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StringyPlotter

StringyPlotter

What is this?

This program produces a single continuous line from a black and white bitmap image suitable for use with pen plotters.

I saw some pretty neat images made with plotters like the AxiDraw and wanted to do something like it. While I didn't produce something quite like my inpiration, it is pretty okay for one night of hacking.

How does it work?

First, you need a black and white bitmap image. I used Gimp to change the mode to an indexed 1-bit palette, and selected the Floyd-Steinberg (reduced color bleeding) dithering option. It probably works best with high contrast images, but you tell me.

Next, when running the program it performs the following transformations:

  • Convert the image to a NumPy array
  • Find the coordinates of all of the black (1) pixels
  • Take a random sample according to some divisor of the total number of pixels
  • Then starting with the first pixel, draw a line to the next nearest pixel

This takes a minute or so on my old computer and due to the sequential nature of how I threw it together isn't the fastest thing anyway. I then loaded this into Inkscape and did a single pass of the Simplify (Ctrl+L) option on the path, did some centering, and then exported it to HPGL to be sent to the plotter.

How could I make it work?

With Python 3, make sure you have Pillow, NumPy, and SciPy installed. Then:

python3 ./StringyPlotter.py input_image.png output_image.svg 2

The number on the end is how much you want to divide the total number of black pixels in the image to obtain a sample size. The value of 2 means that we'll use half of the black pixels at random to connect our lines. You will probably want to play with this number according to your patience or image size.

What does it look like?

Input image

Original Image

Black and white dithered 1-bit image from Gimp

Black and White Image

Output SVG

Output SVG

Simplified SVG

Simplified SVG

Plotter Output

Plotter Print Full Image

Plotter Print Detail Image

Inspiration

License

GPLv3

About

Continuous lines from 1-bit images

Resources

Readme
GPL-3.0 license
Activity

Stars

61 stars

Watchers

3 watching

Forks

7 forks
Report repository

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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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StringyPlotter
StringyPlotter
What is this?
This program produces a single continuous line from a black and white bitmap image suitable for use with pen plotters.
I saw some pretty neat images made with plotters like the AxiDraw and wanted to do something like it. While I didn't produce something quite like my inpiration, it is pretty okay for one night of hacking.
How does it work?
First, you need a black and white bitmap image. I used Gimp to change the mode to an indexed 1-bit palette, and selected the Floyd-Steinberg (reduced color bleeding) dithering option. It probably works best with high contrast images, but you tell me.
Next, when running the program it performs the following transformations:
  • Convert the image to a NumPy array
  • Find the coordinates of all of the black (1) pixels
  • Take a random sample according to some divisor of the total number of pixels
  • Then starting with the first pixel, draw a line to the next nearest pixel
This takes a minute or so on my old computer and due to the sequential nature of how I threw it together isn't the fastest thing anyway. I then loaded this into Inkscape and did a single pass of the Simplify (Ctrl+L) option on the path, did some centering, and then exported it to HPGL to be sent to the plotter.
How could I make it work?
With Python 3, make sure you have Pillow, NumPy, and SciPy installed. Then:
python3 ./StringyPlotter.py input_image.png output_image.svg 2

The number on the end is how much you want to divide the total number of black pixels in the image to obtain a sample size. The value of 2 means that we'll use half of the black pixels at random to connect our lines. You will probably want to play with this number according to your patience or image size.
What does it look like?
Input image
Original Image
Black and white dithered 1-bit image from Gimp
Black and White Image
Output SVG
Output SVG
Simplified SVG
Simplified SVG
Plotter Output
Plotter Print Full Image
Plotter Print Detail Image
Inspiration
License
GPLv3
About
Continuous lines from 1-bit images
Resources
Readme
GPL-3.0 license
Activity
Stars
61 stars
Watchers
3 watching
Forks
7 forks
Report repository
Releases
Packages
Contributors
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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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StringyPlotter
StringyPlotter
What is this?
This program produces a single continuous line from a black and white bitmap image suitable for use with pen plotters.
I saw some pretty neat images made with plotters like the AxiDraw and wanted to do something like it. While I didn't produce something quite like my inpiration, it is pretty okay for one night of hacking.
How does it work?
First, you need a black and white bitmap image. I used Gimp to change the mode to an indexed 1-bit palette, and selected the Floyd-Steinberg (reduced color bleeding) dithering option. It probably works best with high contrast images, but you tell me.
Next, when running the program it performs the following transformations:
  • Convert the image to a NumPy array
  • Find the coordinates of all of the black (1) pixels
  • Take a random sample according to some divisor of the total number of pixels
  • Then starting with the first pixel, draw a line to the next nearest pixel
This takes a minute or so on my old computer and due to the sequential nature of how I threw it together isn't the fastest thing anyway. I then loaded this into Inkscape and did a single pass of the Simplify (Ctrl+L) option on the path, did some centering, and then exported it to HPGL to be sent to the plotter.
How could I make it work?
With Python 3, make sure you have Pillow, NumPy, and SciPy installed. Then:
python3 ./StringyPlotter.py input_image.png output_image.svg 2

The number on the end is how much you want to divide the total number of black pixels in the image to obtain a sample size. The value of 2 means that we'll use half of the black pixels at random to connect our lines. You will probably want to play with this number according to your patience or image size.
What does it look like?
Input image
Original Image
Black and white dithered 1-bit image from Gimp
Black and White Image
Output SVG
Output SVG
Simplified SVG
Simplified SVG
Plotter Output
Plotter Print Full Image
Plotter Print Detail Image
Inspiration
License
GPLv3
About
Continuous lines from 1-bit images
Resources
Readme
GPL-3.0 license
Activity
Stars
61 stars
Watchers
3 watching
Forks
7 forks
Report repository
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('^' + ".*" + '

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StringyPlotter
StringyPlotter
What is this?
This program produces a single continuous line from a black and white bitmap image suitable for use with pen plotters.
I saw some pretty neat images made with plotters like the AxiDraw and wanted to do something like it. While I didn't produce something quite like my inpiration, it is pretty okay for one night of hacking.
How does it work?
First, you need a black and white bitmap image. I used Gimp to change the mode to an indexed 1-bit palette, and selected the Floyd-Steinberg (reduced color bleeding) dithering option. It probably works best with high contrast images, but you tell me.
Next, when running the program it performs the following transformations:
  • Convert the image to a NumPy array
  • Find the coordinates of all of the black (1) pixels
  • Take a random sample according to some divisor of the total number of pixels
  • Then starting with the first pixel, draw a line to the next nearest pixel
This takes a minute or so on my old computer and due to the sequential nature of how I threw it together isn't the fastest thing anyway. I then loaded this into Inkscape and did a single pass of the Simplify (Ctrl+L) option on the path, did some centering, and then exported it to HPGL to be sent to the plotter.
How could I make it work?
With Python 3, make sure you have Pillow, NumPy, and SciPy installed. Then:
python3 ./StringyPlotter.py input_image.png output_image.svg 2

The number on the end is how much you want to divide the total number of black pixels in the image to obtain a sample size. The value of 2 means that we'll use half of the black pixels at random to connect our lines. You will probably want to play with this number according to your patience or image size.
What does it look like?
Input image
Original Image
Black and white dithered 1-bit image from Gimp
Black and White Image
Output SVG
Output SVG
Simplified SVG
Simplified SVG
Plotter Output
Plotter Print Full Image
Plotter Print Detail Image
Inspiration
License
GPLv3
About
Continuous lines from 1-bit images
Resources
Readme
GPL-3.0 license
Activity
Stars
61 stars
Watchers
3 watching
Forks
7 forks
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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StringyPlotter
StringyPlotter
What is this?
This program produces a single continuous line from a black and white bitmap image suitable for use with pen plotters.
I saw some pretty neat images made with plotters like the AxiDraw and wanted to do something like it. While I didn't produce something quite like my inpiration, it is pretty okay for one night of hacking.
How does it work?
First, you need a black and white bitmap image. I used Gimp to change the mode to an indexed 1-bit palette, and selected the Floyd-Steinberg (reduced color bleeding) dithering option. It probably works best with high contrast images, but you tell me.
Next, when running the program it performs the following transformations:
  • Convert the image to a NumPy array
  • Find the coordinates of all of the black (1) pixels
  • Take a random sample according to some divisor of the total number of pixels
  • Then starting with the first pixel, draw a line to the next nearest pixel
This takes a minute or so on my old computer and due to the sequential nature of how I threw it together isn't the fastest thing anyway. I then loaded this into Inkscape and did a single pass of the Simplify (Ctrl+L) option on the path, did some centering, and then exported it to HPGL to be sent to the plotter.
How could I make it work?
With Python 3, make sure you have Pillow, NumPy, and SciPy installed. Then:
python3 ./StringyPlotter.py input_image.png output_image.svg 2

The number on the end is how much you want to divide the total number of black pixels in the image to obtain a sample size. The value of 2 means that we'll use half of the black pixels at random to connect our lines. You will probably want to play with this number according to your patience or image size.
What does it look like?
Input image
Original Image
Black and white dithered 1-bit image from Gimp
Black and White Image
Output SVG
Output SVG
Simplified SVG
Simplified SVG
Plotter Output
Plotter Print Full Image
Plotter Print Detail Image
Inspiration
License
GPLv3
About
Continuous lines from 1-bit images
Resources
Readme
GPL-3.0 license
Activity
Stars
61 stars
Watchers
3 watching
Forks
7 forks
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('^' + ".*" + '

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StringyPlotter
StringyPlotter
What is this?
This program produces a single continuous line from a black and white bitmap image suitable for use with pen plotters.
I saw some pretty neat images made with plotters like the AxiDraw and wanted to do something like it. While I didn't produce something quite like my inpiration, it is pretty okay for one night of hacking.
How does it work?
First, you need a black and white bitmap image. I used Gimp to change the mode to an indexed 1-bit palette, and selected the Floyd-Steinberg (reduced color bleeding) dithering option. It probably works best with high contrast images, but you tell me.
Next, when running the program it performs the following transformations:
  • Convert the image to a NumPy array
  • Find the coordinates of all of the black (1) pixels
  • Take a random sample according to some divisor of the total number of pixels
  • Then starting with the first pixel, draw a line to the next nearest pixel
This takes a minute or so on my old computer and due to the sequential nature of how I threw it together isn't the fastest thing anyway. I then loaded this into Inkscape and did a single pass of the Simplify (Ctrl+L) option on the path, did some centering, and then exported it to HPGL to be sent to the plotter.
How could I make it work?
With Python 3, make sure you have Pillow, NumPy, and SciPy installed. Then:
python3 ./StringyPlotter.py input_image.png output_image.svg 2

The number on the end is how much you want to divide the total number of black pixels in the image to obtain a sample size. The value of 2 means that we'll use half of the black pixels at random to connect our lines. You will probably want to play with this number according to your patience or image size.
What does it look like?
Input image
Original Image
Black and white dithered 1-bit image from Gimp
Black and White Image
Output SVG
Output SVG
Simplified SVG
Simplified SVG
Plotter Output
Plotter Print Full Image
Plotter Print Detail Image
Inspiration
License
GPLv3
About
Continuous lines from 1-bit images
Resources
Readme
GPL-3.0 license
Activity
Stars
61 stars
Watchers
3 watching
Forks
7 forks
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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StringyPlotter
StringyPlotter
What is this?
This program produces a single continuous line from a black and white bitmap image suitable for use with pen plotters.
I saw some pretty neat images made with plotters like the AxiDraw and wanted to do something like it. While I didn't produce something quite like my inpiration, it is pretty okay for one night of hacking.
How does it work?
First, you need a black and white bitmap image. I used Gimp to change the mode to an indexed 1-bit palette, and selected the Floyd-Steinberg (reduced color bleeding) dithering option. It probably works best with high contrast images, but you tell me.
Next, when running the program it performs the following transformations:
  • Convert the image to a NumPy array
  • Find the coordinates of all of the black (1) pixels
  • Take a random sample according to some divisor of the total number of pixels
  • Then starting with the first pixel, draw a line to the next nearest pixel
This takes a minute or so on my old computer and due to the sequential nature of how I threw it together isn't the fastest thing anyway. I then loaded this into Inkscape and did a single pass of the Simplify (Ctrl+L) option on the path, did some centering, and then exported it to HPGL to be sent to the plotter.
How could I make it work?
With Python 3, make sure you have Pillow, NumPy, and SciPy installed. Then:
python3 ./StringyPlotter.py input_image.png output_image.svg 2

The number on the end is how much you want to divide the total number of black pixels in the image to obtain a sample size. The value of 2 means that we'll use half of the black pixels at random to connect our lines. You will probably want to play with this number according to your patience or image size.
What does it look like?
Input image
Original Image
Black and white dithered 1-bit image from Gimp
Black and White Image
Output SVG
Output SVG
Simplified SVG
Simplified SVG
Plotter Output
Plotter Print Full Image
Plotter Print Detail Image
Inspiration
License
GPLv3
About
Continuous lines from 1-bit images
Resources
Readme
GPL-3.0 license
Activity
Stars
61 stars
Watchers
3 watching
Forks
7 forks
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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StringyPlotter.py
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StringyPlotter
StringyPlotter
What is this?
This program produces a single continuous line from a black and white bitmap image suitable for use with pen plotters.
I saw some pretty neat images made with plotters like the AxiDraw and wanted to do something like it. While I didn't produce something quite like my inpiration, it is pretty okay for one night of hacking.
How does it work?
First, you need a black and white bitmap image. I used Gimp to change the mode to an indexed 1-bit palette, and selected the Floyd-Steinberg (reduced color bleeding) dithering option. It probably works best with high contrast images, but you tell me.
Next, when running the program it performs the following transformations:
  • Convert the image to a NumPy array
  • Find the coordinates of all of the black (1) pixels
  • Take a random sample according to some divisor of the total number of pixels
  • Then starting with the first pixel, draw a line to the next nearest pixel
This takes a minute or so on my old computer and due to the sequential nature of how I threw it together isn't the fastest thing anyway. I then loaded this into Inkscape and did a single pass of the Simplify (Ctrl+L) option on the path, did some centering, and then exported it to HPGL to be sent to the plotter.
How could I make it work?
With Python 3, make sure you have Pillow, NumPy, and SciPy installed. Then:
python3 ./StringyPlotter.py input_image.png output_image.svg 2

The number on the end is how much you want to divide the total number of black pixels in the image to obtain a sample size. The value of 2 means that we'll use half of the black pixels at random to connect our lines. You will probably want to play with this number according to your patience or image size.
What does it look like?
Input image
Original Image
Black and white dithered 1-bit image from Gimp
Black and White Image
Output SVG
Output SVG
Simplified SVG
Simplified SVG
Plotter Output
Plotter Print Full Image
Plotter Print Detail Image
Inspiration
License
GPLv3
About
Continuous lines from 1-bit images
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Readme
GPL-3.0 license
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