Use VTT files to edit film. Using MELT, ffmpeg and co.
- mltframework
- ffmpeg from GIT (compiled with libfaac & libx264)
- mplayer (cuz its a reliable way to get framerate)
- node.js
- posix shell
- detox
For Mac Users:
brew install mlt detox mplayer
For Linux Users:
apt-get update && apt-get install mlt detox mplayer
Then:
git clone [email protected]:denjello/VTT-Editor.git
cd VTT-Editor
npm install
At the moment there are two main services:
Example: ./mashup_folder.js -i="/home/user/videos/" -o="test.mp4
Options:
-i, --inputfolder input folder with trailing slash [required]
-o, --outputfile output file with mime suffix [required]
-v, --verbose Use -v=true for extra info [default: false]
-y, --system Use --system=osx if on mac [default: "linux"]
-s, --sensitivity sensitivity of scene detection greater than zero and less
than one [default: 0.1]
-n, --framemin Min number of frames per scene. Scenes with less than this
number of frames will be ignored. It defaults to detected
frames per second (fps). [default: 1]
-x, --framemax Max number of frames per scene as a positive whole number
, greater than or equal to framemin. If the scene has more
frames than framemax, it will be cut at this number of
frames. It defaults to frames per second (fps).
[default: 1]
-r, --randomorder If set to true will randomly slice and dice the file(s)
and put them into your output fuile [default: false]
-l, --randomlength If set to true, it will choose a length between the
framemin and framemax, but always lower than the
scenelength [default: false]
-b, --batch If used it will not transcode, but rather return an
edl. [default: false]
Here is another example that cuts up all of the video files in the folder ~/Videos with a relatively high accuracy of 0.01 (to scene changes) with a minimum cut length of 5 frames and a maximum cut length of 15 frames, random with verbose output:
$ ./mashup_folder.js --inputfolder='~/Videos' --outputfile='test.mp4' --sensitivity=0.01 --framemin=5 --framemax=15 --randomorder=true --randomlength=true --verbose=true
Example: ./edl_dropboring.js -i="/home/user/videos/demo.mp4" -o="test.mp4"
Options:
-i, --inputfile input file [required]
-o, --outputfile output file with mime suffix [required]
-v, --verbose Use -v for extra info [default: false]
-y, --system Use --system=osx if on mac [default: "linux"]
-s, --sensitivity sensitivity of scene detection greater than zero and less
than one] [default: 0.1]
-n, --framemin Min number of frames per scene. Scenes with less than this
number of frames will be ignored. It defaults to detected
frames per second (fps). [default: 1]
-x, --framemax Max number of frames per scene as a positive whole number
, greater than or equal to framemin. If the scene has more
frames than framemax, it will be cut at this number of
frames. It defaults to frames per second (fps).
[default: 1]
-r, --randomorder If set to true will randomly slice and dice the file(s)
and put them into your output fuile [default: false]
-l, --randomlength If set to true, it will choose a length between the
framemin and framemax, but always lower than the
scenelength [default: false]
-b, --batch If available it will not transcode, but rather return an
edl. [default: false]
- Integrate yargs for command line parsing
- Detox Filenames to make them safe crossplatform (submodule → detox.js)
- Rewrite detox.js to be node native and not require detox
- Determine file framerate (mplayer -identify)
- Drop requirement for mplayer and recycle ffprobe call
- Drop
filedependency - Autogenerate scene-cuts based on visual frame difference over time (ffprobe)
- Read files line-by-line into node (submodule → liner.js)
- Remove boring scenes from any video (edl_dropboring.js)
- Randomize non-boring parts of a single film (edl_dropboring_random.js)
- Randomly mashup all non-boring scenes of video files in a single folder.
- Add iteration count to make longer videos
- Add target settings to melt command (height, width, codec etc.)
- Use a VTT file as a source
- Use a
- Integrate sphinx4 to make word-based subtitles with exact time-code.
- Use an English sentence as a source based on Sphinx4's mapping.
- Integrate openCV to do face-tracking and recenter the output
- Integrate frie0r filter chains
- Realtime video stream
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