mirror of
https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git
synced 2026-01-19 18:41:52 +00:00
Add files via upload
This commit is contained in:
195
infer-web.py
195
infer-web.py
@@ -44,7 +44,7 @@ now_dir = os.getcwd()
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tmp = os.path.join(now_dir, "TEMP")
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shutil.rmtree(tmp, ignore_errors=True)
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shutil.rmtree(
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"%s/runtime/Lib/site-packages/lib.infer_pack" % (now_dir), ignore_errors=True
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"%s/runtime/Lib/site-packages/infer_pack" % (now_dir), ignore_errors=True
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)
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shutil.rmtree("%s/runtime/Lib/site-packages/uvr5_pack" % (now_dir), ignore_errors=True)
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os.makedirs(tmp, exist_ok=True)
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@@ -542,7 +542,7 @@ def preprocess_dataset(trainset_dir, exp_dir, sr, n_p):
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f.close()
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cmd = (
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config.python_cmd
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+ " trainset_preprocess_pipeline_print.py %s %s %s %s/logs/%s "
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+ ' trainset_preprocess_pipeline_print.py "%s" %s %s "%s/logs/%s" '
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% (trainset_dir, sr, n_p, now_dir, exp_dir)
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+ str(config.noparallel)
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)
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@@ -570,41 +570,83 @@ def preprocess_dataset(trainset_dir, exp_dir, sr, n_p):
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# but2.click(extract_f0,[gpus6,np7,f0method8,if_f0_3,trainset_dir4],[info2])
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def extract_f0_feature(gpus, n_p, f0method, if_f0, exp_dir, version19):
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def extract_f0_feature(gpus, n_p, f0method, if_f0, exp_dir, version19,gpus_rmvpe):
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gpus = gpus.split("-")
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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:
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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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n_p,
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f0method,
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)
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print(cmd)
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p = Popen(cmd, shell=True, cwd=now_dir) # , stdin=PIPE, stdout=PIPE,stderr=PIPE
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###煞笔gr, popen read都非得全跑完了再一次性读取, 不用gr就正常读一句输出一句;只能额外弄出一个文本流定时读
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done = [False]
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threading.Thread(
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target=if_done,
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args=(
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done,
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p,
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),
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).start()
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while 1:
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with open(
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"%s/logs/%s/extract_f0_feature.log" % (now_dir, exp_dir), "r"
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) as f:
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yield (f.read())
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sleep(1)
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if done[0]:
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break
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with open("%s/logs/%s/extract_f0_feature.log" % (now_dir, exp_dir), "r") as f:
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log = f.read()
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print(log)
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yield log
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if(f0method!="rmvpe_gpu"):
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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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n_p,
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f0method,
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)
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print(cmd)
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p = Popen(cmd, shell=True, cwd=now_dir) # , stdin=PIPE, stdout=PIPE,stderr=PIPE
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###煞笔gr, popen read都非得全跑完了再一次性读取, 不用gr就正常读一句输出一句;只能额外弄出一个文本流定时读
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done = [False]
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threading.Thread(
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target=if_done,
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args=(
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done,
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p,
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),
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).start()
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while 1:
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with open(
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"%s/logs/%s/extract_f0_feature.log" % (now_dir, exp_dir), "r"
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) as f:
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yield (f.read())
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sleep(1)
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if done[0]:
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break
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with open("%s/logs/%s/extract_f0_feature.log" % (now_dir, exp_dir), "r") as f:
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log = f.read()
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print(log)
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yield log
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else:
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gpus_rmvpe = gpus_rmvpe.split("-")
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leng = len(gpus_rmvpe)
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ps = []
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for idx, n_g in enumerate(gpus_rmvpe):
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cmd = (
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config.python_cmd
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+ ' extract_f0_rmvpe.py %s %s %s "%s/logs/%s" %s '
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% (
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leng,
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idx,
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n_g,
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now_dir,
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exp_dir,
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config.is_half
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)
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)
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print(cmd)
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p = Popen(
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cmd, shell=True, cwd=now_dir
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) # , shell=True, stdin=PIPE, stdout=PIPE, stderr=PIPE, cwd=now_dir
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ps.append(p)
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###煞笔gr, popen read都非得全跑完了再一次性读取, 不用gr就正常读一句输出一句;只能额外弄出一个文本流定时读
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done = [False]
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threading.Thread(
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target=if_done_multi,
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args=(
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done,
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ps,
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),
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).start()
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while 1:
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with open("%s/logs/%s/extract_f0_feature.log" % (now_dir, exp_dir), "r") as f:
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yield (f.read())
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sleep(1)
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if done[0]:
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break
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with open("%s/logs/%s/extract_f0_feature.log" % (now_dir, exp_dir), "r") as f:
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log = f.read()
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print(log)
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yield log
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####对不同part分别开多进程
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"""
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n_part=int(sys.argv[1])
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@@ -618,7 +660,7 @@ def extract_f0_feature(gpus, n_p, f0method, if_f0, exp_dir, version19):
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for idx, n_g in enumerate(gpus):
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cmd = (
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config.python_cmd
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+ " extract_feature_print.py %s %s %s %s %s/logs/%s %s"
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+ ' extract_feature_print.py %s %s %s %s "%s/logs/%s" %s'
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% (
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config.device,
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leng,
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@@ -854,7 +896,7 @@ def click_train(
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if gpus16:
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cmd = (
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config.python_cmd
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+ " train_nsf_sim_cache_sid_load_pretrain.py -e %s -sr %s -f0 %s -bs %s -g %s -te %s -se %s %s %s -l %s -c %s -sw %s -v %s"
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+ ' train_nsf_sim_cache_sid_load_pretrain.py -e "%s" -sr %s -f0 %s -bs %s -g %s -te %s -se %s %s %s -l %s -c %s -sw %s -v %s'
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% (
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exp_dir1,
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sr2,
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@@ -874,7 +916,7 @@ def click_train(
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else:
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cmd = (
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config.python_cmd
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+ " train_nsf_sim_cache_sid_load_pretrain.py -e %s -sr %s -f0 %s -bs %s -te %s -se %s %s %s -l %s -c %s -sw %s -v %s"
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+ ' train_nsf_sim_cache_sid_load_pretrain.py -e "%s" -sr %s -f0 %s -bs %s -te %s -se %s %s %s -l %s -c %s -sw %s -v %s'
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% (
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exp_dir1,
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sr2,
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@@ -995,7 +1037,7 @@ def train1key(
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gpus16,
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if_cache_gpu17,
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if_save_every_weights18,
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version19,
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version19,gpus_rmvpe
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):
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infos = []
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@@ -1018,7 +1060,7 @@ def train1key(
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open(preprocess_log_path, "w").close()
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cmd = (
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config.python_cmd
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+ " trainset_preprocess_pipeline_print.py %s %s %s %s "
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+ ' trainset_preprocess_pipeline_print.py "%s" %s %s "%s" '
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% (trainset_dir4, sr_dict[sr2], np7, model_log_dir)
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+ str(config.noparallel)
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)
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@@ -1032,14 +1074,38 @@ def train1key(
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open(extract_f0_feature_log_path, "w")
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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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np7,
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f0method8,
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)
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yield get_info_str(cmd)
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p = Popen(cmd, shell=True, cwd=now_dir)
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p.wait()
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if(f0method8!="rmvpe_gpu"):
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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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np7,
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f0method8,
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)
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yield get_info_str(cmd)
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p = Popen(cmd, shell=True, cwd=now_dir)
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p.wait()
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else:
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gpus_rmvpe = gpus_rmvpe.split("-")
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leng = len(gpus_rmvpe)
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ps = []
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for idx, n_g in enumerate(gpus_rmvpe):
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cmd = (
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config.python_cmd
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+ ' extract_f0_rmvpe.py %s %s %s "%s" %s '
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% (
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leng,
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idx,
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n_g,
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model_log_dir,
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config.is_half
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)
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)
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yield get_info_str(cmd)
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p = Popen(
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cmd, shell=True, cwd=now_dir
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) # , shell=True, stdin=PIPE, stdout=PIPE, stderr=PIPE, cwd=now_dir
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ps.append(p)
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for p in ps:
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p.wait()
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with open(extract_f0_feature_log_path, "r") as f:
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print(f.read())
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else:
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@@ -1050,7 +1116,7 @@ def train1key(
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leng = len(gpus)
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ps = []
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for idx, n_g in enumerate(gpus):
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cmd = config.python_cmd + " extract_feature_print.py %s %s %s %s %s %s" % (
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cmd = config.python_cmd + ' extract_feature_print.py %s %s %s %s "%s" %s' % (
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config.device,
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leng,
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idx,
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@@ -1131,7 +1197,7 @@ def train1key(
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if gpus16:
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cmd = (
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config.python_cmd
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+ " train_nsf_sim_cache_sid_load_pretrain.py -e %s -sr %s -f0 %s -bs %s -g %s -te %s -se %s %s %s -l %s -c %s -sw %s -v %s"
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+ ' train_nsf_sim_cache_sid_load_pretrain.py -e "%s" -sr %s -f0 %s -bs %s -g %s -te %s -se %s %s %s -l %s -c %s -sw %s -v %s'
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% (
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exp_dir1,
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sr2,
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@@ -1151,7 +1217,7 @@ def train1key(
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else:
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cmd = (
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config.python_cmd
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+ " train_nsf_sim_cache_sid_load_pretrain.py -e %s -sr %s -f0 %s -bs %s -te %s -se %s %s %s -l %s -c %s -sw %s -v %s"
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+ ' train_nsf_sim_cache_sid_load_pretrain.py -e "%s" -sr %s -f0 %s -bs %s -te %s -se %s %s %s -l %s -c %s -sw %s -v %s'
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% (
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exp_dir1,
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sr2,
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@@ -1252,6 +1318,10 @@ def change_info_(ckpt_path):
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traceback.print_exc()
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return {"__type__": "update"}, {"__type__": "update"}, {"__type__": "update"}
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def change_f0_method(f0method8):
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if(f0method8=="rmvpe_gpu"):visible=True
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else:visible=False
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return {"visible": visible, "__type__": "update"}
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def export_onnx(ModelPath, ExportedPath):
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global cpt
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@@ -1340,7 +1410,7 @@ with gr.Blocks(title="RVC WebUI") as app:
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)
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f0method0 = gr.Radio(
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label=i18n(
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"选择音高提取算法,输入歌声可用pm提速,harvest低音好但巨慢无比,crepe效果好但吃GPU"
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"选择音高提取算法,输入歌声可用pm提速,harvest低音好但巨慢无比,crepe效果好但吃GPU,rmvpe效果最好且微吃GPU"
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),
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choices=["pm", "harvest", "crepe", "rmvpe"],
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value="pm",
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@@ -1442,7 +1512,7 @@ with gr.Blocks(title="RVC WebUI") as app:
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opt_input = gr.Textbox(label=i18n("指定输出文件夹"), value="opt")
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f0method1 = gr.Radio(
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label=i18n(
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"选择音高提取算法,输入歌声可用pm提速,harvest低音好但巨慢无比,crepe效果好但吃GPU"
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"选择音高提取算法,输入歌声可用pm提速,harvest低音好但巨慢无比,crepe效果好但吃GPU,rmvpe效果最好且微吃GPU"
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),
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choices=["pm", "harvest", "crepe", "rmvpe"],
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value="pm",
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@@ -1630,7 +1700,7 @@ with gr.Blocks(title="RVC WebUI") as app:
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version19 = gr.Radio(
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label=i18n("版本"),
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choices=["v1", "v2"],
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value="v1",
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value="v2",
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interactive=True,
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visible=True,
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)
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@@ -1680,15 +1750,26 @@ with gr.Blocks(title="RVC WebUI") as app:
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label=i18n(
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"选择音高提取算法:输入歌声可用pm提速,高质量语音但CPU差可用dio提速,harvest质量更好但慢"
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),
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choices=["pm", "harvest", "dio"],
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value="harvest",
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choices=["pm", "harvest", "dio", "rmvpe", "rmvpe_gpu"],
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value="rmvpe_gpu",
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interactive=True,
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)
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gpus_rmvpe = gr.Textbox(
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label=i18n("rmvpe卡号配置:以-分隔输入使用的不同进程卡号,例如0-0-1使用在卡0上跑2个进程并在卡1上跑1个进程"),
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value="%s-%s"%(gpus,gpus),
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interactive=True,
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visible=True
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)
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but2 = gr.Button(i18n("特征提取"), variant="primary")
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info2 = gr.Textbox(label=i18n("输出信息"), value="", max_lines=8)
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f0method8.change(
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fn=change_f0_method,
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inputs=[f0method8],
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outputs=[gpus_rmvpe],
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)
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but2.click(
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extract_f0_feature,
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[gpus6, np7, f0method8, if_f0_3, exp_dir1, version19],
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[gpus6, np7, f0method8, if_f0_3, exp_dir1, version19,gpus_rmvpe],
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[info2],
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)
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with gr.Group():
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@@ -1741,12 +1822,12 @@ with gr.Blocks(title="RVC WebUI") as app:
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with gr.Row():
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pretrained_G14 = gr.Textbox(
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label=i18n("加载预训练底模G路径"),
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value="pretrained/f0G40k.pth",
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value="pretrained_v2/f0G40k.pth",
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interactive=True,
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)
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pretrained_D15 = gr.Textbox(
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label=i18n("加载预训练底模D路径"),
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value="pretrained/f0D40k.pth",
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value="pretrained_v2/f0D40k.pth",
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interactive=True,
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)
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sr2.change(
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@@ -1813,7 +1894,7 @@ with gr.Blocks(title="RVC WebUI") as app:
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gpus16,
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if_cache_gpu17,
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if_save_every_weights18,
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version19,
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version19,gpus_rmvpe
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],
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info3,
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)
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Reference in New Issue
Block a user