GSoC: Incorporating point-based convolutions in TensorFlow Graphics - #453

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GSoC: Incorporating point-based convolutions in TensorFlow Graphics#453
schellmi42 wants to merge 38 commits into
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schellmi42:point_convolutions

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This pull request contains the work done in the Google Summer of Code project
GSoC: Incorporating point-based convolutions in TensorFlow Graphics,
located at
tensorflow_graphics/projects/point_convolutions.

It contains code for point cloud datastructures, sampling operations, pooling operations and convolution operations.
Also a custom_ops package is provided with CUDA kernels for various operations.

Unit tests and introductory notebooks are provided.

For more detail and installation instructions see the README in the project directory.

Note:
The colab and github links inside the notebooks currently link to the forked repository, and should be updated after the code is approved.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all \u003cpre\u003e\u003ccode\u003e blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks"); } } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); } })(); (function(){ try { var __m = "github.com"; var __re = new RegExp('^' + "github\\.com" + '
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GSoC: Incorporating point-based convolutions in TensorFlow Graphics - #453

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schellmi42:point_convolutions
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GSoC: Incorporating point-based convolutions in TensorFlow Graphics#453
schellmi42 wants to merge 38 commits into
tensorflow:masterfrom
schellmi42:point_convolutions

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This pull request contains the work done in the Google Summer of Code project
GSoC: Incorporating point-based convolutions in TensorFlow Graphics,
located at
tensorflow_graphics/projects/point_convolutions.

It contains code for point cloud datastructures, sampling operations, pooling operations and convolution operations.
Also a custom_ops package is provided with CUDA kernels for various operations.

Unit tests and introductory notebooks are provided.

For more detail and installation instructions see the README in the project directory.

Note:
The colab and github links inside the notebooks currently link to the forked repository, and should be updated after the code is approved.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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GSoC: Incorporating point-based convolutions in TensorFlow Graphics - #453

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schellmi42 wants to merge 38 commits into
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schellmi42:point_convolutions
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GSoC: Incorporating point-based convolutions in TensorFlow Graphics#453
schellmi42 wants to merge 38 commits into
tensorflow:masterfrom
schellmi42:point_convolutions

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This pull request contains the work done in the Google Summer of Code project
GSoC: Incorporating point-based convolutions in TensorFlow Graphics,
located at
tensorflow_graphics/projects/point_convolutions.

It contains code for point cloud datastructures, sampling operations, pooling operations and convolution operations.
Also a custom_ops package is provided with CUDA kernels for various operations.

Unit tests and introductory notebooks are provided.

For more detail and installation instructions see the README in the project directory.

Note:
The colab and github links inside the notebooks currently link to the forked repository, and should be updated after the code is approved.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length \u003e 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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GSoC: Incorporating point-based convolutions in TensorFlow Graphics - #453

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schellmi42 wants to merge 38 commits into
tensorflow:masterfrom
schellmi42:point_convolutions
Open

GSoC: Incorporating point-based convolutions in TensorFlow Graphics#453
schellmi42 wants to merge 38 commits into
tensorflow:masterfrom
schellmi42:point_convolutions

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This pull request contains the work done in the Google Summer of Code project
GSoC: Incorporating point-based convolutions in TensorFlow Graphics,
located at
tensorflow_graphics/projects/point_convolutions.

It contains code for point cloud datastructures, sampling operations, pooling operations and convolution operations.
Also a custom_ops package is provided with CUDA kernels for various operations.

Unit tests and introductory notebooks are provided.

For more detail and installation instructions see the README in the project directory.

Note:
The colab and github links inside the notebooks currently link to the forked repository, and should be updated after the code is approved.

@review-notebook-app

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } 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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GSoC: Incorporating point-based convolutions in TensorFlow Graphics - #453

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schellmi42 wants to merge 38 commits into
tensorflow:masterfrom
schellmi42:point_convolutions
Open

GSoC: Incorporating point-based convolutions in TensorFlow Graphics#453
schellmi42 wants to merge 38 commits into
tensorflow:masterfrom
schellmi42:point_convolutions

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@schellmi42

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This pull request contains the work done in the Google Summer of Code project
GSoC: Incorporating point-based convolutions in TensorFlow Graphics,
located at
tensorflow_graphics/projects/point_convolutions.

It contains code for point cloud datastructures, sampling operations, pooling operations and convolution operations.
Also a custom_ops package is provided with CUDA kernels for various operations.

Unit tests and introductory notebooks are provided.

For more detail and installation instructions see the README in the project directory.

Note:
The colab and github links inside the notebooks currently link to the forked repository, and should be updated after the code is approved.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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GSoC: Incorporating point-based convolutions in TensorFlow Graphics - #453

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schellmi42 wants to merge 38 commits into
tensorflow:masterfrom
schellmi42:point_convolutions
Open

GSoC: Incorporating point-based convolutions in TensorFlow Graphics#453
schellmi42 wants to merge 38 commits into
tensorflow:masterfrom
schellmi42:point_convolutions

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This pull request contains the work done in the Google Summer of Code project
GSoC: Incorporating point-based convolutions in TensorFlow Graphics,
located at
tensorflow_graphics/projects/point_convolutions.

It contains code for point cloud datastructures, sampling operations, pooling operations and convolution operations.
Also a custom_ops package is provided with CUDA kernels for various operations.

Unit tests and introductory notebooks are provided.

For more detail and installation instructions see the README in the project directory.

Note:
The colab and github links inside the notebooks currently link to the forked repository, and should be updated after the code is approved.

@review-notebook-app

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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GSoC: Incorporating point-based convolutions in TensorFlow Graphics - #453

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schellmi42 wants to merge 38 commits into
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schellmi42:point_convolutions
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GSoC: Incorporating point-based convolutions in TensorFlow Graphics#453
schellmi42 wants to merge 38 commits into
tensorflow:masterfrom
schellmi42:point_convolutions

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This pull request contains the work done in the Google Summer of Code project
GSoC: Incorporating point-based convolutions in TensorFlow Graphics,
located at
tensorflow_graphics/projects/point_convolutions.

It contains code for point cloud datastructures, sampling operations, pooling operations and convolution operations.
Also a custom_ops package is provided with CUDA kernels for various operations.

Unit tests and introductory notebooks are provided.

For more detail and installation instructions see the README in the project directory.

Note:
The colab and github links inside the notebooks currently link to the forked repository, and should be updated after the code is approved.

@review-notebook-app

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Review Jupyter notebook visual diffs & provide feedback on notebooks.


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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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GSoC: Incorporating point-based convolutions in TensorFlow Graphics - #453

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schellmi42 wants to merge 38 commits into
tensorflow:masterfrom
schellmi42:point_convolutions
Open

GSoC: Incorporating point-based convolutions in TensorFlow Graphics#453
schellmi42 wants to merge 38 commits into
tensorflow:masterfrom
schellmi42:point_convolutions

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@schellmi42

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This pull request contains the work done in the Google Summer of Code project
GSoC: Incorporating point-based convolutions in TensorFlow Graphics,
located at
tensorflow_graphics/projects/point_convolutions.

It contains code for point cloud datastructures, sampling operations, pooling operations and convolution operations.
Also a custom_ops package is provided with CUDA kernels for various operations.

Unit tests and introductory notebooks are provided.

For more detail and installation instructions see the README in the project directory.

Note:
The colab and github links inside the notebooks currently link to the forked repository, and should be updated after the code is approved.

@review-notebook-app

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