{"id":1513,"date":"2024-10-08T17:12:29","date_gmt":"2024-10-08T09:12:29","guid":{"rendered":"http:\/\/110.42.248.92\/onsite-learning-center\/?page_id=1513"},"modified":"2025-03-12T16:22:26","modified_gmt":"2025-03-12T08:22:26","slug":"%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5-%e8%af%ad%e4%b9%89%e5%88%86%e5%89%b2","status":"publish","type":"page","link":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5-%e8%af%ad%e4%b9%89%e5%88%86%e5%89%b2\/","title":{"rendered":"Start - Perception - Semantic Segmentation"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_4 1_4 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:25%;--awb-margin-top-large:0px;--awb-spacing-right-large:7.68%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:7.68%;--awb-width-medium:25%;--awb-order-medium:0;--awb-spacing-right-medium:7.68%;--awb-spacing-left-medium:7.68%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\"><\/div><nav class=\"awb-menu awb-menu_column awb-menu_em-click mobile-mode-collapse-to-button awb-menu_icons-left awb-menu_dc-yes mobile-trigger-fullwidth-off awb-menu_mobile-toggle mobile-size-full-absolute loading mega-menu-loading awb-menu_desktop awb-menu_v-stacked awb-submenu_cm_accordion\" style=\"--awb-line-height:var(--awb-typography3-line-height);--awb-margin-top:80px;--awb-margin-bottom:80px;--awb-text-transform:var(--awb-typography3-text-transform);--awb-bg:hsla(var(--awb-color5-h),var(--awb-color5-s),var(--awb-color5-l),calc(var(--awb-color5-a) - 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98%));--awb-mobile-trigger-font-size:22px;--awb-mobile-trigger-color:var(--awb-color8);--awb-mobile-nav-trigger-bottom-margin:10px;--awb-mobile-font-size:var(--awb-typography3-font-size);--awb-mobile-text-transform:var(--awb-typography3-text-transform);--awb-mobile-line-height:var(--awb-typography3-line-height);--awb-mobile-letter-spacing:var(--awb-typography3-letter-spacing);--awb-mobile-justify:center;--awb-mobile-caret-left:auto;--awb-mobile-caret-right:0;--awb-box-shadow: 0px 0px ;;--awb-fusion-font-family-typography:var(--awb-typography3-font-family);--awb-fusion-font-weight-typography:var(--awb-typography3-font-weight);--awb-fusion-font-style-typography:var(--awb-typography3-font-style);--awb-fusion-font-family-submenu-typography:var(--awb-typography5-font-family);--awb-fusion-font-weight-submenu-typography:var(--awb-typography5-font-weight);--awb-fusion-font-style-submenu-typography:var(--awb-typography5-font-style);--awb-fusion-font-family-mobile-typography:var(--awb-typography3-font-family);--awb-fusion-font-weight-mobile-typography:var(--awb-typography3-font-weight);--awb-fusion-font-style-mobile-typography:var(--awb-typography3-font-style);\" aria-label=\"Quick Start\" data-breakpoint=\"640\" data-count=\"0\" data-transition-type=\"fade\" data-transition-time=\"300\"><button type=\"button\" class=\"awb-menu__m-toggle\" aria-expanded=\"false\" aria-controls=\"menu-%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\"><span class=\"awb-menu__m-toggle-inner\"><span class=\"collapsed-nav-text\">Menu<\/span><span class=\"awb-menu__m-collapse-icon\"><span class=\"awb-menu__m-collapse-icon-open fa-bars fas\"><\/span><span class=\"awb-menu__m-collapse-icon-close fa-times fas\"><\/span><\/span><\/span><\/button><ul id=\"menu-%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\" class=\"fusion-menu awb-menu__main-ul awb-menu__main-ul_column\"><li  id=\"menu-item-898\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-has-children menu-item-898 awb-menu__li awb-menu__main-li awb-menu__main-li_regular\"  data-item-id=\"898\"><span class=\"awb-menu__main-background-default awb-menu__main-background-default_fade\"><\/span><span class=\"awb-menu__main-background-active awb-menu__main-background-active_fade\"><\/span><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5\/\" class=\"awb-menu__main-a awb-menu__main-a_regular\"><span class=\"menu-text\">Perception<\/span><\/a><button type=\"button\" aria-label=\"Open submenu of Perception\" aria-expanded=\"false\" class=\"awb-menu__open-nav-submenu_mobile awb-menu__open-nav-submenu_click awb-menu__open-nav-submenu_main awb-menu__open-nav-submenu_needs-spacing\"><\/button><ul class=\"awb-menu__sub-ul awb-menu__sub-ul_main\"><li  id=\"menu-item-1537\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1537 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5-%e8%af%ad%e4%b9%89%e5%88%86%e5%89%b2\/\" class=\"awb-menu__sub-a\"><span>Code-Semantic Segmentation<\/span><\/a><\/li><li  id=\"menu-item-1535\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1535 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5-%e6%b7%b1%e5%ba%a6%e4%bc%b0%e8%ae%a1\/\" class=\"awb-menu__sub-a\"><span>Code - Depth Estimation<\/span><\/a><\/li><li  id=\"menu-item-1533\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1533 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5-2d%e7%9b%ae%e6%a0%87%e6%a3%80%e6%b5%8b\/\" class=\"awb-menu__sub-a\"><span>Code-2D Object Detection<\/span><\/a><\/li><li  id=\"menu-item-1566\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1566 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5-%e7%9b%ae%e6%a0%87%e8%bf%bd%e8%b8%aa\/\" class=\"awb-menu__sub-a\"><span>Code - Goal Tracking<\/span><\/a><\/li><\/ul><\/li><li  id=\"menu-item-1473\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-has-children menu-item-1473 awb-menu__li awb-menu__main-li awb-menu__main-li_regular\"  data-item-id=\"1473\"><span class=\"awb-menu__main-background-default awb-menu__main-background-default_fade\"><\/span><span class=\"awb-menu__main-background-active awb-menu__main-background-active_fade\"><\/span><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e9%a2%84%e6%b5%8b\/\" class=\"awb-menu__main-a awb-menu__main-a_regular\"><span class=\"menu-text\">Prediction<\/span><\/a><button type=\"button\" aria-label=\"Open submenu of Prediction\" aria-expanded=\"false\" class=\"awb-menu__open-nav-submenu_mobile awb-menu__open-nav-submenu_click awb-menu__open-nav-submenu_main awb-menu__open-nav-submenu_needs-spacing\"><\/button><ul class=\"awb-menu__sub-ul awb-menu__sub-ul_main\"><li  id=\"menu-item-1926\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1926 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e9%a2%84%e6%b5%8b\/%e5%bc%80%e5%a7%8b-%e9%a2%84%e6%b5%8b-%e8%bd%a8%e8%bf%b9%e9%a2%84%e6%b5%8b%ef%bc%9a%e5%8d%95%e8%bd%a6%e5%8d%95%e6%a8%a1%e6%80%81%e8%bd%a6%e8%bd%a8%e8%bf%b9%e9%a2%84%e6%b5%8b\/\" class=\"awb-menu__sub-a\"><span>Code \u2013 bicycle trajectory prediction<\/span><\/a><\/li><li  id=\"menu-item-1545\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1545 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e9%a2%84%e6%b5%8b\/%e5%bc%80%e5%a7%8b-%e9%a2%84%e6%b5%8b-vru%e8%bd%a8%e8%bf%b9%e9%a2%84%e6%b5%8b\/\" class=\"awb-menu__sub-a\"><span>Code-VRU trajectory prediction<\/span><\/a><\/li><li  id=\"menu-item-1658\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1658 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e9%a2%84%e6%b5%8b\/%e5%bc%80%e5%a7%8b-%e9%a2%84%e6%b5%8b-%e6%9c%ba%e5%8a%a8%e8%bd%a6%e8%bd%a8%e8%bf%b9%e9%a2%84%e6%b5%8b-cloned\/\" class=\"awb-menu__sub-a\"><span>Code-Multi-vehicle trajectory prediction<\/span><\/a><\/li><\/ul><\/li><li  id=\"menu-item-897\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-has-children menu-item-897 awb-menu__li awb-menu__main-li awb-menu__main-li_regular\"  data-item-id=\"897\"><span class=\"awb-menu__main-background-default awb-menu__main-background-default_fade\"><\/span><span class=\"awb-menu__main-background-active awb-menu__main-background-active_fade\"><\/span><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e8%a7%84%e5%88%92-%e5%86%b3%e7%ad%96\/\" class=\"awb-menu__main-a awb-menu__main-a_regular\"><span class=\"menu-text\">Decision\/Planning Problems<\/span><\/a><button type=\"button\" aria-label=\"Open submenu of Decision\/Planning Problems\" aria-expanded=\"false\" class=\"awb-menu__open-nav-submenu_mobile awb-menu__open-nav-submenu_click awb-menu__open-nav-submenu_main awb-menu__open-nav-submenu_needs-spacing\"><\/button><ul class=\"awb-menu__sub-ul awb-menu__sub-ul_main\"><li  id=\"menu-item-1530\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1530 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e8%a7%84%e5%88%92-%e5%86%b3%e7%ad%96\/%e5%bc%80%e5%a7%8b-%e5%86%b3%e7%ad%96-%e8%a7%84%e5%88%92-%e8%a1%8c%e4%b8%ba%e5%86%b3%e7%ad%96\/\" class=\"awb-menu__sub-a\"><span>Code-Bike Decisions<\/span><\/a><\/li><li  id=\"menu-item-1742\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1742 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e8%a7%84%e5%88%92-%e5%86%b3%e7%ad%96\/%e5%bc%80%e5%a7%8b-%e5%86%b3%e7%ad%96-%e8%a7%84%e5%88%92-%e5%8d%8f%e5%90%8c%e5%86%b3%e7%ad%96\/\" class=\"awb-menu__sub-a\"><span>Code - Collaborative Decision Making<\/span><\/a><\/li><li  id=\"menu-item-1532\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1532 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e8%a7%84%e5%88%92-%e5%86%b3%e7%ad%96\/%e5%bc%80%e5%a7%8b-%e5%86%b3%e7%ad%96-%e8%a7%84%e5%88%92-%e8%bf%90%e5%8a%a8%e8%a7%84%e5%88%92\/\" class=\"awb-menu__sub-a\"><span>Code-Motion Planning<\/span><\/a><\/li><\/ul><\/li><li  id=\"menu-item-899\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-has-children menu-item-899 awb-menu__li awb-menu__main-li awb-menu__main-li_regular\"  data-item-id=\"899\"><span class=\"awb-menu__main-background-default awb-menu__main-background-default_fade\"><\/span><span class=\"awb-menu__main-background-active awb-menu__main-background-active_fade\"><\/span><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%8e%a7%e5%88%b6\/\" class=\"awb-menu__main-a awb-menu__main-a_regular\"><span class=\"menu-text\">Control<\/span><\/a><button type=\"button\" aria-label=\"Open submenu of Control\" aria-expanded=\"false\" class=\"awb-menu__open-nav-submenu_mobile awb-menu__open-nav-submenu_click awb-menu__open-nav-submenu_main awb-menu__open-nav-submenu_needs-spacing\"><\/button><ul class=\"awb-menu__sub-ul awb-menu__sub-ul_main\"><li  id=\"menu-item-1538\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1538 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%8e%a7%e5%88%b6\/%e5%bc%80%e5%a7%8b-%e6%8e%a7%e5%88%b6-%e6%a8%aa%e5%90%91%e6%8e%a7%e5%88%b6\/\" class=\"awb-menu__sub-a\"><span>Code - Horizontal Control<\/span><\/a><\/li><li  id=\"menu-item-1539\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1539 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%8e%a7%e5%88%b6\/%e5%bc%80%e5%a7%8b-%e6%8e%a7%e5%88%b6-%e7%ba%b5%e5%90%91%e6%8e%a7%e5%88%b6\/\" class=\"awb-menu__sub-a\"><span>Code-vertical control<\/span><\/a><\/li><li  id=\"menu-item-1540\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1540 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%8e%a7%e5%88%b6\/%e5%bc%80%e5%a7%8b-%e6%8e%a7%e5%88%b6-%e8%80%a6%e5%90%88%e6%8e%a7%e5%88%b6\/\" class=\"awb-menu__sub-a\"><span>Code-coupling control<\/span><\/a><\/li><\/ul><\/li><li  id=\"menu-item-2558\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-2558 awb-menu__li awb-menu__main-li awb-menu__main-li_regular\"  data-item-id=\"2558\"><span class=\"awb-menu__main-background-default awb-menu__main-background-default_fade\"><\/span><span class=\"awb-menu__main-background-active awb-menu__main-background-active_fade\"><\/span><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e7%ab%af%e5%88%b0%e7%ab%af\/\" class=\"awb-menu__main-a awb-menu__main-a_regular\"><span class=\"menu-text\">End-to-End Autonomous Driving<\/span><\/a><\/li><\/ul><\/nav><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_3_4 3_4 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:75%;--awb-margin-top-large:0px;--awb-spacing-right-large:2.56%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:2.56%;--awb-width-medium:75%;--awb-order-medium:0;--awb-spacing-right-medium:2.56%;--awb-spacing-left-medium:2.56%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-2\" style=\"--awb-font-size:38px;--awb-line-height:var(--awb-typography1-line-height);--awb-letter-spacing:var(--awb-typography1-letter-spacing);--awb-text-transform:var(--awb-typography1-text-transform);--awb-text-font-family:var(--awb-typography1-font-family);--awb-text-font-weight:var(--awb-typography1-font-weight);--awb-text-font-style:var(--awb-typography1-font-style);\"><p>Perception - Semantic Segmentation<\/p>\n<\/div><div class=\"fusion-text fusion-text-3\" style=\"--awb-content-alignment:left;--awb-font-size:18px;--awb-line-height:2;--awb-letter-spacing:var(--awb-typography3-letter-spacing);--awb-text-transform:var(--awb-typography3-text-transform);--awb-text-font-family:&quot;Outfit&quot;;--awb-text-font-style:normal;--awb-text-font-weight:400;\"><p style=\"text-align: left;\">This project uses UNet for Semantic Segmentation in autonomous-driving scenes. The input is an RGB image from a forward-facing vehicle camera, and the output is a class label for every pixel.<\/p>\n<p style=\"text-align: left;\">The download link for the complete project is:<a href=\"https:\/\/github.com\/TOPSlearningcenter\/UNet\">https:\/\/github.com\/TOPSlearningcenter\/UNet<\/a><\/p>\n<\/div><div class=\"fusion-builder-row fusion-builder-row-inner fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"width:104% !important;max-width:104% !important;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column_inner fusion-builder-nested-column-0 fusion_builder_column_inner_2_3 2_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:66.666666666667%;--awb-margin-top-large:0px;--awb-spacing-right-large:2.88%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:2.88%;--awb-width-medium:66.666666666667%;--awb-order-medium:0;--awb-spacing-right-medium:2.88%;--awb-spacing-left-medium:2.88%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-4\"><p>Given below<strong>Model Overview<\/strong>, click on the right<strong>Run Code Online<\/strong>\u3002<\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column_inner fusion-builder-nested-column-1 fusion_builder_column_inner_1_3 1_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:33.333333333333%;--awb-margin-top-large:0px;--awb-spacing-right-large:5.76%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:5.76%;--awb-width-medium:33.333333333333%;--awb-order-medium:0;--awb-spacing-right-medium:5.76%;--awb-spacing-left-medium:5.76%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div style=\"text-align:left;\"><a class=\"fusion-button button-flat fusion-button-default-size button-default fusion-button-default button-1 fusion-button-default-span fusion-button-default-type\" target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\/\/datalore.jetbrains.com\/notebook\/AfjtZktn1B4WuL3U7WV2mF\/tq3M3DqI5dCQ75gn2LJ2YV\/\"><span class=\"fusion-button-text\">Run Code Online<\/span><\/a><\/div><\/div><\/div><\/div><div class=\"fusion-builder-row fusion-builder-row-inner fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"width:104% !important;max-width:104% !important;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column_inner fusion-builder-nested-column-2 fusion_builder_column_inner_1_6 1_6 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:16.666666666667%;--awb-margin-top-large:0px;--awb-spacing-right-large:11.52%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:11.52%;--awb-width-medium:16.666666666667%;--awb-order-medium:0;--awb-spacing-right-medium:11.52%;--awb-spacing-left-medium:11.52%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column_inner fusion-builder-nested-column-3 fusion_builder_column_inner_2_3 2_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:66.666666666667%;--awb-margin-top-large:0px;--awb-spacing-right-large:2.88%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:2.88%;--awb-width-medium:66.666666666667%;--awb-order-medium:0;--awb-spacing-right-medium:2.88%;--awb-spacing-left-medium:2.88%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column_inner fusion-builder-nested-column-4 fusion_builder_column_inner_1_6 1_6 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:16.666666666667%;--awb-margin-top-large:0px;--awb-spacing-right-large:11.52%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:11.52%;--awb-width-medium:16.666666666667%;--awb-order-medium:0;--awb-spacing-right-medium:11.52%;--awb-spacing-left-medium:11.52%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><\/div><\/div><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"align-self: center;margin-left: auto;margin-right: auto;width:100%;\"><div class=\"fusion-separator-border sep-double\" style=\"--awb-height:20px;--awb-amount:20px;border-color:var(--awb-color3);border-top-width:1px;border-bottom-width:1px;\"><\/div><\/div><div class=\"fusion-builder-row fusion-builder-row-inner fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"width:104% !important;max-width:104% !important;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column_inner fusion-builder-nested-column-5 fusion_builder_column_inner_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-5\" style=\"--awb-font-size:24px;--awb-line-height:1;--awb-text-font-family:&quot;Outfit&quot;;--awb-text-font-style:normal;--awb-text-font-weight:700;\"><h4 style=\"padding-left: 0px;\">Model Overview<\/h4>\n<\/div><div class=\"fusion-text fusion-text-6\" style=\"--awb-content-alignment:left;--awb-font-size:16px;--awb-line-height:1.5;--awb-letter-spacing:var(--awb-typography3-letter-spacing);--awb-text-transform:var(--awb-typography3-text-transform);--awb-text-font-family:&quot;Outfit&quot;;--awb-text-font-style:normal;--awb-text-font-weight:400;\"><p><strong>1. Model overview:<\/strong><\/p>\n<p style=\"padding-left: 40px;\"><a href=\"https:\/\/arxiv.org\/pdf\/1505.04597\" rel=\"noopener noreferrer\">UNet<\/a>It is a classic semantic segmentation model, which mainly consists of two parts: an encoder and a decoder. Skip connections are used between the encoder and the decoder to retain features. This design enables UNet to efficiently extract and restore features when processing images with complex structures and details, thereby achieving accurate segmentation results.<\/p>\n<p><strong>2. Model Architecture:<\/strong><\/p>\n<ul>\n<li><strong>Encoder:<\/strong>UNet's encoder consists of multiple convolutional layers and max-pooling downsampling layers, the number and size of both of which can be adjusted according to the size and depth of the input image.<\/li>\n<li><strong>Decoder:<\/strong>UNet's decoder consists of multiple deconvolutional upsampling layers and convolutional layers, the number and size of which can be adjusted according to the size and depth of the feature map output by the encoder.<\/li>\n<li><strong>Jump connection:<\/strong>UNet uses skip connections between the encoder and decoder to preserve the detailed features of high-resolution images.<\/li>\n<\/ul>\n<p><strong>3. Implementation:<\/strong><\/p>\n<ul>\n<li><strong>Data loading:<\/strong>Load RGB images and corresponding labels, and preprocess the images, including normalization, scaling, etc.<\/li>\n<li><strong>train:<\/strong>The UNet model is trained using the Adam optimizer, supervised by the cross-entropy loss function.<\/li>\n<li><strong>Testing\/Visualization:<\/strong>The model infers and visualizes images based on predicted class labels.<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":5,"featured_media":0,"parent":503,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"100-width.php","meta":{"inline_featured_image":false,"iawp_total_views":2210,"footnotes":""},"class_list":["post-1513","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/pages\/1513"}],"collection":[{"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/comments?post=1513"}],"version-history":[{"count":15,"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/pages\/1513\/revisions"}],"predecessor-version":[{"id":1676,"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/pages\/1513\/revisions\/1676"}],"up":[{"embeddable":true,"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/pages\/503"}],"wp:attachment":[{"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/media?parent=1513"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}