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diff --git a/AIMeiSheng/docker_demo/Dockerfile b/AIMeiSheng/docker_demo/Dockerfile
index 3ba096e..dd9f0dd 100644
--- a/AIMeiSheng/docker_demo/Dockerfile
+++ b/AIMeiSheng/docker_demo/Dockerfile
@@ -1,25 +1,25 @@
# 系统版本 CUDA Version 11.8.0
# NAME="CentOS Linux" VERSION="7 (Core)"
# FROM starmaker.tencentcloudcr.com/starmaker/av/av:1.1
# 基础镜像, python3.9,cuda118,centos7，外加ffmpeg
#FROM starmaker.tencentcloudcr.com/starmaker/av/av_base:1.0
FROM av_base_test:1.0
RUN source /etc/profile && sed -i 's|mirrorlist=|#mirrorlist=|g' /etc/yum.repos.d/CentOS-Base.repo && sed -i 's|#baseurl=http://mirror.centos.org|baseurl=http://vault.centos.org|g' /etc/yum.repos.d/CentOS-Base.repo && yum clean all && yum install -y unzip && yum install -y libsndfile && yum install -y libsamplerate libsamplerate-devel
RUN source /etc/profile && pip3 install librosa && pip3 install gradio && pip3 install torch==2.1.2 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
RUN source /etc/profile && pip3 install urllib3==1.26.15 && pip3 install coscmd && coscmd config -a AKIDoQmshFWXGitnQmrfCTYNwEExPaU6RVHm -s F9n9E2ZonWy93f04qMaYFfogHadPt62h -b log-sg-1256122840 -r ap-singapore
RUN source /etc/profile && pip3 install asteroid-filterbanks
RUN source /etc/profile && pip3 install praat-parselmouth==0.4.3
RUN source /etc/profile && pip3 install pyworld
RUN source /etc/profile && pip3 install faiss-cpu
RUN source /etc/profile && pip3 install torchcrepe
RUN source /etc/profile && pip3 install thop
RUN source /etc/profile && pip3 install ffmpeg-python
RUN source /etc/profile && pip3 install fairseq
-RUN source /etc/profile && pip3 install redis
+RUN source /etc/profile && pip3 install redis==4.5.0
WORKDIR /data/code
CMD ["/bin/bash", "-c", "source /etc/profile; export PYTHONPATH=/data/code; cd /data/code/AIMeiSheng/docker_demo; python3 offline_server.py"]
\ No newline at end of file
diff --git a/AIMeiSheng/docker_demo/readme.txt b/AIMeiSheng/docker_demo/readme.txt
index beaf3e6..ac14561 100644
--- a/AIMeiSheng/docker_demo/readme.txt
+++ b/AIMeiSheng/docker_demo/readme.txt
@@ -1,24 +1,24 @@
简介: ai美声功能，其核心是输入一段15-30s的人声作为音色信息，再给定输入音源，将音源转换为指定音色的声音的效果。例如，孙燕姿演唱的东风破
架构方案: http_server.py (1个) 作为服务端，接收外部传来的数据，塞入到redis中，由offline_server.py (多个服务) 进行承接
# 部署要求:
1. http_server.py 部署在sg-prod-songrefresh-gpu-7 上
2. offline_server.py 使用docker 部署在超级节点上，由运维进行控制
# http_server.py 环境要求:
pip install redis
pip install flask
# offline_server.py 环境要求(docker)
cd docker_demo目录下(例子如下):
1. docker build -f Dockerfile -t av_ai_meisheng .
(通过docker images 获取av_ai_meisheng的image_id)
2. docker run --gpus all -it -v /data/rsync/jianli.yang/av_svc:/data/code image_id # 即可启动服务
# 测试代码: docker 环境下, offline_server.py 即可验证
# http测试命令:
-curl http://127.0.0.1:5004/ai_meisheng -H "Content-Type: application/json" -d '{ "record_song_url": "https://av-audit-sync-sg-1256122840.cos.ap-singapore.myqcloud.com/dataset/AIMeiSheng/vocal_test/yinse.m4a", "target_url": "https://av-audit-sync-sg-1256122840.cos.ap-singapore.myqcloud.com/dataset/AIMeiSheng/vocal_test/out.m4a","start": 0,"end": 15000,"vocal_loudness": -14.57,"female_recording_url": "https://av-audit-sync-sg-1256122840.cos.ap-singapore.myqcloud.com/dataset/AIMeiSheng/vocal_test/female.m4a", "male_recording_url": "https://av-audit-sync-sg-1256122840.cos.ap-singapore.myqcloud.com/dataset/AIMeiSheng/vocal_test/male.m4a"}'
+curl http://sg-prod-songrefresh-gpu-7:5000/ai_meisheng -H "Content-Type: application/json" -d '{ "record_song_url": "http://starmaker-in-1256122840.cos.ap-mumbai.myqcloud.com/production/ai_voice/7036874317772028/78d3148926c222585b8079d02fd6aa3e-source.mp4", "target_url": "https://av-audit-sync-sg-1256122840.cos.ap-singapore.myqcloud.com/dataset/AIMeiSheng/vocal_test/out.m4a","start": 0,"end": 15000,"vocal_loudness": -14.57,"female_recording_url": "https://av-audit-sync-sg-1256122840.cos.ap-singapore.myqcloud.com/dataset/AIMeiSheng/vocal_test/female.m4a", "male_recording_url": "https://av-audit-sync-sg-1256122840.cos.ap-singapore.myqcloud.com/dataset/AIMeiSheng/vocal_test/male.m4a"}'
{"gender":"male","schedule":100,"status":0,"target_song_url":"https://av-audit-sync-sg-1256122840.cos.ap-singapore.myqcloud.com/dataset/AIMeiSheng/vocal_test/out.m4a"}
# 资源消耗: 显存占用约2G,但是最高能到9G, 所以，一台机器部署一个即可
注意: 通过common.py 的prod可以控制是否是线上环境
\ No newline at end of file
diff --git a/AIMeiSheng/docker_demo/svc_online.py b/AIMeiSheng/docker_demo/svc_online.py
index db0f255..e910f5f 100644
--- a/AIMeiSheng/docker_demo/svc_online.py
+++ b/AIMeiSheng/docker_demo/svc_online.py
@@ -1,188 +1,188 @@
# -*- coding: UTF-8 -*-
"""
SVC的核心处理逻辑
"""
import os
import time
import socket
import shutil
import hashlib
from AIMeiSheng.meisheng_svc_final import load_model, process_svc_online
from AIMeiSheng.meisheng_env_preparex import meisheng_env_prepare
from AIMeiSheng.voice_classification.online.voice_class_online_fang import VoiceClass, download_volume_balanced
from AIMeiSheng.docker_demo.common import *
import logging
hostname = socket.gethostname()
log_file_name = f"{os.path.dirname(os.path.abspath(__file__))}/av_meisheng_{hostname}.log"
# 设置logger
svc_offline_logger = logging.getLogger("svc_offline")
file_handler = logging.FileHandler(log_file_name)
file_handler.setLevel(logging.INFO)
formatter = logging.Formatter('%(asctime)s %(levelname)s %(message)s', datefmt='%Y-%m-%d %I:%M:%S')
file_handler.setFormatter(formatter)
if gs_prod:
svc_offline_logger.addHandler(file_handler)
if os.path.exists(gs_tmp_dir):
shutil.rmtree(gs_tmp_dir)
os.makedirs(gs_model_dir, exist_ok=True)
os.makedirs(gs_resource_cache_dir, exist_ok=True)
# 预设参数
gs_gender_models_url = "https://av-audit-sync-sg-1256122840.cos.ap-singapore.myqcloud.com/hub/voice_classification/models.zip"
gs_volume_bin_url = "https://av-audit-sync-sg-1256122840.cos.ap-singapore.myqcloud.com/dataset/AIMeiSheng/ebur128_tool"
class GSWorkerAttr:
def __init__(self, input_data):
# 取出输入资源
vocal_url = input_data["record_song_url"]
target_url = input_data["target_url"]
start = input_data["start"] # 单位是ms
end = input_data["end"] # 单位是ms
vocal_loudness = input_data["vocal_loudness"]
female_recording_url = input_data["female_recording_url"]
male_recording_url = input_data["male_recording_url"]
self.distinct_id = hashlib.md5(vocal_url.encode()).hexdigest()
self.tmp_dir = os.path.join(gs_tmp_dir, self.distinct_id)
if os.path.exists(self.tmp_dir):
shutil.rmtree(self.tmp_dir)
os.makedirs(self.tmp_dir)
self.vocal_url = vocal_url
self.target_url = target_url
ext = vocal_url.split(".")[-1]
self.vocal_path = os.path.join(self.tmp_dir, self.distinct_id + f"_in.{ext}")
self.target_wav_path = os.path.join(self.tmp_dir, self.distinct_id + "_out.wav")
self.target_wav_ad_path = os.path.join(self.tmp_dir, self.distinct_id + "_out_ad.wav")
self.target_path = os.path.join(self.tmp_dir, self.distinct_id + "_out.m4a")
self.female_svc_source_url = female_recording_url
self.male_svc_source_url = male_recording_url
ext = female_recording_url.split(".")[-1]
self.female_svc_source_path = os.path.join(gs_resource_cache_dir,
hashlib.md5(female_recording_url.encode()).hexdigest() + "." + ext)
ext = male_recording_url.split(".")[-1]
self.male_svc_source_path = os.path.join(gs_resource_cache_dir,
hashlib.md5(male_recording_url.encode()).hexdigest() + "." + ext)
self.st_tm = start
self.ed_tm = end
self.target_loudness = vocal_loudness
def log_info_name(self):
return f"d_id={self.distinct_id}, vocal_url={self.vocal_url}"
def rm_cache(self):
if os.path.exists(self.tmp_dir):
shutil.rmtree(self.tmp_dir)
def init_gender_model():
"""
下载模型
:return:
"""
dst_model_dir = os.path.join(gs_model_dir, "voice_classification")
if not os.path.exists(dst_model_dir):
dst_zip_path = os.path.join(gs_model_dir, "models.zip")
if not download2disk(gs_gender_models_url, dst_zip_path):
svc_offline_logger.fatal(f"download gender_model err={gs_gender_models_url}")
cmd = f"cd {gs_model_dir}; unzip {dst_zip_path}; mv models voice_classification; rm -f {dst_zip_path}"
os.system(cmd)
if not os.path.exists(dst_model_dir):
svc_offline_logger.fatal(f"unzip {dst_zip_path} err")
music_voice_pure_model = os.path.join(dst_model_dir, "voice_005_rec_v5.pth")
music_voice_no_pure_model = os.path.join(dst_model_dir, "voice_10_v5.pth")
gender_pure_model = os.path.join(dst_model_dir, "gender_8k_ratev5_v6_adam.pth")
gender_no_pure_model = os.path.join(dst_model_dir, "gender_8k_v6_adam.pth")
vc = VoiceClass(music_voice_pure_model, music_voice_no_pure_model, gender_pure_model, gender_no_pure_model)
return vc
def init_svc_model():
meisheng_env_prepare(logging, gs_model_dir)
embed_model, hubert_model = load_model()
return embed_model, hubert_model
def download_volume_adjustment():
"""
下载音量调整工具
:return:
"""
volume_bin_path = os.path.join(gs_model_dir, "ebur128_tool")
if not os.path.exists(volume_bin_path):
if not download2disk(gs_volume_bin_url, volume_bin_path):
svc_offline_logger.fatal(f"download volume_bin err={gs_volume_bin_url}")
os.system(f"chmod +x {volume_bin_path}")
def volume_adjustment(wav_path, target_loudness, out_path):
"""
音量调整
:param wav_path:
:param target_loudness:
:param out_path:
:return:
"""
volume_bin_path = os.path.join(gs_model_dir, "ebur128_tool")
cmd = f"{volume_bin_path} {wav_path} {target_loudness} {out_path}"
os.system(cmd)
class SVCOnline:
def __init__(self):
st = time.time()
self.gender_model = init_gender_model()
self.embed_model, self.hubert_model = init_svc_model()
download_volume_adjustment()
download_volume_balanced()
svc_offline_logger.info(f"svc init finished, sp = {time.time() - st}")
def gender_process(self, worker_attr):
st = time.time()
gender, female_rate, is_pure = self.gender_model.process(worker_attr.vocal_path)
svc_offline_logger.info(
f"{worker_attr.vocal_url}, gender={gender}, female_rate={female_rate}, is_pure={is_pure}, "
f"gender_process sp = {time.time() - st}")
if gender == 0:
gender = 'female'
elif gender == 1:
gender = 'male'
elif female_rate > 0.5:
gender = 'female'
else:
gender = 'male'
svc_offline_logger.info(f"{worker_attr.vocal_url}, modified gender={gender}")
- err = gs_err_code_success
- if female_rate == -1:
- err = gs_err_code_target_silence
- return gender, err
+ # err = gs_err_code_success
+ # if female_rate == -1:
+ # err = gs_err_code_target_silence
+ return gender, gs_err_code_success
def process(self, worker_attr):
gender, err = self.gender_process(worker_attr)
if err != gs_err_code_success:
return gender, err
song_path = worker_attr.female_svc_source_path
if gender == "male":
song_path = worker_attr.male_svc_source_path
params = {'gender': gender, 'tst': worker_attr.st_tm, "tnd": worker_attr.ed_tm, 'delay': 0, 'song_path': None}
st = time.time()
err_code = process_svc_online(song_path, worker_attr.vocal_path, worker_attr.target_wav_path, self.embed_model,
self.hubert_model, params)
svc_offline_logger.info(f"{worker_attr.vocal_url}, err_code={err_code} process svc sp = {time.time() - st}")
return gender, err_code

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