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BS一键全流程-混音.sh

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+#!/bin/bash
+
+# Change directory
+cd /mnt/workspace/uvr5/MDX23v24
+
+# 设置 HF_ENDPOINT 环境变量
+export HF_ENDPOINT="https://hf-mirror.com"
+
+input_folder="/mnt/workspace/input"
+output_folder="/mnt/workspace/uvr5/output"
+
+for file_path in $(ls -1 $input_folder); do
+    filename=$(basename "$file_path" | cut -d. -f1)
+    # 调用 inference.py，并传入环境变量 HF_ENDPOINT
+    # bigshifts 代表精度 3~11之间选择，但并不是越大越好
+    python inference.py --large_gpu \
+    --vocals_only \
+    --use_BSRoformer \
+    --use_InstVoc \
+    --BSRoformer_model ep_317_1297 \
+    --weight_BSRoformer 10 \
+    --weight_InstVoc 1 \
+    --BigShifts 6 \
+    --filter_vocals \
+    --input_audio "$input_folder/$file_path" \
+    --output_folder "$output_folder"
+done
+
+# Move and convert files
+source_folder="/mnt/workspace/uvr5/output"
+target_folder="/mnt/workspace/uvr5/伴奏"
+for file_name in $(ls $source_folder)
+do
+    if [[ $file_name == *"_instrum.wav" ]]
+    then
+        file_path="$source_folder/$file_name"
+        target_path="$target_folder/$file_name"
+        mv $file_path $target_path
+        mp3_file_path="${target_path%.wav}.mp3"
+        ffmpeg -i $target_path -vn -ar 44100 -ac 2 -b:a 320k -loglevel panic $mp3_file_path
+        rm $target_path
+    fi
+done
+
+# Change directory
+cd /mnt/workspace/uvr5
+
+# Run uvr.py
+python uvr.py
+
+# Move and convert files
+source_folder="/mnt/workspace/uvr5/echo"
+target_folder="/mnt/workspace/uvr5/伴奏"
+for file_name in $(ls $source_folder)
+do
+    if [[ $file_name == *"和声_"* && $file_name == *.wav ]]
+    then
+        file_path="$source_folder/$file_name"
+        target_path="$target_folder/$file_name"
+        mv $file_path $target_path
+        mp3_file_path="${target_path%.wav}.mp3"
+        ffmpeg -i $target_path -vn -ar 44100 -ac 2 -b:a 320k -loglevel panic $mp3_file_path
+        rm $target_path
+    fi
+done
+
+# Run deecho.py
+python deecho.py -d cuda -model_path /mnt/workspace/uvr5/uvr5_weights/VR-DeEchoAggressive.pth -audio_path /mnt/workspace/uvr5/echo/ -is_half False -save_path /mnt/workspace/uvr5/人声/ -model_params 4band_v3
+
+# Convert files to mp3 and remove wav files
+input_folder='/mnt/workspace/uvr5/人声/'
+output_folder='/mnt/workspace/uvr5/人声/'
+for file in $(ls $input_folder)
+do
+    if [[ $file == *"人声_"* && $file == *.wav ]]
+    then
+        input_path="$input_folder/$file"
+        output_file="${file%.wav}.mp3"
+        output_path="$output_folder/$output_file"
+        ffmpeg -i $input_path -vn -ar 44100 -ac 2 -b:a 320k -loglevel panic $output_path
+    fi
+done
+
+# Remove wav files
+for file in $(ls $input_folder)
+do
+    if [[ $file == *.wav ]]
+    then
+        file_path="$input_folder/$file"
+        rm $file_path
+    fi
+done
+
+# 重命名人声文件
+for file in $(ls $output_folder)
+do
+    if [[ $file == 人声_*_vocals.mp3 ]]
+    then
+        original_file="$output_folder/$file"
+        
+        # Extract X from the original filename
+        X="${file#人声_}"  # Remove "人声_" prefix
+        X="${X%_vocals.mp3}"  # Remove "_vocals.mp3" suffix
+        
+        # New filename
+        new_filename="${X}-人声.mp3"
+        new_file="$output_folder/$new_filename"
+        
+        # Rename the file
+        mv "$original_file" "$new_file"
+    fi
+done
+
+# 将伴奏内的和声和伴奏混成一个文件
+python3 <<EOF
+import os
+from pydub import AudioSegment
+
+# 指定音频文件夹路径
+audio_folder = "/mnt/workspace/uvr5/伴奏"
+# 获取文件夹内所有的音频文件名
+audio_files = os.listdir(audio_folder)
+# 遍历每个音频文件
+for vocals_filename in audio_files:
+    if vocals_filename.startswith("和声_") and vocals_filename.endswith("_vocals.mp3"):
+        # 构建对应的伴奏文件名
+        instrumental_filename = vocals_filename.replace("和声_", "").replace("_vocals.mp3", "_instrum.mp3")
+        instrumental_path = os.path.join(audio_folder, instrumental_filename)        
+        # 检查伴奏文件是否存在
+        if os.path.isfile(instrumental_path):
+            # 使用pydub打开音频文件
+            instrumental = AudioSegment.from_file(instrumental_path)
+            vocals_path = os.path.join(audio_folder, vocals_filename)
+            vocals = AudioSegment.from_file(vocals_path)
+            # 确保两个音频文件的长度相同，进行裁剪或填充操作
+            if len(instrumental) != len(vocals):
+                if len(instrumental) > len(vocals):
+                    vocals = vocals + AudioSegment.silent(duration=len(instrumental) - len(vocals))
+                else:
+                    instrumental = instrumental + AudioSegment.silent(duration=len(vocals) - len(instrumental))
+            # 混合音频文件
+            mixed_audio = instrumental.overlay(vocals)
+            # 构建输出文件名，例如 "XX-伴奏.mp3"
+            output_filename = vocals_filename.replace("和声_", "").replace("_vocals.mp3", "-伴奏.mp3")
+            output_path = os.path.join(audio_folder, output_filename)
+            # 保存混音后的文件
+            mixed_audio.export(output_path, format="mp3")
+            # 删除原始的和声和伴奏文件
+            os.remove(vocals_path)
+            os.remove(instrumental_path)
+            print(f"混音完成，保存在 {output_path}，原始文件已删除")
+        else:
+            print(f"找不到对应的伴奏文件 {instrumental_filename}")
+EOF
+
+echo -e "\033[32m> 已将所有input文件夹内的音频完成分离，人声在 /mnt/workspace/uvr5/人声/ 文件夹内，伴奏及和声在 /mnt/workspace/uvr5/伴奏/ 文件夹内。 \033[0m"

BS一键全流程.sh

@@ -0,0 +1,115 @@
+#!/bin/bash
+
+# Change directory
+cd /mnt/workspace/uvr5/MDX23v24
+
+# 设置 HF_ENDPOINT 环境变量
+export HF_ENDPOINT="https://hf-mirror.com"
+
+input_folder="/mnt/workspace/input"
+output_folder="/mnt/workspace/uvr5/output"
+
+for file_path in $(ls -1 $input_folder); do
+    filename=$(basename "$file_path" | cut -d. -f1)
+    # 调用 inference.py，并传入环境变量 HF_ENDPOINT
+    # bigshifts 代表精度 3~11之间选择，但并不是越大越好
+    python inference.py --large_gpu \
+    --vocals_only \
+    --use_BSRoformer \
+    --use_InstVoc \
+    --BSRoformer_model ep_317_1297 \
+    --weight_BSRoformer 10 \
+    --weight_InstVoc 1 \
+    --BigShifts 6 \
+    --filter_vocals \
+    --input_audio "$input_folder/$file_path" \
+    --output_folder "$output_folder"
+done
+
+# Move and convert files
+source_folder="/mnt/workspace/uvr5/output"
+target_folder="/mnt/workspace/uvr5/伴奏"
+for file_name in $(ls $source_folder)
+do
+    if [[ $file_name == *"_instrum.wav" ]]
+    then
+        file_path="$source_folder/$file_name"
+        target_path="$target_folder/$file_name"
+        mv $file_path $target_path
+        mp3_file_path="${target_path%.wav}.mp3"
+        ffmpeg -i $target_path -vn -ar 44100 -ac 2 -b:a 320k -loglevel panic $mp3_file_path
+        rm $target_path
+    fi
+done
+
+# Change directory
+cd /mnt/workspace/uvr5
+
+# Run uvr.py
+python uvr.py
+
+# Move and convert files
+source_folder="/mnt/workspace/uvr5/echo"
+target_folder="/mnt/workspace/uvr5/伴奏"
+for file_name in $(ls $source_folder)
+do
+    if [[ $file_name == *"和声_"* && $file_name == *.wav ]]
+    then
+        file_path="$source_folder/$file_name"
+        target_path="$target_folder/$file_name"
+        mv $file_path $target_path
+        mp3_file_path="${target_path%.wav}.mp3"
+        ffmpeg -i $target_path -vn -ar 44100 -ac 2 -b:a 320k -loglevel panic $mp3_file_path
+        rm $target_path
+    fi
+done
+
+# Run deecho.py
+python deecho.py -d cuda -model_path /mnt/workspace/uvr5/uvr5_weights/VR-DeEchoAggressive.pth -audio_path /mnt/workspace/uvr5/echo/ -is_half False -save_path /mnt/workspace/uvr5/人声/ -model_params 4band_v3
+
+# Convert files to mp3 and remove wav files
+input_folder='/mnt/workspace/uvr5/人声/'
+output_folder='/mnt/workspace/uvr5/人声/'
+for file in $(ls $input_folder)
+do
+    if [[ $file == *"人声_"* && $file == *.wav ]]
+    then
+        input_path="$input_folder/$file"
+        output_file="${file%.wav}.mp3"
+        output_path="$output_folder/$output_file"
+        ffmpeg -i $input_path -vn -ar 44100 -ac 2 -b:a 320k -loglevel panic $output_path
+    fi
+done
+
+# Remove wav files
+for file in $(ls $input_folder)
+do
+    if [[ $file == *.wav ]]
+    then
+        file_path="$input_folder/$file"
+        rm $file_path
+    fi
+done
+
+# 重命名人声文件
+for file in $(ls $output_folder)
+do
+    if [[ $file == 人声_*_vocals.mp3 ]]
+    then
+        original_file="$output_folder/$file"
+        
+        # Extract X from the original filename
+        X="${file#人声_}"  # Remove "人声_" prefix
+        X="${X%_vocals.mp3}"  # Remove "_vocals.mp3" suffix
+        
+        # New filename
+        new_filename="${X}-人声.mp3"
+        new_file="$output_folder/$new_filename"
+        
+        # Rename the file
+        mv "$original_file" "$new_file"
+    fi
+done
+
+
+echo -e "\033[32m> 已将所有input文件夹内的音频完成分离，人声在 /mnt/workspace/uvr5/人声/ 文件夹内，伴奏及和声在 /mnt/workspace/uvr5/伴奏/ 文件夹内。 \033[0m"

仅去和声混响.sh

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+#!/bin/bash
+
+# Change directory
+cd /mnt/workspace/uvr5
+
+# Run 5_HP-Karaoke-UVR.py
+python 5_HP-Karaoke-UVR.py
+
+# Convert mp3 files to wav
+source_folder="/mnt/workspace/uvr5/echo"
+for mp3_file in $(ls $source_folder/*.mp3)
+do
+    wav_file="${mp3_file%.mp3}.wav"
+    mv $mp3_file $wav_file
+done
+
+# Move and convert files
+target_folder="/mnt/workspace/uvr5/伴奏"
+for file_name in $(ls $source_folder)
+do
+    if [[ $file_name == *"和声_"* && $file_name == *.wav ]]
+    then
+        file_path="$source_folder/$file_name"
+        target_path="$target_folder/$file_name"
+        mv $file_path $target_path
+        mp3_file_path="${target_path%.wav}.mp3"
+        ffmpeg -i $target_path -vn -ar 44100 -ac 2 -b:a 192k -loglevel panic $mp3_file_path
+        rm $target_path
+    fi
+done
+
+# Run deecho.py
+python deecho.py -d cuda -model_path /mnt/workspace/uvr5/uvr5_weights/VR-DeEchoAggressive.pth -audio_path /mnt/workspace/uvr5/echo/ -is_half False -save_path /mnt/workspace/uvr5/人声/ -model_params 4band_v3
+
+# Convert files to mp3 and remove wav files
+input_folder='/mnt/workspace/uvr5/人声/'
+output_folder='/mnt/workspace/uvr5/人声/'
+for file in $(ls $input_folder)
+do
+    if [[ $file == *"人声_"* && $file == *.wav ]]
+    then
+        input_path="$input_folder/$file"
+        output_file="${file%.wav}.mp3"
+        output_path="$output_folder/$output_file"
+        ffmpeg -i $input_path -vn -ar 44100 -ac 2 -b:a 192k -loglevel panic $output_path
+    fi
+done
+
+# Remove wav files
+for file in $(ls $input_folder)
+do
+    if [[ $file == *.wav ]]
+    then
+        file_path="$input_folder/$file"
+        rm $file_path
+    fi
+done
+echo -e "\033[32m> 已将所有input文件夹内的音频去除和声及混响，人声在 /mnt/workspace/uvr5/人声/ 文件夹内，非人声在 /mnt/workspace/uvr5/伴奏/ 文件夹内。 \033[0m"

全流程一键版-混音.sh

@@ -0,0 +1,145 @@
+#!/bin/bash
+
+# Change directory
+cd /mnt/workspace/uvr5/MVSEP-MDX23-Colab_v2
+
+# Set input and output folders
+input_folder='/mnt/workspace/input/'
+output_folder='/mnt/workspace/uvr5/output'
+
+# Process each file in the input folder
+for file_path in $(ls -v $input_folder/*)
+do
+    filename=$(basename $file_path)
+    filename="${filename%.*}"
+    python inference.py --large_gpu --weight_MDXv3 8 --weight_VOCFT 3 --weight_HQ3 2 --chunk_size 1999999 --input_audio "$file_path" --overlap_demucs 0.6 --overlap_MDX 0 --overlap_MDXv3 8 --output_format 'PCM_16' --bigshifts 6 --output_folder "$output_folder" --vocals_only true
+done
+
+# Move and convert files
+source_folder="/mnt/workspace/uvr5/output"
+target_folder="/mnt/workspace/uvr5/伴奏"
+for file_name in $(ls $source_folder)
+do
+    if [[ $file_name == *"_instrum.wav" ]]
+    then
+        file_path="$source_folder/$file_name"
+        target_path="$target_folder/$file_name"
+        mv $file_path $target_path
+        mp3_file_path="${target_path%.wav}.mp3"
+        ffmpeg -i $target_path -vn -ar 44100 -ac 2 -b:a 192k -loglevel panic $mp3_file_path
+        rm $target_path
+    fi
+done
+
+# Change directory
+cd /mnt/workspace/uvr5
+
+# Run uvr.py
+python uvr.py
+
+# Move and convert files
+source_folder="/mnt/workspace/uvr5/echo"
+target_folder="/mnt/workspace/uvr5/伴奏"
+for file_name in $(ls $source_folder)
+do
+    if [[ $file_name == *"和声_"* && $file_name == *.wav ]]
+    then
+        file_path="$source_folder/$file_name"
+        target_path="$target_folder/$file_name"
+        mv $file_path $target_path
+        mp3_file_path="${target_path%.wav}.mp3"
+        ffmpeg -i $target_path -vn -ar 44100 -ac 2 -b:a 192k -loglevel panic $mp3_file_path
+        rm $target_path
+    fi
+done
+
+# Run deecho.py
+python deecho.py -d cuda -model_path /mnt/workspace/uvr5/uvr5_weights/VR-DeEchoAggressive.pth -audio_path /mnt/workspace/uvr5/echo/ -is_half False -save_path /mnt/workspace/uvr5/人声/ -model_params 4band_v3
+
+# Convert files to mp3 and remove wav files
+input_folder='/mnt/workspace/uvr5/人声/'
+output_folder='/mnt/workspace/uvr5/人声/'
+for file in $(ls $input_folder)
+do
+    if [[ $file == *"人声_"* && $file == *.wav ]]
+    then
+        input_path="$input_folder/$file"
+        output_file="${file%.wav}.mp3"
+        output_path="$output_folder/$output_file"
+        ffmpeg -i $input_path -vn -ar 44100 -ac 2 -b:a 192k -loglevel panic $output_path
+    fi
+done
+
+# Remove wav files
+for file in $(ls $input_folder)
+do
+    if [[ $file == *.wav ]]
+    then
+        file_path="$input_folder/$file"
+        rm $file_path
+    fi
+done
+# 重命名人声文件
+for file in $(ls $output_folder)
+do
+    if [[ $file == 人声_*_vocals.mp3 ]]
+    then
+        original_file="$output_folder/$file"
+        
+        # Extract X from the original filename
+        X="${file#人声_}"  # Remove "人声_" prefix
+        X="${X%_vocals.mp3}"  # Remove "_vocals.mp3" suffix
+        
+        # New filename
+        new_filename="${X}-人声.mp3"
+        new_file="$output_folder/$new_filename"
+        
+        # Rename the file
+        mv "$original_file" "$new_file"
+    fi
+done
+
+# 将伴奏内的和声和伴奏混成一个文件
+python3 <<EOF
+import os
+from pydub import AudioSegment
+
+# 指定音频文件夹路径
+audio_folder = "/mnt/workspace/uvr5/伴奏"
+# 获取文件夹内所有的音频文件名
+audio_files = os.listdir(audio_folder)
+# 遍历每个音频文件
+for vocals_filename in audio_files:
+    if vocals_filename.startswith("和声_") and vocals_filename.endswith("_vocals.mp3"):
+        # 构建对应的伴奏文件名
+        instrumental_filename = vocals_filename.replace("和声_", "").replace("_vocals.mp3", "_instrum.mp3")
+        instrumental_path = os.path.join(audio_folder, instrumental_filename)        
+        # 检查伴奏文件是否存在
+        if os.path.isfile(instrumental_path):
+            # 使用pydub打开音频文件
+            instrumental = AudioSegment.from_file(instrumental_path)
+            vocals_path = os.path.join(audio_folder, vocals_filename)
+            vocals = AudioSegment.from_file(vocals_path)
+            # 确保两个音频文件的长度相同，进行裁剪或填充操作
+            if len(instrumental) != len(vocals):
+                if len(instrumental) > len(vocals):
+                    vocals = vocals + AudioSegment.silent(duration=len(instrumental) - len(vocals))
+                else:
+                    instrumental = instrumental + AudioSegment.silent(duration=len(vocals) - len(instrumental))
+            # 混合音频文件
+            mixed_audio = instrumental.overlay(vocals)
+            # 构建输出文件名，例如 "XX-伴奏.mp3"
+            output_filename = vocals_filename.replace("和声_", "").replace("_vocals.mp3", "-伴奏.mp3")
+            output_path = os.path.join(audio_folder, output_filename)
+            # 保存混音后的文件
+            mixed_audio.export(output_path, format="mp3")
+            # 删除原��的和声和伴奏文件
+            os.remove(vocals_path)
+            os.remove(instrumental_path)
+            print(f"混音完成，保存在 {output_path}，原始文件已删除")
+        else:
+            print(f"找不到对应的伴奏文件 {instrumental_filename}")
+EOF
+
+echo -e "\033[32m> 已将所有input文件夹内的音频完成分离，人声在 /mnt/workspace/uvr5/人声/ 文件夹内，伴奏及和声在 /mnt/workspace/uvr5/伴奏/ 文件夹内。 \033[0m"
+

全流程一键版.sh

@@ -0,0 +1,104 @@
+#!/bin/bash
+
+# Change directory
+cd /mnt/workspace/uvr5/MVSEP-MDX23-Colab_v2
+
+# Set input and output folders
+input_folder='/mnt/workspace/input/'
+output_folder='/mnt/workspace/uvr5/output'
+
+# Process each file in the input folder
+for file_path in $(ls -v $input_folder/*)
+do
+    filename=$(basename $file_path)
+    filename="${filename%.*}"
+    python inference.py --large_gpu --weight_MDXv3 8 --weight_VOCFT 3 --weight_HQ3 2 --chunk_size 1999999 --input_audio "$file_path" --overlap_demucs 0.6 --overlap_MDX 0 --overlap_MDXv3 8 --output_format 'PCM_16' --bigshifts 6 --output_folder "$output_folder" --vocals_only true
+done
+
+# Move and convert files
+source_folder="/mnt/workspace/uvr5/output"
+target_folder="/mnt/workspace/uvr5/伴奏"
+for file_name in $(ls $source_folder)
+do
+    if [[ $file_name == *"_instrum.wav" ]]
+    then
+        file_path="$source_folder/$file_name"
+        target_path="$target_folder/$file_name"
+        mv $file_path $target_path
+        mp3_file_path="${target_path%.wav}.mp3"
+        ffmpeg -i $target_path -vn -ar 44100 -ac 2 -b:a 192k -loglevel panic $mp3_file_path
+        rm $target_path
+    fi
+done
+
+# Change directory
+cd /mnt/workspace/uvr5
+
+# Run uvr.py
+python uvr.py
+
+# Move and convert files
+source_folder="/mnt/workspace/uvr5/echo"
+target_folder="/mnt/workspace/uvr5/伴奏"
+for file_name in $(ls $source_folder)
+do
+    if [[ $file_name == *"和声_"* && $file_name == *.wav ]]
+    then
+        file_path="$source_folder/$file_name"
+        target_path="$target_folder/$file_name"
+        mv $file_path $target_path
+        mp3_file_path="${target_path%.wav}.mp3"
+        ffmpeg -i $target_path -vn -ar 44100 -ac 2 -b:a 192k -loglevel panic $mp3_file_path
+        rm $target_path
+    fi
+done
+
+# Run deecho.py
+python deecho.py -d cuda -model_path /mnt/workspace/uvr5/uvr5_weights/VR-DeEchoAggressive.pth -audio_path /mnt/workspace/uvr5/echo/ -is_half False -save_path /mnt/workspace/uvr5/人声/ -model_params 4band_v3
+
+# Convert files to mp3 and remove wav files
+input_folder='/mnt/workspace/uvr5/人声/'
+output_folder='/mnt/workspace/uvr5/人声/'
+for file in $(ls $input_folder)
+do
+    if [[ $file == *"人声_"* && $file == *.wav ]]
+    then
+        input_path="$input_folder/$file"
+        output_file="${file%.wav}.mp3"
+        output_path="$output_folder/$output_file"
+        ffmpeg -i $input_path -vn -ar 44100 -ac 2 -b:a 192k -loglevel panic $output_path
+    fi
+done
+
+# Remove wav files
+for file in $(ls $input_folder)
+do
+    if [[ $file == *.wav ]]
+    then
+        file_path="$input_folder/$file"
+        rm $file_path
+    fi
+done
+# 重命名人声文件
+for file in $(ls $output_folder)
+do
+    if [[ $file == 人声_*_vocals.mp3 ]]
+    then
+        original_file="$output_folder/$file"
+        
+        # Extract X from the original filename
+        X="${file#人声_}"  # Remove "人声_" prefix
+        X="${X%_vocals.mp3}"  # Remove "_vocals.mp3" suffix
+        
+        # New filename
+        new_filename="${X}-人声.mp3"
+        new_file="$output_folder/$new_filename"
+        
+        # Rename the file
+        mv "$original_file" "$new_file"
+    fi
+done
+
+
+echo -e "\033[32m> 已将所有input文件夹内的音频完成分离，人声在 /mnt/workspace/uvr5/人声/ 文件夹内，伴奏及和声在 /mnt/workspace/uvr5/伴奏/ 文件夹内。 \033[0m"
+