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import os | |
from pathlib import Path | |
import click | |
import gin | |
from neural_waveshaping_synthesis.data.utils.create_dataset import create_dataset | |
from neural_waveshaping_synthesis.utils import seed_all | |
INSTRUMENTS = ( | |
"vn", | |
"vc", | |
"fl", | |
"cl", | |
"tpt", | |
"sax", | |
"tbn", | |
"ob", | |
"va", | |
"bn", | |
"hn", | |
"db", | |
) | |
def get_instrument_file_list(instrument_string, directory): | |
return [ | |
str(f) | |
for f in Path(directory).glob( | |
"**/*_%s_*/AuSep*_%s_*.wav" % (instrument_string, instrument_string) | |
) | |
] | |
def main(gin_file, data_directory, output_directory, seed=0, device="cpu"): | |
gin.constant("device", device) | |
gin.parse_config_file(gin_file) | |
seed_all(seed) | |
file_lists = { | |
instrument: get_instrument_file_list(instrument, data_directory) | |
for instrument in INSTRUMENTS | |
} | |
for instrument in file_lists: | |
create_dataset( | |
file_lists[instrument], os.path.join(output_directory, instrument) | |
) | |
if __name__ == "__main__": | |
main() |