Repository files navigation

Vision

Overview

Vision is a web-based tool designed to aid individuals with color vision deficiencies and detect cataracts using machine learning algorithms. The project offers live color correction for images to enhance visibility for color blind users and incorporates a cataract detection model for early diagnosis. Additionally, a browser extension is provided for seamless integration into daily browsing activities.

Features

  • Live Image Color Correction: Real-time color correction of images to improve visibility for users with color vision deficiencies.
  • Cataract Detection: Utilizes a machine learning model to detect cataracts from uploaded images, facilitating early diagnosis.
  • Browser Extension: Integration with popular web browsers for convenient access to color correction functionality during regular internet usage.
  • Color Blindness Simulation: Simulates color blindness by removing colors in certain spectra

Running the Web Application locally

  • Create a python virtual environment and switch to the virtual environment
  • Install required dependancies required by running "pip install -r requirements.txt"
  • Run "uvicorn main:app --reload"

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 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" + '
Skip to content

Repository files navigation

Vision

Overview

Vision is a web-based tool designed to aid individuals with color vision deficiencies and detect cataracts using machine learning algorithms. The project offers live color correction for images to enhance visibility for color blind users and incorporates a cataract detection model for early diagnosis. Additionally, a browser extension is provided for seamless integration into daily browsing activities.

Features

  • Live Image Color Correction: Real-time color correction of images to improve visibility for users with color vision deficiencies.
  • Cataract Detection: Utilizes a machine learning model to detect cataracts from uploaded images, facilitating early diagnosis.
  • Browser Extension: Integration with popular web browsers for convenient access to color correction functionality during regular internet usage.
  • Color Blindness Simulation: Simulates color blindness by removing colors in certain spectra

Running the Web Application locally

  • Create a python virtual environment and switch to the virtual environment
  • Install required dependancies required by running "pip install -r requirements.txt"
  • Run "uvicorn main:app --reload"

Releases

Packages

Contributors

Languages

, '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('^' + ".*" + '
Skip to content

Repository files navigation

Vision

Overview

Vision is a web-based tool designed to aid individuals with color vision deficiencies and detect cataracts using machine learning algorithms. The project offers live color correction for images to enhance visibility for color blind users and incorporates a cataract detection model for early diagnosis. Additionally, a browser extension is provided for seamless integration into daily browsing activities.

Features

  • Live Image Color Correction: Real-time color correction of images to improve visibility for users with color vision deficiencies.
  • Cataract Detection: Utilizes a machine learning model to detect cataracts from uploaded images, facilitating early diagnosis.
  • Browser Extension: Integration with popular web browsers for convenient access to color correction functionality during regular internet usage.
  • Color Blindness Simulation: Simulates color blindness by removing colors in certain spectra

Running the Web Application locally

  • Create a python virtual environment and switch to the virtual environment
  • Install required dependancies required by running "pip install -r requirements.txt"
  • Run "uvicorn main:app --reload"

Releases

Packages

Contributors

Languages

, '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 > 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('^' + ".*" + '
Skip to content

Repository files navigation

Vision

Overview

Vision is a web-based tool designed to aid individuals with color vision deficiencies and detect cataracts using machine learning algorithms. The project offers live color correction for images to enhance visibility for color blind users and incorporates a cataract detection model for early diagnosis. Additionally, a browser extension is provided for seamless integration into daily browsing activities.

Features

  • Live Image Color Correction: Real-time color correction of images to improve visibility for users with color vision deficiencies.
  • Cataract Detection: Utilizes a machine learning model to detect cataracts from uploaded images, facilitating early diagnosis.
  • Browser Extension: Integration with popular web browsers for convenient access to color correction functionality during regular internet usage.
  • Color Blindness Simulation: Simulates color blindness by removing colors in certain spectra

Running the Web Application locally

  • Create a python virtual environment and switch to the virtual environment
  • Install required dependancies required by running "pip install -r requirements.txt"
  • Run "uvicorn main:app --reload"

Releases

Packages

Contributors

Languages

, '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" + '
Skip to content

Repository files navigation

Vision

Overview

Vision is a web-based tool designed to aid individuals with color vision deficiencies and detect cataracts using machine learning algorithms. The project offers live color correction for images to enhance visibility for color blind users and incorporates a cataract detection model for early diagnosis. Additionally, a browser extension is provided for seamless integration into daily browsing activities.

Features

  • Live Image Color Correction: Real-time color correction of images to improve visibility for users with color vision deficiencies.
  • Cataract Detection: Utilizes a machine learning model to detect cataracts from uploaded images, facilitating early diagnosis.
  • Browser Extension: Integration with popular web browsers for convenient access to color correction functionality during regular internet usage.
  • Color Blindness Simulation: Simulates color blindness by removing colors in certain spectra

Running the Web Application locally

  • Create a python virtual environment and switch to the virtual environment
  • Install required dependancies required by running "pip install -r requirements.txt"
  • Run "uvicorn main:app --reload"

Releases

Packages

Contributors

Languages

, '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('^' + ".*" + '
Skip to content

Repository files navigation

Vision

Overview

Vision is a web-based tool designed to aid individuals with color vision deficiencies and detect cataracts using machine learning algorithms. The project offers live color correction for images to enhance visibility for color blind users and incorporates a cataract detection model for early diagnosis. Additionally, a browser extension is provided for seamless integration into daily browsing activities.

Features

  • Live Image Color Correction: Real-time color correction of images to improve visibility for users with color vision deficiencies.
  • Cataract Detection: Utilizes a machine learning model to detect cataracts from uploaded images, facilitating early diagnosis.
  • Browser Extension: Integration with popular web browsers for convenient access to color correction functionality during regular internet usage.
  • Color Blindness Simulation: Simulates color blindness by removing colors in certain spectra

Running the Web Application locally

  • Create a python virtual environment and switch to the virtual environment
  • Install required dependancies required by running "pip install -r requirements.txt"
  • Run "uvicorn main:app --reload"

Releases

Packages

Contributors

Languages

, '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('^' + ".*" + '
Skip to content

Repository files navigation

Vision

Overview

Vision is a web-based tool designed to aid individuals with color vision deficiencies and detect cataracts using machine learning algorithms. The project offers live color correction for images to enhance visibility for color blind users and incorporates a cataract detection model for early diagnosis. Additionally, a browser extension is provided for seamless integration into daily browsing activities.

Features

  • Live Image Color Correction: Real-time color correction of images to improve visibility for users with color vision deficiencies.
  • Cataract Detection: Utilizes a machine learning model to detect cataracts from uploaded images, facilitating early diagnosis.
  • Browser Extension: Integration with popular web browsers for convenient access to color correction functionality during regular internet usage.
  • Color Blindness Simulation: Simulates color blindness by removing colors in certain spectra

Running the Web Application locally

  • Create a python virtual environment and switch to the virtual environment
  • Install required dependancies required by running "pip install -r requirements.txt"
  • Run "uvicorn main:app --reload"

Releases

Packages

Contributors

Languages

, '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); } })(); })();
Skip to content

Repository files navigation

Vision

Overview

Vision is a web-based tool designed to aid individuals with color vision deficiencies and detect cataracts using machine learning algorithms. The project offers live color correction for images to enhance visibility for color blind users and incorporates a cataract detection model for early diagnosis. Additionally, a browser extension is provided for seamless integration into daily browsing activities.

Features

  • Live Image Color Correction: Real-time color correction of images to improve visibility for users with color vision deficiencies.
  • Cataract Detection: Utilizes a machine learning model to detect cataracts from uploaded images, facilitating early diagnosis.
  • Browser Extension: Integration with popular web browsers for convenient access to color correction functionality during regular internet usage.
  • Color Blindness Simulation: Simulates color blindness by removing colors in certain spectra

Running the Web Application locally

  • Create a python virtual environment and switch to the virtual environment
  • Install required dependancies required by running "pip install -r requirements.txt"
  • Run "uvicorn main:app --reload"

Releases

Packages

Contributors

Languages