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CALTag

News

2018-05-21: LAUCalTagWidget: Daniel Lau has built a real-time implementation of CALTag, available here.

Instructions

1. Requirements:

  • MATLAB (tested with R2010a) with Image Processing toolbox. It has been reported broken in MATLAB 2014. You can work around the problem by copying the kmeans function from an earlier version of MATLAB, or uncommenting the "MATLAB 2014" lines in caltag.m
  • MATLAB Optimization toolbox (lsqnonlin)
  • MATLAB Statistics and Machine Learning toolbox (means)
  • Python (tested with 2.6)

2. Create pattern and datafile:

Run the generate_pattern.py script and convert the ps file to pdf, e.g.:

$ cd GeneratePattern
$ chmod u+x generate_pattern
$ ./generate_pattern -r 8 -c 4

This will produce an output.ps and output.mat file Convert the ps to pdf for easier printing:

$ ps2pdf output.ps output.pdf

Print the output.pdf file, mount it to a flat surface and photograph it.

3. Run CALTag:

Download the photos and start Matlab. Please note that Matlab 2010a or later is required, since parts of the code make use of the new "[~,x] = func()" syntax to ignore some return values. These can be easily replaced with junk variables if you wish to run on an older version of Matlab. The one other point of incompatibility is the use of the "bwconncomp" and "regionprops" functions, which have altered their semantics in recent versions for reduced memory use. See here for details.

Add CALTag to your path

> addpath( '/path/to/caltag' )

Load an image and run CALTag

>> I= imread( 'IMG001.jpg' );
>> [wPt,iPt] = caltag( I, '/path/to/caltag/GeneratePattern/output.mat', false);

The second argument is the location of the datafile produced by generate_pattern. It contains all the parameters of your particular pattern. The third argument may be set to true if you want to see debugging information.

This will return two matrices (or nulls, if no pattern is detected). World points are in wPt, image-space points are in iPt. These are both Nx2 matrices where each row corresponds to a [y,x] coordinate. Note that the image points are in Matlab-style 1-based [row,col] coordinates. There is a flag in the code you can switch if you prefer C-style 0-based [x,y] coordinates, or else you can just modify the return value.

Support

This code is supported on a best-effort basis. I have no plans to make any further modifications.

About

Camera CALibration Tags

www.cs.ubc.ca/labs/imager/tr/2010/Atcheson_VMV2010_CALTag/

Resources

Readme
Activity

Stars

55 stars

Watchers

5 watching

Forks

21 forks
Report repository

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Used by

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var __m = "github.com";
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Skip to content
BranchesTags
Repository files navigation
CALTag
News
2018-05-21: LAUCalTagWidget: Daniel Lau has built a real-time implementation of CALTag, available here.
Instructions
1. Requirements:
  • MATLAB (tested with R2010a) with Image Processing toolbox. It has been reported broken in MATLAB 2014. You can work around the problem by copying the kmeans function from an earlier version of MATLAB, or uncommenting the "MATLAB 2014" lines in caltag.m
  • MATLAB Optimization toolbox (lsqnonlin)
  • MATLAB Statistics and Machine Learning toolbox (means)
  • Python (tested with 2.6)
2. Create pattern and datafile:
Run the generate_pattern.py script and convert the ps file to pdf, e.g.:
$ cd GeneratePattern
$ chmod u+x generate_pattern
$ ./generate_pattern -r 8 -c 4
This will produce an output.ps and output.mat file
Convert the ps to pdf for easier printing:
$ ps2pdf output.ps output.pdf
Print the output.pdf file, mount it to a flat surface and photograph it.
3. Run CALTag:
Download the photos and start Matlab. Please note that Matlab 2010a or later is
required, since parts of the code make use of the new "[~,x] = func()" syntax
to ignore some return values. These can be easily replaced with junk variables
if you wish to run on an older version of Matlab. The one other point of
incompatibility is the use of the "bwconncomp" and "regionprops" functions,
which have altered their semantics in recent versions for reduced memory use.
See
here
for details.
Add CALTag to your path
> addpath( '/path/to/caltag' )
Load an image and run CALTag
>> I= imread( 'IMG001.jpg' );
>> [wPt,iPt] = caltag( I, '/path/to/caltag/GeneratePattern/output.mat', false);
The second argument is the location of the datafile produced by
generate_pattern. It contains all the parameters of your particular pattern.
The third argument may be set to true if you want to see debugging information.
This will return two matrices (or nulls, if no pattern is detected). World
points are in wPt, image-space points are in iPt. These are both Nx2 matrices
where each row corresponds to a [y,x] coordinate. Note that the image points
are in Matlab-style 1-based [row,col] coordinates. There is a flag in the code
you can switch if you prefer C-style 0-based [x,y] coordinates, or else you can
just modify the return value.
Support
This code is supported on a best-effort basis. I have no plans to make any further modifications.
About
Camera CALibration Tags
www.cs.ubc.ca/labs/imager/tr/2010/Atcheson_VMV2010_CALTag/
Resources
Readme
Activity
Stars
55 stars
Watchers
5 watching
Forks
21 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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

Skip to content
BranchesTags
Repository files navigation
CALTag
News
2018-05-21: LAUCalTagWidget: Daniel Lau has built a real-time implementation of CALTag, available here.
Instructions
1. Requirements:
  • MATLAB (tested with R2010a) with Image Processing toolbox. It has been reported broken in MATLAB 2014. You can work around the problem by copying the kmeans function from an earlier version of MATLAB, or uncommenting the "MATLAB 2014" lines in caltag.m
  • MATLAB Optimization toolbox (lsqnonlin)
  • MATLAB Statistics and Machine Learning toolbox (means)
  • Python (tested with 2.6)
2. Create pattern and datafile:
Run the generate_pattern.py script and convert the ps file to pdf, e.g.:
$ cd GeneratePattern
$ chmod u+x generate_pattern
$ ./generate_pattern -r 8 -c 4
This will produce an output.ps and output.mat file
Convert the ps to pdf for easier printing:
$ ps2pdf output.ps output.pdf
Print the output.pdf file, mount it to a flat surface and photograph it.
3. Run CALTag:
Download the photos and start Matlab. Please note that Matlab 2010a or later is
required, since parts of the code make use of the new "[~,x] = func()" syntax
to ignore some return values. These can be easily replaced with junk variables
if you wish to run on an older version of Matlab. The one other point of
incompatibility is the use of the "bwconncomp" and "regionprops" functions,
which have altered their semantics in recent versions for reduced memory use.
See
here
for details.
Add CALTag to your path
> addpath( '/path/to/caltag' )
Load an image and run CALTag
>> I= imread( 'IMG001.jpg' );
>> [wPt,iPt] = caltag( I, '/path/to/caltag/GeneratePattern/output.mat', false);
The second argument is the location of the datafile produced by
generate_pattern. It contains all the parameters of your particular pattern.
The third argument may be set to true if you want to see debugging information.
This will return two matrices (or nulls, if no pattern is detected). World
points are in wPt, image-space points are in iPt. These are both Nx2 matrices
where each row corresponds to a [y,x] coordinate. Note that the image points
are in Matlab-style 1-based [row,col] coordinates. There is a flag in the code
you can switch if you prefer C-style 0-based [x,y] coordinates, or else you can
just modify the return value.
Support
This code is supported on a best-effort basis. I have no plans to make any further modifications.
About
Camera CALibration Tags
www.cs.ubc.ca/labs/imager/tr/2010/Atcheson_VMV2010_CALTag/
Resources
Readme
Activity
Stars
55 stars
Watchers
5 watching
Forks
21 forks
Report repository
Releases
Packages
Used by
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");
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
CALTag
News
2018-05-21: LAUCalTagWidget: Daniel Lau has built a real-time implementation of CALTag, available here.
Instructions
1. Requirements:
  • MATLAB (tested with R2010a) with Image Processing toolbox. It has been reported broken in MATLAB 2014. You can work around the problem by copying the kmeans function from an earlier version of MATLAB, or uncommenting the "MATLAB 2014" lines in caltag.m
  • MATLAB Optimization toolbox (lsqnonlin)
  • MATLAB Statistics and Machine Learning toolbox (means)
  • Python (tested with 2.6)
2. Create pattern and datafile:
Run the generate_pattern.py script and convert the ps file to pdf, e.g.:
$ cd GeneratePattern
$ chmod u+x generate_pattern
$ ./generate_pattern -r 8 -c 4
This will produce an output.ps and output.mat file
Convert the ps to pdf for easier printing:
$ ps2pdf output.ps output.pdf
Print the output.pdf file, mount it to a flat surface and photograph it.
3. Run CALTag:
Download the photos and start Matlab. Please note that Matlab 2010a or later is
required, since parts of the code make use of the new "[~,x] = func()" syntax
to ignore some return values. These can be easily replaced with junk variables
if you wish to run on an older version of Matlab. The one other point of
incompatibility is the use of the "bwconncomp" and "regionprops" functions,
which have altered their semantics in recent versions for reduced memory use.
See
here
for details.
Add CALTag to your path
> addpath( '/path/to/caltag' )
Load an image and run CALTag
>> I= imread( 'IMG001.jpg' );
>> [wPt,iPt] = caltag( I, '/path/to/caltag/GeneratePattern/output.mat', false);
The second argument is the location of the datafile produced by
generate_pattern. It contains all the parameters of your particular pattern.
The third argument may be set to true if you want to see debugging information.
This will return two matrices (or nulls, if no pattern is detected). World
points are in wPt, image-space points are in iPt. These are both Nx2 matrices
where each row corresponds to a [y,x] coordinate. Note that the image points
are in Matlab-style 1-based [row,col] coordinates. There is a flag in the code
you can switch if you prefer C-style 0-based [x,y] coordinates, or else you can
just modify the return value.
Support
This code is supported on a best-effort basis. I have no plans to make any further modifications.
About
Camera CALibration Tags
www.cs.ubc.ca/labs/imager/tr/2010/Atcheson_VMV2010_CALTag/
Resources
Readme
Activity
Stars
55 stars
Watchers
5 watching
Forks
21 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

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

Skip to content
BranchesTags
Repository files navigation
CALTag
News
2018-05-21: LAUCalTagWidget: Daniel Lau has built a real-time implementation of CALTag, available here.
Instructions
1. Requirements:
  • MATLAB (tested with R2010a) with Image Processing toolbox. It has been reported broken in MATLAB 2014. You can work around the problem by copying the kmeans function from an earlier version of MATLAB, or uncommenting the "MATLAB 2014" lines in caltag.m
  • MATLAB Optimization toolbox (lsqnonlin)
  • MATLAB Statistics and Machine Learning toolbox (means)
  • Python (tested with 2.6)
2. Create pattern and datafile:
Run the generate_pattern.py script and convert the ps file to pdf, e.g.:
$ cd GeneratePattern
$ chmod u+x generate_pattern
$ ./generate_pattern -r 8 -c 4
This will produce an output.ps and output.mat file
Convert the ps to pdf for easier printing:
$ ps2pdf output.ps output.pdf
Print the output.pdf file, mount it to a flat surface and photograph it.
3. Run CALTag:
Download the photos and start Matlab. Please note that Matlab 2010a or later is
required, since parts of the code make use of the new "[~,x] = func()" syntax
to ignore some return values. These can be easily replaced with junk variables
if you wish to run on an older version of Matlab. The one other point of
incompatibility is the use of the "bwconncomp" and "regionprops" functions,
which have altered their semantics in recent versions for reduced memory use.
See
here
for details.
Add CALTag to your path
> addpath( '/path/to/caltag' )
Load an image and run CALTag
>> I= imread( 'IMG001.jpg' );
>> [wPt,iPt] = caltag( I, '/path/to/caltag/GeneratePattern/output.mat', false);
The second argument is the location of the datafile produced by
generate_pattern. It contains all the parameters of your particular pattern.
The third argument may be set to true if you want to see debugging information.
This will return two matrices (or nulls, if no pattern is detected). World
points are in wPt, image-space points are in iPt. These are both Nx2 matrices
where each row corresponds to a [y,x] coordinate. Note that the image points
are in Matlab-style 1-based [row,col] coordinates. There is a flag in the code
you can switch if you prefer C-style 0-based [x,y] coordinates, or else you can
just modify the return value.
Support
This code is supported on a best-effort basis. I have no plans to make any further modifications.
About
Camera CALibration Tags
www.cs.ubc.ca/labs/imager/tr/2010/Atcheson_VMV2010_CALTag/
Resources
Readme
Activity
Stars
55 stars
Watchers
5 watching
Forks
21 forks
Report repository
Releases
Packages
Used by
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");
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} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
CALTag
News
2018-05-21: LAUCalTagWidget: Daniel Lau has built a real-time implementation of CALTag, available here.
Instructions
1. Requirements:
  • MATLAB (tested with R2010a) with Image Processing toolbox. It has been reported broken in MATLAB 2014. You can work around the problem by copying the kmeans function from an earlier version of MATLAB, or uncommenting the "MATLAB 2014" lines in caltag.m
  • MATLAB Optimization toolbox (lsqnonlin)
  • MATLAB Statistics and Machine Learning toolbox (means)
  • Python (tested with 2.6)
2. Create pattern and datafile:
Run the generate_pattern.py script and convert the ps file to pdf, e.g.:
$ cd GeneratePattern
$ chmod u+x generate_pattern
$ ./generate_pattern -r 8 -c 4
This will produce an output.ps and output.mat file
Convert the ps to pdf for easier printing:
$ ps2pdf output.ps output.pdf
Print the output.pdf file, mount it to a flat surface and photograph it.
3. Run CALTag:
Download the photos and start Matlab. Please note that Matlab 2010a or later is
required, since parts of the code make use of the new "[~,x] = func()" syntax
to ignore some return values. These can be easily replaced with junk variables
if you wish to run on an older version of Matlab. The one other point of
incompatibility is the use of the "bwconncomp" and "regionprops" functions,
which have altered their semantics in recent versions for reduced memory use.
See
here
for details.
Add CALTag to your path
> addpath( '/path/to/caltag' )
Load an image and run CALTag
>> I= imread( 'IMG001.jpg' );
>> [wPt,iPt] = caltag( I, '/path/to/caltag/GeneratePattern/output.mat', false);
The second argument is the location of the datafile produced by
generate_pattern. It contains all the parameters of your particular pattern.
The third argument may be set to true if you want to see debugging information.
This will return two matrices (or nulls, if no pattern is detected). World
points are in wPt, image-space points are in iPt. These are both Nx2 matrices
where each row corresponds to a [y,x] coordinate. Note that the image points
are in Matlab-style 1-based [row,col] coordinates. There is a flag in the code
you can switch if you prefer C-style 0-based [x,y] coordinates, or else you can
just modify the return value.
Support
This code is supported on a best-effort basis. I have no plans to make any further modifications.
About
Camera CALibration Tags
www.cs.ubc.ca/labs/imager/tr/2010/Atcheson_VMV2010_CALTag/
Resources
Readme
Activity
Stars
55 stars
Watchers
5 watching
Forks
21 forks
Report repository
Releases
Packages
Used by
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");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
CALTag
News
2018-05-21: LAUCalTagWidget: Daniel Lau has built a real-time implementation of CALTag, available here.
Instructions
1. Requirements:
  • MATLAB (tested with R2010a) with Image Processing toolbox. It has been reported broken in MATLAB 2014. You can work around the problem by copying the kmeans function from an earlier version of MATLAB, or uncommenting the "MATLAB 2014" lines in caltag.m
  • MATLAB Optimization toolbox (lsqnonlin)
  • MATLAB Statistics and Machine Learning toolbox (means)
  • Python (tested with 2.6)
2. Create pattern and datafile:
Run the generate_pattern.py script and convert the ps file to pdf, e.g.:
$ cd GeneratePattern
$ chmod u+x generate_pattern
$ ./generate_pattern -r 8 -c 4
This will produce an output.ps and output.mat file
Convert the ps to pdf for easier printing:
$ ps2pdf output.ps output.pdf
Print the output.pdf file, mount it to a flat surface and photograph it.
3. Run CALTag:
Download the photos and start Matlab. Please note that Matlab 2010a or later is
required, since parts of the code make use of the new "[~,x] = func()" syntax
to ignore some return values. These can be easily replaced with junk variables
if you wish to run on an older version of Matlab. The one other point of
incompatibility is the use of the "bwconncomp" and "regionprops" functions,
which have altered their semantics in recent versions for reduced memory use.
See
here
for details.
Add CALTag to your path
> addpath( '/path/to/caltag' )
Load an image and run CALTag
>> I= imread( 'IMG001.jpg' );
>> [wPt,iPt] = caltag( I, '/path/to/caltag/GeneratePattern/output.mat', false);
The second argument is the location of the datafile produced by
generate_pattern. It contains all the parameters of your particular pattern.
The third argument may be set to true if you want to see debugging information.
This will return two matrices (or nulls, if no pattern is detected). World
points are in wPt, image-space points are in iPt. These are both Nx2 matrices
where each row corresponds to a [y,x] coordinate. Note that the image points
are in Matlab-style 1-based [row,col] coordinates. There is a flag in the code
you can switch if you prefer C-style 0-based [x,y] coordinates, or else you can
just modify the return value.
Support
This code is supported on a best-effort basis. I have no plans to make any further modifications.
About
Camera CALibration Tags
www.cs.ubc.ca/labs/imager/tr/2010/Atcheson_VMV2010_CALTag/
Resources
Readme
Activity
Stars
55 stars
Watchers
5 watching
Forks
21 forks
Report repository
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Used by
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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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CALTag
News
2018-05-21: LAUCalTagWidget: Daniel Lau has built a real-time implementation of CALTag, available here.
Instructions
1. Requirements:
  • MATLAB (tested with R2010a) with Image Processing toolbox. It has been reported broken in MATLAB 2014. You can work around the problem by copying the kmeans function from an earlier version of MATLAB, or uncommenting the "MATLAB 2014" lines in caltag.m
  • MATLAB Optimization toolbox (lsqnonlin)
  • MATLAB Statistics and Machine Learning toolbox (means)
  • Python (tested with 2.6)
2. Create pattern and datafile:
Run the generate_pattern.py script and convert the ps file to pdf, e.g.:
$ cd GeneratePattern
$ chmod u+x generate_pattern
$ ./generate_pattern -r 8 -c 4
This will produce an output.ps and output.mat file
Convert the ps to pdf for easier printing:
$ ps2pdf output.ps output.pdf
Print the output.pdf file, mount it to a flat surface and photograph it.
3. Run CALTag:
Download the photos and start Matlab. Please note that Matlab 2010a or later is
required, since parts of the code make use of the new "[~,x] = func()" syntax
to ignore some return values. These can be easily replaced with junk variables
if you wish to run on an older version of Matlab. The one other point of
incompatibility is the use of the "bwconncomp" and "regionprops" functions,
which have altered their semantics in recent versions for reduced memory use.
See
here
for details.
Add CALTag to your path
> addpath( '/path/to/caltag' )
Load an image and run CALTag
>> I= imread( 'IMG001.jpg' );
>> [wPt,iPt] = caltag( I, '/path/to/caltag/GeneratePattern/output.mat', false);
The second argument is the location of the datafile produced by
generate_pattern. It contains all the parameters of your particular pattern.
The third argument may be set to true if you want to see debugging information.
This will return two matrices (or nulls, if no pattern is detected). World
points are in wPt, image-space points are in iPt. These are both Nx2 matrices
where each row corresponds to a [y,x] coordinate. Note that the image points
are in Matlab-style 1-based [row,col] coordinates. There is a flag in the code
you can switch if you prefer C-style 0-based [x,y] coordinates, or else you can
just modify the return value.
Support
This code is supported on a best-effort basis. I have no plans to make any further modifications.
About
Camera CALibration Tags
www.cs.ubc.ca/labs/imager/tr/2010/Atcheson_VMV2010_CALTag/
Resources
Readme
Activity
Stars
55 stars
Watchers
5 watching
Forks
21 forks
Report repository
Releases
Packages
Used by
Contributors
Languages