{"id":1322,"date":"2024-09-23T09:59:47","date_gmt":"2024-09-23T01:59:47","guid":{"rendered":"http:\/\/110.42.248.92\/onsite-learning-center\/?page_id=1322"},"modified":"2025-03-14T20:57:34","modified_gmt":"2025-03-14T12:57:34","slug":"%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","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%a5-2d%e7%9b%ae%e6%a0%87%e6%a3%80%e6%b5%8b\/","title":{"rendered":"Start - Perception - 2D Object Detection"},"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\" 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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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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 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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 - 2D Object Detection<\/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;\">Here is a hands-on example for \"Perception Problem-2D Object Detection Task\", which uses YOLO to perform vehicle recognition on traffic scene clips. The download link for the complete project is:<a href=\"https:\/\/github.com\/TOPSlearningcenter\/2DD\">https:\/\/github.com\/TOPSlearningcenter\/2DD<\/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\/CC8UZnh4dLa0IRJXcdcjG8\/\"><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;\">YOLO (You Only Look Once) is a mainstream two-dimensional target detection model. It was first published by Joseph Redmon and his team in the paper<a href=\"https:\/\/www.cv-foundation.org\/openaccess\/content_cvpr_2016\/papers\/Redmon_You_Only_Look_CVPR_2016_paper.pdf\">\u300aYou Only Look Once: Unified, Real-Time Object Detection\u300b<\/a>It was proposed in the book that it was continued to be optimized and developed by future generations, and it has reached the tenth generation so far. The basic idea of \u200b\u200bthis model is to transform the target detection problem into a regression problem, extract the feature vector of the image through a convolutional neural network, and simultaneously predict the bounding box coordinates and category labels in the image. YOLO performs global predictions across the entire image, enabling fast and real-time object detection. In the two-dimensional target detection task of motor vehicles and pedestrians, the input is the traffic flow image captured by the camera, and the output is the bounding box range and category of each detected target.<\/p>\n<p><strong>2. Model Architecture:<\/strong><\/p>\n<ul>\n<li>The YOLO architecture varies slightly across versions, but its core idea remains the same.<\/li>\n<li>Backbone network: a series of convolutional layers extracts image features. Stacking layers from shallow to deep produces feature representations containing complex information.<\/li>\n<li>Output prediction: after obtaining image feature vectors, the model predicts Object Detection bounding boxes and confidence scores, using fully connected layers after the convolutional layers.<\/li>\n<li>Loss function: the loss has three parts corresponding to the outputs: bounding-box localization error, confidence error, and cross-entropy loss for class prediction.<\/li>\n<\/ul>\n<p><strong>3. Implementation:<\/strong><\/p>\n<ul>\n<li>Data preprocessing: split a video sequence into an ordered sequence of images at a chosen frame rate.<\/li>\n<li>Model selection: choose and load a pretrained model according to the required inference speed and accuracy.<\/li>\n<li>Visualization: run inference on images and render the predicted bounding boxes in a new image or video stream.<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":6,"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":1052,"footnotes":""},"class_list":["post-1322","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/pages\/1322"}],"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\/6"}],"replies":[{"embeddable":true,"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/comments?post=1322"}],"version-history":[{"count":10,"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/pages\/1322\/revisions"}],"predecessor-version":[{"id":2095,"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/pages\/1322\/revisions\/2095"}],"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=1322"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}