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Stereo-Vision

This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by using Stereo Cameras.

A video of the project can be found here: https://www.youtube.com/watch?v=xjx4mbZXaNc

It is still an experimental version and further improvements will have to be done.

Contributors

  • Stephane VUJASINOVIC
  • Frederic UHRWEILLER

Requirements

You will need:

  • Two webcams
  • Python installled on your computer
  • A Chessboard for the calibration

Required python packages:

  • numpy
  • openCV
  • openpyxl

"Take_images_for_calibration.py"

You will need to take pictures with both cameras yith this script in order to calibrate the cameras (remove the distorsion and stereo calibration) It is good to take around 30 to 50 pictures with both cameras.

”Main_Stereo_Vision_Prog.py”

This script is used to calibrate the cameras with the pictures previously taken by the script "Take_images_for_calibration.py". A disparity map is then generated and thank to a third order regression, it is possible to measure the distance to a defined object by clicking on it.

Camera used in this project

Cameras used in the projet are: Logitech Webcam C170. C270 and C370 are also fine.

Amazon Links for webcams (best prices):

About

This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by combining two webcams and use them as a Stereo Camera.

Topics

calibrationcameradistancemeasureopencvpicturestereo-vision

Resources

Readme
MIT license
Activity

Stars

399 stars

Watchers

20 watching

Forks

122 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
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Stereo-Vision
This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by using Stereo Cameras.
A video of the project can be found here: https://www.youtube.com/watch?v=xjx4mbZXaNc
It is still an experimental version and further improvements will have to be done.
Contributors
  • Stephane VUJASINOVIC
  • Frederic UHRWEILLER
Requirements
You will need:
  • Two webcams
  • Python installled on your computer
  • A Chessboard for the calibration
Required python packages:
  • numpy
  • openCV
  • openpyxl
"Take_images_for_calibration.py"
You will need to take pictures with both cameras yith this script in order to calibrate the cameras (remove the distorsion and stereo calibration)
It is good to take around 30 to 50 pictures with both cameras.
”Main_Stereo_Vision_Prog.py”
This script is used to calibrate the cameras with the pictures previously taken by the script "Take_images_for_calibration.py".
A disparity map is then generated and thank to a third order regression, it is possible to measure the distance to a defined object by clicking on it.
Camera used in this project
Cameras used in the projet are: Logitech Webcam C170. C270 and C370 are also fine.
Amazon Links for webcams (best prices):
About
This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by combining two webcams and use them as a Stereo Camera.
Topics
calibrationcameradistancemeasureopencvpicturestereo-vision
Resources
Readme
MIT license
Activity
Stars
399 stars
Watchers
20 watching
Forks
122 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");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
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Stereo-Vision
This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by using Stereo Cameras.
A video of the project can be found here: https://www.youtube.com/watch?v=xjx4mbZXaNc
It is still an experimental version and further improvements will have to be done.
Contributors
  • Stephane VUJASINOVIC
  • Frederic UHRWEILLER
Requirements
You will need:
  • Two webcams
  • Python installled on your computer
  • A Chessboard for the calibration
Required python packages:
  • numpy
  • openCV
  • openpyxl
"Take_images_for_calibration.py"
You will need to take pictures with both cameras yith this script in order to calibrate the cameras (remove the distorsion and stereo calibration)
It is good to take around 30 to 50 pictures with both cameras.
”Main_Stereo_Vision_Prog.py”
This script is used to calibrate the cameras with the pictures previously taken by the script "Take_images_for_calibration.py".
A disparity map is then generated and thank to a third order regression, it is possible to measure the distance to a defined object by clicking on it.
Camera used in this project
Cameras used in the projet are: Logitech Webcam C170. C270 and C370 are also fine.
Amazon Links for webcams (best prices):
About
This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by combining two webcams and use them as a Stereo Camera.
Topics
calibrationcameradistancemeasureopencvpicturestereo-vision
Resources
Readme
MIT license
Activity
Stars
399 stars
Watchers
20 watching
Forks
122 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");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
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Stereo-Vision
This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by using Stereo Cameras.
A video of the project can be found here: https://www.youtube.com/watch?v=xjx4mbZXaNc
It is still an experimental version and further improvements will have to be done.
Contributors
  • Stephane VUJASINOVIC
  • Frederic UHRWEILLER
Requirements
You will need:
  • Two webcams
  • Python installled on your computer
  • A Chessboard for the calibration
Required python packages:
  • numpy
  • openCV
  • openpyxl
"Take_images_for_calibration.py"
You will need to take pictures with both cameras yith this script in order to calibrate the cameras (remove the distorsion and stereo calibration)
It is good to take around 30 to 50 pictures with both cameras.
”Main_Stereo_Vision_Prog.py”
This script is used to calibrate the cameras with the pictures previously taken by the script "Take_images_for_calibration.py".
A disparity map is then generated and thank to a third order regression, it is possible to measure the distance to a defined object by clicking on it.
Camera used in this project
Cameras used in the projet are: Logitech Webcam C170. C270 and C370 are also fine.
Amazon Links for webcams (best prices):
About
This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by combining two webcams and use them as a Stereo Camera.
Topics
calibrationcameradistancemeasureopencvpicturestereo-vision
Resources
Readme
MIT license
Activity
Stars
399 stars
Watchers
20 watching
Forks
122 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
Stereo-Vision
This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by using Stereo Cameras.
A video of the project can be found here: https://www.youtube.com/watch?v=xjx4mbZXaNc
It is still an experimental version and further improvements will have to be done.
Contributors
  • Stephane VUJASINOVIC
  • Frederic UHRWEILLER
Requirements
You will need:
  • Two webcams
  • Python installled on your computer
  • A Chessboard for the calibration
Required python packages:
  • numpy
  • openCV
  • openpyxl
"Take_images_for_calibration.py"
You will need to take pictures with both cameras yith this script in order to calibrate the cameras (remove the distorsion and stereo calibration)
It is good to take around 30 to 50 pictures with both cameras.
”Main_Stereo_Vision_Prog.py”
This script is used to calibrate the cameras with the pictures previously taken by the script "Take_images_for_calibration.py".
A disparity map is then generated and thank to a third order regression, it is possible to measure the distance to a defined object by clicking on it.
Camera used in this project
Cameras used in the projet are: Logitech Webcam C170. C270 and C370 are also fine.
Amazon Links for webcams (best prices):
About
This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by combining two webcams and use them as a Stereo Camera.
Topics
calibrationcameradistancemeasureopencvpicturestereo-vision
Resources
Readme
MIT license
Activity
Stars
399 stars
Watchers
20 watching
Forks
122 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");
}
} 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
Stereo-Vision
This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by using Stereo Cameras.
A video of the project can be found here: https://www.youtube.com/watch?v=xjx4mbZXaNc
It is still an experimental version and further improvements will have to be done.
Contributors
  • Stephane VUJASINOVIC
  • Frederic UHRWEILLER
Requirements
You will need:
  • Two webcams
  • Python installled on your computer
  • A Chessboard for the calibration
Required python packages:
  • numpy
  • openCV
  • openpyxl
"Take_images_for_calibration.py"
You will need to take pictures with both cameras yith this script in order to calibrate the cameras (remove the distorsion and stereo calibration)
It is good to take around 30 to 50 pictures with both cameras.
”Main_Stereo_Vision_Prog.py”
This script is used to calibrate the cameras with the pictures previously taken by the script "Take_images_for_calibration.py".
A disparity map is then generated and thank to a third order regression, it is possible to measure the distance to a defined object by clicking on it.
Camera used in this project
Cameras used in the projet are: Logitech Webcam C170. C270 and C370 are also fine.
Amazon Links for webcams (best prices):
About
This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by combining two webcams and use them as a Stereo Camera.
Topics
calibrationcameradistancemeasureopencvpicturestereo-vision
Resources
Readme
MIT license
Activity
Stars
399 stars
Watchers
20 watching
Forks
122 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");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Stereo-Vision
This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by using Stereo Cameras.
A video of the project can be found here: https://www.youtube.com/watch?v=xjx4mbZXaNc
It is still an experimental version and further improvements will have to be done.
Contributors
  • Stephane VUJASINOVIC
  • Frederic UHRWEILLER
Requirements
You will need:
  • Two webcams
  • Python installled on your computer
  • A Chessboard for the calibration
Required python packages:
  • numpy
  • openCV
  • openpyxl
"Take_images_for_calibration.py"
You will need to take pictures with both cameras yith this script in order to calibrate the cameras (remove the distorsion and stereo calibration)
It is good to take around 30 to 50 pictures with both cameras.
”Main_Stereo_Vision_Prog.py”
This script is used to calibrate the cameras with the pictures previously taken by the script "Take_images_for_calibration.py".
A disparity map is then generated and thank to a third order regression, it is possible to measure the distance to a defined object by clicking on it.
Camera used in this project
Cameras used in the projet are: Logitech Webcam C170. C270 and C370 are also fine.
Amazon Links for webcams (best prices):
About
This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by combining two webcams and use them as a Stereo Camera.
Topics
calibrationcameradistancemeasureopencvpicturestereo-vision
Resources
Readme
MIT license
Activity
Stars
399 stars
Watchers
20 watching
Forks
122 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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Stereo-Vision
This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by using Stereo Cameras.
A video of the project can be found here: https://www.youtube.com/watch?v=xjx4mbZXaNc
It is still an experimental version and further improvements will have to be done.
Contributors
  • Stephane VUJASINOVIC
  • Frederic UHRWEILLER
Requirements
You will need:
  • Two webcams
  • Python installled on your computer
  • A Chessboard for the calibration
Required python packages:
  • numpy
  • openCV
  • openpyxl
"Take_images_for_calibration.py"
You will need to take pictures with both cameras yith this script in order to calibrate the cameras (remove the distorsion and stereo calibration)
It is good to take around 30 to 50 pictures with both cameras.
”Main_Stereo_Vision_Prog.py”
This script is used to calibrate the cameras with the pictures previously taken by the script "Take_images_for_calibration.py".
A disparity map is then generated and thank to a third order regression, it is possible to measure the distance to a defined object by clicking on it.
Camera used in this project
Cameras used in the projet are: Logitech Webcam C170. C270 and C370 are also fine.
Amazon Links for webcams (best prices):
About
This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by combining two webcams and use them as a Stereo Camera.
Topics
calibrationcameradistancemeasureopencvpicturestereo-vision
Resources
Readme
MIT license
Activity
Stars
399 stars
Watchers
20 watching
Forks
122 forks
Report repository
Releases
Packages
Used by
Contributors
Languages