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优化笔记本、翻译并重新引入自动push (#48)

* optimize: 精简未用到的配置项并在特征提取初步引入mps

* add cmd argument: --noautoopen

* fix: i18n

* fix

* fix

* add genlocale workflow

* add unitest

* fix

* fix

* fix

* 优化笔记本

* reintroduce Push changes

* disable genlocale on non-main branch

* 将笔记本checkout改为stable
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源文雨 2023-04-13 21:32:08 +08:00 committed by GitHub
parent 55135e0a0e
commit 99996fbe8a
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6 changed files with 90 additions and 25 deletions

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@ -1,5 +1,8 @@
name: genlocale
on: [ push ]
on:
push:
branches:
- main
jobs:
golangci:
name: genlocale
@ -22,3 +25,10 @@ jobs:
git config --local user.email '41898282+github-actions[bot]@users.noreply.github.com'
git add --all
git commit -m "🎨 同步 locale"
- name: Push changes
if: ${{ !github.head_ref }}
uses: ad-m/github-push-action@master
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
branch: main

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@ -58,7 +58,7 @@
"source": [
"#@title 克隆仓库\n",
"\n",
"!git clone --depth=1 https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI\n",
"!git clone --depth=1 -b stable https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI\n",
"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
"!mkdir -p pretrained uvr5_weights"
],
@ -80,11 +80,22 @@
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title 安装aria2\n",
"!apt -y install -qq aria2"
],
"metadata": {
"id": "pqE0PrnuRqI2"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title 下载底模\n",
"!apt -y install -qq aria2\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D32k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o D32k.pth\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D40k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o D40k.pth\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D48k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o D48k.pth\n",
@ -96,12 +107,7 @@
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0D48k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o f0D48k.pth\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G32k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o f0G32k.pth\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G40k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o f0G40k.pth\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G48k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o f0G48k.pth\n",
"\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP2-人声vocals+非人声instrumentals.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/uvr5_weights -o HP2-人声vocals+非人声instrumentals.pth\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP5-主旋律人声vocals+其他instrumentals.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/uvr5_weights -o HP5-主旋律人声vocals+其他instrumentals.pth\n",
"\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt -d /content/Retrieval-based-Voice-Conversion-WebUI -o hubert_base.pt"
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G48k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o f0G48k.pth"
],
"metadata": {
"id": "UG3XpUwEomUz"
@ -109,6 +115,31 @@
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title 下载人声分离模型\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP2-人声vocals+非人声instrumentals.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/uvr5_weights -o HP2-人声vocals+非人声instrumentals.pth\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP5-主旋律人声vocals+其他instrumentals.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/uvr5_weights -o HP5-主旋律人声vocals+其他instrumentals.pth"
],
"metadata": {
"id": "HugjmZqZRuiF"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title 下载hubert_base\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt -d /content/Retrieval-based-Voice-Conversion-WebUI -o hubert_base.pt"
],
"metadata": {
"id": "2RCaT9FTR0ej"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
@ -223,8 +254,12 @@
"#@title 手动预处理(不推荐)\n",
"#@markdown 模型名\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown 采样率\n",
"BITRATE = 48000 #@param {type:\"integer\"}\n",
"#@markdown 使用的进程数\n",
"THREADCOUNT = 8 #@param {type:\"integer\"}\n",
"\n",
"!python3 trainset_preprocess_pipeline_print.py /content/dataset 48000 8 logs/{MODELNAME} True\n"
"!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True\n"
],
"metadata": {
"id": "ZKAyuKb9J6dz"
@ -238,8 +273,14 @@
"#@title 手动提取特征(不推荐)\n",
"#@markdown 模型名\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown 使用的进程数\n",
"THREADCOUNT = 8 #@param {type:\"integer\"}\n",
"#@markdown 音高提取算法\n",
"ALGO = \"harvest\" #@param {type:\"string\"}\n",
"\n",
"!python3 extract_feature_print.py 1 0 0 logs/{MODELNAME}\n"
"!python3 extract_f0_print.py logs/{MODELNAME} {THREADCOUNT} {ALGO}\n",
"\n",
"!python3 extract_feature_print.py cpu 1 0 0 logs/{MODELNAME}\n"
],
"metadata": {
"id": "CrxJqzAUKmPJ"
@ -253,14 +294,22 @@
"#@title 手动训练(不推荐)\n",
"#@markdown 模型名\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown 使用的GPU\n",
"USEGPU = \"0\" #@param {type:\"string\"}\n",
"#@markdown 批大小\n",
"BATCHSIZE = 32 #@param {type:\"integer\"}\n",
"#@markdown 停止的epoch\n",
"MODELEPOCH = 3200 #@param {type:\"integer\"}\n",
"#@markdown 保存epoch间隔\n",
"EPOCHSAVE = 100 #@param {type:\"integer\"}\n",
"#@markdown 采样率\n",
"MODELSAMPLE = \"48k\" #@param {type:\"string\"}\n",
"#@markdown 是否缓存训练集\n",
"CACHEDATA = 1 #@param {type:\"integer\"}\n",
"#@markdown 是否仅保存最新的ckpt文件\n",
"ONLYLATEST = 0 #@param {type:\"integer\"}\n",
"\n",
"!python3 train_nsf_sim_cache_sid_load_pretrain.py -e lulu -sr {MODELSAMPLE} -f0 1 -bs 32 -g 0 -te {MODELEPOCH} -se {EPOCHSAVE} -pg pretrained/f0G{MODELSAMPLE}.pth -pd pretrained/f0D{MODELSAMPLE}.pth -l 0 -c 1\n"
"!python3 train_nsf_sim_cache_sid_load_pretrain.py -e lulu -sr {MODELSAMPLE} -f0 1 -bs {BATCHSIZE} -g {USEGPU} -te {MODELEPOCH} -se {EPOCHSAVE} -pg pretrained/f0G{MODELSAMPLE}.pth -pd pretrained/f0D{MODELSAMPLE}.pth -l {ONLYLATEST} -c {CACHEDATA}\n"
],
"metadata": {
"id": "IMLPLKOaKj58"

6
gui.py
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@ -165,7 +165,7 @@ class GUI:
layout=[
[
sg.Frame(title=i18n('加载模型'),layout=[
[sg.Input(default_text='TEMP\\hubert_base.pt',key='hubert_path'),sg.FileBrowse(i18n('Hubert File'))],
[sg.Input(default_text='TEMP\\hubert_base.pt',key='hubert_path'),sg.FileBrowse(i18n('Hubert模型'))],
[sg.Input(default_text='TEMP\\atri.pth',key='pth_path'),sg.FileBrowse(i18n('选择.pth文件'))],
[sg.Input(default_text='TEMP\\added_IVF512_Flat_atri_baseline_src_feat.index',key='index_path'),sg.FileBrowse(i18n('选择.index文件'))],
[sg.Input(default_text='TEMP\\big_src_feature_atri.npy',key='npy_path'),sg.FileBrowse(i18n('选择.npy文件'))]
@ -187,10 +187,10 @@ class GUI:
[sg.Text(i18n("采样长度")),sg.Slider(range=(0.1,3.0),key='block_time',resolution=0.1,orientation='h',default_value=1.0)],
[sg.Text(i18n("淡入淡出长度")),sg.Slider(range=(0.01,0.15),key='crossfade_length',resolution=0.01,orientation='h',default_value=0.08)],
[sg.Text(i18n("额外推理时长")),sg.Slider(range=(0.05,3.00),key='extra_time',resolution=0.01,orientation='h',default_value=0.05)],
[sg.Checkbox(i18n('Input Noisereduce'),key='I_noise_reduce'),sg.Checkbox(i18n('Output Noisereduce'),key='O_noise_reduce')]
[sg.Checkbox(i18n('输入降噪'),key='I_noise_reduce'),sg.Checkbox(i18n('输出降噪'),key='O_noise_reduce')]
],title=i18n("性能设置"))
],
[sg.Button(i18n("开始音频转换"),key='start_vc'),sg.Button(i18n("停止音频转换"),key='stop_vc'),sg.Text(i18n("Infer Time(ms):")),sg.Text("0",key='infer_time')]
[sg.Button(i18n("开始音频转换"),key='start_vc'),sg.Button(i18n("停止音频转换"),key='stop_vc'),sg.Text(i18n("推理时间(ms):")),sg.Text("0",key='infer_time')]
]
self.window=sg.Window("RVC - GUI",layout=layout)

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@ -76,6 +76,7 @@
"点击查看交流、问题反馈群号": "Click to view the communication and problem feedback group number",
"xxxxx": "xxxxx",
"加载模型": "加载模型",
"Hubert模型": "Hubert File",
"选择.pth文件": "选择.pth文件",
"选择.index文件": "选择.index文件",
"选择.npy文件": "选择.npy文件",
@ -88,8 +89,10 @@
"采样长度": "采样长度",
"淡入淡出长度": "淡入淡出长度",
"额外推理时长": "额外推理时长",
"输出降噪/Output Noisereduce": "输出降噪/Output Noisereduce",
"输入降噪": "Input Noisereduce",
"输出降噪": "Output Noisereduce",
"性能设置": "性能设置",
"开始音频转换": "开始音频转换",
"停止音频转换": "停止音频转换"
"停止音频转换": "停止音频转换",
"推理时间(ms):": "Infer Time(ms):"
}

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@ -76,6 +76,7 @@
"点击查看交流、问题反馈群号": "クリックして交流、問題フィードバックグループ番号を表示",
"xxxxx": "xxxxx",
"加载模型": "モデルをロードする",
"Hubert模型": "Hubert模型",
"选择.pth文件": ".pthファイルを選択する",
"选择.index文件": ".indexファイルを選択する",
"选择.npy文件": ".npyファイルを選択する",
@ -88,8 +89,10 @@
"采样长度": "サンプル長",
"淡入淡出长度": "フェードイン/フェードアウト長",
"额外推理时长": "追加推論時間",
"输出降噪/Output Noisereduce": "出力ノイズリダクション",
"输入降噪": "输入降噪",
"输出降噪": "输出降噪",
"性能设置": "パフォーマンス設定",
"开始音频转换": "音声変換を開始する",
"停止音频转换": "音声変換を停止する"
"停止音频转换": "音声変換を停止する",
"推理时间(ms):": "推理时间(ms):"
}

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@ -76,7 +76,7 @@
"点击查看交流、问题反馈群号": "点击查看交流、问题反馈群号",
"xxxxx": "xxxxx",
"加载模型": "加载模型",
"Hubert File":"Hubert模型",
"Hubert模型": "Hubert模型",
"选择.pth文件": "选择.pth文件",
"选择.index文件": "选择.index文件",
"选择.npy文件": "选择.npy文件",
@ -89,10 +89,10 @@
"采样长度": "采样长度",
"淡入淡出长度": "淡入淡出长度",
"额外推理时长": "额外推理时长",
"Input Noisereduce":"输入降噪",
"Output Noisereduce": "输出降噪",
"输入降噪": "输入降噪",
"输出降噪": "输出降噪",
"性能设置": "性能设置",
"开始音频转换": "开始音频转换",
"停止音频转换": "停止音频转换",
"Infer Time(ms):":"推理时间(ms):"
"推理时间(ms):": "推理时间(ms):"
}