mirror of
https://github.com/w-okada/voice-changer.git
synced 2025-02-13 13:35:21 +03:00
197 lines
5.5 KiB
Bash
197 lines
5.5 KiB
Bash
#!/bin/bash
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# 参考:https://programwiz.org/2022/03/22/how-to-write-shell-script-for-option-parsing/
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set -eu
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MODE=$1
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PARAMS=${@:2:($#-1)}
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echo "------"
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echo "$MODE"
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echo "PARAMS: $PARAMS"
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echo "VERBOSE: $VERBOSE"
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echo "------"
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# 起動
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if [ "${MODE}" = "SOFT_VC" ] ; then
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cd /voice-changer-internal/voice-change-service
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cp -r /resources/* .
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if [[ -e ./setting.json ]]; then
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cp ./setting.json ../frontend/dist/assets/setting.json
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else
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cp ../frontend/dist/assets/setting_softvc.json ../frontend/dist/assets/setting.json
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fi
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if [ "${VERBOSE}" = "on" ]; then
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echo "SOFT_VCを起動します(verbose)"
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python3 SoftVcServerSIO.py $PARAMS
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else
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echo "SOFT_VCを起動します"
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python3 SoftVcServerSIO.py $PARAMS 2>stderr.txt
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fi
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elif [ "${MODE}" = "MMVC" ] ; then
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cd /voice-changer-internal/voice-change-service
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cp -r /resources/* .
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if [[ -e ./setting.json ]]; then
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cp ./setting.json ../frontend/dist/assets/setting.json
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else
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cp ../frontend/dist/assets/setting_mmvc.json ../frontend/dist/assets/setting.json
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fi
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if [ "${VERBOSE}" = "on" ]; then
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echo "MMVCを起動します(verbose)"
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python3 serverSIO.py $PARAMS
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else
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echo "MMVCを起動します"
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python3 serverSIO.py $PARAMS 2>stderr.txt
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fi
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elif [ "${MODE}" = "MMVC_TRAIN" ] ; then
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python3 create_dataset_jtalk.py -f train_config -s 24000 -m dataset/multi_speaker_correspondence.txt
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# date_tag=`date +%Y%m%d%H%M%S`
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sed -ie 's/80000/8000/' train_ms.py
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sed -ie "s/\"batch_size\": 10/\"batch_size\": $batch_size/" configs/train_config.json
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sed -ie "s/torch.cuda.device_count()/1/" train_ms.py
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python3 -m tensorboard.main --logdir logs --port 6006 --host 0.0.0.0 &
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python3 train_ms.py $PARAMS
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# if ${resume_flag}; then
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# echo "トレーニング再開。バッチサイズ: ${batch_size}。"
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# python3 train_ms.py -c configs/train_config.json -m vc
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# else
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# echo "トレーニング開始。バッチサイズ: ${batch_size}。"
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# python3 train_ms.py -c configs/train_config.json -m vc -fg fine_model/G_180000.pth -fd fine_model/D_180000.pth
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# fi
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fi
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# usage() {
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# echo "
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# usage:
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# For training
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# $0 [-t] [-b batch_size] [-r]
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# -t: flag for training mode
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# -b: batch_size.
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# -r: flag for resuming training.
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# For changing voice
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# $0 [-v] [-c config] [-m model]
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# -v: flag for voice change mode
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# -c: config
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# -m: model name
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# For help
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# $0 [-h]
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# -h: show this help
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# " >&2
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# }
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# warn () {
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# echo "! ! ! $1 ! ! !"
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# exit 1
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# }
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# training_flag=false
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# batch_size=10
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# resume_flag=false
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# voice_change_flag=false
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# config=
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# model=
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# escape_flag=false
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# # オプション解析
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# while getopts tb:rvc:m:hx OPT; do
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# case $OPT in
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# t)
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# training_flag=true
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# ;;
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# b)
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# batch_size="$OPTARG"
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# ;;
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# r)
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# resume_flag=true
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# ;;
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# v)
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# voice_change_flag=true
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# ;;
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# c)
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# config="$OPTARG"
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# ;;
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# m)
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# model="$OPTARG"
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# ;;
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# h | \?)
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# usage && exit 1
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# ;;
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# x)
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# escape_flag=true
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# esac
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# done
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# # ## コマンドライン引数から、オプション引数分を削除
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# # # shift $((OPTIND - 1))
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# # # モード解析
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# # if $training_flag && $voice_change_flag; then
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# # warn "-t（トレーニングモード） と -v（ボイチェンモード）は同時に指定できません。"
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# # exit 1
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# # elif $training_flag; then
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# # echo "■■■ ト レ ー ニ ン グ モ ー ド ■■■"
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# # elif $voice_change_flag; then
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# # echo "■■■ ボ イ チ ェ ン モ ー ド ■■■"
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# # elif $escape_flag; then
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# # /bin/bash
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# # else
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# # warn "-t（トレーニングモード） と -v（ボイチェンモード）のいずれかを指定してください。"
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# # exit 1
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# # fi
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# if $training_flag; then
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# python3 create_dataset_jtalk.py -f train_config -s 24000 -m dataset/multi_speaker_correspondence.txt
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# # date_tag=`date +%Y%m%d%H%M%S`
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# sed -ie 's/80000/8000/' train_ms.py
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# sed -ie "s/\"batch_size\": 10/\"batch_size\": $batch_size/" configs/train_config.json
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# sed -ie "s/torch.cuda.device_count()/1/" train_ms.py
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# python3 -m tensorboard.main --logdir logs --port 6006 --host 0.0.0.0 &
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# if ${resume_flag}; then
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# echo "トレーニング再開。バッチサイズ: ${batch_size}。"
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# python3 train_ms.py -c configs/train_config.json -m vc
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# else
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# echo "トレーニング開始。バッチサイズ: ${batch_size}。"
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# python3 train_ms.py -c configs/train_config.json -m vc -fg fine_model/G_180000.pth -fd fine_model/D_180000.pth
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# fi
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# fi
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# if $voice_change_flag; then
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# if [[ -z "$config" ]]; then
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# warn "コンフィグファイル(-c)を指定してください"
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# fi
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# if [[ -z "$model" ]]; then
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# warn "モデルファイル(-m)を指定してください"
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# fi
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# cd /voice-changer-internal/voice-change-service
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# cp -r /resources/* .
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# if [[ -e ./setting.json ]]; then
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# cp ./setting.json ../frontend/dist/assets/setting.json
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# fi
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# echo "-----------!!"
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# echo $config $model
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# echo $model
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# python3 serverSIO.py -p 8080 -c $config -m $model --https True --httpsSelfSigned True
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# fi
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