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mirror of synced 2024-11-12 01:40:51 +01:00

👷 Use black[jupyter] (#847)

* 👷 Use black[jupyter]

* 👷 Add missing matrix
This commit is contained in:
Nato Boram 2023-07-23 23:30:01 -04:00 committed by GitHub
parent 18067aa85d
commit ffc99dbd32
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4 changed files with 805 additions and 783 deletions

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@ -4,10 +4,19 @@ on: [pull_request]
permissions:
contents: write
jobs:
pull_format:
runs-on: ubuntu-latest
runs-on: ${{ matrix.os }}
strategy:
matrix:
python-version: ["3.10"]
os: [ubuntu-latest]
fail-fast: false
continue-on-error: true
steps:
- name: checkout
continue-on-error: true
@ -16,14 +25,13 @@ jobs:
ref: ${{ github.head_ref }}
fetch-depth: 0
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Install Black
run: pip install black
run: pip install "black[jupyter]"
- name: Run Black
# run: black $(git ls-files '*.py')

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@ -8,9 +8,17 @@ on:
permissions:
contents: write
pull-requests: write
jobs:
push_format:
runs-on: ubuntu-latest
runs-on: ${{ matrix.os }}
strategy:
matrix:
python-version: ["3.10"]
os: [ubuntu-latest]
fail-fast: false
steps:
- uses: actions/checkout@v3
with:
@ -22,7 +30,7 @@ jobs:
python-version: ${{ matrix.python-version }}
- name: Install Black
run: pip install black
run: pip install "black[jupyter]"
- name: Run Black
# run: black $(git ls-files '*.py')

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@ -34,14 +34,14 @@
},
"outputs": [],
"source": [
"#@title 查看显卡\n",
"# @title 查看显卡\n",
"!nvidia-smi"
]
},
{
"cell_type": "code",
"source": [
"#@title 安装依赖\n",
"# @title 安装依赖\n",
"!apt-get -y install build-essential python3-dev ffmpeg\n",
"!pip3 install --upgrade setuptools wheel\n",
"!pip3 install --upgrade pip\n",
@ -56,7 +56,7 @@
{
"cell_type": "code",
"source": [
"#@title 克隆仓库\n",
"# @title 克隆仓库\n",
"\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",
@ -71,7 +71,7 @@
{
"cell_type": "code",
"source": [
"#@title 更新仓库(一般无需执行)\n",
"# @title 更新仓库(一般无需执行)\n",
"!git pull"
],
"metadata": {
@ -83,7 +83,7 @@
{
"cell_type": "code",
"source": [
"#@title 安装aria2\n",
"# @title 安装aria2\n",
"!apt -y install -qq aria2"
],
"metadata": {
@ -95,7 +95,7 @@
{
"cell_type": "code",
"source": [
"#@title 下载底模\n",
"# @title 下载底模\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",
@ -118,7 +118,7 @@
{
"cell_type": "code",
"source": [
"#@title 下载人声分离模型\n",
"# @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"
],
@ -131,7 +131,7 @@
{
"cell_type": "code",
"source": [
"#@title 下载hubert_base\n",
"# @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": {
@ -143,10 +143,11 @@
{
"cell_type": "code",
"source": [
"#@title 挂载谷歌云盘\n",
"# @title 挂载谷歌云盘\n",
"\n",
"from google.colab import drive\n",
"drive.mount('/content/drive')"
"\n",
"drive.mount(\"/content/drive\")"
],
"metadata": {
"id": "jwu07JgqoFON"
@ -157,10 +158,12 @@
{
"cell_type": "code",
"source": [
"#@title 从谷歌云盘加载打包好的数据集到/content/dataset\n",
"# @title 从谷歌云盘加载打包好的数据集到/content/dataset\n",
"\n",
"#@markdown 数据集位置\n",
"DATASET = \"/content/drive/MyDrive/dataset/lulu20230327_32k.zip\" #@param {type:\"string\"}\n",
"# @markdown 数据集位置\n",
"DATASET = (\n",
" \"/content/drive/MyDrive/dataset/lulu20230327_32k.zip\" # @param {type:\"string\"}\n",
")\n",
"\n",
"!mkdir -p /content/dataset\n",
"!unzip -d /content/dataset -B {DATASET}"
@ -174,7 +177,7 @@
{
"cell_type": "code",
"source": [
"#@title 重命名数据集中的重名文件\n",
"# @title 重命名数据集中的重名文件\n",
"!ls -a /content/dataset/\n",
"!rename 's/(\\w+)\\.(\\w+)~(\\d*)/$1_$3.$2/' /content/dataset/*.*~*"
],
@ -187,7 +190,7 @@
{
"cell_type": "code",
"source": [
"#@title 启动web\n",
"# @title 启动web\n",
"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
"# %load_ext tensorboard\n",
"# %tensorboard --logdir /content/Retrieval-based-Voice-Conversion-WebUI/logs\n",
@ -202,13 +205,13 @@
{
"cell_type": "code",
"source": [
"#@title 手动将训练后的模型文件备份到谷歌云盘\n",
"#@markdown 需要自己查看logs文件夹下模型的文件名手动修改下方命令末尾的文件名\n",
"# @title 手动将训练后的模型文件备份到谷歌云盘\n",
"# @markdown 需要自己查看logs文件夹下模型的文件名手动修改下方命令末尾的文件名\n",
"\n",
"#@markdown 模型名\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown 模型epoch\n",
"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
"# @markdown 模型名\n",
"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
"# @markdown 模型epoch\n",
"MODELEPOCH = 9600 # @param {type:\"integer\"}\n",
"\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth\n",
@ -226,13 +229,13 @@
{
"cell_type": "code",
"source": [
"#@title 从谷歌云盘恢复pth\n",
"#@markdown 需要自己查看logs文件夹下模型的文件名手动修改下方命令末尾的文件名\n",
"# @title 从谷歌云盘恢复pth\n",
"# @markdown 需要自己查看logs文件夹下模型的文件名手动修改下方命令末尾的文件名\n",
"\n",
"#@markdown 模型名\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown 模型epoch\n",
"MODELEPOCH = 7500 #@param {type:\"integer\"}\n",
"# @markdown 模型名\n",
"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
"# @markdown 模型epoch\n",
"MODELEPOCH = 7500 # @param {type:\"integer\"}\n",
"\n",
"!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
"\n",
@ -251,15 +254,15 @@
{
"cell_type": "code",
"source": [
"#@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",
"# @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 {BITRATE} {THREADCOUNT} logs/{MODELNAME} True\n"
"!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True"
],
"metadata": {
"id": "ZKAyuKb9J6dz"
@ -270,17 +273,17 @@
{
"cell_type": "code",
"source": [
"#@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",
"# @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_f0_print.py logs/{MODELNAME} {THREADCOUNT} {ALGO}\n",
"\n",
"!python3 extract_feature_print.py cpu 1 0 0 logs/{MODELNAME}\n"
"!python3 extract_feature_print.py cpu 1 0 0 logs/{MODELNAME}"
],
"metadata": {
"id": "CrxJqzAUKmPJ"
@ -291,25 +294,25 @@
{
"cell_type": "code",
"source": [
"#@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",
"# @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 {BATCHSIZE} -g {USEGPU} -te {MODELEPOCH} -se {EPOCHSAVE} -pg pretrained/f0G{MODELSAMPLE}.pth -pd pretrained/f0D{MODELSAMPLE}.pth -l {ONLYLATEST} -c {CACHEDATA}\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}"
],
"metadata": {
"id": "IMLPLKOaKj58"
@ -320,11 +323,11 @@
{
"cell_type": "code",
"source": [
"#@title 删除其它pth只留选中的慎点仔细看代码\n",
"#@markdown 模型名\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown 选中模型epoch\n",
"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
"# @title 删除其它pth只留选中的慎点仔细看代码\n",
"# @markdown 模型名\n",
"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
"# @markdown 选中模型epoch\n",
"MODELEPOCH = 9600 # @param {type:\"integer\"}\n",
"\n",
"!echo \"备份选中的模型。。。\"\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
@ -335,7 +338,7 @@
"!rm /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*.pth\n",
"\n",
"!echo \"恢复选中的模型。。。\"\n",
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n",
"!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
"\n",
"!echo \"删除完成\"\n",
@ -350,11 +353,11 @@
{
"cell_type": "code",
"source": [
"#@title 清除项目下所有文件,只留选中的模型(慎点,仔细看代码)\n",
"#@markdown 模型名\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown 选中模型epoch\n",
"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
"# @title 清除项目下所有文件,只留选中的模型(慎点,仔细看代码)\n",
"# @markdown 模型名\n",
"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
"# @markdown 选中模型epoch\n",
"MODELEPOCH = 9600 # @param {type:\"integer\"}\n",
"\n",
"!echo \"备份选中的模型。。。\"\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
@ -365,7 +368,7 @@
"!rm -rf /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*\n",
"\n",
"!echo \"恢复选中的模型。。。\"\n",
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n",
"!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
"\n",
"!echo \"删除完成\"\n",

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@ -18,7 +18,7 @@
},
"outputs": [],
"source": [
"#@title 查看显卡\n",
"# @title 查看显卡\n",
"!nvidia-smi"
]
},
@ -30,7 +30,7 @@
},
"outputs": [],
"source": [
"#@title 安装依赖\n",
"# @title 安装依赖\n",
"!apt-get -y install build-essential python3-dev ffmpeg\n",
"!pip3 install --upgrade setuptools wheel\n",
"!pip3 install --upgrade pip\n",
@ -45,13 +45,13 @@
},
"outputs": [],
"source": [
"#@title 克隆仓库\n",
"# @title 克隆仓库\n",
"\n",
"!mkdir Retrieval-based-Voice-Conversion-WebUI\n",
"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
"!git init\n",
"!git remote add origin https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git\n",
"!git fetch origin cfd984812804ddc9247d65b14c82cd32e56c1133 --depth=1 \n",
"!git fetch origin cfd984812804ddc9247d65b14c82cd32e56c1133 --depth=1\n",
"!git reset --hard FETCH_HEAD"
]
},
@ -63,7 +63,7 @@
},
"outputs": [],
"source": [
"#@title 更新仓库(一般无需执行)\n",
"# @title 更新仓库(一般无需执行)\n",
"!git pull"
]
},
@ -75,7 +75,7 @@
},
"outputs": [],
"source": [
"#@title 安装aria2\n",
"# @title 安装aria2\n",
"!apt -y install -qq aria2"
]
},
@ -87,7 +87,7 @@
},
"outputs": [],
"source": [
"#@title 下载底模\n",
"# @title 下载底模\n",
"\n",
"# v1\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",
@ -103,7 +103,7 @@
"!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",
"#v2\n",
"# v2\n",
"# !aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained_v2/D32k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained_v2 -o D32k.pth\n",
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained_v2/D40k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained_v2 -o D40k.pth\n",
"# !aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained_v2/D48k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained_v2 -o D48k.pth\n",
@ -126,7 +126,7 @@
},
"outputs": [],
"source": [
"#@title 下载人声分离模型\n",
"# @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"
]
@ -139,7 +139,7 @@
},
"outputs": [],
"source": [
"#@title 下载hubert_base\n",
"# @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"
]
},
@ -151,10 +151,11 @@
},
"outputs": [],
"source": [
"#@title 挂载谷歌云盘\n",
"# @title 挂载谷歌云盘\n",
"\n",
"from google.colab import drive\n",
"drive.mount('/content/drive')"
"\n",
"drive.mount(\"/content/drive\")"
]
},
{
@ -165,10 +166,12 @@
},
"outputs": [],
"source": [
"#@title 从谷歌云盘加载打包好的数据集到/content/dataset\n",
"# @title 从谷歌云盘加载打包好的数据集到/content/dataset\n",
"\n",
"#@markdown 数据集位置\n",
"DATASET = \"/content/drive/MyDrive/dataset/lulu20230327_32k.zip\" #@param {type:\"string\"}\n",
"# @markdown 数据集位置\n",
"DATASET = (\n",
" \"/content/drive/MyDrive/dataset/lulu20230327_32k.zip\" # @param {type:\"string\"}\n",
")\n",
"\n",
"!mkdir -p /content/dataset\n",
"!unzip -d /content/dataset -B {DATASET}"
@ -182,7 +185,7 @@
},
"outputs": [],
"source": [
"#@title 重命名数据集中的重名文件\n",
"# @title 重命名数据集中的重名文件\n",
"!ls -a /content/dataset/\n",
"!rename 's/(\\w+)\\.(\\w+)~(\\d*)/$1_$3.$2/' /content/dataset/*.*~*"
]
@ -195,7 +198,7 @@
},
"outputs": [],
"source": [
"#@title 启动web\n",
"# @title 启动web\n",
"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
"# %load_ext tensorboard\n",
"# %tensorboard --logdir /content/Retrieval-based-Voice-Conversion-WebUI/logs\n",
@ -210,13 +213,13 @@
},
"outputs": [],
"source": [
"#@title 手动将训练后的模型文件备份到谷歌云盘\n",
"#@markdown 需要自己查看logs文件夹下模型的文件名手动修改下方命令末尾的文件名\n",
"# @title 手动将训练后的模型文件备份到谷歌云盘\n",
"# @markdown 需要自己查看logs文件夹下模型的文件名手动修改下方命令末尾的文件名\n",
"\n",
"#@markdown 模型名\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown 模型epoch\n",
"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
"# @markdown 模型名\n",
"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
"# @markdown 模型epoch\n",
"MODELEPOCH = 9600 # @param {type:\"integer\"}\n",
"\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth\n",
@ -234,13 +237,13 @@
},
"outputs": [],
"source": [
"#@title 从谷歌云盘恢复pth\n",
"#@markdown 需要自己查看logs文件夹下模型的文件名手动修改下方命令末尾的文件名\n",
"# @title 从谷歌云盘恢复pth\n",
"# @markdown 需要自己查看logs文件夹下模型的文件名手动修改下方命令末尾的文件名\n",
"\n",
"#@markdown 模型名\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown 模型epoch\n",
"MODELEPOCH = 7500 #@param {type:\"integer\"}\n",
"# @markdown 模型名\n",
"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
"# @markdown 模型epoch\n",
"MODELEPOCH = 7500 # @param {type:\"integer\"}\n",
"\n",
"!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
"\n",
@ -259,15 +262,15 @@
},
"outputs": [],
"source": [
"#@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",
"# @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 {BITRATE} {THREADCOUNT} logs/{MODELNAME} True\n"
"!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True"
]
},
{
@ -278,17 +281,17 @@
},
"outputs": [],
"source": [
"#@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",
"# @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_f0_print.py logs/{MODELNAME} {THREADCOUNT} {ALGO}\n",
"\n",
"!python3 extract_feature_print.py cpu 1 0 0 logs/{MODELNAME}\n"
"!python3 extract_feature_print.py cpu 1 0 0 logs/{MODELNAME}"
]
},
{
@ -299,25 +302,25 @@
},
"outputs": [],
"source": [
"#@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",
"# @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 {BATCHSIZE} -g {USEGPU} -te {MODELEPOCH} -se {EPOCHSAVE} -pg pretrained/f0G{MODELSAMPLE}.pth -pd pretrained/f0D{MODELSAMPLE}.pth -l {ONLYLATEST} -c {CACHEDATA}\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}"
]
},
{
@ -328,11 +331,11 @@
},
"outputs": [],
"source": [
"#@title 删除其它pth只留选中的慎点仔细看代码\n",
"#@markdown 模型名\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown 选中模型epoch\n",
"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
"# @title 删除其它pth只留选中的慎点仔细看代码\n",
"# @markdown 模型名\n",
"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
"# @markdown 选中模型epoch\n",
"MODELEPOCH = 9600 # @param {type:\"integer\"}\n",
"\n",
"!echo \"备份选中的模型。。。\"\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
@ -343,7 +346,7 @@
"!rm /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*.pth\n",
"\n",
"!echo \"恢复选中的模型。。。\"\n",
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n",
"!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
"\n",
"!echo \"删除完成\"\n",
@ -358,11 +361,11 @@
},
"outputs": [],
"source": [
"#@title 清除项目下所有文件,只留选中的模型(慎点,仔细看代码)\n",
"#@markdown 模型名\n",
"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
"#@markdown 选中模型epoch\n",
"MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
"# @title 清除项目下所有文件,只留选中的模型(慎点,仔细看代码)\n",
"# @markdown 模型名\n",
"MODELNAME = \"lulu\" # @param {type:\"string\"}\n",
"# @markdown 选中模型epoch\n",
"MODELEPOCH = 9600 # @param {type:\"integer\"}\n",
"\n",
"!echo \"备份选中的模型。。。\"\n",
"!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
@ -373,7 +376,7 @@
"!rm -rf /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*\n",
"\n",
"!echo \"恢复选中的模型。。。\"\n",
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
"!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n",
"!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
"\n",
"!echo \"删除完成\"\n",