mirror of
https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI.git
synced 2026-06-07 10:10:23 +08:00
feat(audio): use PyAV instead of ffmpeg
replaced usage of ffmpeg in favor of PyAV (`av`)
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@@ -6,6 +6,7 @@ logger = logging.getLogger(__name__)
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import librosa
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import numpy as np
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import soundfile as sf
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import av
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import torch
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from infer.lib.uvr5_pack.lib_v5 import nets_123821KB as Nets
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@@ -146,12 +147,7 @@ class AudioPre:
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)
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if os.path.exists(path):
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opt_format_path = path[:-4] + ".%s" % format
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os.system(f'ffmpeg -i "{path}" -vn "{opt_format_path}" -q:a 2 -y')
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if os.path.exists(opt_format_path):
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try:
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os.remove(path)
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except:
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pass
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process_audio(path, opt_format_path, format)
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if vocal_root is not None:
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if is_hp3 == True:
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head = "instrument_"
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@@ -185,15 +181,38 @@ class AudioPre:
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(np.array(wav_vocals) * 32768).astype("int16"),
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self.mp.param["sr"],
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)
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if os.path.exists(path):
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opt_format_path = path[:-4] + ".%s" % format
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os.system(f'ffmpeg -i "{path}" -vn "{opt_format_path}" -q:a 2 -y')
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if os.path.exists(opt_format_path):
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try:
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os.remove(path)
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except:
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pass
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opt_format_path = path[:-4] + ".%s" % format
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process_audio(path, opt_format_path, format)
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def process_audio(input_path: str, output_path: str, format: str) -> None:
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if not os.path.exists(input_path): return
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input_container = av.open(input_path)
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output_container = av.open(output_path, 'w')
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# Create a stream in the output container
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input_stream = input_container.streams.audio[0]
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output_stream = output_container.add_stream(format)
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output_stream.bit_rate = 128_000 # 128kb/s (equivalent to -q:a 2)
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# Copy packets from the input file to the output file
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for packet in input_container.demux(input_stream):
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for frame in packet.decode():
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for out_packet in output_stream.encode(frame):
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output_container.mux(out_packet)
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for packet in output_stream.encode():
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output_container.mux(packet)
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# Close the containers
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input_container.close()
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output_container.close()
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try: # Remove the original file
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os.remove(input_path)
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except Exception as e:
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print(f"Failed to remove the original file: {e}")
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class AudioPreDeEcho:
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def __init__(self, agg, model_path, device, is_half, tta=False):
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@@ -323,12 +342,7 @@ class AudioPreDeEcho:
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)
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if os.path.exists(path):
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opt_format_path = path[:-4] + ".%s" % format
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os.system(f'ffmpeg -i "{path}" -vn "{opt_format_path}" -q:a 2 -y')
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if os.path.exists(opt_format_path):
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try:
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os.remove(path)
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except:
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pass
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process_audio(path, opt_format_path, format)
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if vocal_root is not None:
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if self.data["high_end_process"].startswith("mirroring"):
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input_high_end_ = spec_utils.mirroring(
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@@ -360,9 +374,4 @@ class AudioPreDeEcho:
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)
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if os.path.exists(path):
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opt_format_path = path[:-4] + ".%s" % format
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os.system(f'ffmpeg -i "{path}" -vn "{opt_format_path}" -q:a 2 -y')
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if os.path.exists(opt_format_path):
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try:
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os.remove(path)
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except:
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pass
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process_audio(path, opt_format_path, format)
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