Reading Vision Research .cine files with python
If you have Python 3 installed you can just use pip
:
pip3 install -U pycine
pip install git+https://github.com/ottomatic-io/pycine.git
pfs_meta set --playback-fps 60/1.001 --timecode_fps 60/1.001 A001C001_190302_16001.cine
You can also set metadata for multiple clips at once:
pfs_meta set --playback-fps 24/1.001 --timecode_fps 24/1.001 *.cine
Every command has its own help output. Just append --help
:
$ pfs_meta --help
Usage: pfs_meta [OPTIONS] COMMAND [ARGS]...
This tool allows .cine file metadata manipulation. Use COMMAND --help for
more info.
Options:
--help Show this message and exit.
Commands:
copy Copy metadata from a source clip
set Set metadata
show Show metadata
$ pfs_meta set --help
Usage: pfs_meta set [OPTIONS] [DESTINATIONS]...
Set metadata
Options:
--temp FLOAT Set color temperature.
--cc FLOAT Set color correction.
--record-fps INTEGER Set record FPS.
--playback-fps TEXT Set playback FPS. Use 60 or 60/1.001 but not 59.94
--timecode-fps TEXT Set timecode FPS. Use 60 or 60/1.001 but not 59.94
--tone TEXT Set tone curve in the form of "[LABEL] x1 y1 x2 y2".
You can set up to 32 xy points.
--help Show this message and exit.
$ pfs_raw --help
Usage: pfs_raw [OPTIONS] CINE_FILE [OUT_PATH]
Options:
--file-format [.png|.jpg|.tif]
--start-frame INTEGER
--count INTEGER
--version Show the version and exit.
--help Show this message and exit.
Check out an example on how to use the library from a jupyter notebook: notebooks/Display frames.ipynb