Skip to content
BranchesTags

Repository files navigation

FramesComparer-lambda

A Lambda function that compares video frames between monitored and watched videos, using frame similarity analysis to detect potential content matches.

Overview

This Lambda function processes video frames stored in S3, comparing frames from a monitored video against frames from watched videos. It uses a similarity algorithm based on SHA-256 hash differences to determine frame similarity and stores the results in Supabase.

Features

  • Frame comparison using hash-based similarity analysis
  • Support for multiple video platforms (default: Instagram)
  • Integration with AWS S3 for frame storage
  • Results storage in Supabase
  • Job tracking and deduplication
  • Configurable debug logging

Prerequisites

  • AWS Lambda environment
  • S3 bucket for frame storage
  • Supabase instance
  • Python 3.x

Environment Variables

The following environment variables need to be configured:

  • SUPABASE_URL: Your Supabase project URL
  • SUPABASE_KEY: Your Supabase API key
  • S3_BUCKET: S3 bucket name for frame storage (default: "oriane-contents")
  • DEBUG: Enable debug logging (optional, default: "False")

Input Format

The function accepts input in the following format:

{
"job_id": "optional-uuid",
"monitored_shortcode": "required-video-code",
"watched_shortcodes": ["video-code-1", "video-code-2"],
"platform": "instagram",
"extension": "jpg"
}

Output Format

The function returns results in the following format:

{
"statusCode": 200,
"body": {
"message": "Processing completed",
"results": [
{
"job_id": "uuid",
"model": "FCM",
"monitored_video": "video-code",
"watched_video": "video-code",
"avg_similarity": 0.95,
"processed_in_secs": 1.23,
"frame_results": [...],
"max_similarity": 0.98
}
],
"total_time": 2.45
}
}

S3 Structure

Frames should be stored in S3 with the following structure:

<platform>/<shortcode>/frames/0.<extension>
<platform>/<shortcode>/frames/1.<extension>
...

Database Schema

ai_jobs

  • job_id: UUID (primary key)

ai_results

  • id: Auto-incrementing primary key
  • job_id: UUID (foreign key to ai_jobs)
  • model: String (e.g., "FCM")
  • monitored_video: String
  • watched_video: String
  • avg_similarity: Float
  • processed_in_secs: Float
  • frame_results: JSON array
  • max_similarity: Float

insta_content

  • code: String
  • is_monitored: Boolean

Error Handling

The function includes comprehensive error handling and logging:

  • Invalid input validation
  • S3 access errors
  • Supabase connection issues
  • Frame processing errors

Dependencies

  • boto3
  • supabase
  • hashlib (built-in)
  • uuid (built-in)
  • logging (built-in)

Development

To enable debug logging, set the DEBUG environment variable to "true", "1", or "yes".

About

No description, website, or topics provided.

Resources

Readme
Activity
Custom properties

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
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;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - orianexxx/FramesComparer-lambda · GitHub
Skip to content
BranchesTags
Repository files navigation
FramesComparer-lambda
A Lambda function that compares video frames between monitored and watched videos, using frame similarity analysis to detect potential content matches.
Overview
This Lambda function processes video frames stored in S3, comparing frames from a monitored video against frames from watched videos. It uses a similarity algorithm based on SHA-256 hash differences to determine frame similarity and stores the results in Supabase.
Features
  • Frame comparison using hash-based similarity analysis
  • Support for multiple video platforms (default: Instagram)
  • Integration with AWS S3 for frame storage
  • Results storage in Supabase
  • Job tracking and deduplication
  • Configurable debug logging
Prerequisites
  • AWS Lambda environment
  • S3 bucket for frame storage
  • Supabase instance
  • Python 3.x
Environment Variables
The following environment variables need to be configured:
  • SUPABASE_URL: Your Supabase project URL
  • SUPABASE_KEY: Your Supabase API key
  • S3_BUCKET: S3 bucket name for frame storage (default: "oriane-contents")
  • DEBUG: Enable debug logging (optional, default: "False")
Input Format
The function accepts input in the following format:
{
"job_id": "optional-uuid",
"monitored_shortcode": "required-video-code",
"watched_shortcodes": ["video-code-1", "video-code-2"],
"platform": "instagram",
"extension": "jpg"
}
Output Format
The function returns results in the following format:
{
"statusCode": 200,
"body": {
"message": "Processing completed",
"results": [
{
"job_id": "uuid",
"model": "FCM",
"monitored_video": "video-code",
"watched_video": "video-code",
"avg_similarity": 0.95,
"processed_in_secs": 1.23,
"frame_results": [...],
"max_similarity": 0.98
}
],
"total_time": 2.45
}
}
S3 Structure
Frames should be stored in S3 with the following structure:
<platform>/<shortcode>/frames/0.<extension>
<platform>/<shortcode>/frames/1.<extension>
...

Database Schema
ai_jobs
  • job_id: UUID (primary key)
ai_results
  • id: Auto-incrementing primary key
  • job_id: UUID (foreign key to ai_jobs)
  • model: String (e.g., "FCM")
  • monitored_video: String
  • watched_video: String
  • avg_similarity: Float
  • processed_in_secs: Float
  • frame_results: JSON array
  • max_similarity: Float
insta_content
  • code: String
  • is_monitored: Boolean
Error Handling
The function includes comprehensive error handling and logging:
  • Invalid input validation
  • S3 access errors
  • Supabase connection issues
  • Frame processing errors
Dependencies
  • boto3
  • supabase
  • hashlib (built-in)
  • uuid (built-in)
  • logging (built-in)
Development
To enable debug logging, set the DEBUG environment variable to "true", "1", or "yes".
About
No description, website, or topics provided.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - orianexxx/FramesComparer-lambda · GitHub
Skip to content
BranchesTags
Repository files navigation
FramesComparer-lambda
A Lambda function that compares video frames between monitored and watched videos, using frame similarity analysis to detect potential content matches.
Overview
This Lambda function processes video frames stored in S3, comparing frames from a monitored video against frames from watched videos. It uses a similarity algorithm based on SHA-256 hash differences to determine frame similarity and stores the results in Supabase.
Features
  • Frame comparison using hash-based similarity analysis
  • Support for multiple video platforms (default: Instagram)
  • Integration with AWS S3 for frame storage
  • Results storage in Supabase
  • Job tracking and deduplication
  • Configurable debug logging
Prerequisites
  • AWS Lambda environment
  • S3 bucket for frame storage
  • Supabase instance
  • Python 3.x
Environment Variables
The following environment variables need to be configured:
  • SUPABASE_URL: Your Supabase project URL
  • SUPABASE_KEY: Your Supabase API key
  • S3_BUCKET: S3 bucket name for frame storage (default: "oriane-contents")
  • DEBUG: Enable debug logging (optional, default: "False")
Input Format
The function accepts input in the following format:
{
"job_id": "optional-uuid",
"monitored_shortcode": "required-video-code",
"watched_shortcodes": ["video-code-1", "video-code-2"],
"platform": "instagram",
"extension": "jpg"
}
Output Format
The function returns results in the following format:
{
"statusCode": 200,
"body": {
"message": "Processing completed",
"results": [
{
"job_id": "uuid",
"model": "FCM",
"monitored_video": "video-code",
"watched_video": "video-code",
"avg_similarity": 0.95,
"processed_in_secs": 1.23,
"frame_results": [...],
"max_similarity": 0.98
}
],
"total_time": 2.45
}
}
S3 Structure
Frames should be stored in S3 with the following structure:
<platform>/<shortcode>/frames/0.<extension>
<platform>/<shortcode>/frames/1.<extension>
...

Database Schema
ai_jobs
  • job_id: UUID (primary key)
ai_results
  • id: Auto-incrementing primary key
  • job_id: UUID (foreign key to ai_jobs)
  • model: String (e.g., "FCM")
  • monitored_video: String
  • watched_video: String
  • avg_similarity: Float
  • processed_in_secs: Float
  • frame_results: JSON array
  • max_similarity: Float
insta_content
  • code: String
  • is_monitored: Boolean
Error Handling
The function includes comprehensive error handling and logging:
  • Invalid input validation
  • S3 access errors
  • Supabase connection issues
  • Frame processing errors
Dependencies
  • boto3
  • supabase
  • hashlib (built-in)
  • uuid (built-in)
  • logging (built-in)
Development
To enable debug logging, set the DEBUG environment variable to "true", "1", or "yes".
About
No description, website, or topics provided.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - orianexxx/FramesComparer-lambda · GitHub
Skip to content
BranchesTags
Repository files navigation
FramesComparer-lambda
A Lambda function that compares video frames between monitored and watched videos, using frame similarity analysis to detect potential content matches.
Overview
This Lambda function processes video frames stored in S3, comparing frames from a monitored video against frames from watched videos. It uses a similarity algorithm based on SHA-256 hash differences to determine frame similarity and stores the results in Supabase.
Features
  • Frame comparison using hash-based similarity analysis
  • Support for multiple video platforms (default: Instagram)
  • Integration with AWS S3 for frame storage
  • Results storage in Supabase
  • Job tracking and deduplication
  • Configurable debug logging
Prerequisites
  • AWS Lambda environment
  • S3 bucket for frame storage
  • Supabase instance
  • Python 3.x
Environment Variables
The following environment variables need to be configured:
  • SUPABASE_URL: Your Supabase project URL
  • SUPABASE_KEY: Your Supabase API key
  • S3_BUCKET: S3 bucket name for frame storage (default: "oriane-contents")
  • DEBUG: Enable debug logging (optional, default: "False")
Input Format
The function accepts input in the following format:
{
"job_id": "optional-uuid",
"monitored_shortcode": "required-video-code",
"watched_shortcodes": ["video-code-1", "video-code-2"],
"platform": "instagram",
"extension": "jpg"
}
Output Format
The function returns results in the following format:
{
"statusCode": 200,
"body": {
"message": "Processing completed",
"results": [
{
"job_id": "uuid",
"model": "FCM",
"monitored_video": "video-code",
"watched_video": "video-code",
"avg_similarity": 0.95,
"processed_in_secs": 1.23,
"frame_results": [...],
"max_similarity": 0.98
}
],
"total_time": 2.45
}
}
S3 Structure
Frames should be stored in S3 with the following structure:
<platform>/<shortcode>/frames/0.<extension>
<platform>/<shortcode>/frames/1.<extension>
...

Database Schema
ai_jobs
  • job_id: UUID (primary key)
ai_results
  • id: Auto-incrementing primary key
  • job_id: UUID (foreign key to ai_jobs)
  • model: String (e.g., "FCM")
  • monitored_video: String
  • watched_video: String
  • avg_similarity: Float
  • processed_in_secs: Float
  • frame_results: JSON array
  • max_similarity: Float
insta_content
  • code: String
  • is_monitored: Boolean
Error Handling
The function includes comprehensive error handling and logging:
  • Invalid input validation
  • S3 access errors
  • Supabase connection issues
  • Frame processing errors
Dependencies
  • boto3
  • supabase
  • hashlib (built-in)
  • uuid (built-in)
  • logging (built-in)
Development
To enable debug logging, set the DEBUG environment variable to "true", "1", or "yes".
About
No description, website, or topics provided.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// 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'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - orianexxx/FramesComparer-lambda · GitHub
Skip to content
BranchesTags
Repository files navigation
FramesComparer-lambda
A Lambda function that compares video frames between monitored and watched videos, using frame similarity analysis to detect potential content matches.
Overview
This Lambda function processes video frames stored in S3, comparing frames from a monitored video against frames from watched videos. It uses a similarity algorithm based on SHA-256 hash differences to determine frame similarity and stores the results in Supabase.
Features
  • Frame comparison using hash-based similarity analysis
  • Support for multiple video platforms (default: Instagram)
  • Integration with AWS S3 for frame storage
  • Results storage in Supabase
  • Job tracking and deduplication
  • Configurable debug logging
Prerequisites
  • AWS Lambda environment
  • S3 bucket for frame storage
  • Supabase instance
  • Python 3.x
Environment Variables
The following environment variables need to be configured:
  • SUPABASE_URL: Your Supabase project URL
  • SUPABASE_KEY: Your Supabase API key
  • S3_BUCKET: S3 bucket name for frame storage (default: "oriane-contents")
  • DEBUG: Enable debug logging (optional, default: "False")
Input Format
The function accepts input in the following format:
{
"job_id": "optional-uuid",
"monitored_shortcode": "required-video-code",
"watched_shortcodes": ["video-code-1", "video-code-2"],
"platform": "instagram",
"extension": "jpg"
}
Output Format
The function returns results in the following format:
{
"statusCode": 200,
"body": {
"message": "Processing completed",
"results": [
{
"job_id": "uuid",
"model": "FCM",
"monitored_video": "video-code",
"watched_video": "video-code",
"avg_similarity": 0.95,
"processed_in_secs": 1.23,
"frame_results": [...],
"max_similarity": 0.98
}
],
"total_time": 2.45
}
}
S3 Structure
Frames should be stored in S3 with the following structure:
<platform>/<shortcode>/frames/0.<extension>
<platform>/<shortcode>/frames/1.<extension>
...

Database Schema
ai_jobs
  • job_id: UUID (primary key)
ai_results
  • id: Auto-incrementing primary key
  • job_id: UUID (foreign key to ai_jobs)
  • model: String (e.g., "FCM")
  • monitored_video: String
  • watched_video: String
  • avg_similarity: Float
  • processed_in_secs: Float
  • frame_results: JSON array
  • max_similarity: Float
insta_content
  • code: String
  • is_monitored: Boolean
Error Handling
The function includes comprehensive error handling and logging:
  • Invalid input validation
  • S3 access errors
  • Supabase connection issues
  • Frame processing errors
Dependencies
  • boto3
  • supabase
  • hashlib (built-in)
  • uuid (built-in)
  • logging (built-in)
Development
To enable debug logging, set the DEBUG environment variable to "true", "1", or "yes".
About
No description, website, or topics provided.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - orianexxx/FramesComparer-lambda · GitHub
Skip to content
BranchesTags
Repository files navigation
FramesComparer-lambda
A Lambda function that compares video frames between monitored and watched videos, using frame similarity analysis to detect potential content matches.
Overview
This Lambda function processes video frames stored in S3, comparing frames from a monitored video against frames from watched videos. It uses a similarity algorithm based on SHA-256 hash differences to determine frame similarity and stores the results in Supabase.
Features
  • Frame comparison using hash-based similarity analysis
  • Support for multiple video platforms (default: Instagram)
  • Integration with AWS S3 for frame storage
  • Results storage in Supabase
  • Job tracking and deduplication
  • Configurable debug logging
Prerequisites
  • AWS Lambda environment
  • S3 bucket for frame storage
  • Supabase instance
  • Python 3.x
Environment Variables
The following environment variables need to be configured:
  • SUPABASE_URL: Your Supabase project URL
  • SUPABASE_KEY: Your Supabase API key
  • S3_BUCKET: S3 bucket name for frame storage (default: "oriane-contents")
  • DEBUG: Enable debug logging (optional, default: "False")
Input Format
The function accepts input in the following format:
{
"job_id": "optional-uuid",
"monitored_shortcode": "required-video-code",
"watched_shortcodes": ["video-code-1", "video-code-2"],
"platform": "instagram",
"extension": "jpg"
}
Output Format
The function returns results in the following format:
{
"statusCode": 200,
"body": {
"message": "Processing completed",
"results": [
{
"job_id": "uuid",
"model": "FCM",
"monitored_video": "video-code",
"watched_video": "video-code",
"avg_similarity": 0.95,
"processed_in_secs": 1.23,
"frame_results": [...],
"max_similarity": 0.98
}
],
"total_time": 2.45
}
}
S3 Structure
Frames should be stored in S3 with the following structure:
<platform>/<shortcode>/frames/0.<extension>
<platform>/<shortcode>/frames/1.<extension>
...

Database Schema
ai_jobs
  • job_id: UUID (primary key)
ai_results
  • id: Auto-incrementing primary key
  • job_id: UUID (foreign key to ai_jobs)
  • model: String (e.g., "FCM")
  • monitored_video: String
  • watched_video: String
  • avg_similarity: Float
  • processed_in_secs: Float
  • frame_results: JSON array
  • max_similarity: Float
insta_content
  • code: String
  • is_monitored: Boolean
Error Handling
The function includes comprehensive error handling and logging:
  • Invalid input validation
  • S3 access errors
  • Supabase connection issues
  • Frame processing errors
Dependencies
  • boto3
  • supabase
  • hashlib (built-in)
  • uuid (built-in)
  • logging (built-in)
Development
To enable debug logging, set the DEBUG environment variable to "true", "1", or "yes".
About
No description, website, or topics provided.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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';
el.style.zIndex = 'auto';
}
});
}
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); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - orianexxx/FramesComparer-lambda · GitHub
Skip to content
BranchesTags
Repository files navigation
FramesComparer-lambda
A Lambda function that compares video frames between monitored and watched videos, using frame similarity analysis to detect potential content matches.
Overview
This Lambda function processes video frames stored in S3, comparing frames from a monitored video against frames from watched videos. It uses a similarity algorithm based on SHA-256 hash differences to determine frame similarity and stores the results in Supabase.
Features
  • Frame comparison using hash-based similarity analysis
  • Support for multiple video platforms (default: Instagram)
  • Integration with AWS S3 for frame storage
  • Results storage in Supabase
  • Job tracking and deduplication
  • Configurable debug logging
Prerequisites
  • AWS Lambda environment
  • S3 bucket for frame storage
  • Supabase instance
  • Python 3.x
Environment Variables
The following environment variables need to be configured:
  • SUPABASE_URL: Your Supabase project URL
  • SUPABASE_KEY: Your Supabase API key
  • S3_BUCKET: S3 bucket name for frame storage (default: "oriane-contents")
  • DEBUG: Enable debug logging (optional, default: "False")
Input Format
The function accepts input in the following format:
{
"job_id": "optional-uuid",
"monitored_shortcode": "required-video-code",
"watched_shortcodes": ["video-code-1", "video-code-2"],
"platform": "instagram",
"extension": "jpg"
}
Output Format
The function returns results in the following format:
{
"statusCode": 200,
"body": {
"message": "Processing completed",
"results": [
{
"job_id": "uuid",
"model": "FCM",
"monitored_video": "video-code",
"watched_video": "video-code",
"avg_similarity": 0.95,
"processed_in_secs": 1.23,
"frame_results": [...],
"max_similarity": 0.98
}
],
"total_time": 2.45
}
}
S3 Structure
Frames should be stored in S3 with the following structure:
<platform>/<shortcode>/frames/0.<extension>
<platform>/<shortcode>/frames/1.<extension>
...

Database Schema
ai_jobs
  • job_id: UUID (primary key)
ai_results
  • id: Auto-incrementing primary key
  • job_id: UUID (foreign key to ai_jobs)
  • model: String (e.g., "FCM")
  • monitored_video: String
  • watched_video: String
  • avg_similarity: Float
  • processed_in_secs: Float
  • frame_results: JSON array
  • max_similarity: Float
insta_content
  • code: String
  • is_monitored: Boolean
Error Handling
The function includes comprehensive error handling and logging:
  • Invalid input validation
  • S3 access errors
  • Supabase connection issues
  • Frame processing errors
Dependencies
  • boto3
  • supabase
  • hashlib (built-in)
  • uuid (built-in)
  • logging (built-in)
Development
To enable debug logging, set the DEBUG environment variable to "true", "1", or "yes".
About
No description, website, or topics provided.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
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); }
})();
})();
GitHub - orianexxx/FramesComparer-lambda · GitHub
Skip to content
BranchesTags
Repository files navigation
FramesComparer-lambda
A Lambda function that compares video frames between monitored and watched videos, using frame similarity analysis to detect potential content matches.
Overview
This Lambda function processes video frames stored in S3, comparing frames from a monitored video against frames from watched videos. It uses a similarity algorithm based on SHA-256 hash differences to determine frame similarity and stores the results in Supabase.
Features
  • Frame comparison using hash-based similarity analysis
  • Support for multiple video platforms (default: Instagram)
  • Integration with AWS S3 for frame storage
  • Results storage in Supabase
  • Job tracking and deduplication
  • Configurable debug logging
Prerequisites
  • AWS Lambda environment
  • S3 bucket for frame storage
  • Supabase instance
  • Python 3.x
Environment Variables
The following environment variables need to be configured:
  • SUPABASE_URL: Your Supabase project URL
  • SUPABASE_KEY: Your Supabase API key
  • S3_BUCKET: S3 bucket name for frame storage (default: "oriane-contents")
  • DEBUG: Enable debug logging (optional, default: "False")
Input Format
The function accepts input in the following format:
{
"job_id": "optional-uuid",
"monitored_shortcode": "required-video-code",
"watched_shortcodes": ["video-code-1", "video-code-2"],
"platform": "instagram",
"extension": "jpg"
}
Output Format
The function returns results in the following format:
{
"statusCode": 200,
"body": {
"message": "Processing completed",
"results": [
{
"job_id": "uuid",
"model": "FCM",
"monitored_video": "video-code",
"watched_video": "video-code",
"avg_similarity": 0.95,
"processed_in_secs": 1.23,
"frame_results": [...],
"max_similarity": 0.98
}
],
"total_time": 2.45
}
}
S3 Structure
Frames should be stored in S3 with the following structure:
<platform>/<shortcode>/frames/0.<extension>
<platform>/<shortcode>/frames/1.<extension>
...

Database Schema
ai_jobs
  • job_id: UUID (primary key)
ai_results
  • id: Auto-incrementing primary key
  • job_id: UUID (foreign key to ai_jobs)
  • model: String (e.g., "FCM")
  • monitored_video: String
  • watched_video: String
  • avg_similarity: Float
  • processed_in_secs: Float
  • frame_results: JSON array
  • max_similarity: Float
insta_content
  • code: String
  • is_monitored: Boolean
Error Handling
The function includes comprehensive error handling and logging:
  • Invalid input validation
  • S3 access errors
  • Supabase connection issues
  • Frame processing errors
Dependencies
  • boto3
  • supabase
  • hashlib (built-in)
  • uuid (built-in)
  • logging (built-in)
Development
To enable debug logging, set the DEBUG environment variable to "true", "1", or "yes".
About
No description, website, or topics provided.
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages