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Image to HTML Converter and Viewer

This project consists of two Python scripts that allow you to convert an image file (PNG or JPEG) to an HTML file, where each pixel of the image is represented as a table cell with corresponding colors. It also provides a PyQt5-based viewer to display the generated HTML file.

Prerequisites

  • Python 3.x
  • Required Python packages: Pillow, PyQt5, tkinter

You can install the required packages using pip:

pip install pillow PyQt5

Usage

Step 1: Convert Image to HTML

  1. Run the convert.py script using the following command:
python convert.py
  1. Enter the path of the image file you want to convert when prompted.
  2. The script will generate an HTML file named output.html in the same directory as the script, representing the image in HTML format.

Step 2: View HTML as Image

  1. Run the viewimg.py script using the following command:
python viewimg.py

  1. Use the file dialog to select the output.html file generated in Step 1.

  2. A PyQt5 window titled "HTML Viewer" will open, displaying the image rendered from the HTML file.

Customization

  • Image and HTML file names: You can modify the variables in the convert.py script to specify the desired file names for the input image and output HTML file.

  • Styling: The generated HTML file uses inline styling to set the background color of each table cell. You can modify the CSS styles in the convert.py script to customize the appearance of the rendered image.

Limitations

  • Supported image formats: The scripts support PNG and JPEG image formats. Ensure that the image file you provide is in either of these formats.

  • Large image files: The generated HTML file can become large in size for high-resolution or large-sized images, which may impact the rendering performance in the PyQt5 window.

License

This project is licensed under the MIT LICENSE.

About

This Python script allows you to convert an image file (PNG or JPEG) to an HTML file, where each pixel of the image is represented as a table cell with corresponding colors. It also provides a PyQt5 window to display the generated HTML file.

Topics

htmihtmlimagetable

Resources

Readme
MIT license
Activity

Stars

0 stars

Watchers

1 watching

Forks

1 fork
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, '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" + '

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Image to HTML Converter and Viewer
This project consists of two Python scripts that allow you to convert an image file (PNG or JPEG) to an HTML file, where each pixel of the image is represented as a table cell with corresponding colors. It also provides a PyQt5-based viewer to display the generated HTML file.
Prerequisites
  • Python 3.x
  • Required Python packages: Pillow, PyQt5, tkinter
You can install the required packages using pip:
pip install pillow PyQt5
Usage
Step 1: Convert Image to HTML
  1. Run the convert.py script using the following command:
python convert.py
  1. Enter the path of the image file you want to convert when prompted.
  2. The script will generate an HTML file named output.html in the same directory as the script, representing the image in HTML format.
Step 2: View HTML as Image
  1. Run the viewimg.py script using the following command:
python viewimg.py
  1. Use the file dialog to select the output.html file generated in Step 1.
  2. A PyQt5 window titled "HTML Viewer" will open, displaying the image rendered from the HTML file.
Customization
  • Image and HTML file names: You can modify the variables in the convert.py script to specify the desired file names for the input image and output HTML file.
  • Styling: The generated HTML file uses inline styling to set the background color of each table cell. You can modify the CSS styles in the convert.py script to customize the appearance of the rendered image.
Limitations
  • Supported image formats: The scripts support PNG and JPEG image formats. Ensure that the image file you provide is in either of these formats.
  • Large image files: The generated HTML file can become large in size for high-resolution or large-sized images, which may impact the rendering performance in the PyQt5 window.
License
This project is licensed under the MIT LICENSE.
About
This Python script allows you to convert an image file (PNG or JPEG) to an HTML file, where each pixel of the image is represented as a table cell with corresponding colors. It also provides a PyQt5 window to display the generated HTML file.
Topics
htmihtmlimagetable
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 watching
Forks
1 fork
Report repository
Releases
Packages
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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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Image to HTML Converter and Viewer
This project consists of two Python scripts that allow you to convert an image file (PNG or JPEG) to an HTML file, where each pixel of the image is represented as a table cell with corresponding colors. It also provides a PyQt5-based viewer to display the generated HTML file.
Prerequisites
  • Python 3.x
  • Required Python packages: Pillow, PyQt5, tkinter
You can install the required packages using pip:
pip install pillow PyQt5
Usage
Step 1: Convert Image to HTML
  1. Run the convert.py script using the following command:
python convert.py
  1. Enter the path of the image file you want to convert when prompted.
  2. The script will generate an HTML file named output.html in the same directory as the script, representing the image in HTML format.
Step 2: View HTML as Image
  1. Run the viewimg.py script using the following command:
python viewimg.py
  1. Use the file dialog to select the output.html file generated in Step 1.
  2. A PyQt5 window titled "HTML Viewer" will open, displaying the image rendered from the HTML file.
Customization
  • Image and HTML file names: You can modify the variables in the convert.py script to specify the desired file names for the input image and output HTML file.
  • Styling: The generated HTML file uses inline styling to set the background color of each table cell. You can modify the CSS styles in the convert.py script to customize the appearance of the rendered image.
Limitations
  • Supported image formats: The scripts support PNG and JPEG image formats. Ensure that the image file you provide is in either of these formats.
  • Large image files: The generated HTML file can become large in size for high-resolution or large-sized images, which may impact the rendering performance in the PyQt5 window.
License
This project is licensed under the MIT LICENSE.
About
This Python script allows you to convert an image file (PNG or JPEG) to an HTML file, where each pixel of the image is represented as a table cell with corresponding colors. It also provides a PyQt5 window to display the generated HTML file.
Topics
htmihtmlimagetable
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 watching
Forks
1 fork
Report repository
Releases
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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 > 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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This repository was archived by the owner on Sep 12, 2025. It is now read-only.

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viewimg.py
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Image to HTML Converter and Viewer
This project consists of two Python scripts that allow you to convert an image file (PNG or JPEG) to an HTML file, where each pixel of the image is represented as a table cell with corresponding colors. It also provides a PyQt5-based viewer to display the generated HTML file.
Prerequisites
  • Python 3.x
  • Required Python packages: Pillow, PyQt5, tkinter
You can install the required packages using pip:
pip install pillow PyQt5
Usage
Step 1: Convert Image to HTML
  1. Run the convert.py script using the following command:
python convert.py
  1. Enter the path of the image file you want to convert when prompted.
  2. The script will generate an HTML file named output.html in the same directory as the script, representing the image in HTML format.
Step 2: View HTML as Image
  1. Run the viewimg.py script using the following command:
python viewimg.py
  1. Use the file dialog to select the output.html file generated in Step 1.
  2. A PyQt5 window titled "HTML Viewer" will open, displaying the image rendered from the HTML file.
Customization
  • Image and HTML file names: You can modify the variables in the convert.py script to specify the desired file names for the input image and output HTML file.
  • Styling: The generated HTML file uses inline styling to set the background color of each table cell. You can modify the CSS styles in the convert.py script to customize the appearance of the rendered image.
Limitations
  • Supported image formats: The scripts support PNG and JPEG image formats. Ensure that the image file you provide is in either of these formats.
  • Large image files: The generated HTML file can become large in size for high-resolution or large-sized images, which may impact the rendering performance in the PyQt5 window.
License
This project is licensed under the MIT LICENSE.
About
This Python script allows you to convert an image file (PNG or JPEG) to an HTML file, where each pixel of the image is represented as a table cell with corresponding colors. It also provides a PyQt5 window to display the generated HTML file.
Topics
htmihtmlimagetable
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 watching
Forks
1 fork
Report repository
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" + '

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This repository was archived by the owner on Sep 12, 2025. It is now read-only.

BranchesTags
Latest commit
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9 Commits
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NameName
Last commit message
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LICENSE
LICENSE
README.md
README.md
convert.py
convert.py
viewimg.py
viewimg.py
Repository files navigation
Image to HTML Converter and Viewer
This project consists of two Python scripts that allow you to convert an image file (PNG or JPEG) to an HTML file, where each pixel of the image is represented as a table cell with corresponding colors. It also provides a PyQt5-based viewer to display the generated HTML file.
Prerequisites
  • Python 3.x
  • Required Python packages: Pillow, PyQt5, tkinter
You can install the required packages using pip:
pip install pillow PyQt5
Usage
Step 1: Convert Image to HTML
  1. Run the convert.py script using the following command:
python convert.py
  1. Enter the path of the image file you want to convert when prompted.
  2. The script will generate an HTML file named output.html in the same directory as the script, representing the image in HTML format.
Step 2: View HTML as Image
  1. Run the viewimg.py script using the following command:
python viewimg.py
  1. Use the file dialog to select the output.html file generated in Step 1.
  2. A PyQt5 window titled "HTML Viewer" will open, displaying the image rendered from the HTML file.
Customization
  • Image and HTML file names: You can modify the variables in the convert.py script to specify the desired file names for the input image and output HTML file.
  • Styling: The generated HTML file uses inline styling to set the background color of each table cell. You can modify the CSS styles in the convert.py script to customize the appearance of the rendered image.
Limitations
  • Supported image formats: The scripts support PNG and JPEG image formats. Ensure that the image file you provide is in either of these formats.
  • Large image files: The generated HTML file can become large in size for high-resolution or large-sized images, which may impact the rendering performance in the PyQt5 window.
License
This project is licensed under the MIT LICENSE.
About
This Python script allows you to convert an image file (PNG or JPEG) to an HTML file, where each pixel of the image is represented as a table cell with corresponding colors. It also provides a PyQt5 window to display the generated HTML file.
Topics
htmihtmlimagetable
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 watching
Forks
1 fork
Report repository
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

This repository was archived by the owner on Sep 12, 2025. It is now read-only.

BranchesTags
Latest commit
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9 Commits
Folders and files
NameName
Last commit message
Last commit date
LICENSE
LICENSE
README.md
README.md
convert.py
convert.py
viewimg.py
viewimg.py
Repository files navigation
Image to HTML Converter and Viewer
This project consists of two Python scripts that allow you to convert an image file (PNG or JPEG) to an HTML file, where each pixel of the image is represented as a table cell with corresponding colors. It also provides a PyQt5-based viewer to display the generated HTML file.
Prerequisites
  • Python 3.x
  • Required Python packages: Pillow, PyQt5, tkinter
You can install the required packages using pip:
pip install pillow PyQt5
Usage
Step 1: Convert Image to HTML
  1. Run the convert.py script using the following command:
python convert.py
  1. Enter the path of the image file you want to convert when prompted.
  2. The script will generate an HTML file named output.html in the same directory as the script, representing the image in HTML format.
Step 2: View HTML as Image
  1. Run the viewimg.py script using the following command:
python viewimg.py
  1. Use the file dialog to select the output.html file generated in Step 1.
  2. A PyQt5 window titled "HTML Viewer" will open, displaying the image rendered from the HTML file.
Customization
  • Image and HTML file names: You can modify the variables in the convert.py script to specify the desired file names for the input image and output HTML file.
  • Styling: The generated HTML file uses inline styling to set the background color of each table cell. You can modify the CSS styles in the convert.py script to customize the appearance of the rendered image.
Limitations
  • Supported image formats: The scripts support PNG and JPEG image formats. Ensure that the image file you provide is in either of these formats.
  • Large image files: The generated HTML file can become large in size for high-resolution or large-sized images, which may impact the rendering performance in the PyQt5 window.
License
This project is licensed under the MIT LICENSE.
About
This Python script allows you to convert an image file (PNG or JPEG) to an HTML file, where each pixel of the image is represented as a table cell with corresponding colors. It also provides a PyQt5 window to display the generated HTML file.
Topics
htmihtmlimagetable
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 watching
Forks
1 fork
Report repository
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('^' + ".*" + '

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This repository was archived by the owner on Sep 12, 2025. It is now read-only.

BranchesTags
Latest commit
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9 Commits
Folders and files
NameName
Last commit message
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LICENSE
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README.md
README.md
convert.py
convert.py
viewimg.py
viewimg.py
Repository files navigation
Image to HTML Converter and Viewer
This project consists of two Python scripts that allow you to convert an image file (PNG or JPEG) to an HTML file, where each pixel of the image is represented as a table cell with corresponding colors. It also provides a PyQt5-based viewer to display the generated HTML file.
Prerequisites
  • Python 3.x
  • Required Python packages: Pillow, PyQt5, tkinter
You can install the required packages using pip:
pip install pillow PyQt5
Usage
Step 1: Convert Image to HTML
  1. Run the convert.py script using the following command:
python convert.py
  1. Enter the path of the image file you want to convert when prompted.
  2. The script will generate an HTML file named output.html in the same directory as the script, representing the image in HTML format.
Step 2: View HTML as Image
  1. Run the viewimg.py script using the following command:
python viewimg.py
  1. Use the file dialog to select the output.html file generated in Step 1.
  2. A PyQt5 window titled "HTML Viewer" will open, displaying the image rendered from the HTML file.
Customization
  • Image and HTML file names: You can modify the variables in the convert.py script to specify the desired file names for the input image and output HTML file.
  • Styling: The generated HTML file uses inline styling to set the background color of each table cell. You can modify the CSS styles in the convert.py script to customize the appearance of the rendered image.
Limitations
  • Supported image formats: The scripts support PNG and JPEG image formats. Ensure that the image file you provide is in either of these formats.
  • Large image files: The generated HTML file can become large in size for high-resolution or large-sized images, which may impact the rendering performance in the PyQt5 window.
License
This project is licensed under the MIT LICENSE.
About
This Python script allows you to convert an image file (PNG or JPEG) to an HTML file, where each pixel of the image is represented as a table cell with corresponding colors. It also provides a PyQt5 window to display the generated HTML file.
Topics
htmihtmlimagetable
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 watching
Forks
1 fork
Report repository
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); }
})();
})();

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Image to HTML Converter and Viewer
This project consists of two Python scripts that allow you to convert an image file (PNG or JPEG) to an HTML file, where each pixel of the image is represented as a table cell with corresponding colors. It also provides a PyQt5-based viewer to display the generated HTML file.
Prerequisites
  • Python 3.x
  • Required Python packages: Pillow, PyQt5, tkinter
You can install the required packages using pip:
pip install pillow PyQt5
Usage
Step 1: Convert Image to HTML
  1. Run the convert.py script using the following command:
python convert.py
  1. Enter the path of the image file you want to convert when prompted.
  2. The script will generate an HTML file named output.html in the same directory as the script, representing the image in HTML format.
Step 2: View HTML as Image
  1. Run the viewimg.py script using the following command:
python viewimg.py
  1. Use the file dialog to select the output.html file generated in Step 1.
  2. A PyQt5 window titled "HTML Viewer" will open, displaying the image rendered from the HTML file.
Customization
  • Image and HTML file names: You can modify the variables in the convert.py script to specify the desired file names for the input image and output HTML file.
  • Styling: The generated HTML file uses inline styling to set the background color of each table cell. You can modify the CSS styles in the convert.py script to customize the appearance of the rendered image.
Limitations
  • Supported image formats: The scripts support PNG and JPEG image formats. Ensure that the image file you provide is in either of these formats.
  • Large image files: The generated HTML file can become large in size for high-resolution or large-sized images, which may impact the rendering performance in the PyQt5 window.
License
This project is licensed under the MIT LICENSE.
About
This Python script allows you to convert an image file (PNG or JPEG) to an HTML file, where each pixel of the image is represented as a table cell with corresponding colors. It also provides a PyQt5 window to display the generated HTML file.
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htmihtmlimagetable
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