refine uvr job
Browse files- inst.py +9 -6
- requirements.txt +1 -1
inst.py
CHANGED
@@ -22,6 +22,11 @@ from separate import (
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def run_ensemble_models(audio_path, export_path, format=WAV, clean=True):
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start = datetime.now()
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process_datas = [mdx23c_8kfft_instvoc_hq_process_data, uvr_mdx_net_voc_ft_process_data,
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htdemucs_ft_process_data]
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@@ -77,9 +82,6 @@ def run_ensemble_models(audio_path, export_path, format=WAV, clean=True):
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vocals_export_paths.append(str(vocals_path))
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# merge each model outputs
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-
vocals_final_path = Path(export_path) / f"{Path(audio_path).stem}.vocal.{format.lower()}"
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instrumental_final_path = Path(export_path) / f"{Path(audio_path).stem}.instrumental.{format.lower()}"
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-
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ensemble(vocals_export_paths, vocals_final_path)
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ensemble(instrumental_export_paths, instrumental_final_path)
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@@ -106,9 +108,10 @@ def uvr_job(song_id, platform='netease'):
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audio_file = f'{song_id}.m4a' if platform == 'youtube' else f'{song_id}.mp3'
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audio_path = os.path.join(audio_dir, audio_file)
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instrumental_path, vocals_path = run_ensemble_models(audio_file, audio_dir)
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return instrumental_path
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def run_ensemble_models(audio_path, export_path, format=WAV, clean=True):
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vocals_final_path = Path(export_path) / f"{Path(audio_path).stem}.vocal.{format.lower()}"
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instrumental_final_path = Path(export_path) / f"{Path(audio_path).stem}.instrumental.{format.lower()}"
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if os.path.isfile(instrumental_final_path) and os.path.isfile(vocals_final_path):
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return instrumental_final_path, vocals_final_path
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start = datetime.now()
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process_datas = [mdx23c_8kfft_instvoc_hq_process_data, uvr_mdx_net_voc_ft_process_data,
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htdemucs_ft_process_data]
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vocals_export_paths.append(str(vocals_path))
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# merge each model outputs
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ensemble(vocals_export_paths, vocals_final_path)
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ensemble(instrumental_export_paths, instrumental_final_path)
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audio_file = f'{song_id}.m4a' if platform == 'youtube' else f'{song_id}.mp3'
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audio_path = os.path.join(audio_dir, audio_file)
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+
if not os.path.isfile(audio_path):
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url = f"http://or.luotao.net/api/download_song?song_id={song_id}&platform={platform}"
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r = requests.get(url, allow_redirects=True)
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open(audio_path, 'wb').write(r.content)
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instrumental_path, vocals_path = run_ensemble_models(audio_file, audio_dir)
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return instrumental_path
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requirements.txt
CHANGED
@@ -1,7 +1,7 @@
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altgraph==0.17.3
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audioread==3.0.0
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certifi==2022.12.07
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-
cffi==1.
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cryptography==3.4.6
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einops==0.6.0
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future==0.18.3
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altgraph==0.17.3
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audioread==3.0.0
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certifi==2022.12.07
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+
cffi==1.16.0
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cryptography==3.4.6
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einops==0.6.0
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future==0.18.3
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