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Discoder

Distributed Transcoder Tools

This software was created to enable distribution of video transcoding to multiple computing nodes in a network to scale the processing horizontally. Many approaches are limited to very few processes (normally up to 10 or 16) with far from optimal results.

The reason this code is able to achieve almost linear speedups even with 32 CPUs is because it uses a combination of FFmpeg provided multithread work with a embarrassingly parallel load of processes. Besides, this system applies load balancing techniques to minimize the amount of idle CPU time.

With some tests, we realized that not splitting the video data directly into GOPs result in a much smaller preprocessing overhead, letting each video process do each own segmentation. Empirically we noted that letting each video segment be at least 2 or 3 times the average GOP size will yield much better results.

How To Use

  • Tested on Ubuntu 13.04. Any Linux box should be fine.
  • Currently you need to have FFmpeg 1.0 or later with libx264 installed. Libav is not tested.
  • Python 2.7 or 3.2+
  • NFS for clusters (You can also run the software on a single machine)

All the the machines where there will be video transcoding are called "nodes". The machine spawning the processes is called "master". The "master" may own the NFS (recommended) and may also be a transcoding node (not recommended).

On the nodes you run:

$ python3 /path_to/discoder/start.py node -d

The -d option will start the process as deamon.

On the master you will have to set all your nodes IP addresses on discoder/discoder/nodes.txt file (ne per line). Then you can run one or more transcoding commands. E.g. for 4 node cluster with dual 4-core HT CPUs:

$ python3 /path_to/discoder/start.py cluster -i some_video_file.mkv -n 4 -p 32 \
--threads 8 --fancy-seek --balance --remove -l log.txt
  • -i ... Input file. Must be available for all nodes on NFS!
  • -n 4 Use the first 4 nodes of nodes.txt.
  • -p 32 Total of 32 simultaneous processes (i.e. 8 per node -- should be 1 per real core).
  • --threads 8 Number of threads per process (Should be about 1 per real core).
  • --fancy-seek Accurate seek without decoding (This option will become default). On FFmpeg 2.1+ this is the current behaviour, but this flag is still needed.
  • --balance Enable load balancing (This option will become default).
  • --remove Remove all intermediate files (This option will become default).
  • -l log.txt Log file (optional).

NOTE: Most video transcoding options are still missing and, by default, the system will transcode the video using H.264 with CRF 23, maintaining the audio intact and storing it as a MP4 file. Other transcoding options are to create other video files setting bitrate and resolution (optional) alongside the 1st transcoding (named "original transcoding"). E.g. Three options:

-f 2500K:1280x720 -f 800K:640x360 -f 6000K

About:

This code was part of my undergraduate research to obtain an Electronic Engineering and Computer Science degree at the Federal University of Rio de Janeiro (UFRJ). The monograph with all experiments and results is available (Portuguese only) here. This research also won 1st prize at the WebMedia 2013 Symposium (Workshop on Ongoing Undergraduate Research) under the title "Transcodificação Distribuída de Vídeo com Alto Desempenho".

The software was developed at "Laboratório de Computação Paralela e Sistemas Móveis" (Compasso)

Contact:

About

Distributed Transcoder

Resources

Readme
GPL-3.0 license
Activity

Stars

7 stars

Watchers

3 watching

Forks

0 forks
Report repository

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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" + '

Skip to content
BranchesTags
Repository files navigation
Discoder
Distributed Transcoder Tools
This software was created to enable distribution of video transcoding
to multiple computing nodes in a network to scale the processing horizontally.
Many approaches are limited to very few processes (normally up to 10 or 16) with
far from optimal results.
The reason this code is able to achieve almost linear speedups even with 32 CPUs
is because it uses a combination of FFmpeg provided multithread work with a
embarrassingly parallel load of processes. Besides, this system applies load
balancing techniques to minimize the amount of idle CPU time.
With some tests, we realized that not splitting the video data directly into GOPs result
in a much smaller preprocessing overhead, letting each video process do each own
segmentation. Empirically we noted that letting each video segment be at least 2
or 3 times the average GOP size will yield much better results.
How To Use
  • Tested on Ubuntu 13.04. Any Linux box should be fine.
  • Currently you need to have FFmpeg 1.0 or later with libx264 installed. Libav is not tested.
  • Python 2.7 or 3.2+
  • NFS for clusters (You can also run the software on a single machine)
All the the machines where there will be video transcoding are called "nodes". The machine spawning the
processes is called "master". The "master" may own the NFS (recommended) and may also be a transcoding
node (not recommended).
On the nodes you run:
$ python3 /path_to/discoder/start.py node -d

The -d option will start the process as deamon.
On the master you will have to set all your nodes IP addresses on discoder/discoder/nodes.txt file (ne per line).
Then you can run one or more transcoding commands. E.g. for 4 node cluster with dual 4-core HT CPUs:
$ python3 /path_to/discoder/start.py cluster -i some_video_file.mkv -n 4 -p 32 \
--threads 8 --fancy-seek --balance --remove -l log.txt

  • -i ... Input file. Must be available for all nodes on NFS!
  • -n 4 Use the first 4 nodes of nodes.txt.
  • -p 32 Total of 32 simultaneous processes (i.e. 8 per node -- should be 1 per real core).
  • --threads 8 Number of threads per process (Should be about 1 per real core).
  • --fancy-seek Accurate seek without decoding (This option will become default). On FFmpeg 2.1+
this is the current behaviour, but this flag is still needed.
  • --balance Enable load balancing (This option will become default).
  • --remove Remove all intermediate files (This option will become default).
  • -l log.txt Log file (optional).
NOTE: Most video transcoding options are still missing and, by default, the system will transcode
the video using H.264 with CRF 23, maintaining the audio intact and storing it as a MP4 file.
Other transcoding options are to create other video files setting bitrate and resolution (optional)
alongside the 1st transcoding (named "original transcoding"). E.g. Three options:
-f 2500K:1280x720 -f 800K:640x360 -f 6000K

About:
This code was part of my undergraduate research to obtain an Electronic Engineering
and Computer Science degree at the Federal University of Rio de Janeiro (UFRJ). The
monograph with all experiments and results is available (Portuguese only) here.
This research also won 1st prize at the WebMedia 2013 Symposium
(Workshop on Ongoing Undergraduate Research) under the title
"Transcodificação Distribuída de Vídeo com Alto Desempenho".
The software was developed at "Laboratório de Computação Paralela e Sistemas Móveis" (Compasso)
Contact:
About
Distributed Transcoder
Resources
Readme
GPL-3.0 license
Activity
Stars
7 stars
Watchers
3 watching
Forks
0 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
Discoder
Distributed Transcoder Tools
This software was created to enable distribution of video transcoding
to multiple computing nodes in a network to scale the processing horizontally.
Many approaches are limited to very few processes (normally up to 10 or 16) with
far from optimal results.
The reason this code is able to achieve almost linear speedups even with 32 CPUs
is because it uses a combination of FFmpeg provided multithread work with a
embarrassingly parallel load of processes. Besides, this system applies load
balancing techniques to minimize the amount of idle CPU time.
With some tests, we realized that not splitting the video data directly into GOPs result
in a much smaller preprocessing overhead, letting each video process do each own
segmentation. Empirically we noted that letting each video segment be at least 2
or 3 times the average GOP size will yield much better results.
How To Use
  • Tested on Ubuntu 13.04. Any Linux box should be fine.
  • Currently you need to have FFmpeg 1.0 or later with libx264 installed. Libav is not tested.
  • Python 2.7 or 3.2+
  • NFS for clusters (You can also run the software on a single machine)
All the the machines where there will be video transcoding are called "nodes". The machine spawning the
processes is called "master". The "master" may own the NFS (recommended) and may also be a transcoding
node (not recommended).
On the nodes you run:
$ python3 /path_to/discoder/start.py node -d

The -d option will start the process as deamon.
On the master you will have to set all your nodes IP addresses on discoder/discoder/nodes.txt file (ne per line).
Then you can run one or more transcoding commands. E.g. for 4 node cluster with dual 4-core HT CPUs:
$ python3 /path_to/discoder/start.py cluster -i some_video_file.mkv -n 4 -p 32 \
--threads 8 --fancy-seek --balance --remove -l log.txt

  • -i ... Input file. Must be available for all nodes on NFS!
  • -n 4 Use the first 4 nodes of nodes.txt.
  • -p 32 Total of 32 simultaneous processes (i.e. 8 per node -- should be 1 per real core).
  • --threads 8 Number of threads per process (Should be about 1 per real core).
  • --fancy-seek Accurate seek without decoding (This option will become default). On FFmpeg 2.1+
this is the current behaviour, but this flag is still needed.
  • --balance Enable load balancing (This option will become default).
  • --remove Remove all intermediate files (This option will become default).
  • -l log.txt Log file (optional).
NOTE: Most video transcoding options are still missing and, by default, the system will transcode
the video using H.264 with CRF 23, maintaining the audio intact and storing it as a MP4 file.
Other transcoding options are to create other video files setting bitrate and resolution (optional)
alongside the 1st transcoding (named "original transcoding"). E.g. Three options:
-f 2500K:1280x720 -f 800K:640x360 -f 6000K

About:
This code was part of my undergraduate research to obtain an Electronic Engineering
and Computer Science degree at the Federal University of Rio de Janeiro (UFRJ). The
monograph with all experiments and results is available (Portuguese only) here.
This research also won 1st prize at the WebMedia 2013 Symposium
(Workshop on Ongoing Undergraduate Research) under the title
"Transcodificação Distribuída de Vídeo com Alto Desempenho".
The software was developed at "Laboratório de Computação Paralela e Sistemas Móveis" (Compasso)
Contact:
About
Distributed Transcoder
Resources
Readme
GPL-3.0 license
Activity
Stars
7 stars
Watchers
3 watching
Forks
0 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
Repository files navigation
Discoder
Distributed Transcoder Tools
This software was created to enable distribution of video transcoding
to multiple computing nodes in a network to scale the processing horizontally.
Many approaches are limited to very few processes (normally up to 10 or 16) with
far from optimal results.
The reason this code is able to achieve almost linear speedups even with 32 CPUs
is because it uses a combination of FFmpeg provided multithread work with a
embarrassingly parallel load of processes. Besides, this system applies load
balancing techniques to minimize the amount of idle CPU time.
With some tests, we realized that not splitting the video data directly into GOPs result
in a much smaller preprocessing overhead, letting each video process do each own
segmentation. Empirically we noted that letting each video segment be at least 2
or 3 times the average GOP size will yield much better results.
How To Use
  • Tested on Ubuntu 13.04. Any Linux box should be fine.
  • Currently you need to have FFmpeg 1.0 or later with libx264 installed. Libav is not tested.
  • Python 2.7 or 3.2+
  • NFS for clusters (You can also run the software on a single machine)
All the the machines where there will be video transcoding are called "nodes". The machine spawning the
processes is called "master". The "master" may own the NFS (recommended) and may also be a transcoding
node (not recommended).
On the nodes you run:
$ python3 /path_to/discoder/start.py node -d

The -d option will start the process as deamon.
On the master you will have to set all your nodes IP addresses on discoder/discoder/nodes.txt file (ne per line).
Then you can run one or more transcoding commands. E.g. for 4 node cluster with dual 4-core HT CPUs:
$ python3 /path_to/discoder/start.py cluster -i some_video_file.mkv -n 4 -p 32 \
--threads 8 --fancy-seek --balance --remove -l log.txt

  • -i ... Input file. Must be available for all nodes on NFS!
  • -n 4 Use the first 4 nodes of nodes.txt.
  • -p 32 Total of 32 simultaneous processes (i.e. 8 per node -- should be 1 per real core).
  • --threads 8 Number of threads per process (Should be about 1 per real core).
  • --fancy-seek Accurate seek without decoding (This option will become default). On FFmpeg 2.1+
this is the current behaviour, but this flag is still needed.
  • --balance Enable load balancing (This option will become default).
  • --remove Remove all intermediate files (This option will become default).
  • -l log.txt Log file (optional).
NOTE: Most video transcoding options are still missing and, by default, the system will transcode
the video using H.264 with CRF 23, maintaining the audio intact and storing it as a MP4 file.
Other transcoding options are to create other video files setting bitrate and resolution (optional)
alongside the 1st transcoding (named "original transcoding"). E.g. Three options:
-f 2500K:1280x720 -f 800K:640x360 -f 6000K

About:
This code was part of my undergraduate research to obtain an Electronic Engineering
and Computer Science degree at the Federal University of Rio de Janeiro (UFRJ). The
monograph with all experiments and results is available (Portuguese only) here.
This research also won 1st prize at the WebMedia 2013 Symposium
(Workshop on Ongoing Undergraduate Research) under the title
"Transcodificação Distribuída de Vídeo com Alto Desempenho".
The software was developed at "Laboratório de Computação Paralela e Sistemas Móveis" (Compasso)
Contact:
About
Distributed Transcoder
Resources
Readme
GPL-3.0 license
Activity
Stars
7 stars
Watchers
3 watching
Forks
0 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
Discoder
Distributed Transcoder Tools
This software was created to enable distribution of video transcoding
to multiple computing nodes in a network to scale the processing horizontally.
Many approaches are limited to very few processes (normally up to 10 or 16) with
far from optimal results.
The reason this code is able to achieve almost linear speedups even with 32 CPUs
is because it uses a combination of FFmpeg provided multithread work with a
embarrassingly parallel load of processes. Besides, this system applies load
balancing techniques to minimize the amount of idle CPU time.
With some tests, we realized that not splitting the video data directly into GOPs result
in a much smaller preprocessing overhead, letting each video process do each own
segmentation. Empirically we noted that letting each video segment be at least 2
or 3 times the average GOP size will yield much better results.
How To Use
  • Tested on Ubuntu 13.04. Any Linux box should be fine.
  • Currently you need to have FFmpeg 1.0 or later with libx264 installed. Libav is not tested.
  • Python 2.7 or 3.2+
  • NFS for clusters (You can also run the software on a single machine)
All the the machines where there will be video transcoding are called "nodes". The machine spawning the
processes is called "master". The "master" may own the NFS (recommended) and may also be a transcoding
node (not recommended).
On the nodes you run:
$ python3 /path_to/discoder/start.py node -d

The -d option will start the process as deamon.
On the master you will have to set all your nodes IP addresses on discoder/discoder/nodes.txt file (ne per line).
Then you can run one or more transcoding commands. E.g. for 4 node cluster with dual 4-core HT CPUs:
$ python3 /path_to/discoder/start.py cluster -i some_video_file.mkv -n 4 -p 32 \
--threads 8 --fancy-seek --balance --remove -l log.txt

  • -i ... Input file. Must be available for all nodes on NFS!
  • -n 4 Use the first 4 nodes of nodes.txt.
  • -p 32 Total of 32 simultaneous processes (i.e. 8 per node -- should be 1 per real core).
  • --threads 8 Number of threads per process (Should be about 1 per real core).
  • --fancy-seek Accurate seek without decoding (This option will become default). On FFmpeg 2.1+
this is the current behaviour, but this flag is still needed.
  • --balance Enable load balancing (This option will become default).
  • --remove Remove all intermediate files (This option will become default).
  • -l log.txt Log file (optional).
NOTE: Most video transcoding options are still missing and, by default, the system will transcode
the video using H.264 with CRF 23, maintaining the audio intact and storing it as a MP4 file.
Other transcoding options are to create other video files setting bitrate and resolution (optional)
alongside the 1st transcoding (named "original transcoding"). E.g. Three options:
-f 2500K:1280x720 -f 800K:640x360 -f 6000K

About:
This code was part of my undergraduate research to obtain an Electronic Engineering
and Computer Science degree at the Federal University of Rio de Janeiro (UFRJ). The
monograph with all experiments and results is available (Portuguese only) here.
This research also won 1st prize at the WebMedia 2013 Symposium
(Workshop on Ongoing Undergraduate Research) under the title
"Transcodificação Distribuída de Vídeo com Alto Desempenho".
The software was developed at "Laboratório de Computação Paralela e Sistemas Móveis" (Compasso)
Contact:
About
Distributed Transcoder
Resources
Readme
GPL-3.0 license
Activity
Stars
7 stars
Watchers
3 watching
Forks
0 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
Discoder
Distributed Transcoder Tools
This software was created to enable distribution of video transcoding
to multiple computing nodes in a network to scale the processing horizontally.
Many approaches are limited to very few processes (normally up to 10 or 16) with
far from optimal results.
The reason this code is able to achieve almost linear speedups even with 32 CPUs
is because it uses a combination of FFmpeg provided multithread work with a
embarrassingly parallel load of processes. Besides, this system applies load
balancing techniques to minimize the amount of idle CPU time.
With some tests, we realized that not splitting the video data directly into GOPs result
in a much smaller preprocessing overhead, letting each video process do each own
segmentation. Empirically we noted that letting each video segment be at least 2
or 3 times the average GOP size will yield much better results.
How To Use
  • Tested on Ubuntu 13.04. Any Linux box should be fine.
  • Currently you need to have FFmpeg 1.0 or later with libx264 installed. Libav is not tested.
  • Python 2.7 or 3.2+
  • NFS for clusters (You can also run the software on a single machine)
All the the machines where there will be video transcoding are called "nodes". The machine spawning the
processes is called "master". The "master" may own the NFS (recommended) and may also be a transcoding
node (not recommended).
On the nodes you run:
$ python3 /path_to/discoder/start.py node -d

The -d option will start the process as deamon.
On the master you will have to set all your nodes IP addresses on discoder/discoder/nodes.txt file (ne per line).
Then you can run one or more transcoding commands. E.g. for 4 node cluster with dual 4-core HT CPUs:
$ python3 /path_to/discoder/start.py cluster -i some_video_file.mkv -n 4 -p 32 \
--threads 8 --fancy-seek --balance --remove -l log.txt

  • -i ... Input file. Must be available for all nodes on NFS!
  • -n 4 Use the first 4 nodes of nodes.txt.
  • -p 32 Total of 32 simultaneous processes (i.e. 8 per node -- should be 1 per real core).
  • --threads 8 Number of threads per process (Should be about 1 per real core).
  • --fancy-seek Accurate seek without decoding (This option will become default). On FFmpeg 2.1+
this is the current behaviour, but this flag is still needed.
  • --balance Enable load balancing (This option will become default).
  • --remove Remove all intermediate files (This option will become default).
  • -l log.txt Log file (optional).
NOTE: Most video transcoding options are still missing and, by default, the system will transcode
the video using H.264 with CRF 23, maintaining the audio intact and storing it as a MP4 file.
Other transcoding options are to create other video files setting bitrate and resolution (optional)
alongside the 1st transcoding (named "original transcoding"). E.g. Three options:
-f 2500K:1280x720 -f 800K:640x360 -f 6000K

About:
This code was part of my undergraduate research to obtain an Electronic Engineering
and Computer Science degree at the Federal University of Rio de Janeiro (UFRJ). The
monograph with all experiments and results is available (Portuguese only) here.
This research also won 1st prize at the WebMedia 2013 Symposium
(Workshop on Ongoing Undergraduate Research) under the title
"Transcodificação Distribuída de Vídeo com Alto Desempenho".
The software was developed at "Laboratório de Computação Paralela e Sistemas Móveis" (Compasso)
Contact:
About
Distributed Transcoder
Resources
Readme
GPL-3.0 license
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7 stars
Watchers
3 watching
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0 forks
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Discoder
Distributed Transcoder Tools
This software was created to enable distribution of video transcoding
to multiple computing nodes in a network to scale the processing horizontally.
Many approaches are limited to very few processes (normally up to 10 or 16) with
far from optimal results.
The reason this code is able to achieve almost linear speedups even with 32 CPUs
is because it uses a combination of FFmpeg provided multithread work with a
embarrassingly parallel load of processes. Besides, this system applies load
balancing techniques to minimize the amount of idle CPU time.
With some tests, we realized that not splitting the video data directly into GOPs result
in a much smaller preprocessing overhead, letting each video process do each own
segmentation. Empirically we noted that letting each video segment be at least 2
or 3 times the average GOP size will yield much better results.
How To Use
  • Tested on Ubuntu 13.04. Any Linux box should be fine.
  • Currently you need to have FFmpeg 1.0 or later with libx264 installed. Libav is not tested.
  • Python 2.7 or 3.2+
  • NFS for clusters (You can also run the software on a single machine)
All the the machines where there will be video transcoding are called "nodes". The machine spawning the
processes is called "master". The "master" may own the NFS (recommended) and may also be a transcoding
node (not recommended).
On the nodes you run:
$ python3 /path_to/discoder/start.py node -d

The -d option will start the process as deamon.
On the master you will have to set all your nodes IP addresses on discoder/discoder/nodes.txt file (ne per line).
Then you can run one or more transcoding commands. E.g. for 4 node cluster with dual 4-core HT CPUs:
$ python3 /path_to/discoder/start.py cluster -i some_video_file.mkv -n 4 -p 32 \
--threads 8 --fancy-seek --balance --remove -l log.txt

  • -i ... Input file. Must be available for all nodes on NFS!
  • -n 4 Use the first 4 nodes of nodes.txt.
  • -p 32 Total of 32 simultaneous processes (i.e. 8 per node -- should be 1 per real core).
  • --threads 8 Number of threads per process (Should be about 1 per real core).
  • --fancy-seek Accurate seek without decoding (This option will become default). On FFmpeg 2.1+
this is the current behaviour, but this flag is still needed.
  • --balance Enable load balancing (This option will become default).
  • --remove Remove all intermediate files (This option will become default).
  • -l log.txt Log file (optional).
NOTE: Most video transcoding options are still missing and, by default, the system will transcode
the video using H.264 with CRF 23, maintaining the audio intact and storing it as a MP4 file.
Other transcoding options are to create other video files setting bitrate and resolution (optional)
alongside the 1st transcoding (named "original transcoding"). E.g. Three options:
-f 2500K:1280x720 -f 800K:640x360 -f 6000K

About:
This code was part of my undergraduate research to obtain an Electronic Engineering
and Computer Science degree at the Federal University of Rio de Janeiro (UFRJ). The
monograph with all experiments and results is available (Portuguese only) here.
This research also won 1st prize at the WebMedia 2013 Symposium
(Workshop on Ongoing Undergraduate Research) under the title
"Transcodificação Distribuída de Vídeo com Alto Desempenho".
The software was developed at "Laboratório de Computação Paralela e Sistemas Móveis" (Compasso)
Contact:
About
Distributed Transcoder
Resources
Readme
GPL-3.0 license
Activity
Stars
7 stars
Watchers
3 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

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

Skip to content
BranchesTags
Repository files navigation
Discoder
Distributed Transcoder Tools
This software was created to enable distribution of video transcoding
to multiple computing nodes in a network to scale the processing horizontally.
Many approaches are limited to very few processes (normally up to 10 or 16) with
far from optimal results.
The reason this code is able to achieve almost linear speedups even with 32 CPUs
is because it uses a combination of FFmpeg provided multithread work with a
embarrassingly parallel load of processes. Besides, this system applies load
balancing techniques to minimize the amount of idle CPU time.
With some tests, we realized that not splitting the video data directly into GOPs result
in a much smaller preprocessing overhead, letting each video process do each own
segmentation. Empirically we noted that letting each video segment be at least 2
or 3 times the average GOP size will yield much better results.
How To Use
  • Tested on Ubuntu 13.04. Any Linux box should be fine.
  • Currently you need to have FFmpeg 1.0 or later with libx264 installed. Libav is not tested.
  • Python 2.7 or 3.2+
  • NFS for clusters (You can also run the software on a single machine)
All the the machines where there will be video transcoding are called "nodes". The machine spawning the
processes is called "master". The "master" may own the NFS (recommended) and may also be a transcoding
node (not recommended).
On the nodes you run:
$ python3 /path_to/discoder/start.py node -d

The -d option will start the process as deamon.
On the master you will have to set all your nodes IP addresses on discoder/discoder/nodes.txt file (ne per line).
Then you can run one or more transcoding commands. E.g. for 4 node cluster with dual 4-core HT CPUs:
$ python3 /path_to/discoder/start.py cluster -i some_video_file.mkv -n 4 -p 32 \
--threads 8 --fancy-seek --balance --remove -l log.txt

  • -i ... Input file. Must be available for all nodes on NFS!
  • -n 4 Use the first 4 nodes of nodes.txt.
  • -p 32 Total of 32 simultaneous processes (i.e. 8 per node -- should be 1 per real core).
  • --threads 8 Number of threads per process (Should be about 1 per real core).
  • --fancy-seek Accurate seek without decoding (This option will become default). On FFmpeg 2.1+
this is the current behaviour, but this flag is still needed.
  • --balance Enable load balancing (This option will become default).
  • --remove Remove all intermediate files (This option will become default).
  • -l log.txt Log file (optional).
NOTE: Most video transcoding options are still missing and, by default, the system will transcode
the video using H.264 with CRF 23, maintaining the audio intact and storing it as a MP4 file.
Other transcoding options are to create other video files setting bitrate and resolution (optional)
alongside the 1st transcoding (named "original transcoding"). E.g. Three options:
-f 2500K:1280x720 -f 800K:640x360 -f 6000K

About:
This code was part of my undergraduate research to obtain an Electronic Engineering
and Computer Science degree at the Federal University of Rio de Janeiro (UFRJ). The
monograph with all experiments and results is available (Portuguese only) here.
This research also won 1st prize at the WebMedia 2013 Symposium
(Workshop on Ongoing Undergraduate Research) under the title
"Transcodificação Distribuída de Vídeo com Alto Desempenho".
The software was developed at "Laboratório de Computação Paralela e Sistemas Móveis" (Compasso)
Contact:
About
Distributed Transcoder
Resources
Readme
GPL-3.0 license
Activity
Stars
7 stars
Watchers
3 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages