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
This commit is contained in:
parent
55135e0a0e
commit
99996fbe8a
12
.github/workflows/genlocale.yml
vendored
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.github/workflows/genlocale.yml
vendored
@ -1,5 +1,8 @@
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name: genlocale
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on: [ push ]
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on:
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push:
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branches:
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- main
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jobs:
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golangci:
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name: genlocale
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@ -22,3 +25,10 @@ jobs:
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git config --local user.email '41898282+github-actions[bot]@users.noreply.github.com'
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git add --all
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git commit -m "🎨 同步 locale"
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- name: Push changes
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if: ${{ !github.head_ref }}
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uses: ad-m/github-push-action@master
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with:
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github_token: ${{ secrets.GITHUB_TOKEN }}
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branch: main
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@ -58,7 +58,7 @@
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"source": [
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"#@title 克隆仓库\n",
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"\n",
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"!git clone --depth=1 https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI\n",
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"!git clone --depth=1 -b stable https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI\n",
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"%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
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"!mkdir -p pretrained uvr5_weights"
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],
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@ -80,11 +80,22 @@
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"#@title 安装aria2\n",
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"!apt -y install -qq aria2"
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],
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"metadata": {
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"id": "pqE0PrnuRqI2"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"#@title 下载底模\n",
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"!apt -y install -qq aria2\n",
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"!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",
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"!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",
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"!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",
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@ -96,12 +107,7 @@
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"!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",
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"!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",
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"!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",
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"!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",
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"\n",
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"!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",
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"!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",
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"\n",
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"!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"
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"!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"
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],
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"metadata": {
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"id": "UG3XpUwEomUz"
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@ -109,6 +115,31 @@
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"#@title 下载人声分离模型\n",
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"!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",
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"!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"
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],
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"metadata": {
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"id": "HugjmZqZRuiF"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"#@title 下载hubert_base\n",
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"!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"
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],
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"metadata": {
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"id": "2RCaT9FTR0ej"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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@ -223,8 +254,12 @@
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"#@title 手动预处理(不推荐)\n",
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"#@markdown 模型名\n",
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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"#@markdown 采样率\n",
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"BITRATE = 48000 #@param {type:\"integer\"}\n",
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"#@markdown 使用的进程数\n",
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"THREADCOUNT = 8 #@param {type:\"integer\"}\n",
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"\n",
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"!python3 trainset_preprocess_pipeline_print.py /content/dataset 48000 8 logs/{MODELNAME} True\n"
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"!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True\n"
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],
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"metadata": {
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"id": "ZKAyuKb9J6dz"
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@ -238,8 +273,14 @@
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"#@title 手动提取特征(不推荐)\n",
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"#@markdown 模型名\n",
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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"#@markdown 使用的进程数\n",
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"THREADCOUNT = 8 #@param {type:\"integer\"}\n",
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"#@markdown 音高提取算法\n",
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"ALGO = \"harvest\" #@param {type:\"string\"}\n",
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"\n",
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"!python3 extract_feature_print.py 1 0 0 logs/{MODELNAME}\n"
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"!python3 extract_f0_print.py logs/{MODELNAME} {THREADCOUNT} {ALGO}\n",
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"\n",
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"!python3 extract_feature_print.py cpu 1 0 0 logs/{MODELNAME}\n"
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],
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"metadata": {
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"id": "CrxJqzAUKmPJ"
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@ -253,14 +294,22 @@
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"#@title 手动训练(不推荐)\n",
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"#@markdown 模型名\n",
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"MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
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"#@markdown 使用的GPU\n",
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"USEGPU = \"0\" #@param {type:\"string\"}\n",
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"#@markdown 批大小\n",
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"BATCHSIZE = 32 #@param {type:\"integer\"}\n",
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"#@markdown 停止的epoch\n",
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"MODELEPOCH = 3200 #@param {type:\"integer\"}\n",
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"#@markdown 保存epoch间隔\n",
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"EPOCHSAVE = 100 #@param {type:\"integer\"}\n",
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"#@markdown 采样率\n",
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"MODELSAMPLE = \"48k\" #@param {type:\"string\"}\n",
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"#@markdown 是否缓存训练集\n",
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"CACHEDATA = 1 #@param {type:\"integer\"}\n",
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"#@markdown 是否仅保存最新的ckpt文件\n",
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"ONLYLATEST = 0 #@param {type:\"integer\"}\n",
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"\n",
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"!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"
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"!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"
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],
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"metadata": {
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"id": "IMLPLKOaKj58"
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6
gui.py
6
gui.py
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layout=[
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[
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sg.Frame(title=i18n('加载模型'),layout=[
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[sg.Input(default_text='TEMP\\hubert_base.pt',key='hubert_path'),sg.FileBrowse(i18n('Hubert File'))],
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[sg.Input(default_text='TEMP\\hubert_base.pt',key='hubert_path'),sg.FileBrowse(i18n('Hubert模型'))],
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[sg.Input(default_text='TEMP\\atri.pth',key='pth_path'),sg.FileBrowse(i18n('选择.pth文件'))],
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[sg.Input(default_text='TEMP\\added_IVF512_Flat_atri_baseline_src_feat.index',key='index_path'),sg.FileBrowse(i18n('选择.index文件'))],
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[sg.Input(default_text='TEMP\\big_src_feature_atri.npy',key='npy_path'),sg.FileBrowse(i18n('选择.npy文件'))]
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@ -187,10 +187,10 @@ class GUI:
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[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)],
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[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)],
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[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)],
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[sg.Checkbox(i18n('Input Noisereduce'),key='I_noise_reduce'),sg.Checkbox(i18n('Output Noisereduce'),key='O_noise_reduce')]
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[sg.Checkbox(i18n('输入降噪'),key='I_noise_reduce'),sg.Checkbox(i18n('输出降噪'),key='O_noise_reduce')]
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],title=i18n("性能设置"))
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],
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[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')]
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[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')]
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]
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self.window=sg.Window("RVC - GUI",layout=layout)
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@ -76,6 +76,7 @@
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"点击查看交流、问题反馈群号": "Click to view the communication and problem feedback group number",
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"xxxxx": "xxxxx",
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"加载模型": "加载模型",
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"Hubert模型": "Hubert File",
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"选择.pth文件": "选择.pth文件",
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"选择.index文件": "选择.index文件",
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"选择.npy文件": "选择.npy文件",
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@ -88,8 +89,10 @@
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"采样长度": "采样长度",
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"淡入淡出长度": "淡入淡出长度",
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"额外推理时长": "额外推理时长",
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"输出降噪/Output Noisereduce": "输出降噪/Output Noisereduce",
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"输入降噪": "Input Noisereduce",
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"输出降噪": "Output Noisereduce",
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"性能设置": "性能设置",
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"开始音频转换": "开始音频转换",
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"停止音频转换": "停止音频转换"
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"停止音频转换": "停止音频转换",
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"推理时间(ms):": "Infer Time(ms):"
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}
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@ -76,6 +76,7 @@
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"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",
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"xxxxx": "xxxxx",
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"加载模型": "モデルをロードする",
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"Hubert模型": "Hubert模型",
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"选择.pth文件": ".pthファイルを選択する",
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"选择.index文件": ".indexファイルを選択する",
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"选择.npy文件": ".npyファイルを選択する",
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@ -88,8 +89,10 @@
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"采样长度": "サンプル長",
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"淡入淡出长度": "フェードイン/フェードアウト長",
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"额外推理时长": "追加推論時間",
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"输出降噪/Output Noisereduce": "出力ノイズリダクション",
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"输入降噪": "输入降噪",
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"输出降噪": "输出降噪",
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"性能设置": "パフォーマンス設定",
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"开始音频转换": "音声変換を開始する",
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"停止音频转换": "音声変換を停止する"
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"停止音频转换": "音声変換を停止する",
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"推理时间(ms):": "推理时间(ms):"
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}
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@ -76,7 +76,7 @@
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"点击查看交流、问题反馈群号": "点击查看交流、问题反馈群号",
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"xxxxx": "xxxxx",
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"加载模型": "加载模型",
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"Hubert File":"Hubert模型",
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"Hubert模型": "Hubert模型",
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"选择.pth文件": "选择.pth文件",
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"选择.index文件": "选择.index文件",
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"选择.npy文件": "选择.npy文件",
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@ -89,10 +89,10 @@
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"采样长度": "采样长度",
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"淡入淡出长度": "淡入淡出长度",
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"额外推理时长": "额外推理时长",
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"Input Noisereduce":"输入降噪",
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"Output Noisereduce": "输出降噪",
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"输入降噪": "输入降噪",
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"输出降噪": "输出降噪",
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"性能设置": "性能设置",
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"开始音频转换": "开始音频转换",
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"停止音频转换": "停止音频转换",
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"Infer Time(ms):":"推理时间(ms):"
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"推理时间(ms):": "推理时间(ms):"
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}
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Loading…
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Block a user