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ruby-seeklib

FFI bindings to allow use of seeklib with ruby. seeklib is basically an alternative to pHash/pHashion. See here for background:

http://hackerlabs.github.io/blog/2012/07/30/organizing-photos-with-duplicate-and-similarity-checking/

Usage

API

Seeklib.path_sig: takes a path to an image, and produces an imgseek fingerprint.

Seeklib.calc_diff: takes two imgseek fingerprints and returns the difference score.

Allowed image types are any that CImg handles (IIRC jpg, gif, png, bmp, and maybe a couple others), or any that ImageMagick handles (basically all of them) if you have the ImageMagick library installed (CImg will call out to ImageMagick if it can't read an image itself).

It's also possible to add support for producing a fingerprint from a blob of memory containing image data. I can add this if anyone actually wants it, but I've more or less abandoned this project for the moment.

Caveats:

  1. Note that the difference score is not as straightforward as the one generated by pHash. The score is a negative integer. The more negative, the more similar the images are. Personally, I find this annoying to think about, so I'll add 50 to the result.

  2. The score resulting from comparing two identical images is undefined. If this is possible in your application, consider supplementing your comparison with good old-fashion sha1 or something.

  3. It's not clear what the max difference score is. You should probably look here if you really need to know, and read the authors' original paper.

http://grail.cs.washington.edu/projects/query/

Example

require'seeklib'bss=SeekLib.path_sig'squares/blue-square.jpg'# what it sounds likegss=SeekLib.path_sig'squares/green-square.jpg'# pretty much samerss=SeekLib.path_sig'squares/red-square.jpg'# a bit differentSeekLib.calc_diff(bss,gss) + 50# => 18.641717640766657SeekLib.calc_diff(gss,bss) + 50# => 18.641717640766657 (thank god)SeekLib.calc_diff(bss,rss) + 50# => 46.336210565558794 (whoa!)SeekLib.calc_diff(gss,rss) + 50# => 46.169410374857364 (similar)SeekLib.calc_diff(bss,bss) + 50# => 17.969999238848686SeekLib.calc_diff(gss,gss) + 50# => 17.969999238848686 (wait, diff(a, a) undefined?)SeekLib.calc_diff(rss,rss) + 50# => 9.8899996727705 (yep, unfortunately)

Getting

I've finally published it (well, the hacked-up 'installable' branch) so you can do gem install seeklib. It may even work!

Background discussion

TODO: Add more. Briefly, I was working on a project where I really, really needed a good, fast perceptual hash. pHash, though excellent, was nowhere near adequate in terms of speed. The fact that the fingerprint was ~100x bigger didn't really matter to me (pHash fingerprints are only 8 bytes). The main thing preventing other people from using the imgseek fingerprint is that it was embedded in a mass of ancient code that I doubt anyone wanted to touch. Original is here:

https://github.com/ricardocabral/iskdaemon/blob/master/src/imgSeekLib/imgdb.cpp

No offense intended to Ricardo, who I'm sure has better things to do than clean it up.

It worked beautifully for me, and I made a number of improvements to its performance (which was critical for my project), particularly switching from ImageMagick to CImg. The project is currently stalled, So I figured I'd release it for the next guy who needs a fingerprint library (girls may use it too; I'm not particular).

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
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}
} 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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ruby-seeklib

FFI bindings to allow use of seeklib with ruby. seeklib is basically an alternative to pHash/pHashion. See here for background:

http://hackerlabs.github.io/blog/2012/07/30/organizing-photos-with-duplicate-and-similarity-checking/

Usage

API

Seeklib.path_sig: takes a path to an image, and produces an imgseek fingerprint.

Seeklib.calc_diff: takes two imgseek fingerprints and returns the difference score.

Allowed image types are any that CImg handles (IIRC jpg, gif, png, bmp, and maybe a couple others), or any that ImageMagick handles (basically all of them) if you have the ImageMagick library installed (CImg will call out to ImageMagick if it can't read an image itself).

It's also possible to add support for producing a fingerprint from a blob of memory containing image data. I can add this if anyone actually wants it, but I've more or less abandoned this project for the moment.

Caveats:

  1. Note that the difference score is not as straightforward as the one generated by pHash. The score is a negative integer. The more negative, the more similar the images are. Personally, I find this annoying to think about, so I'll add 50 to the result.

  2. The score resulting from comparing two identical images is undefined. If this is possible in your application, consider supplementing your comparison with good old-fashion sha1 or something.

  3. It's not clear what the max difference score is. You should probably look here if you really need to know, and read the authors' original paper.

http://grail.cs.washington.edu/projects/query/

Example

require'seeklib'bss=SeekLib.path_sig'squares/blue-square.jpg'# what it sounds likegss=SeekLib.path_sig'squares/green-square.jpg'# pretty much samerss=SeekLib.path_sig'squares/red-square.jpg'# a bit differentSeekLib.calc_diff(bss,gss) + 50# => 18.641717640766657SeekLib.calc_diff(gss,bss) + 50# => 18.641717640766657 (thank god)SeekLib.calc_diff(bss,rss) + 50# => 46.336210565558794 (whoa!)SeekLib.calc_diff(gss,rss) + 50# => 46.169410374857364 (similar)SeekLib.calc_diff(bss,bss) + 50# => 17.969999238848686SeekLib.calc_diff(gss,gss) + 50# => 17.969999238848686 (wait, diff(a, a) undefined?)SeekLib.calc_diff(rss,rss) + 50# => 9.8899996727705 (yep, unfortunately)

Getting

I've finally published it (well, the hacked-up 'installable' branch) so you can do gem install seeklib. It may even work!

Background discussion

TODO: Add more. Briefly, I was working on a project where I really, really needed a good, fast perceptual hash. pHash, though excellent, was nowhere near adequate in terms of speed. The fact that the fingerprint was ~100x bigger didn't really matter to me (pHash fingerprints are only 8 bytes). The main thing preventing other people from using the imgseek fingerprint is that it was embedded in a mass of ancient code that I doubt anyone wanted to touch. Original is here:

https://github.com/ricardocabral/iskdaemon/blob/master/src/imgSeekLib/imgdb.cpp

No offense intended to Ricardo, who I'm sure has better things to do than clean it up.

It worked beautifully for me, and I made a number of improvements to its performance (which was critical for my project), particularly switching from ImageMagick to CImg. The project is currently stalled, So I figured I'd release it for the next guy who needs a fingerprint library (girls may use it too; I'm not particular).

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ffi binding for seeklib

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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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ruby-seeklib

FFI bindings to allow use of seeklib with ruby. seeklib is basically an alternative to pHash/pHashion. See here for background:

http://hackerlabs.github.io/blog/2012/07/30/organizing-photos-with-duplicate-and-similarity-checking/

Usage

API

Seeklib.path_sig: takes a path to an image, and produces an imgseek fingerprint.

Seeklib.calc_diff: takes two imgseek fingerprints and returns the difference score.

Allowed image types are any that CImg handles (IIRC jpg, gif, png, bmp, and maybe a couple others), or any that ImageMagick handles (basically all of them) if you have the ImageMagick library installed (CImg will call out to ImageMagick if it can't read an image itself).

It's also possible to add support for producing a fingerprint from a blob of memory containing image data. I can add this if anyone actually wants it, but I've more or less abandoned this project for the moment.

Caveats:

  1. Note that the difference score is not as straightforward as the one generated by pHash. The score is a negative integer. The more negative, the more similar the images are. Personally, I find this annoying to think about, so I'll add 50 to the result.

  2. The score resulting from comparing two identical images is undefined. If this is possible in your application, consider supplementing your comparison with good old-fashion sha1 or something.

  3. It's not clear what the max difference score is. You should probably look here if you really need to know, and read the authors' original paper.

http://grail.cs.washington.edu/projects/query/

Example

require'seeklib'bss=SeekLib.path_sig'squares/blue-square.jpg'# what it sounds likegss=SeekLib.path_sig'squares/green-square.jpg'# pretty much samerss=SeekLib.path_sig'squares/red-square.jpg'# a bit differentSeekLib.calc_diff(bss,gss) + 50# => 18.641717640766657SeekLib.calc_diff(gss,bss) + 50# => 18.641717640766657 (thank god)SeekLib.calc_diff(bss,rss) + 50# => 46.336210565558794 (whoa!)SeekLib.calc_diff(gss,rss) + 50# => 46.169410374857364 (similar)SeekLib.calc_diff(bss,bss) + 50# => 17.969999238848686SeekLib.calc_diff(gss,gss) + 50# => 17.969999238848686 (wait, diff(a, a) undefined?)SeekLib.calc_diff(rss,rss) + 50# => 9.8899996727705 (yep, unfortunately)

Getting

I've finally published it (well, the hacked-up 'installable' branch) so you can do gem install seeklib. It may even work!

Background discussion

TODO: Add more. Briefly, I was working on a project where I really, really needed a good, fast perceptual hash. pHash, though excellent, was nowhere near adequate in terms of speed. The fact that the fingerprint was ~100x bigger didn't really matter to me (pHash fingerprints are only 8 bytes). The main thing preventing other people from using the imgseek fingerprint is that it was embedded in a mass of ancient code that I doubt anyone wanted to touch. Original is here:

https://github.com/ricardocabral/iskdaemon/blob/master/src/imgSeekLib/imgdb.cpp

No offense intended to Ricardo, who I'm sure has better things to do than clean it up.

It worked beautifully for me, and I made a number of improvements to its performance (which was critical for my project), particularly switching from ImageMagick to CImg. The project is currently stalled, So I figured I'd release it for the next guy who needs a fingerprint library (girls may use it too; I'm not particular).

About

ffi binding for seeklib

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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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ruby-seeklib

FFI bindings to allow use of seeklib with ruby. seeklib is basically an alternative to pHash/pHashion. See here for background:

http://hackerlabs.github.io/blog/2012/07/30/organizing-photos-with-duplicate-and-similarity-checking/

Usage

API

Seeklib.path_sig: takes a path to an image, and produces an imgseek fingerprint.

Seeklib.calc_diff: takes two imgseek fingerprints and returns the difference score.

Allowed image types are any that CImg handles (IIRC jpg, gif, png, bmp, and maybe a couple others), or any that ImageMagick handles (basically all of them) if you have the ImageMagick library installed (CImg will call out to ImageMagick if it can't read an image itself).

It's also possible to add support for producing a fingerprint from a blob of memory containing image data. I can add this if anyone actually wants it, but I've more or less abandoned this project for the moment.

Caveats:

  1. Note that the difference score is not as straightforward as the one generated by pHash. The score is a negative integer. The more negative, the more similar the images are. Personally, I find this annoying to think about, so I'll add 50 to the result.

  2. The score resulting from comparing two identical images is undefined. If this is possible in your application, consider supplementing your comparison with good old-fashion sha1 or something.

  3. It's not clear what the max difference score is. You should probably look here if you really need to know, and read the authors' original paper.

http://grail.cs.washington.edu/projects/query/

Example

require'seeklib'bss=SeekLib.path_sig'squares/blue-square.jpg'# what it sounds likegss=SeekLib.path_sig'squares/green-square.jpg'# pretty much samerss=SeekLib.path_sig'squares/red-square.jpg'# a bit differentSeekLib.calc_diff(bss,gss) + 50# => 18.641717640766657SeekLib.calc_diff(gss,bss) + 50# => 18.641717640766657 (thank god)SeekLib.calc_diff(bss,rss) + 50# => 46.336210565558794 (whoa!)SeekLib.calc_diff(gss,rss) + 50# => 46.169410374857364 (similar)SeekLib.calc_diff(bss,bss) + 50# => 17.969999238848686SeekLib.calc_diff(gss,gss) + 50# => 17.969999238848686 (wait, diff(a, a) undefined?)SeekLib.calc_diff(rss,rss) + 50# => 9.8899996727705 (yep, unfortunately)

Getting

I've finally published it (well, the hacked-up 'installable' branch) so you can do gem install seeklib. It may even work!

Background discussion

TODO: Add more. Briefly, I was working on a project where I really, really needed a good, fast perceptual hash. pHash, though excellent, was nowhere near adequate in terms of speed. The fact that the fingerprint was ~100x bigger didn't really matter to me (pHash fingerprints are only 8 bytes). The main thing preventing other people from using the imgseek fingerprint is that it was embedded in a mass of ancient code that I doubt anyone wanted to touch. Original is here:

https://github.com/ricardocabral/iskdaemon/blob/master/src/imgSeekLib/imgdb.cpp

No offense intended to Ricardo, who I'm sure has better things to do than clean it up.

It worked beautifully for me, and I made a number of improvements to its performance (which was critical for my project), particularly switching from ImageMagick to CImg. The project is currently stalled, So I figured I'd release it for the next guy who needs a fingerprint library (girls may use it too; I'm not particular).

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ffi binding for seeklib

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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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ruby-seeklib

FFI bindings to allow use of seeklib with ruby. seeklib is basically an alternative to pHash/pHashion. See here for background:

http://hackerlabs.github.io/blog/2012/07/30/organizing-photos-with-duplicate-and-similarity-checking/

Usage

API

Seeklib.path_sig: takes a path to an image, and produces an imgseek fingerprint.

Seeklib.calc_diff: takes two imgseek fingerprints and returns the difference score.

Allowed image types are any that CImg handles (IIRC jpg, gif, png, bmp, and maybe a couple others), or any that ImageMagick handles (basically all of them) if you have the ImageMagick library installed (CImg will call out to ImageMagick if it can't read an image itself).

It's also possible to add support for producing a fingerprint from a blob of memory containing image data. I can add this if anyone actually wants it, but I've more or less abandoned this project for the moment.

Caveats:

  1. Note that the difference score is not as straightforward as the one generated by pHash. The score is a negative integer. The more negative, the more similar the images are. Personally, I find this annoying to think about, so I'll add 50 to the result.

  2. The score resulting from comparing two identical images is undefined. If this is possible in your application, consider supplementing your comparison with good old-fashion sha1 or something.

  3. It's not clear what the max difference score is. You should probably look here if you really need to know, and read the authors' original paper.

http://grail.cs.washington.edu/projects/query/

Example

require'seeklib'bss=SeekLib.path_sig'squares/blue-square.jpg'# what it sounds likegss=SeekLib.path_sig'squares/green-square.jpg'# pretty much samerss=SeekLib.path_sig'squares/red-square.jpg'# a bit differentSeekLib.calc_diff(bss,gss) + 50# => 18.641717640766657SeekLib.calc_diff(gss,bss) + 50# => 18.641717640766657 (thank god)SeekLib.calc_diff(bss,rss) + 50# => 46.336210565558794 (whoa!)SeekLib.calc_diff(gss,rss) + 50# => 46.169410374857364 (similar)SeekLib.calc_diff(bss,bss) + 50# => 17.969999238848686SeekLib.calc_diff(gss,gss) + 50# => 17.969999238848686 (wait, diff(a, a) undefined?)SeekLib.calc_diff(rss,rss) + 50# => 9.8899996727705 (yep, unfortunately)

Getting

I've finally published it (well, the hacked-up 'installable' branch) so you can do gem install seeklib. It may even work!

Background discussion

TODO: Add more. Briefly, I was working on a project where I really, really needed a good, fast perceptual hash. pHash, though excellent, was nowhere near adequate in terms of speed. The fact that the fingerprint was ~100x bigger didn't really matter to me (pHash fingerprints are only 8 bytes). The main thing preventing other people from using the imgseek fingerprint is that it was embedded in a mass of ancient code that I doubt anyone wanted to touch. Original is here:

https://github.com/ricardocabral/iskdaemon/blob/master/src/imgSeekLib/imgdb.cpp

No offense intended to Ricardo, who I'm sure has better things to do than clean it up.

It worked beautifully for me, and I made a number of improvements to its performance (which was critical for my project), particularly switching from ImageMagick to CImg. The project is currently stalled, So I figured I'd release it for the next guy who needs a fingerprint library (girls may use it too; I'm not particular).

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ffi binding for seeklib

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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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ruby-seeklib

FFI bindings to allow use of seeklib with ruby. seeklib is basically an alternative to pHash/pHashion. See here for background:

http://hackerlabs.github.io/blog/2012/07/30/organizing-photos-with-duplicate-and-similarity-checking/

Usage

API

Seeklib.path_sig: takes a path to an image, and produces an imgseek fingerprint.

Seeklib.calc_diff: takes two imgseek fingerprints and returns the difference score.

Allowed image types are any that CImg handles (IIRC jpg, gif, png, bmp, and maybe a couple others), or any that ImageMagick handles (basically all of them) if you have the ImageMagick library installed (CImg will call out to ImageMagick if it can't read an image itself).

It's also possible to add support for producing a fingerprint from a blob of memory containing image data. I can add this if anyone actually wants it, but I've more or less abandoned this project for the moment.

Caveats:

  1. Note that the difference score is not as straightforward as the one generated by pHash. The score is a negative integer. The more negative, the more similar the images are. Personally, I find this annoying to think about, so I'll add 50 to the result.

  2. The score resulting from comparing two identical images is undefined. If this is possible in your application, consider supplementing your comparison with good old-fashion sha1 or something.

  3. It's not clear what the max difference score is. You should probably look here if you really need to know, and read the authors' original paper.

http://grail.cs.washington.edu/projects/query/

Example

require'seeklib'bss=SeekLib.path_sig'squares/blue-square.jpg'# what it sounds likegss=SeekLib.path_sig'squares/green-square.jpg'# pretty much samerss=SeekLib.path_sig'squares/red-square.jpg'# a bit differentSeekLib.calc_diff(bss,gss) + 50# => 18.641717640766657SeekLib.calc_diff(gss,bss) + 50# => 18.641717640766657 (thank god)SeekLib.calc_diff(bss,rss) + 50# => 46.336210565558794 (whoa!)SeekLib.calc_diff(gss,rss) + 50# => 46.169410374857364 (similar)SeekLib.calc_diff(bss,bss) + 50# => 17.969999238848686SeekLib.calc_diff(gss,gss) + 50# => 17.969999238848686 (wait, diff(a, a) undefined?)SeekLib.calc_diff(rss,rss) + 50# => 9.8899996727705 (yep, unfortunately)

Getting

I've finally published it (well, the hacked-up 'installable' branch) so you can do gem install seeklib. It may even work!

Background discussion

TODO: Add more. Briefly, I was working on a project where I really, really needed a good, fast perceptual hash. pHash, though excellent, was nowhere near adequate in terms of speed. The fact that the fingerprint was ~100x bigger didn't really matter to me (pHash fingerprints are only 8 bytes). The main thing preventing other people from using the imgseek fingerprint is that it was embedded in a mass of ancient code that I doubt anyone wanted to touch. Original is here:

https://github.com/ricardocabral/iskdaemon/blob/master/src/imgSeekLib/imgdb.cpp

No offense intended to Ricardo, who I'm sure has better things to do than clean it up.

It worked beautifully for me, and I made a number of improvements to its performance (which was critical for my project), particularly switching from ImageMagick to CImg. The project is currently stalled, So I figured I'd release it for the next guy who needs a fingerprint library (girls may use it too; I'm not particular).

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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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ruby-seeklib

FFI bindings to allow use of seeklib with ruby. seeklib is basically an alternative to pHash/pHashion. See here for background:

http://hackerlabs.github.io/blog/2012/07/30/organizing-photos-with-duplicate-and-similarity-checking/

Usage

API

Seeklib.path_sig: takes a path to an image, and produces an imgseek fingerprint.

Seeklib.calc_diff: takes two imgseek fingerprints and returns the difference score.

Allowed image types are any that CImg handles (IIRC jpg, gif, png, bmp, and maybe a couple others), or any that ImageMagick handles (basically all of them) if you have the ImageMagick library installed (CImg will call out to ImageMagick if it can't read an image itself).

It's also possible to add support for producing a fingerprint from a blob of memory containing image data. I can add this if anyone actually wants it, but I've more or less abandoned this project for the moment.

Caveats:

  1. Note that the difference score is not as straightforward as the one generated by pHash. The score is a negative integer. The more negative, the more similar the images are. Personally, I find this annoying to think about, so I'll add 50 to the result.

  2. The score resulting from comparing two identical images is undefined. If this is possible in your application, consider supplementing your comparison with good old-fashion sha1 or something.

  3. It's not clear what the max difference score is. You should probably look here if you really need to know, and read the authors' original paper.

http://grail.cs.washington.edu/projects/query/

Example

require'seeklib'bss=SeekLib.path_sig'squares/blue-square.jpg'# what it sounds likegss=SeekLib.path_sig'squares/green-square.jpg'# pretty much samerss=SeekLib.path_sig'squares/red-square.jpg'# a bit differentSeekLib.calc_diff(bss,gss) + 50# => 18.641717640766657SeekLib.calc_diff(gss,bss) + 50# => 18.641717640766657 (thank god)SeekLib.calc_diff(bss,rss) + 50# => 46.336210565558794 (whoa!)SeekLib.calc_diff(gss,rss) + 50# => 46.169410374857364 (similar)SeekLib.calc_diff(bss,bss) + 50# => 17.969999238848686SeekLib.calc_diff(gss,gss) + 50# => 17.969999238848686 (wait, diff(a, a) undefined?)SeekLib.calc_diff(rss,rss) + 50# => 9.8899996727705 (yep, unfortunately)

Getting

I've finally published it (well, the hacked-up 'installable' branch) so you can do gem install seeklib. It may even work!

Background discussion

TODO: Add more. Briefly, I was working on a project where I really, really needed a good, fast perceptual hash. pHash, though excellent, was nowhere near adequate in terms of speed. The fact that the fingerprint was ~100x bigger didn't really matter to me (pHash fingerprints are only 8 bytes). The main thing preventing other people from using the imgseek fingerprint is that it was embedded in a mass of ancient code that I doubt anyone wanted to touch. Original is here:

https://github.com/ricardocabral/iskdaemon/blob/master/src/imgSeekLib/imgdb.cpp

No offense intended to Ricardo, who I'm sure has better things to do than clean it up.

It worked beautifully for me, and I made a number of improvements to its performance (which was critical for my project), particularly switching from ImageMagick to CImg. The project is currently stalled, So I figured I'd release it for the next guy who needs a fingerprint library (girls may use it too; I'm not particular).

About

ffi binding for seeklib

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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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ruby-seeklib

FFI bindings to allow use of seeklib with ruby. seeklib is basically an alternative to pHash/pHashion. See here for background:

http://hackerlabs.github.io/blog/2012/07/30/organizing-photos-with-duplicate-and-similarity-checking/

Usage

API

Seeklib.path_sig: takes a path to an image, and produces an imgseek fingerprint.

Seeklib.calc_diff: takes two imgseek fingerprints and returns the difference score.

Allowed image types are any that CImg handles (IIRC jpg, gif, png, bmp, and maybe a couple others), or any that ImageMagick handles (basically all of them) if you have the ImageMagick library installed (CImg will call out to ImageMagick if it can't read an image itself).

It's also possible to add support for producing a fingerprint from a blob of memory containing image data. I can add this if anyone actually wants it, but I've more or less abandoned this project for the moment.

Caveats:

  1. Note that the difference score is not as straightforward as the one generated by pHash. The score is a negative integer. The more negative, the more similar the images are. Personally, I find this annoying to think about, so I'll add 50 to the result.

  2. The score resulting from comparing two identical images is undefined. If this is possible in your application, consider supplementing your comparison with good old-fashion sha1 or something.

  3. It's not clear what the max difference score is. You should probably look here if you really need to know, and read the authors' original paper.

http://grail.cs.washington.edu/projects/query/

Example

require'seeklib'bss=SeekLib.path_sig'squares/blue-square.jpg'# what it sounds likegss=SeekLib.path_sig'squares/green-square.jpg'# pretty much samerss=SeekLib.path_sig'squares/red-square.jpg'# a bit differentSeekLib.calc_diff(bss,gss) + 50# => 18.641717640766657SeekLib.calc_diff(gss,bss) + 50# => 18.641717640766657 (thank god)SeekLib.calc_diff(bss,rss) + 50# => 46.336210565558794 (whoa!)SeekLib.calc_diff(gss,rss) + 50# => 46.169410374857364 (similar)SeekLib.calc_diff(bss,bss) + 50# => 17.969999238848686SeekLib.calc_diff(gss,gss) + 50# => 17.969999238848686 (wait, diff(a, a) undefined?)SeekLib.calc_diff(rss,rss) + 50# => 9.8899996727705 (yep, unfortunately)

Getting

I've finally published it (well, the hacked-up 'installable' branch) so you can do gem install seeklib. It may even work!

Background discussion

TODO: Add more. Briefly, I was working on a project where I really, really needed a good, fast perceptual hash. pHash, though excellent, was nowhere near adequate in terms of speed. The fact that the fingerprint was ~100x bigger didn't really matter to me (pHash fingerprints are only 8 bytes). The main thing preventing other people from using the imgseek fingerprint is that it was embedded in a mass of ancient code that I doubt anyone wanted to touch. Original is here:

https://github.com/ricardocabral/iskdaemon/blob/master/src/imgSeekLib/imgdb.cpp

No offense intended to Ricardo, who I'm sure has better things to do than clean it up.

It worked beautifully for me, and I made a number of improvements to its performance (which was critical for my project), particularly switching from ImageMagick to CImg. The project is currently stalled, So I figured I'd release it for the next guy who needs a fingerprint library (girls may use it too; I'm not particular).

About

ffi binding for seeklib

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