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###################################################################

Data Flow

Christoph Vogel, Konrad Schindler and Stefan Roth

GCPR 2013

Copyright 2013-2015 ETH Zurich (Christoph Vogel)

###################################################################

ABOUT: This software implements our approach to optical flow estimation [1] with several data cost functions.

The additional and optional library

  • Eigen is not included.

To download that package follow the link: http://eigen.tuxfamily.org/index.php?title=Main_Page and read the licensing information provided there.

========================================================================== DISCLAIMER: This demo software has been rewritten for the sake of simplifying the implementation. Therefore, the results produced by the code may differ from those presented in the papers [1]. In fact the results should be better on the KITTI dataset: http://www.cvlibs.net/datasets/kitti/.

==========================================================================

IMPORTANT: If you use this software you should cite the following in any resulting publication:

[1] An Evaluation of Data Costs for Optical Flow
C. Vogel, S. Roth and K. Schindler
In GCPR, Saarbruecken, Germany, September 2013

INSTALLING & RUNNING

  1. (Optional) Download and install eigen from http://eigen.tuxfamily.org/index.php?title=Main_Page and place it into the folder ./Source. Alternatively one can change the switch in the file compileMex to compile a slightly slower standalone version.

  2. Start MATLAB and run compileMex.m to build the utilities binaries. (This step can be omitted if you are using Windows 64 bit or Unix 64 bit And do not want ot use OpenMP.) Adjust the compiler flags accordingly for your purposes (defaults should work in most cases).

  3. From folder DataFlow run calltest( xx ) - example given as comment in the code. This will execute a KITTI example.

  4. Otherwise load images I1, I2 and run : flow = Data_flow(1.25/255, 12.333, 3, 0.9, I1, I2, 10, 2, 1, 0, 0.5, 16, 0, 1) 'flow' contains the computed 2d flow as usual. Here I1, I2 are the input images (gray-level only so far). All parameter are explained in the script, Data_flow.

Note that the code should perform slightly better as published.

CHANGES 1.0 April 19, 2014 Initial public release

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Optical flow code with several data cost functions

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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###################################################################
Data Flow
Christoph Vogel, Konrad Schindler and Stefan Roth
GCPR 2013
Copyright 2013-2015 ETH Zurich (Christoph Vogel)
###################################################################
ABOUT:
This software implements our approach to optical flow estimation [1]
with several data cost functions.
The additional and optional library
  • Eigen
is not included.
To download that package follow the link:
http://eigen.tuxfamily.org/index.php?title=Main_Page
and read the licensing information provided there.
==========================================================================
DISCLAIMER:
This demo software has been rewritten for the sake of simplifying the
implementation. Therefore, the results produced by the code may differ
from those presented in the papers [1].
In fact the results should be better on the KITTI dataset:
http://www.cvlibs.net/datasets/kitti/.
==========================================================================
IMPORTANT:
If you use this software you should cite the following in any resulting publication:
[1] An Evaluation of Data Costs for Optical Flow
C. Vogel, S. Roth and K. Schindler
In GCPR, Saarbruecken, Germany, September 2013

INSTALLING & RUNNING
  1. (Optional) Download and install eigen from
http://eigen.tuxfamily.org/index.php?title=Main_Page
and place it into the folder ./Source.
Alternatively one can change the switch in the file compileMex
to compile a slightly slower standalone version.
  2. Start MATLAB and run compileMex.m to build the utilities binaries.
(This step can be omitted if you are using Windows 64 bit or Unix 64 bit
And do not want ot use OpenMP.)
Adjust the compiler flags accordingly for your purposes
(defaults should work in most cases).
  3. From folder DataFlow run calltest( xx ) -
example given as comment in the code.
This will execute a KITTI example.
  4. Otherwise load images I1, I2 and run :
flow = Data_flow(1.25/255, 12.333, 3, 0.9, I1, I2, 10, 2, 1, 0, 0.5, 16, 0, 1)
'flow' contains the computed 2d flow as usual.
Here I1, I2 are the input images (gray-level only so far).
All parameter are explained in the script, Data_flow.
Note that the code should perform slightly better as published.
CHANGES
1.0 April 19, 2014	Initial public release
About
Optical flow code with several data cost functions
Resources
Readme
Activity
Stars
12 stars
Watchers
3 watching
Forks
9 forks
Report repository
Releases
Packages
Contributors
Languages

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

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###################################################################
Data Flow
Christoph Vogel, Konrad Schindler and Stefan Roth
GCPR 2013
Copyright 2013-2015 ETH Zurich (Christoph Vogel)
###################################################################
ABOUT:
This software implements our approach to optical flow estimation [1]
with several data cost functions.
The additional and optional library
  • Eigen
is not included.
To download that package follow the link:
http://eigen.tuxfamily.org/index.php?title=Main_Page
and read the licensing information provided there.
==========================================================================
DISCLAIMER:
This demo software has been rewritten for the sake of simplifying the
implementation. Therefore, the results produced by the code may differ
from those presented in the papers [1].
In fact the results should be better on the KITTI dataset:
http://www.cvlibs.net/datasets/kitti/.
==========================================================================
IMPORTANT:
If you use this software you should cite the following in any resulting publication:
[1] An Evaluation of Data Costs for Optical Flow
C. Vogel, S. Roth and K. Schindler
In GCPR, Saarbruecken, Germany, September 2013

INSTALLING & RUNNING
  1. (Optional) Download and install eigen from
http://eigen.tuxfamily.org/index.php?title=Main_Page
and place it into the folder ./Source.
Alternatively one can change the switch in the file compileMex
to compile a slightly slower standalone version.
  2. Start MATLAB and run compileMex.m to build the utilities binaries.
(This step can be omitted if you are using Windows 64 bit or Unix 64 bit
And do not want ot use OpenMP.)
Adjust the compiler flags accordingly for your purposes
(defaults should work in most cases).
  3. From folder DataFlow run calltest( xx ) -
example given as comment in the code.
This will execute a KITTI example.
  4. Otherwise load images I1, I2 and run :
flow = Data_flow(1.25/255, 12.333, 3, 0.9, I1, I2, 10, 2, 1, 0, 0.5, 16, 0, 1)
'flow' contains the computed 2d flow as usual.
Here I1, I2 are the input images (gray-level only so far).
All parameter are explained in the script, Data_flow.
Note that the code should perform slightly better as published.
CHANGES
1.0 April 19, 2014	Initial public release
About
Optical flow code with several data cost functions
Resources
Readme
Activity
Stars
12 stars
Watchers
3 watching
Forks
9 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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###################################################################
Data Flow
Christoph Vogel, Konrad Schindler and Stefan Roth
GCPR 2013
Copyright 2013-2015 ETH Zurich (Christoph Vogel)
###################################################################
ABOUT:
This software implements our approach to optical flow estimation [1]
with several data cost functions.
The additional and optional library
  • Eigen
is not included.
To download that package follow the link:
http://eigen.tuxfamily.org/index.php?title=Main_Page
and read the licensing information provided there.
==========================================================================
DISCLAIMER:
This demo software has been rewritten for the sake of simplifying the
implementation. Therefore, the results produced by the code may differ
from those presented in the papers [1].
In fact the results should be better on the KITTI dataset:
http://www.cvlibs.net/datasets/kitti/.
==========================================================================
IMPORTANT:
If you use this software you should cite the following in any resulting publication:
[1] An Evaluation of Data Costs for Optical Flow
C. Vogel, S. Roth and K. Schindler
In GCPR, Saarbruecken, Germany, September 2013

INSTALLING & RUNNING
  1. (Optional) Download and install eigen from
http://eigen.tuxfamily.org/index.php?title=Main_Page
and place it into the folder ./Source.
Alternatively one can change the switch in the file compileMex
to compile a slightly slower standalone version.
  2. Start MATLAB and run compileMex.m to build the utilities binaries.
(This step can be omitted if you are using Windows 64 bit or Unix 64 bit
And do not want ot use OpenMP.)
Adjust the compiler flags accordingly for your purposes
(defaults should work in most cases).
  3. From folder DataFlow run calltest( xx ) -
example given as comment in the code.
This will execute a KITTI example.
  4. Otherwise load images I1, I2 and run :
flow = Data_flow(1.25/255, 12.333, 3, 0.9, I1, I2, 10, 2, 1, 0, 0.5, 16, 0, 1)
'flow' contains the computed 2d flow as usual.
Here I1, I2 are the input images (gray-level only so far).
All parameter are explained in the script, Data_flow.
Note that the code should perform slightly better as published.
CHANGES
1.0 April 19, 2014	Initial public release
About
Optical flow code with several data cost functions
Resources
Readme
Activity
Stars
12 stars
Watchers
3 watching
Forks
9 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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###################################################################
Data Flow
Christoph Vogel, Konrad Schindler and Stefan Roth
GCPR 2013
Copyright 2013-2015 ETH Zurich (Christoph Vogel)
###################################################################
ABOUT:
This software implements our approach to optical flow estimation [1]
with several data cost functions.
The additional and optional library
  • Eigen
is not included.
To download that package follow the link:
http://eigen.tuxfamily.org/index.php?title=Main_Page
and read the licensing information provided there.
==========================================================================
DISCLAIMER:
This demo software has been rewritten for the sake of simplifying the
implementation. Therefore, the results produced by the code may differ
from those presented in the papers [1].
In fact the results should be better on the KITTI dataset:
http://www.cvlibs.net/datasets/kitti/.
==========================================================================
IMPORTANT:
If you use this software you should cite the following in any resulting publication:
[1] An Evaluation of Data Costs for Optical Flow
C. Vogel, S. Roth and K. Schindler
In GCPR, Saarbruecken, Germany, September 2013

INSTALLING & RUNNING
  1. (Optional) Download and install eigen from
http://eigen.tuxfamily.org/index.php?title=Main_Page
and place it into the folder ./Source.
Alternatively one can change the switch in the file compileMex
to compile a slightly slower standalone version.
  2. Start MATLAB and run compileMex.m to build the utilities binaries.
(This step can be omitted if you are using Windows 64 bit or Unix 64 bit
And do not want ot use OpenMP.)
Adjust the compiler flags accordingly for your purposes
(defaults should work in most cases).
  3. From folder DataFlow run calltest( xx ) -
example given as comment in the code.
This will execute a KITTI example.
  4. Otherwise load images I1, I2 and run :
flow = Data_flow(1.25/255, 12.333, 3, 0.9, I1, I2, 10, 2, 1, 0, 0.5, 16, 0, 1)
'flow' contains the computed 2d flow as usual.
Here I1, I2 are the input images (gray-level only so far).
All parameter are explained in the script, Data_flow.
Note that the code should perform slightly better as published.
CHANGES
1.0 April 19, 2014	Initial public release
About
Optical flow code with several data cost functions
Resources
Readme
Activity
Stars
12 stars
Watchers
3 watching
Forks
9 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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###################################################################
Data Flow
Christoph Vogel, Konrad Schindler and Stefan Roth
GCPR 2013
Copyright 2013-2015 ETH Zurich (Christoph Vogel)
###################################################################
ABOUT:
This software implements our approach to optical flow estimation [1]
with several data cost functions.
The additional and optional library
  • Eigen
is not included.
To download that package follow the link:
http://eigen.tuxfamily.org/index.php?title=Main_Page
and read the licensing information provided there.
==========================================================================
DISCLAIMER:
This demo software has been rewritten for the sake of simplifying the
implementation. Therefore, the results produced by the code may differ
from those presented in the papers [1].
In fact the results should be better on the KITTI dataset:
http://www.cvlibs.net/datasets/kitti/.
==========================================================================
IMPORTANT:
If you use this software you should cite the following in any resulting publication:
[1] An Evaluation of Data Costs for Optical Flow
C. Vogel, S. Roth and K. Schindler
In GCPR, Saarbruecken, Germany, September 2013

INSTALLING & RUNNING
  1. (Optional) Download and install eigen from
http://eigen.tuxfamily.org/index.php?title=Main_Page
and place it into the folder ./Source.
Alternatively one can change the switch in the file compileMex
to compile a slightly slower standalone version.
  2. Start MATLAB and run compileMex.m to build the utilities binaries.
(This step can be omitted if you are using Windows 64 bit or Unix 64 bit
And do not want ot use OpenMP.)
Adjust the compiler flags accordingly for your purposes
(defaults should work in most cases).
  3. From folder DataFlow run calltest( xx ) -
example given as comment in the code.
This will execute a KITTI example.
  4. Otherwise load images I1, I2 and run :
flow = Data_flow(1.25/255, 12.333, 3, 0.9, I1, I2, 10, 2, 1, 0, 0.5, 16, 0, 1)
'flow' contains the computed 2d flow as usual.
Here I1, I2 are the input images (gray-level only so far).
All parameter are explained in the script, Data_flow.
Note that the code should perform slightly better as published.
CHANGES
1.0 April 19, 2014	Initial public release
About
Optical flow code with several data cost functions
Resources
Readme
Activity
Stars
12 stars
Watchers
3 watching
Forks
9 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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###################################################################
Data Flow
Christoph Vogel, Konrad Schindler and Stefan Roth
GCPR 2013
Copyright 2013-2015 ETH Zurich (Christoph Vogel)
###################################################################
ABOUT:
This software implements our approach to optical flow estimation [1]
with several data cost functions.
The additional and optional library
  • Eigen
is not included.
To download that package follow the link:
http://eigen.tuxfamily.org/index.php?title=Main_Page
and read the licensing information provided there.
==========================================================================
DISCLAIMER:
This demo software has been rewritten for the sake of simplifying the
implementation. Therefore, the results produced by the code may differ
from those presented in the papers [1].
In fact the results should be better on the KITTI dataset:
http://www.cvlibs.net/datasets/kitti/.
==========================================================================
IMPORTANT:
If you use this software you should cite the following in any resulting publication:
[1] An Evaluation of Data Costs for Optical Flow
C. Vogel, S. Roth and K. Schindler
In GCPR, Saarbruecken, Germany, September 2013

INSTALLING & RUNNING
  1. (Optional) Download and install eigen from
http://eigen.tuxfamily.org/index.php?title=Main_Page
and place it into the folder ./Source.
Alternatively one can change the switch in the file compileMex
to compile a slightly slower standalone version.
  2. Start MATLAB and run compileMex.m to build the utilities binaries.
(This step can be omitted if you are using Windows 64 bit or Unix 64 bit
And do not want ot use OpenMP.)
Adjust the compiler flags accordingly for your purposes
(defaults should work in most cases).
  3. From folder DataFlow run calltest( xx ) -
example given as comment in the code.
This will execute a KITTI example.
  4. Otherwise load images I1, I2 and run :
flow = Data_flow(1.25/255, 12.333, 3, 0.9, I1, I2, 10, 2, 1, 0, 0.5, 16, 0, 1)
'flow' contains the computed 2d flow as usual.
Here I1, I2 are the input images (gray-level only so far).
All parameter are explained in the script, Data_flow.
Note that the code should perform slightly better as published.
CHANGES
1.0 April 19, 2014	Initial public release
About
Optical flow code with several data cost functions
Resources
Readme
Activity
Stars
12 stars
Watchers
3 watching
Forks
9 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");
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} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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###################################################################
Data Flow
Christoph Vogel, Konrad Schindler and Stefan Roth
GCPR 2013
Copyright 2013-2015 ETH Zurich (Christoph Vogel)
###################################################################
ABOUT:
This software implements our approach to optical flow estimation [1]
with several data cost functions.
The additional and optional library
  • Eigen
is not included.
To download that package follow the link:
http://eigen.tuxfamily.org/index.php?title=Main_Page
and read the licensing information provided there.
==========================================================================
DISCLAIMER:
This demo software has been rewritten for the sake of simplifying the
implementation. Therefore, the results produced by the code may differ
from those presented in the papers [1].
In fact the results should be better on the KITTI dataset:
http://www.cvlibs.net/datasets/kitti/.
==========================================================================
IMPORTANT:
If you use this software you should cite the following in any resulting publication:
[1] An Evaluation of Data Costs for Optical Flow
C. Vogel, S. Roth and K. Schindler
In GCPR, Saarbruecken, Germany, September 2013

INSTALLING & RUNNING
  1. (Optional) Download and install eigen from
http://eigen.tuxfamily.org/index.php?title=Main_Page
and place it into the folder ./Source.
Alternatively one can change the switch in the file compileMex
to compile a slightly slower standalone version.
  2. Start MATLAB and run compileMex.m to build the utilities binaries.
(This step can be omitted if you are using Windows 64 bit or Unix 64 bit
And do not want ot use OpenMP.)
Adjust the compiler flags accordingly for your purposes
(defaults should work in most cases).
  3. From folder DataFlow run calltest( xx ) -
example given as comment in the code.
This will execute a KITTI example.
  4. Otherwise load images I1, I2 and run :
flow = Data_flow(1.25/255, 12.333, 3, 0.9, I1, I2, 10, 2, 1, 0, 0.5, 16, 0, 1)
'flow' contains the computed 2d flow as usual.
Here I1, I2 are the input images (gray-level only so far).
All parameter are explained in the script, Data_flow.
Note that the code should perform slightly better as published.
CHANGES
1.0 April 19, 2014	Initial public release
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Optical flow code with several data cost functions
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