File size: 1,372 Bytes
82efbf8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | import glob
import os
import sys
import time
from diarizen.pipelines.inference import DiariZenPipeline
"""
Usage: use with two processes.
cd /workspace/DiariZen
python3 infer_batch.py /workspace/MERLIon_audio /workspace/MERLIon_rttm_diarizen 0 2 > /workspace/MERLIon_shard0.log 2>&1 &
python3 infer_batch.py /workspace/MERLIon_audio /workspace/MERLIon_rttm_diarizen 1 2 > /workspace/MERLIon_shard1.log 2>&1 &
"""
audio_dir, rttm_out_dir = sys.argv[1], sys.argv[2]
shard_id, num_shards = (int(sys.argv[3]), int(sys.argv[4])) if len(sys.argv) == 5 else (0, 1)
os.makedirs(rttm_out_dir, exist_ok=True)
diar_pipeline = DiariZenPipeline.from_pretrained(
"BUT-FIT/diarizen-wavlm-large-s80-md-v2",
rttm_out_dir=rttm_out_dir,
)
wavs = sorted(glob.glob(os.path.join(audio_dir, "*.wav")))[shard_id::num_shards]
print(f"shard {shard_id}/{num_shards}: {len(wavs)} wav files", flush=True)
for i, wav in enumerate(wavs, 1):
sess = os.path.splitext(os.path.basename(wav))[0]
rttm_path = os.path.join(rttm_out_dir, f"{sess}.rttm")
if os.path.exists(rttm_path) and os.path.getsize(rttm_path) > 0:
print(f"[{i}/{len(wavs)}] {sess} already done, skip", flush=True)
continue
t0 = time.time()
diar_pipeline(wav, sess_name=sess)
print(f"[{i}/{len(wavs)}] {sess} done in {time.time() - t0:.0f}s", flush=True)
print("all done", flush=True)
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