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https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git
synced 2024-12-29 19:15:04 +08:00
[maintenance] change f0 choice to boolean instead of string yes/no + default sample rate for training to 48k (#265)
This commit is contained in:
Sebastian Gabriel Savu
GitHub
parent
9bab76741e
commit
2086a7dab4
34
infer-web.py
34
infer-web.py
@ -366,7 +366,7 @@ def clean():
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def change_f0(if_f0_3, sr2): # np7, f0method8,pretrained_G14,pretrained_D15
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if if_f0_3 == i18n("是"):
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if if_f0_3:
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return (
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{"visible": True, "__type__": "update"},
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{"visible": True, "__type__": "update"},
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@ -452,7 +452,7 @@ def extract_f0_feature(gpus, n_p, f0method, if_f0, exp_dir):
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os.makedirs("%s/logs/%s" % (now_dir, exp_dir), exist_ok=True)
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f = open("%s/logs/%s/extract_f0_feature.log" % (now_dir, exp_dir), "w")
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f.close()
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if if_f0 == i18n("是"):
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if if_f0:
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cmd = config.python_cmd + " extract_f0_print.py %s/logs/%s %s %s" % (
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now_dir,
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exp_dir,
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@ -528,7 +528,7 @@ def extract_f0_feature(gpus, n_p, f0method, if_f0, exp_dir):
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def change_sr2(sr2, if_f0_3):
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if if_f0_3 == i18n("是"):
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if if_f0_3:
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return "pretrained/f0G%s.pth" % sr2, "pretrained/f0D%s.pth" % sr2
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else:
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return "pretrained/G%s.pth" % sr2, "pretrained/D%s.pth" % sr2
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@ -554,7 +554,7 @@ def click_train(
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os.makedirs(exp_dir, exist_ok=True)
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gt_wavs_dir = "%s/0_gt_wavs" % (exp_dir)
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co256_dir = "%s/3_feature256" % (exp_dir)
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if if_f0_3 == i18n("是"):
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if if_f0_3:
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f0_dir = "%s/2a_f0" % (exp_dir)
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f0nsf_dir = "%s/2b-f0nsf" % (exp_dir)
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names = (
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@ -569,7 +569,7 @@ def click_train(
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)
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opt = []
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for name in names:
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if if_f0_3 == i18n("是"):
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if if_f0_3:
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opt.append(
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"%s/%s.wav|%s/%s.npy|%s/%s.wav.npy|%s/%s.wav.npy|%s"
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% (
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@ -595,7 +595,7 @@ def click_train(
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spk_id5,
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)
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)
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if if_f0_3 == i18n("是"):
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if if_f0_3:
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for _ in range(2):
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opt.append(
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"%s/logs/mute/0_gt_wavs/mute%s.wav|%s/logs/mute/3_feature256/mute.npy|%s/logs/mute/2a_f0/mute.wav.npy|%s/logs/mute/2b-f0nsf/mute.wav.npy|%s"
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@ -621,7 +621,7 @@ def click_train(
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% (
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exp_dir1,
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sr2,
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1 if if_f0_3 == i18n("是") else 0,
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1 if if_f0_3 else 0,
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batch_size12,
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gpus16,
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total_epoch11,
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@ -639,7 +639,7 @@ def click_train(
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% (
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exp_dir1,
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sr2,
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1 if if_f0_3 == i18n("是") else 0,
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1 if if_f0_3 else 0,
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batch_size12,
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total_epoch11,
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save_epoch10,
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@ -754,7 +754,7 @@ def train1key(
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print(f.read())
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#########step2a:提取音高
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open(extract_f0_feature_log_path, "w")
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if if_f0_3 == i18n("是"):
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if if_f0_3:
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yield get_info_str("step2a:正在提取音高")
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cmd = config.python_cmd + " extract_f0_print.py %s %s %s" % (
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model_log_dir,
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@ -793,7 +793,7 @@ def train1key(
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#######step3a:训练模型
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yield get_info_str(i18n("step3a:正在训练模型"))
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# 生成filelist
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if if_f0_3 == i18n("是"):
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if if_f0_3:
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f0_dir = "%s/2a_f0" % model_log_dir
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f0nsf_dir = "%s/2b-f0nsf" % model_log_dir
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names = (
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@ -808,7 +808,7 @@ def train1key(
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)
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opt = []
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for name in names:
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if if_f0_3 == i18n("是"):
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if if_f0_3:
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opt.append(
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"%s/%s.wav|%s/%s.npy|%s/%s.wav.npy|%s/%s.wav.npy|%s"
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% (
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@ -834,7 +834,7 @@ def train1key(
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spk_id5,
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)
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)
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if if_f0_3 == i18n("是"):
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if if_f0_3:
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for _ in range(2):
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opt.append(
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"%s/logs/mute/0_gt_wavs/mute%s.wav|%s/logs/mute/3_feature256/mute.npy|%s/logs/mute/2a_f0/mute.wav.npy|%s/logs/mute/2b-f0nsf/mute.wav.npy|%s"
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@ -857,7 +857,7 @@ def train1key(
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% (
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exp_dir1,
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sr2,
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1 if if_f0_3 == i18n("是") else 0,
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1 if if_f0_3 else 0,
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batch_size12,
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gpus16,
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total_epoch11,
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@ -875,7 +875,7 @@ def train1key(
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% (
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exp_dir1,
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sr2,
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1 if if_f0_3 == i18n("是") else 0,
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1 if if_f0_3 else 0,
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batch_size12,
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total_epoch11,
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save_epoch10,
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@ -1233,13 +1233,13 @@ with gr.Blocks() as app:
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sr2 = gr.Radio(
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label=i18n("目标采样率"),
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choices=["32k", "40k", "48k"],
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value="40k",
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value="48k",
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interactive=True,
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)
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if_f0_3 = gr.Radio(
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label=i18n("模型是否带音高指导(唱歌一定要, 语音可以不要)"),
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choices=[i18n("是"), i18n("否")],
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value=i18n("是"),
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choices=[True, False],
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value=True,
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interactive=True,
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)
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with gr.Group(): # 暂时单人的, 后面支持最多4人的#数据处理
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