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DATAML300 - Computer Vision course

EX1 - Homogeneous coordinates, Image denoising, Hybrid images

EX2 - Neural Networks and backpropagation, matching images based on similarity

EX3 - HOG descriptors for people detection, Basics of SSD object detector, SSD300 for real-time object detection

EX4 - Hough transform and parameter spaces, Robust line fitting using RANSAC, Matching Harris corner points, Matching SURF regions

EX5 - Similarity transformation from two point correspondences, Homography using SIFT, Real-time face point tracking

EX6 - Fundamental Matrix and Essential Matrix, Camera calibration, Triangulation

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My DATAML300 - Computer vision solutions.

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backpropagationharris-corner-detectorhoghomogeneous-coordinateshomographyhough-transformhybrid-imagesimage-denoisingline-fittingneural-networksparameter-spacepoint-trackingransacreal-timesiftssd300

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

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Repository files navigation
DATAML300 - Computer Vision course
EX1 - Homogeneous coordinates, Image denoising, Hybrid images
EX2 - Neural Networks and backpropagation, matching images based on similarity
EX3 - HOG descriptors for people detection, Basics of SSD object detector, SSD300 for real-time object detection
EX4 - Hough transform and parameter spaces, Robust line fitting using RANSAC, Matching Harris corner points, Matching SURF regions
EX5 - Similarity transformation from two point correspondences, Homography using SIFT, Real-time face point tracking
EX6 - Fundamental Matrix and Essential Matrix, Camera calibration, Triangulation
About
My DATAML300 - Computer vision solutions.
Topics
backpropagationharris-corner-detectorhoghomogeneous-coordinateshomographyhough-transformhybrid-imagesimage-denoisingline-fittingneural-networksparameter-spacepoint-trackingransacreal-timesiftssd300
Resources
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, 'i');
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// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
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Repository files navigation
DATAML300 - Computer Vision course
EX1 - Homogeneous coordinates, Image denoising, Hybrid images
EX2 - Neural Networks and backpropagation, matching images based on similarity
EX3 - HOG descriptors for people detection, Basics of SSD object detector, SSD300 for real-time object detection
EX4 - Hough transform and parameter spaces, Robust line fitting using RANSAC, Matching Harris corner points, Matching SURF regions
EX5 - Similarity transformation from two point correspondences, Homography using SIFT, Real-time face point tracking
EX6 - Fundamental Matrix and Essential Matrix, Camera calibration, Triangulation
About
My DATAML300 - Computer vision solutions.
Topics
backpropagationharris-corner-detectorhoghomogeneous-coordinateshomographyhough-transformhybrid-imagesimage-denoisingline-fittingneural-networksparameter-spacepoint-trackingransacreal-timesiftssd300
Resources
Readme
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
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README.md
Repository files navigation
DATAML300 - Computer Vision course
EX1 - Homogeneous coordinates, Image denoising, Hybrid images
EX2 - Neural Networks and backpropagation, matching images based on similarity
EX3 - HOG descriptors for people detection, Basics of SSD object detector, SSD300 for real-time object detection
EX4 - Hough transform and parameter spaces, Robust line fitting using RANSAC, Matching Harris corner points, Matching SURF regions
EX5 - Similarity transformation from two point correspondences, Homography using SIFT, Real-time face point tracking
EX6 - Fundamental Matrix and Essential Matrix, Camera calibration, Triangulation
About
My DATAML300 - Computer vision solutions.
Topics
backpropagationharris-corner-detectorhoghomogeneous-coordinateshomographyhough-transformhybrid-imagesimage-denoisingline-fittingneural-networksparameter-spacepoint-trackingransacreal-timesiftssd300
Resources
Readme
Activity
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1 watching
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, 'i');
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// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
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} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
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var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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README.md
Repository files navigation
DATAML300 - Computer Vision course
EX1 - Homogeneous coordinates, Image denoising, Hybrid images
EX2 - Neural Networks and backpropagation, matching images based on similarity
EX3 - HOG descriptors for people detection, Basics of SSD object detector, SSD300 for real-time object detection
EX4 - Hough transform and parameter spaces, Robust line fitting using RANSAC, Matching Harris corner points, Matching SURF regions
EX5 - Similarity transformation from two point correspondences, Homography using SIFT, Real-time face point tracking
EX6 - Fundamental Matrix and Essential Matrix, Camera calibration, Triangulation
About
My DATAML300 - Computer vision solutions.
Topics
backpropagationharris-corner-detectorhoghomogeneous-coordinateshomographyhough-transformhybrid-imagesimage-denoisingline-fittingneural-networksparameter-spacepoint-trackingransacreal-timesiftssd300
Resources
Readme
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
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})();
(function(){
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var __m = "*";
var __re = new RegExp('^' + ".*" + '

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README.md
Repository files navigation
DATAML300 - Computer Vision course
EX1 - Homogeneous coordinates, Image denoising, Hybrid images
EX2 - Neural Networks and backpropagation, matching images based on similarity
EX3 - HOG descriptors for people detection, Basics of SSD object detector, SSD300 for real-time object detection
EX4 - Hough transform and parameter spaces, Robust line fitting using RANSAC, Matching Harris corner points, Matching SURF regions
EX5 - Similarity transformation from two point correspondences, Homography using SIFT, Real-time face point tracking
EX6 - Fundamental Matrix and Essential Matrix, Camera calibration, Triangulation
About
My DATAML300 - Computer vision solutions.
Topics
backpropagationharris-corner-detectorhoghomogeneous-coordinateshomographyhough-transformhybrid-imagesimage-denoisingline-fittingneural-networksparameter-spacepoint-trackingransacreal-timesiftssd300
Resources
Readme
Activity
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1 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
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unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
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Repository files navigation
DATAML300 - Computer Vision course
EX1 - Homogeneous coordinates, Image denoising, Hybrid images
EX2 - Neural Networks and backpropagation, matching images based on similarity
EX3 - HOG descriptors for people detection, Basics of SSD object detector, SSD300 for real-time object detection
EX4 - Hough transform and parameter spaces, Robust line fitting using RANSAC, Matching Harris corner points, Matching SURF regions
EX5 - Similarity transformation from two point correspondences, Homography using SIFT, Real-time face point tracking
EX6 - Fundamental Matrix and Essential Matrix, Camera calibration, Triangulation
About
My DATAML300 - Computer vision solutions.
Topics
backpropagationharris-corner-detectorhoghomogeneous-coordinateshomographyhough-transformhybrid-imagesimage-denoisingline-fittingneural-networksparameter-spacepoint-trackingransacreal-timesiftssd300
Resources
Readme
Activity
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1 watching
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0 forks
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
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// Re-apply on dynamic content
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if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
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DATAML300 - Computer Vision course
EX1 - Homogeneous coordinates, Image denoising, Hybrid images
EX2 - Neural Networks and backpropagation, matching images based on similarity
EX3 - HOG descriptors for people detection, Basics of SSD object detector, SSD300 for real-time object detection
EX4 - Hough transform and parameter spaces, Robust line fitting using RANSAC, Matching Harris corner points, Matching SURF regions
EX5 - Similarity transformation from two point correspondences, Homography using SIFT, Real-time face point tracking
EX6 - Fundamental Matrix and Essential Matrix, Camera calibration, Triangulation
About
My DATAML300 - Computer vision solutions.
Topics
backpropagationharris-corner-detectorhoghomogeneous-coordinateshomographyhough-transformhybrid-imagesimage-denoisingline-fittingneural-networksparameter-spacepoint-trackingransacreal-timesiftssd300
Resources
Readme
Activity
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