From 8fd4f9aee63692e74e78bb23280464e2ef5473b0 Mon Sep 17 00:00:00 2001 From: "Kang, Harim" Date: Wed, 19 Jun 2024 17:02:14 +0900 Subject: [PATCH] Refactor docs css & Add contents --- docs/source/_static/css/custom.css | 65 ++++++++++++++++++ docs/source/conf.py | 2 + .../auto_configuration.rst | 8 +++ .../source/guide/get_started/cli_commands.rst | 8 +++ .../source/guide/get_started/introduction.rst | 10 ++- docs/utils/images/auto_config.png | Bin 0 -> 1458705 bytes docs/utils/images/cli.png | Bin 0 -> 1353775 bytes docs/utils/images/diagram_otx.png | Bin 0 -> 1445278 bytes 8 files changed, 92 insertions(+), 1 deletion(-) create mode 100644 docs/utils/images/auto_config.png create mode 100644 docs/utils/images/cli.png create mode 100644 docs/utils/images/diagram_otx.png diff --git a/docs/source/_static/css/custom.css b/docs/source/_static/css/custom.css index 5b2fe2052fa..3e9dcdbd57d 100644 --- a/docs/source/_static/css/custom.css +++ b/docs/source/_static/css/custom.css @@ -68,6 +68,71 @@ --pst-icon-admonition-important: var(--pst-icon-exclamation-circle); } +/* Main Block Width to 90% */ +.bd-page-width { + width: 90%; +} + +@media (min-width: 960px) { + .bd-page-width { + max-width: 90%; + } +} + +/* Reduce Sidebar Width to 20% */ +.bd-sidebar-primary { + background-color: var(--pst-color-background); + border-right: 1px solid var(--pst-color-border); + /* display:flex; */ + flex: 0 0 20%; + flex-direction: column; + gap: 1rem; + max-height: calc(100vh - var(--pst-header-height)); + max-width: 20%; + overflow-y: auto; + padding: 2rem 1rem 1rem; + position: sticky; + top: var(--pst-header-height); +} + +/* Main Width to 100% */ +.bd-main .bd-content .bd-article-container { + display: flex; + flex-direction: column; + justify-content: start; + max-width: 100%; + overflow-x: auto; + padding: 1rem; + width: 100%; +} + +/* Hide Section Navigation Title */ +nav.bd-links p.bd-links__title { + display: none; +} + +/* Smaller current page side bar */ +.bd-sidebar-secondary { + background-color: var(--pst-color-background); + display: flex; + flex-direction: column; + flex-shrink: 0; + max-height: calc(100vh - var(--pst-header-height)); + order: 2; + overflow-y: auto; + padding: 2rem 1rem 1rem; + position: sticky; + top: var(--pst-header-height); + /* width:var(--pst-sidebar-secondary); */ +} + +/* Hide Search Button */ +@media (min-width: 960px) { + .navbar-persistent--container { + display: none; + } +} + .navbar { background: #0095ca !important; } diff --git a/docs/source/conf.py b/docs/source/conf.py index f0ef9058eba..a679c843358 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -71,6 +71,8 @@ html_theme_options = { "navbar_center": [], + "navbar_end": ["search-field.html", "theme-switcher.html", "navbar-icon-links.html"], + "search_bar_text": "Search", "logo": { "image_light": "logos/otx-logo.png", "image_dark": "logos/otx-logo.png", diff --git a/docs/source/guide/explanation/additional_features/auto_configuration.rst b/docs/source/guide/explanation/additional_features/auto_configuration.rst index 69b32974bab..1a0e6f0d446 100644 --- a/docs/source/guide/explanation/additional_features/auto_configuration.rst +++ b/docs/source/guide/explanation/additional_features/auto_configuration.rst @@ -1,6 +1,14 @@ Auto-configuration ================== +| + +.. figure:: ../../../../utils/images/auto_config.png + :align: center + :width: 100% + +| + Auto-configuration for a deep learning framework means the automatic finding of the most appropriate settings for the training parameters, based on the dataset and the specific task at hand. Auto-configuration can help to save time, it eases the process of interaction with OpenVINO™ Training Extensions and gives a better baseline for the given dataset. diff --git a/docs/source/guide/get_started/cli_commands.rst b/docs/source/guide/get_started/cli_commands.rst index a5eedc2baa5..0ea6d1ad479 100644 --- a/docs/source/guide/get_started/cli_commands.rst +++ b/docs/source/guide/get_started/cli_commands.rst @@ -9,6 +9,14 @@ All possible OpenVINO™ Training Extensions CLI commands are presented below al Also, by default, the OpenVINO™ Training Extensions CLI is written using jsonargparse, see jsonargparse or LightningCLI. Please refer `Jsonargparse Documentation `_ +| + +.. figure:: ../../../utils/images/cli.png + :align: center + :width: 100% + +| + ***** Help ***** diff --git a/docs/source/guide/get_started/introduction.rst b/docs/source/guide/get_started/introduction.rst index 418130ca337..056fa0bddab 100644 --- a/docs/source/guide/get_started/introduction.rst +++ b/docs/source/guide/get_started/introduction.rst @@ -9,12 +9,20 @@ Introduction **OpenVINO™ Training Extensions** is a low-code transfer learning framework for Computer Vision. -The CLI commands of the framework allows users to train, infer, optimize and deploy models easily and quickly even with low expertise in the deep learning field. OpenVINO™ Training Extensions offers diverse combinations of model architectures, learning methods, and task types based on `PyTorch `_ , `Lightning `_ and `OpenVINO™ toolkit `_. +The CLI commands of the framework or API allows users to train, infer, optimize and deploy models easily and quickly even with low expertise in the deep learning field. OpenVINO™ Training Extensions offers diverse combinations of model architectures, learning methods, and task types based on `PyTorch `_ , `Lightning `_ and `OpenVINO™ toolkit `_. OpenVINO™ Training Extensions provide `recipe `_ for every supported task type, which consolidates necessary information to build a model. Model templates are validated on various datasets and serve one-stop shop for obtaining the best models in general. If you are an experienced user, you can configure your own model based on `torchvision `_, `mmcv `_ and `OpenVINO Model Zoo (OMZ) `_ frameworks. Furthermore, OpenVINO™ Training Extensions provides :doc:`automatic configuration <../explanation/additional_features/auto_configuration>` of task types and hyperparameters. The framework will identify the most suitable recipe based on your dataset, and choose the best hyperparameter configuration. The development team is continuously extending functionalities to make training as simple as possible so that single CLI command can obtain accurate, efficient and robust models ready to be integrated into your project. +| + +.. figure:: ../../../utils/images/diagram_otx.png + :align: center + :width: 100% + +| + ************ Key Features ************ diff --git a/docs/utils/images/auto_config.png b/docs/utils/images/auto_config.png new file mode 100644 index 0000000000000000000000000000000000000000..2e514745a3d030dcf3e9497f957840392db2a2c1 GIT binary patch literal 1458705 zcmeFZd011|+CGf6m2-{??Q2B^g(?>605~BsMvD{5paOyniHfL*Br=alv{q3OQ4vuY zBFc;q5g~?<#8x39LS&4RK$IyaA&Cq-AqhMARsz_bx959**Lz*xKi}`_z8uKF-fKPU zS@&~4)4IIReb@Yd8U9O0M`ymv?(GM3bo3z|ojFJTF$cV(LYut-|ILa#uT{ayAMU`=xlhd`8(^UV}5KM9d&`r_HABq$l)H{J1c|V z7ay6uc-`{w_jPOcuTNRo_=D}`uN!S2u55JK{`L3kboLya6}dglmiOx~D;l$3V1C|F z|2$D3EXggmpo#gpPd%x!$UxcM_jd*R90OH6p&%1?XQj){l`d`fWhI^})V!M!B<*YP 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