fangchangma

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Nuance Labs
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"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 tmp-mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{&quot;event_type&quot;:&quot;user_profile.click&quot;,&quot;payload&quot;:{&quot;profile_user_id&quot;:17073991,&quot;target&quot;:&quot;PINNED_REPO&quot;,&quot;user_id&quot;:null,&quot;originating_url&quot;:&quot;https://github.com/fangchangma&quot;}}\" data-hydro-click-hmac=\"4c9e28e9aa3409a38d48a3bb1dcb53abdfbf0b73e0b22333bb4c5d2c22393a16\" id=\"138135268\" href=\"/fangchangma/self-supervised-depth-completion\" data-view-component=\"true\" class=\"Link mr-1 tmp-mr-1 text-bold wb-break-word\"><span class=\"repo\">self-supervised-depth-completion</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-031f3d40-92e5-4892-bdad-ae01409cc397\" for=\"138135268\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">self-supervised-depth-completion</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n ICRA 2019 \"Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera\"\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/fangchangma/self-supervised-depth-completion/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 654\n </a>\n <a href=\"/fangchangma/self-supervised-depth-completion/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 134\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 tmp-mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{&quot;event_type&quot;:&quot;user_profile.click&quot;,&quot;payload&quot;:{&quot;profile_user_id&quot;:17073991,&quot;target&quot;:&quot;PINNED_REPO&quot;,&quot;user_id&quot;:null,&quot;originating_url&quot;:&quot;https://github.com/fangchangma&quot;}}\" data-hydro-click-hmac=\"4c9e28e9aa3409a38d48a3bb1dcb53abdfbf0b73e0b22333bb4c5d2c22393a16\" id=\"121895942\" href=\"/fangchangma/sparse-to-dense.pytorch\" data-view-component=\"true\" class=\"Link mr-1 tmp-mr-1 text-bold wb-break-word\"><span class=\"repo\">sparse-to-dense.pytorch</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-59f93fd7-036c-42da-a103-6753239ccbf3\" for=\"121895942\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">sparse-to-dense.pytorch</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n ICRA 2018 \"Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image\" (PyTorch Implementation)\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/fangchangma/sparse-to-dense.pytorch/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 452\n </a>\n <a href=\"/fangchangma/sparse-to-dense.pytorch/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 98\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 tmp-mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{&quot;event_type&quot;:&quot;user_profile.click&quot;,&quot;payload&quot;:{&quot;profile_user_id&quot;:17073991,&quot;target&quot;:&quot;PINNED_REPO&quot;,&quot;user_id&quot;:null,&quot;originating_url&quot;:&quot;https://github.com/fangchangma&quot;}}\" data-hydro-click-hmac=\"4c9e28e9aa3409a38d48a3bb1dcb53abdfbf0b73e0b22333bb4c5d2c22393a16\" id=\"515737529\" href=\"/apple/ml-gmpi\" data-view-component=\"true\" class=\"Link mr-1 tmp-mr-1 text-bold wb-break-word\"><span class=\"owner text-normal\">apple/</span><span class=\"repo\">ml-gmpi</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-cf1ed2de-7b93-41dd-a5c4-4824e699714b\" for=\"515737529\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">apple/ml-gmpi</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n [ECCV 2022, Oral Presentation] Official PyTorch implementation of GMPI \n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/apple/ml-gmpi/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 344\n </a>\n <a href=\"/apple/ml-gmpi/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 32\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 tmp-mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{&quot;event_type&quot;:&quot;user_profile.click&quot;,&quot;payload&quot;:{&quot;profile_user_id&quot;:17073991,&quot;target&quot;:&quot;PINNED_REPO&quot;,&quot;user_id&quot;:null,&quot;originating_url&quot;:&quot;https://github.com/fangchangma&quot;}}\" data-hydro-click-hmac=\"4c9e28e9aa3409a38d48a3bb1dcb53abdfbf0b73e0b22333bb4c5d2c22393a16\" id=\"103290657\" href=\"/fangchangma/sparse-to-dense\" data-view-component=\"true\" class=\"Link mr-1 tmp-mr-1 text-bold wb-break-word\"><span class=\"repo\">sparse-to-dense</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-e8a20dac-714d-4918-9473-0a1509ebf1e2\" for=\"103290657\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">sparse-to-dense</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n ICRA 2018 \"Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image\" (Torch Implementation)\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #000080\"></span>\n <span itemprop=\"programmingLanguage\">Lua</span>\n</span>\n\n <a href=\"/fangchangma/sparse-to-dense/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 447\n </a>\n <a href=\"/fangchangma/sparse-to-dense/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 95\n </a>\n </p>\n ",
"\n <div class=\"d-flex width-full position-relative\">\n <div class=\"flex-1\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 tmp-mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n <span data-view-component=\"true\" class=\"position-relative\"><a data-hydro-click=\"{&quot;event_type&quot;:&quot;user_profile.click&quot;,&quot;payload&quot;:{&quot;profile_user_id&quot;:17073991,&quot;target&quot;:&quot;PINNED_REPO&quot;,&quot;user_id&quot;:null,&quot;originating_url&quot;:&quot;https://github.com/fangchangma&quot;}}\" data-hydro-click-hmac=\"4c9e28e9aa3409a38d48a3bb1dcb53abdfbf0b73e0b22333bb4c5d2c22393a16\" id=\"54675850\" href=\"/sparse-depth-sensing/sparse-depth-sensing\" data-view-component=\"true\" class=\"Link mr-1 tmp-mr-1 text-bold wb-break-word\"><span class=\"owner text-normal\">sparse-depth-sensing/</span><span class=\"repo\">sparse-depth-sensing</span></a> <tool-tip data-direction=\"n\" id=\"tooltip-f845472c-ba28-49f4-8962-63633af8c310\" for=\"54675850\" popover=\"manual\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\">sparse-depth-sensing/sparse-depth-sensing</tool-tip></span> <span></span><span class=\"Label Label--secondary v-align-middle mt-1 no-wrap v-align-baseline Label--inline\">Public</span>\n </div>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small mt-2 mb-0\">\n IROS'16/IJRR \"Sparse Sensing for Resource-Constrained Depth Reconstruction\"\n </p>\n\n <p class=\"mb-0 mt-2 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #e16737\"></span>\n <span itemprop=\"programmingLanguage\">MATLAB</span>\n</span>\n\n <a href=\"/sparse-depth-sensing/sparse-depth-sensing/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 50\n </a>\n <a href=\"/sparse-depth-sensing/sparse-depth-sensing/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 16\n </a>\n </p>\n "
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