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Pacefors ForsenHoppedin

Pacefors is a web app that tracks Forsens Minecraft Speedruns with split/death data using text recognition (OCR) from his streams.
Data is automatically collected and pushed using GitHub Actions, and the app is hosted on GitHub Pages.

Website

The frontend small vanilla JS web app that parses the stripped_runs.json data created by the scripts below and visualizes it.
It also has a calculator tool that statistically estimates the chance of hitting certain splits under a target time by a chosen date.

Data Collection

Data is collected using a python script (run.py) that either runs on a VOD or on the live stream, and writes the raw data to JSON files.
GitHub Actions is used to manually (and automatically, though this is not implemented yet) run the script and push the output JSON files to the repository.

Scripts (/python)

run.py

Main data collection script that uses streamlink to get the HLS stream, streams it through ffmpeg at 1 fps and uses EasyOCR to extract the relevant information (Timer, Advancements, Death Msg and Ninjabrain status).
The script has two modes, it can either be run with a VOD and starting timestamp and write to outout_mmmdd.json, or directly on the live stream to live_yyyymmdd-hhmmss.json.

merge_outputs.py

Processes all the output JSON files through 3 stages and writes the final output to stripped_runs.json, which is used by the website.

  1. raw_data -> filtered_data - Removes all entries with invalidly formatted timers and tries its best to remove timers that are a valid format but has the wrong time.
  2. filtered_data -> runs - Turns the stream of data into individual runs whenever the timer resets, containing every data point for that run.
  3. runs -> stripped_runs - Removes tha data points and replaces them with the time of each split, and death reason, plus a list to VOD timestamps every 5 seconds IGT for seeking.

check_if_forsen_is_live.py

Self-explanatory, checks if Forsen is live and if hes in the Minecraft category
Returns exit code 0 if he's offline, 1 if hes NOT playing Minecraft, and 2 if he's live and playing Minecraft.
Also has a --wait option that hangs the script if he's live not in the Minecraft category, and waits until he starts playing Minecraft, used by the GitHub Workflow.

About

Website that tracks/visualizes Forsens Minecraft Speedruns

pacefors.bleach.dev/

Topics

forsenforseninsanemcsrmcsrrankedminecraftspeedrunning

Resources

Readme
Activity

Stars

19 stars

Watchers

0 watching

Forks

4 forks
Report repository

Releases

Packages

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" + '

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BranchesTags
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Pacefors ForsenHoppedin
Pacefors is a web app that tracks Forsens Minecraft Speedruns with split/death data using text recognition (OCR) from his streams.

Data is automatically collected and pushed using GitHub Actions, and the app is hosted on GitHub Pages.
Website
The frontend small vanilla JS web app that parses the stripped_runs.json data created by the scripts below and visualizes it.

It also has a calculator tool that statistically estimates the chance of hitting certain splits under a target time by a chosen date.
Data Collection
Data is collected using a python script (run.py) that either runs on a VOD or on the live stream, and writes the raw data to JSON files.

GitHub Actions is used to manually (and automatically, though this is not implemented yet) run the script and push the output JSON files to the repository.
Scripts (/python)
run.py
Main data collection script that uses streamlink to get the HLS stream,
streams it through ffmpeg at 1 fps and uses EasyOCR to extract the relevant information
(Timer, Advancements, Death Msg and Ninjabrain status).

The script has two modes, it can either be run with a VOD and starting timestamp and write to outout_mmmdd.json,
or directly on the live stream to live_yyyymmdd-hhmmss.json.
merge_outputs.py
Processes all the output JSON files through 3 stages and writes the final output to stripped_runs.json, which is used by the website.
  1. raw_data -> filtered_data - Removes all entries with invalidly formatted timers and tries its best to remove timers that are a valid format but has the wrong time.
  2. filtered_data -> runs - Turns the stream of data into individual runs whenever the timer resets, containing every data point for that run.
  3. runs -> stripped_runs - Removes tha data points and replaces them with the time of each split, and death reason, plus a list to VOD timestamps every 5 seconds IGT for seeking.
check_if_forsen_is_live.py
Self-explanatory, checks if Forsen is live and if hes in the Minecraft category

Returns exit code 0 if he's offline, 1 if hes NOT playing Minecraft, and 2 if he's live and playing Minecraft.

Also has a --wait option that hangs the script if he's live not in the Minecraft category, and waits until he starts playing Minecraft, used by the GitHub Workflow.
About
Website that tracks/visualizes Forsens Minecraft Speedruns
pacefors.bleach.dev/
Topics
forsenforseninsanemcsrmcsrrankedminecraftspeedrunning
Resources
Readme
Activity
Stars
19 stars
Watchers
0 watching
Forks
4 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");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Pacefors ForsenHoppedin
Pacefors is a web app that tracks Forsens Minecraft Speedruns with split/death data using text recognition (OCR) from his streams.

Data is automatically collected and pushed using GitHub Actions, and the app is hosted on GitHub Pages.
Website
The frontend small vanilla JS web app that parses the stripped_runs.json data created by the scripts below and visualizes it.

It also has a calculator tool that statistically estimates the chance of hitting certain splits under a target time by a chosen date.
Data Collection
Data is collected using a python script (run.py) that either runs on a VOD or on the live stream, and writes the raw data to JSON files.

GitHub Actions is used to manually (and automatically, though this is not implemented yet) run the script and push the output JSON files to the repository.
Scripts (/python)
run.py
Main data collection script that uses streamlink to get the HLS stream,
streams it through ffmpeg at 1 fps and uses EasyOCR to extract the relevant information
(Timer, Advancements, Death Msg and Ninjabrain status).

The script has two modes, it can either be run with a VOD and starting timestamp and write to outout_mmmdd.json,
or directly on the live stream to live_yyyymmdd-hhmmss.json.
merge_outputs.py
Processes all the output JSON files through 3 stages and writes the final output to stripped_runs.json, which is used by the website.
  1. raw_data -> filtered_data - Removes all entries with invalidly formatted timers and tries its best to remove timers that are a valid format but has the wrong time.
  2. filtered_data -> runs - Turns the stream of data into individual runs whenever the timer resets, containing every data point for that run.
  3. runs -> stripped_runs - Removes tha data points and replaces them with the time of each split, and death reason, plus a list to VOD timestamps every 5 seconds IGT for seeking.
check_if_forsen_is_live.py
Self-explanatory, checks if Forsen is live and if hes in the Minecraft category

Returns exit code 0 if he's offline, 1 if hes NOT playing Minecraft, and 2 if he's live and playing Minecraft.

Also has a --wait option that hangs the script if he's live not in the Minecraft category, and waits until he starts playing Minecraft, used by the GitHub Workflow.
About
Website that tracks/visualizes Forsens Minecraft Speedruns
pacefors.bleach.dev/
Topics
forsenforseninsanemcsrmcsrrankedminecraftspeedrunning
Resources
Readme
Activity
Stars
19 stars
Watchers
0 watching
Forks
4 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('^' + ".*" + '

Skip to content
BranchesTags
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Pacefors ForsenHoppedin
Pacefors is a web app that tracks Forsens Minecraft Speedruns with split/death data using text recognition (OCR) from his streams.

Data is automatically collected and pushed using GitHub Actions, and the app is hosted on GitHub Pages.
Website
The frontend small vanilla JS web app that parses the stripped_runs.json data created by the scripts below and visualizes it.

It also has a calculator tool that statistically estimates the chance of hitting certain splits under a target time by a chosen date.
Data Collection
Data is collected using a python script (run.py) that either runs on a VOD or on the live stream, and writes the raw data to JSON files.

GitHub Actions is used to manually (and automatically, though this is not implemented yet) run the script and push the output JSON files to the repository.
Scripts (/python)
run.py
Main data collection script that uses streamlink to get the HLS stream,
streams it through ffmpeg at 1 fps and uses EasyOCR to extract the relevant information
(Timer, Advancements, Death Msg and Ninjabrain status).

The script has two modes, it can either be run with a VOD and starting timestamp and write to outout_mmmdd.json,
or directly on the live stream to live_yyyymmdd-hhmmss.json.
merge_outputs.py
Processes all the output JSON files through 3 stages and writes the final output to stripped_runs.json, which is used by the website.
  1. raw_data -> filtered_data - Removes all entries with invalidly formatted timers and tries its best to remove timers that are a valid format but has the wrong time.
  2. filtered_data -> runs - Turns the stream of data into individual runs whenever the timer resets, containing every data point for that run.
  3. runs -> stripped_runs - Removes tha data points and replaces them with the time of each split, and death reason, plus a list to VOD timestamps every 5 seconds IGT for seeking.
check_if_forsen_is_live.py
Self-explanatory, checks if Forsen is live and if hes in the Minecraft category

Returns exit code 0 if he's offline, 1 if hes NOT playing Minecraft, and 2 if he's live and playing Minecraft.

Also has a --wait option that hangs the script if he's live not in the Minecraft category, and waits until he starts playing Minecraft, used by the GitHub Workflow.
About
Website that tracks/visualizes Forsens Minecraft Speedruns
pacefors.bleach.dev/
Topics
forsenforseninsanemcsrmcsrrankedminecraftspeedrunning
Resources
Readme
Activity
Stars
19 stars
Watchers
0 watching
Forks
4 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" + '

Skip to content
BranchesTags
Repository files navigation
Pacefors ForsenHoppedin
Pacefors is a web app that tracks Forsens Minecraft Speedruns with split/death data using text recognition (OCR) from his streams.

Data is automatically collected and pushed using GitHub Actions, and the app is hosted on GitHub Pages.
Website
The frontend small vanilla JS web app that parses the stripped_runs.json data created by the scripts below and visualizes it.

It also has a calculator tool that statistically estimates the chance of hitting certain splits under a target time by a chosen date.
Data Collection
Data is collected using a python script (run.py) that either runs on a VOD or on the live stream, and writes the raw data to JSON files.

GitHub Actions is used to manually (and automatically, though this is not implemented yet) run the script and push the output JSON files to the repository.
Scripts (/python)
run.py
Main data collection script that uses streamlink to get the HLS stream,
streams it through ffmpeg at 1 fps and uses EasyOCR to extract the relevant information
(Timer, Advancements, Death Msg and Ninjabrain status).

The script has two modes, it can either be run with a VOD and starting timestamp and write to outout_mmmdd.json,
or directly on the live stream to live_yyyymmdd-hhmmss.json.
merge_outputs.py
Processes all the output JSON files through 3 stages and writes the final output to stripped_runs.json, which is used by the website.
  1. raw_data -> filtered_data - Removes all entries with invalidly formatted timers and tries its best to remove timers that are a valid format but has the wrong time.
  2. filtered_data -> runs - Turns the stream of data into individual runs whenever the timer resets, containing every data point for that run.
  3. runs -> stripped_runs - Removes tha data points and replaces them with the time of each split, and death reason, plus a list to VOD timestamps every 5 seconds IGT for seeking.
check_if_forsen_is_live.py
Self-explanatory, checks if Forsen is live and if hes in the Minecraft category

Returns exit code 0 if he's offline, 1 if hes NOT playing Minecraft, and 2 if he's live and playing Minecraft.

Also has a --wait option that hangs the script if he's live not in the Minecraft category, and waits until he starts playing Minecraft, used by the GitHub Workflow.
About
Website that tracks/visualizes Forsens Minecraft Speedruns
pacefors.bleach.dev/
Topics
forsenforseninsanemcsrmcsrrankedminecraftspeedrunning
Resources
Readme
Activity
Stars
19 stars
Watchers
0 watching
Forks
4 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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Pacefors ForsenHoppedin
Pacefors is a web app that tracks Forsens Minecraft Speedruns with split/death data using text recognition (OCR) from his streams.

Data is automatically collected and pushed using GitHub Actions, and the app is hosted on GitHub Pages.
Website
The frontend small vanilla JS web app that parses the stripped_runs.json data created by the scripts below and visualizes it.

It also has a calculator tool that statistically estimates the chance of hitting certain splits under a target time by a chosen date.
Data Collection
Data is collected using a python script (run.py) that either runs on a VOD or on the live stream, and writes the raw data to JSON files.

GitHub Actions is used to manually (and automatically, though this is not implemented yet) run the script and push the output JSON files to the repository.
Scripts (/python)
run.py
Main data collection script that uses streamlink to get the HLS stream,
streams it through ffmpeg at 1 fps and uses EasyOCR to extract the relevant information
(Timer, Advancements, Death Msg and Ninjabrain status).

The script has two modes, it can either be run with a VOD and starting timestamp and write to outout_mmmdd.json,
or directly on the live stream to live_yyyymmdd-hhmmss.json.
merge_outputs.py
Processes all the output JSON files through 3 stages and writes the final output to stripped_runs.json, which is used by the website.
  1. raw_data -> filtered_data - Removes all entries with invalidly formatted timers and tries its best to remove timers that are a valid format but has the wrong time.
  2. filtered_data -> runs - Turns the stream of data into individual runs whenever the timer resets, containing every data point for that run.
  3. runs -> stripped_runs - Removes tha data points and replaces them with the time of each split, and death reason, plus a list to VOD timestamps every 5 seconds IGT for seeking.
check_if_forsen_is_live.py
Self-explanatory, checks if Forsen is live and if hes in the Minecraft category

Returns exit code 0 if he's offline, 1 if hes NOT playing Minecraft, and 2 if he's live and playing Minecraft.

Also has a --wait option that hangs the script if he's live not in the Minecraft category, and waits until he starts playing Minecraft, used by the GitHub Workflow.
About
Website that tracks/visualizes Forsens Minecraft Speedruns
pacefors.bleach.dev/
Topics
forsenforseninsanemcsrmcsrrankedminecraftspeedrunning
Resources
Readme
Activity
Stars
19 stars
Watchers
0 watching
Forks
4 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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Pacefors ForsenHoppedin
Pacefors is a web app that tracks Forsens Minecraft Speedruns with split/death data using text recognition (OCR) from his streams.

Data is automatically collected and pushed using GitHub Actions, and the app is hosted on GitHub Pages.
Website
The frontend small vanilla JS web app that parses the stripped_runs.json data created by the scripts below and visualizes it.

It also has a calculator tool that statistically estimates the chance of hitting certain splits under a target time by a chosen date.
Data Collection
Data is collected using a python script (run.py) that either runs on a VOD or on the live stream, and writes the raw data to JSON files.

GitHub Actions is used to manually (and automatically, though this is not implemented yet) run the script and push the output JSON files to the repository.
Scripts (/python)
run.py
Main data collection script that uses streamlink to get the HLS stream,
streams it through ffmpeg at 1 fps and uses EasyOCR to extract the relevant information
(Timer, Advancements, Death Msg and Ninjabrain status).

The script has two modes, it can either be run with a VOD and starting timestamp and write to outout_mmmdd.json,
or directly on the live stream to live_yyyymmdd-hhmmss.json.
merge_outputs.py
Processes all the output JSON files through 3 stages and writes the final output to stripped_runs.json, which is used by the website.
  1. raw_data -> filtered_data - Removes all entries with invalidly formatted timers and tries its best to remove timers that are a valid format but has the wrong time.
  2. filtered_data -> runs - Turns the stream of data into individual runs whenever the timer resets, containing every data point for that run.
  3. runs -> stripped_runs - Removes tha data points and replaces them with the time of each split, and death reason, plus a list to VOD timestamps every 5 seconds IGT for seeking.
check_if_forsen_is_live.py
Self-explanatory, checks if Forsen is live and if hes in the Minecraft category

Returns exit code 0 if he's offline, 1 if hes NOT playing Minecraft, and 2 if he's live and playing Minecraft.

Also has a --wait option that hangs the script if he's live not in the Minecraft category, and waits until he starts playing Minecraft, used by the GitHub Workflow.
About
Website that tracks/visualizes Forsens Minecraft Speedruns
pacefors.bleach.dev/
Topics
forsenforseninsanemcsrmcsrrankedminecraftspeedrunning
Resources
Readme
Activity
Stars
19 stars
Watchers
0 watching
Forks
4 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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Pacefors ForsenHoppedin
Pacefors is a web app that tracks Forsens Minecraft Speedruns with split/death data using text recognition (OCR) from his streams.

Data is automatically collected and pushed using GitHub Actions, and the app is hosted on GitHub Pages.
Website
The frontend small vanilla JS web app that parses the stripped_runs.json data created by the scripts below and visualizes it.

It also has a calculator tool that statistically estimates the chance of hitting certain splits under a target time by a chosen date.
Data Collection
Data is collected using a python script (run.py) that either runs on a VOD or on the live stream, and writes the raw data to JSON files.

GitHub Actions is used to manually (and automatically, though this is not implemented yet) run the script and push the output JSON files to the repository.
Scripts (/python)
run.py
Main data collection script that uses streamlink to get the HLS stream,
streams it through ffmpeg at 1 fps and uses EasyOCR to extract the relevant information
(Timer, Advancements, Death Msg and Ninjabrain status).

The script has two modes, it can either be run with a VOD and starting timestamp and write to outout_mmmdd.json,
or directly on the live stream to live_yyyymmdd-hhmmss.json.
merge_outputs.py
Processes all the output JSON files through 3 stages and writes the final output to stripped_runs.json, which is used by the website.
  1. raw_data -> filtered_data - Removes all entries with invalidly formatted timers and tries its best to remove timers that are a valid format but has the wrong time.
  2. filtered_data -> runs - Turns the stream of data into individual runs whenever the timer resets, containing every data point for that run.
  3. runs -> stripped_runs - Removes tha data points and replaces them with the time of each split, and death reason, plus a list to VOD timestamps every 5 seconds IGT for seeking.
check_if_forsen_is_live.py
Self-explanatory, checks if Forsen is live and if hes in the Minecraft category

Returns exit code 0 if he's offline, 1 if hes NOT playing Minecraft, and 2 if he's live and playing Minecraft.

Also has a --wait option that hangs the script if he's live not in the Minecraft category, and waits until he starts playing Minecraft, used by the GitHub Workflow.
About
Website that tracks/visualizes Forsens Minecraft Speedruns
pacefors.bleach.dev/
Topics
forsenforseninsanemcsrmcsrrankedminecraftspeedrunning
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