow-arrow {
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display: none;
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}
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div.hp-flow-btn {
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width: 50%;
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}
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}
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/* @media screen and (min-width: 720px) {
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main.col-xl-7.bd-content {
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flex: 0 0 75%!important;
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max-width: 75%!important;
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}
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}*/
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@media screen and (max-width: 535px) {
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.ov-homepage-feature-grid .sd-row {
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flex-direction: column;
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align-items: center;
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}
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.ov-homepage-feature-grid .sd-col {
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max-width: 100%;
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}
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}
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.. meta::
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:google-site-verification: _YqumYQ98cmXUTwtzM_0WIIadtDc6r_TMYGbmGgNvrk
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.. rst-class:: openvino-intro-text
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OpenVINO is an open-source toolkit for optimizing and deploying deep learning models. It provides boosted deep learning performance for vision, audio, and language models from popular frameworks like TensorFlow, PyTorch, and more. `Get started with OpenVINO. <get_started.html>`__
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.. rst-class:: openvino-diagram
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.. image:: _static/images/openvino_diagram.svg
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:align: center
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Overview
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~~~~~~~~
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OpenVINO enables you to optimize deep learning models from almost any framework and deploy them with best-in-class performance on a range of Intel hardware.
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A typical workflow with OpenVINO:
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.. container:: section
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:name: welcome-to-openvino-toolkit-s-documentation
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.. container::
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:name: hp-flow-container
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.. container:: hp-flow-btn
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.. image:: _static/images/OV_flow_model_hvr.svg
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:alt: link to model processing introduction
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:target: openvino_docs_model_processing_introduction.html
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.. container:: hp-flow-arrow
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.. image:: _static/images/OV_flow_arrow.svg
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.. container:: hp-flow-btn
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.. image:: _static/images/OV_flow_optimization_hvr.svg
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:alt: link to an optimization guide
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:target: openvino_docs_model_optimization_guide.html
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.. container:: hp-flow-arrow
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.. image:: _static/images/OV_flow_arrow.svg
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.. container:: hp-flow-btn
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.. image:: _static/images/OV_flow_deployment_hvr.svg
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:alt: link to deployment introduction
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:target: openvino_docs_deployment_guide_introduction.html
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.. raw:: html
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<link rel="stylesheet" type="text/css" href="_static/css/homepage_style.css">
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High-Performance Deep Learning
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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OpenVINO Runtime automatically optimizes deep learning pipelines using aggressive graph fusion, memory reuse, load balancing, and inference parallelism across CPU, GPU, and more.
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You can integrate and offload to accelerators additional operations for pre- and post-processing to reduce end-to-end latency and improve throughput.
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Model Quantization and Compression
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.. container::
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:name: ov-homepage-banner
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OpenVINO 2023.0
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| An open-source toolkit for optimizing and deploying deep learning models.
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| Boost your AI deep-learning inference performance!
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.. button-ref:: get_started
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:ref-type: doc
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:class: ov-homepage-banner-btn
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:color: primary
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:outline:
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GET STARTED
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.. rst-class:: openvino-diagram
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.. image:: _static/images/ov_homepage_diagram.png
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:align: center
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.. grid:: 2 2 3 3
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:class-container: ov-homepage-higlight-grid
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.. grid-item-card:: Performance Benchmarks
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:link: openvino_docs_performance_benchmarks
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:link-alt: performance benchmarks
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:link-type: doc
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See latest benchmark numbers for OpenVINO and OpenVINO Model Server
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.. grid-item-card:: Flexible Workflow
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:link: Supported_Model_Formats
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:link-alt: Supported Model Formats
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:link-type: doc
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Load models directly (for TensorFlow, ONNX, PaddlePaddle) or convert to the OpenVINO format.
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.. grid-item-card:: Run Inference
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:link: openvino_docs_OV_UG_Integrate_OV_with_your_application
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:link-alt: integrating OpenVINO with your app
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:link-type: doc
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Get results in just a few lines of code
|
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.. grid-item-card:: Deploy at Scale With OpenVINO Model Server
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:link: ovms_what_is_openvino_model_server
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:link-alt: model server
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:link-type: doc
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Cloud-ready deployments for microservice applications
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.. grid-item-card:: Model Optimization
|
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:link: openvino_docs_model_optimization_guide
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:link-alt: model optimization
|
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:link-type: doc
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Reach for performance with post-training and training-time compression with NNCF
|
||||
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||||
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Feature Overview
|
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Boost your model’s speed even further with quantization and other state-of-the-art compression techniques available in OpenVINO’s Neural Network Compression Framework. These techniques also reduce your model size and memory requirements, allowing it to be deployed on resource-constrained edge hardware.
|
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.. grid:: 1 2 2 2
|
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:class-container: ov-homepage-feature-grid
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.. panels::
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:card: homepage-panels
|
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.. grid-item-card:: Local Inference & Model Serving
|
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|
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**Local Inferencing & Model Serving**
|
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You can either link directly with OpenVINO Runtime to run inference locally or use OpenVINO Model Server
|
||||
to serve model inference from a separate server or within Kubernetes environment
|
||||
|
||||
You can either link directly with OpenVINO Runtime to run inference locally or use OpenVINO Model Serving to serve model inference from separate server or within Kubernetes environment
|
||||
.. grid-item-card:: Improved Application Portability
|
||||
|
||||
---
|
||||
Write an application once, deploy it anywhere, achieving maximum performance from hardware. Automatic device
|
||||
discovery allows for superior deployment flexibility. OpenVINO Runtime supports Linux, Windows and MacOS and
|
||||
provides Python, C++ and C API. Use your preferred language and OS.
|
||||
|
||||
**Improved Application Portability**
|
||||
.. grid-item-card:: Minimal External Dependencies
|
||||
|
||||
Write an application once, deploy it anywhere, achieving maximum performance from hardware. Automatic device discovery allows for superior deployment flexibility. OpenVINO Runtime supports Linux, Windows and MacOS and provides Python, C++ and C API. Use your preferred language and OS.
|
||||
Designed with minimal external dependencies reduces the application footprint, simplifying installation and
|
||||
dependency management. Popular package managers enable application dependencies to be easily installed and
|
||||
upgraded. Custom compilation for your specific model(s) further reduces final binary size.
|
||||
|
||||
---
|
||||
.. grid-item-card:: Enhanced App Start-Up Time
|
||||
|
||||
**Minimal External Dependencies**
|
||||
|
||||
Designed with minimal external dependencies reduces the application footprint, simplifying installation and dependency management. Popular package managers enable application dependencies to be easily installed and upgraded. Custom compilation for your specific model(s) further reduces final binary size.
|
||||
|
||||
---
|
||||
|
||||
**Enhanced App Start-Up Time**
|
||||
|
||||
In applications where fast start-up is required, OpenVINO significantly reduces first-inference latency by using the CPU for initial inference and then switching to another device once the model has been compiled and loaded to memory. Compiled models are cached improving start-up time even more.
|
||||
In applications where fast start-up is required, OpenVINO significantly reduces first-inference latency by using the
|
||||
CPU for initial inference and then switching to another device once the model has been compiled and loaded to memory.
|
||||
Compiled models are cached improving start-up time even more.
|
||||
|
||||
|
||||
Supported Devices
|
||||
~~~~~~~~~~~~~~~~~
|
||||
|
||||
OpenVINO is supported on a wide range of hardware platforms.
|
||||
|
||||
`Visit the Supported Devices page for a full list of OpenVINO-compatible platforms. <openvino_docs_OV_UG_supported_plugins_Supported_Devices.html>`__
|
||||
|
||||
Check the `Performance Benchmarks <openvino_docs_performance_benchmarks.html>`__ page to see how fast OpenVINO runs popular models on a variety of processors. OpenVINO supports deployment on Windows, Linux, and macOS.
|
||||
|
||||
.. image:: _static/images/supported_devices.png
|
||||
:width: 70%
|
||||
:align: center
|
||||
|
||||
|
||||
Get Started
|
||||
~~~~~~~~~~~
|
||||
|
||||
`Visit the Get Started Guide to learn the basics of OpenVINO and explore its features with quick start examples. <get_started.html>`__
|
||||
|
||||
|
||||
.. toctree::
|
||||
@@ -127,4 +129,4 @@ Get Started
|
||||
DOCUMENTATION <documentation>
|
||||
MODEL ZOO <model_zoo>
|
||||
RESOURCES <resources>
|
||||
RELEASE NOTES <https://software.intel.com/content/www/us/en/develop/articles/openvino-relnotes.html>
|
||||
RELEASE NOTES <https://software.intel.com/content/www/us/en/develop/articles/openvino-relnotes.html>
|
||||
@@ -17,7 +17,6 @@
|
||||
<link rel="stylesheet" href="{{ pathto('_static/css/input.css', 1) }}" type="text/css" />
|
||||
<link rel="stylesheet" href="{{ pathto('_static/css/textfield.css', 1) }}" type="text/css" />
|
||||
<link rel="stylesheet" href="{{ pathto('_static/css/tabs.css', 1) }}" type="text/css" />
|
||||
<link rel="stylesheet" href="_static/css/homepage_style.css" type="text/css" />
|
||||
<script src="{{ pathto('_static/js/openvino_sphinx_theme.js', 1) }}"></script>
|
||||
<script src="{{ pathto('_static/js/sortable_tables.js', 1) }}"></script>
|
||||
{% endblock %}
|
||||
|
||||
Reference in New Issue
Block a user