python-fsb5
python-fsb5 copied to clipboard
Library and tool to extract audio from FSB5 (FMOD Sample Bank) files
python-fsb5
Python library and tool to extract FSB5 (FMOD Sample Bank) files.
Supported formats
- MPEG
- Vorbis (OGG)
- WAVE (PCM8, PCM16, PCM32)
Other formats can be identified but will be extracted as .dat
files and may not play as the headers may be missing.
Tool Usage
usage: extract.py [-h] [-o OUTPUT_DIRECTORY] [-p] [-q]
[fsb_file [fsb_file ...]]
Extract audio samples from FSB5 files
positional arguments:
fsb_file FSB5 container to extract audio from (defaults to
stdin)
optional arguments:
-h, --help show this help message and exit
-o OUTPUT_DIRECTORY, --output-directory OUTPUT_DIRECTORY
output directory to write extracted samples into
-q, --quiet suppress output of header and sample information
(samples that failed to decode will still be printed)
Resource files
Unity3D packs multiple FSB5 files each containing a single sample into it's .resource
files.
python-fsb5 will automatically extract all samples if multiple FSB5s are found within one file.
Output files will be prefixed with the (0 based) index of their FSB container within the resource file e.g. out/sounds-15-track1.wav
is the path for a WAVE sample named track1 which is contained within the 16th FSB file within sounds.resource.
Unnamed samples
FSB5 does not require samples to store a name. If samples are stored without a name they will use their index within the FSB e.g. sounds-0000.mp3
is the first sample in sounds.fsb.
Requirements
python-fsb5 should work with python3 from version 3.2 and up.
libogg
and libvorbis
are required to decode ogg samples. For linux simply install from your package manager. For windows ensure the dlls are avaliable (ie. in System32 or the directory you are running the script from). Known working dlls are avaliable as part of the release.
If ogg files are not required to be decoded then the libraries are not required.
Library usage
import fsb5
# read the file into a FSB5 object
with open('sample.fsb', 'rb') as f:
fsb = fsb5.FSB5(f.read())
print(fsb.header)
# get the extension of samples based off the sound format specified in the header
ext = fsb.get_sample_extension()
# iterate over samples
for sample in fsb.samples:
# print sample properties
print('''\t{sample.name}.{extension}:
Frequency: {sample.frequency}
Channels: {sample.channels}
Samples: {sample.samples}'''.format(sample=sample, extension=ext))
# rebuild the sample and save
with open('{0}.{1}'.format(sample.name, ext), 'wb') as f:
rebuilt_sample = fsb.rebuild_sample(sample)
f.write(rebuilt_sample)
Useful header properties
-
numSamples
: The number of samples contained in the file -
mode
: The audio format of all samples. Can be one of:
-
fsb5.SoundFormat.NONE
-
fsb5.SoundFormat.PCM8
-
fsb5.SoundFormat.PCM16
-
fsb5.SoundFormat.PCM24
-
fsb5.SoundFormat.PCM32
-
fsb5.SoundFormat.PCMFLOAT
-
fsb5.SoundFormat.GCADPCM
-
fsb5.SoundFormat.IMAADPCM
-
fsb5.SoundFormat.VAG
-
fsb5.SoundFormat.HEVAG
-
fsb5.SoundFormat.XMA
-
fsb5.SoundFormat.MPEG
-
fsb5.SoundFormat.CELT
-
fsb5.SoundFormat.AT9
-
fsb5.SoundFormat.XWMA
-
fsb5.SoundFormat.VORBIS
Useful sample properties
-
name
: The name of the sample, or a 4 digit number if names are not provided. -
frequency
: The sample rate of the audio -
channels
: The number of channels of audio (either 1 or 2) -
samples
: The number of samples in the audio -
metadata
: A dictionary offsb5.MetadataChunkType
to tuple (sometimes namedtuple) or bytes.
All contents of sample.metadata is optional and often not provided. Several metadata types seem to override sample properties.
Supported fsb5.MetadataChunkType
s are:
-
CHANNELS
: A 1-tuple containing the number of channels -
FREQUENCY
: A 1-tuple containing the sample rate -
LOOP
: A 2-tuple of the loop start and end -
XMASEEK
: Raw bytes -
DSPCOEFF
: Raw bytes -
XWMADATA
: Raw bytes -
VORBISDATA
: A named tuple with propertiescrc32
(int) andunknown
(bytes)
If a metadata chunk is unrecognized it will be included in the dictionary as an interger mapping to a bytes.
Rebuilding samples
Samples also have the data
property.
This contains the raw, unprocessed audio data for that sample from the FSB file.
To reconstruct a playable version of the audio use rebuild_sample
on the FSB5 object passing the sample desired to be rebuilt.
License
python-fsb5 is licensed under the terms of the MIT license. The full text of the license is available in the LICENSE file.