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Nonlocal Matting

This is the research code used by me, Philip G. Lee, in my nonlocal matting research. Please see the paper here: Nonlocal matting

License

All of the code is licensed under the GPLv3. The images in gt/ and images/ are from www.alphamatting.com under fair use for research. The images in scribs/ are licensed under the WTFPL-2. For more detail, see the COPYRIGHT file.

Purpose

The purpose of this code was to do research on incorporating Nonlocal methods into alpha matting. The results of the original code are published in P. Lee, Y Wu. "Nonlocal matting". Computer Vision and Pattern Recognition 2011.

Notes

This code is meant for RESEARCH ONLY. It is not production quality or optimized or anything like that. It is written to be easily modified.

Normalized Images

Most of this code assumes that we are working with images whose color channels are normalized to the range [0,1]. For example: I = double(imread('image.png'))./255 is the normalization for an 8-bit image.

Memory Limitations

The code directly solves sparse matrices in memory, limiting the image resolution to something like 128x128, since it will exhaust GB of RAM.

About

Research code for the "Nonlocal Matting" matting paper by P. Lee and Y. Wu in CVPR 2011.

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
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Nonlocal Matting

This is the research code used by me, Philip G. Lee, in my nonlocal matting research. Please see the paper here: Nonlocal matting

License

All of the code is licensed under the GPLv3. The images in gt/ and images/ are from www.alphamatting.com under fair use for research. The images in scribs/ are licensed under the WTFPL-2. For more detail, see the COPYRIGHT file.

Purpose

The purpose of this code was to do research on incorporating Nonlocal methods into alpha matting. The results of the original code are published in P. Lee, Y Wu. "Nonlocal matting". Computer Vision and Pattern Recognition 2011.

Notes

This code is meant for RESEARCH ONLY. It is not production quality or optimized or anything like that. It is written to be easily modified.

Normalized Images

Most of this code assumes that we are working with images whose color channels are normalized to the range [0,1]. For example: I = double(imread('image.png'))./255 is the normalization for an 8-bit image.

Memory Limitations

The code directly solves sparse matrices in memory, limiting the image resolution to something like 128x128, since it will exhaust GB of RAM.

About

Research code for the "Nonlocal Matting" matting paper by P. Lee and Y. Wu in CVPR 2011.

Resources

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9 stars

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Nonlocal Matting

This is the research code used by me, Philip G. Lee, in my nonlocal matting research. Please see the paper here: Nonlocal matting

License

All of the code is licensed under the GPLv3. The images in gt/ and images/ are from www.alphamatting.com under fair use for research. The images in scribs/ are licensed under the WTFPL-2. For more detail, see the COPYRIGHT file.

Purpose

The purpose of this code was to do research on incorporating Nonlocal methods into alpha matting. The results of the original code are published in P. Lee, Y Wu. "Nonlocal matting". Computer Vision and Pattern Recognition 2011.

Notes

This code is meant for RESEARCH ONLY. It is not production quality or optimized or anything like that. It is written to be easily modified.

Normalized Images

Most of this code assumes that we are working with images whose color channels are normalized to the range [0,1]. For example: I = double(imread('image.png'))./255 is the normalization for an 8-bit image.

Memory Limitations

The code directly solves sparse matrices in memory, limiting the image resolution to something like 128x128, since it will exhaust GB of RAM.

About

Research code for the "Nonlocal Matting" matting paper by P. Lee and Y. Wu in CVPR 2011.

Resources

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9 stars

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Nonlocal Matting

This is the research code used by me, Philip G. Lee, in my nonlocal matting research. Please see the paper here: Nonlocal matting

License

All of the code is licensed under the GPLv3. The images in gt/ and images/ are from www.alphamatting.com under fair use for research. The images in scribs/ are licensed under the WTFPL-2. For more detail, see the COPYRIGHT file.

Purpose

The purpose of this code was to do research on incorporating Nonlocal methods into alpha matting. The results of the original code are published in P. Lee, Y Wu. "Nonlocal matting". Computer Vision and Pattern Recognition 2011.

Notes

This code is meant for RESEARCH ONLY. It is not production quality or optimized or anything like that. It is written to be easily modified.

Normalized Images

Most of this code assumes that we are working with images whose color channels are normalized to the range [0,1]. For example: I = double(imread('image.png'))./255 is the normalization for an 8-bit image.

Memory Limitations

The code directly solves sparse matrices in memory, limiting the image resolution to something like 128x128, since it will exhaust GB of RAM.

About

Research code for the "Nonlocal Matting" matting paper by P. Lee and Y. Wu in CVPR 2011.

Resources

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9 stars

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3 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Nonlocal Matting

This is the research code used by me, Philip G. Lee, in my nonlocal matting research. Please see the paper here: Nonlocal matting

License

All of the code is licensed under the GPLv3. The images in gt/ and images/ are from www.alphamatting.com under fair use for research. The images in scribs/ are licensed under the WTFPL-2. For more detail, see the COPYRIGHT file.

Purpose

The purpose of this code was to do research on incorporating Nonlocal methods into alpha matting. The results of the original code are published in P. Lee, Y Wu. "Nonlocal matting". Computer Vision and Pattern Recognition 2011.

Notes

This code is meant for RESEARCH ONLY. It is not production quality or optimized or anything like that. It is written to be easily modified.

Normalized Images

Most of this code assumes that we are working with images whose color channels are normalized to the range [0,1]. For example: I = double(imread('image.png'))./255 is the normalization for an 8-bit image.

Memory Limitations

The code directly solves sparse matrices in memory, limiting the image resolution to something like 128x128, since it will exhaust GB of RAM.

About

Research code for the "Nonlocal Matting" matting paper by P. Lee and Y. Wu in CVPR 2011.

Resources

Stars

9 stars

Watchers

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Releases

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Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Nonlocal Matting

This is the research code used by me, Philip G. Lee, in my nonlocal matting research. Please see the paper here: Nonlocal matting

License

All of the code is licensed under the GPLv3. The images in gt/ and images/ are from www.alphamatting.com under fair use for research. The images in scribs/ are licensed under the WTFPL-2. For more detail, see the COPYRIGHT file.

Purpose

The purpose of this code was to do research on incorporating Nonlocal methods into alpha matting. The results of the original code are published in P. Lee, Y Wu. "Nonlocal matting". Computer Vision and Pattern Recognition 2011.

Notes

This code is meant for RESEARCH ONLY. It is not production quality or optimized or anything like that. It is written to be easily modified.

Normalized Images

Most of this code assumes that we are working with images whose color channels are normalized to the range [0,1]. For example: I = double(imread('image.png'))./255 is the normalization for an 8-bit image.

Memory Limitations

The code directly solves sparse matrices in memory, limiting the image resolution to something like 128x128, since it will exhaust GB of RAM.

About

Research code for the "Nonlocal Matting" matting paper by P. Lee and Y. Wu in CVPR 2011.

Resources

Stars

9 stars

Watchers

3 watching

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Releases

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Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Nonlocal Matting

This is the research code used by me, Philip G. Lee, in my nonlocal matting research. Please see the paper here: Nonlocal matting

License

All of the code is licensed under the GPLv3. The images in gt/ and images/ are from www.alphamatting.com under fair use for research. The images in scribs/ are licensed under the WTFPL-2. For more detail, see the COPYRIGHT file.

Purpose

The purpose of this code was to do research on incorporating Nonlocal methods into alpha matting. The results of the original code are published in P. Lee, Y Wu. "Nonlocal matting". Computer Vision and Pattern Recognition 2011.

Notes

This code is meant for RESEARCH ONLY. It is not production quality or optimized or anything like that. It is written to be easily modified.

Normalized Images

Most of this code assumes that we are working with images whose color channels are normalized to the range [0,1]. For example: I = double(imread('image.png'))./255 is the normalization for an 8-bit image.

Memory Limitations

The code directly solves sparse matrices in memory, limiting the image resolution to something like 128x128, since it will exhaust GB of RAM.

About

Research code for the "Nonlocal Matting" matting paper by P. Lee and Y. Wu in CVPR 2011.

Resources

Stars

9 stars

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Nonlocal Matting

This is the research code used by me, Philip G. Lee, in my nonlocal matting research. Please see the paper here: Nonlocal matting

License

All of the code is licensed under the GPLv3. The images in gt/ and images/ are from www.alphamatting.com under fair use for research. The images in scribs/ are licensed under the WTFPL-2. For more detail, see the COPYRIGHT file.

Purpose

The purpose of this code was to do research on incorporating Nonlocal methods into alpha matting. The results of the original code are published in P. Lee, Y Wu. "Nonlocal matting". Computer Vision and Pattern Recognition 2011.

Notes

This code is meant for RESEARCH ONLY. It is not production quality or optimized or anything like that. It is written to be easily modified.

Normalized Images

Most of this code assumes that we are working with images whose color channels are normalized to the range [0,1]. For example: I = double(imread('image.png'))./255 is the normalization for an 8-bit image.

Memory Limitations

The code directly solves sparse matrices in memory, limiting the image resolution to something like 128x128, since it will exhaust GB of RAM.

About

Research code for the "Nonlocal Matting" matting paper by P. Lee and Y. Wu in CVPR 2011.

Resources

Stars

9 stars

Watchers

3 watching

Forks

Releases

Packages

Contributors

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