feat: init

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.so filter=lfs diff=lfs merge=lfs -text
+*.jpg filter=lfs diff=lfs merge=lfs -text

code-5090/5090_依赖.txt

@@ -0,0 +1,112 @@
+albucore==0.0.23
+albumentations==2.0.5
+annotated-types==0.7.0
+audioread==3.0.1
+Brotli==1.0.9
+certifi==2025.1.31
+cffi==1.17.1
+charset-normalizer==3.3.2
+coloredlogs==15.0.1
+#contourpy==1.3.1
+cupy-cuda12x==13.4.1
+cycler==0.12.1
+Cython==3.0.12
+decorator==5.2.1
+dominate==2.9.1
+easydict==1.13
+einops==0.8.1
+fastrlock==0.8.3
+ffmpeg==1.4
+filelock==3.13.1
+flatbuffers==25.2.10
+fonttools==4.57.0
+fsspec==2025.3.2
+gmpy2==2.2.1
+huggingface-hub==0.30.2
+humanfriendly==10.0
+idna==3.7
+imageio==2.37.0
+imageio-ffmpeg==0.5.1
+insightface==0.7.3
+Jinja2==3.1.6
+joblib==1.4.2
+kiwisolver==1.4.7
+kornia==0.8.0
+kornia_rs==0.1.8
+lazy_loader==0.4
+librosa==0.11.0
+llvmlite==0.43.0
+lmdb==1.6.2
+MarkupSafe==3.0.2
+matplotlib==3.9.4
+mkl-fft==1.3.1
+mkl-random==1.2.2
+mkl-service==2.4.0
+mpmath==1.3.0
+msgpack==1.1.0
+#networkx==3.2.1
+#numba==0.61.2
+#numpy==2.2.4
+nvidia-cublas-cu12==12.8.3.14
+nvidia-cuda-cupti-cu12==12.8.57
+nvidia-cuda-nvrtc-cu12==12.8.61
+nvidia-cuda-runtime-cu12==12.8.57
+nvidia-cudnn-cu12==9.8.0.87
+nvidia-cufft-cu12==11.3.3.41
+nvidia-cufile-cu12==1.13.0.11
+nvidia-curand-cu12==10.3.9.55
+nvidia-cusolver-cu12==11.7.2.55
+nvidia-cusparse-cu12==12.5.7.53
+nvidia-cusparselt-cu12==0.6.3
+nvidia-nccl-cu12==2.26.2
+nvidia-nvjitlink-cu12==12.8.61
+nvidia-nvtx-cu12==12.8.55
+onnx==1.17.0
+#onnxruntime-gpu==1.21.0
+opencv-python==4.11.0.86
+opencv-python-headless==4.11.0.86
+packaging==24.2
+pillow==11.1.0
+pip==25.0
+platformdirs==4.3.7
+pooch==1.8.2
+prettytable==3.16.0
+protobuf==6.30.2
+pycparser==2.22
+pydantic==2.11.3
+pydantic_core==2.33.1
+pyparsing==3.2.3
+PySocks==1.7.1
+python-dateutil==2.9.0.post0
+#pytorch-triton==3.3.0+git96316ce5
+PyYAML==6.0.2
+regex==2024.11.6
+requests==2.32.3
+safetensors==0.5.3
+#scikit-image==0.25.2
+scikit-learn==1.6.1
+#scipy==1.15.2
+setuptools==75.8.0
+simsimd==6.2.1
+six==1.16.0
+soundfile==0.13.1
+soxr==0.5.0.post1
+stringzilla==3.12.3
+sympy==1.13.3
+threadpoolctl==3.6.0
+#tifffile==2025.3.30
+timm==1.0.15
+tokenizers==0.20.3
+#torch==2.8.0.dev20250408+cu128
+#torchaudio==2.6.0.dev20250408+cu128
+#torchvision==0.22.0.dev20250408+cu128
+tqdm==4.67.1
+transformers==4.46.2
+triton==3.1.0
+typeguard==2.13.3
+typing_extensions==4.12.2
+typing-inspection==0.4.0
+urllib3==2.3.0
+wcwidth==0.2.13
+wheel==0.45.1
+xformers==0.0.30.dev1005

code-5090/Dockerfile

@@ -0,0 +1,14 @@
+FROM nvidia/cuda:11.6.1-base-ubuntu20.04
+
+# 还需要一个chk.tar.gz
+WORKDIR /code
+COPY . /code
+
+
+RUN pip install --upgrade -r /code/requirements.txt  -i  https://pypi.tuna.tsinghua.edu.cn/simple/ --timeout 600
+
+# 6、运行服务
+#CMD ["uvicorn", "http_api2:app", "--host", "0.0.0.0", "--port", "80"]
+EXPOSE  22
+EXPOSE  80
+CMD /usr/sbin/sshd -D

code-5090/README.md

@@ -0,0 +1,15 @@
+## 表情驱动
+
+#1.入口
+main.py
+
+# 安装1.虚拟环境
+conda env create -f requirements.yaml
+# 安装2.nvdiffrast,进入项目根目录
+cd Deep3DFaceRecon_pytorch/nvdiffrast_bk
+
+python setup.py install
+# 测试流程
+python main.py
+# 输出目录
+test_data/output

code-5090/README_with_dev.md

@@ -0,0 +1,47 @@
+##1.提交镜像并push到服务器上
+### sdk
+<pre><code>
+原始镜像： face2face_train:0.0.1_origin_sdk（12.1G）
+镜像保存为tar文件： docker save -o face2faceweb.tar bedcce862ec3
+从当前容器生成镜像：
+docker commit -m="facesdk init" -a="jc" <containerId> face2facesdk:<version>
+将新镜像推到docker服务器上：
+# 1. 先把本地镜像名称和tag改成公司仓库的名称
+docker tag face2facesdk:<version> base.image.docker:5000/python/face2face_train:<version>_sdk
+# 2. 推送修改后的镜像到公司仓库
+docker push base.image.docker:5000/python/face2face_train:<version>_sdk
+
+base.image.docker:5000/python/face2face_train:0.0.3_sdk  13.1G
+python app_local.py
+</code></pre>
+### sdk slim
+从源镜像到slim:
+1.pip install Cython -i  https://pypi.tuna.tsinghua.edu.cn/simple
+2.执行package: https://digital-public.obs.cn-east-3.myhuaweicloud.com/vpp/1batchSynth/2/packaging_script.py
+3. 删除build下面的临时so包
+<pre><code
+docker commit -m="facesdk_slim init" -a="jc" <containerId> face2facesdk_slim:<version>
+docker tag face2facesdk_slim:<version> base.image.docker:5000/python/face2face_train:<version>_sdk_slim
+docker push base.image.docker:5000/python/face2face_train:<version>_sdk_slim
+</code></pre>
+### web
+<pre><code>
+docker commit -m="faceweb init" -a="jc" <containerId> face2faceweb:<version>
+docker tag face2faceweb:<version> base.image.docker:5000/python/face2face_train:<version>_web
+docker push base.image.docker:5000/python/face2face_train:<version>_web   550M
+python -m gradio_web.gradio_test
+</code></pre>
+
+## 2.依赖项
+```shell script
+pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
+pip install   opencv-python-headless opencv-contrib-python-headless librosa onnxruntime-gpu einops cv2box -i https://mirrors.aliyun.com/pypi/simple
+pip install  scikit-image  matplotlib pyyaml apstone  numexpr flask -i https://mirrors.aliyun.com/pypi/simple
+pip install typeguard==2.13.3 -i https://mirrors.aliyun.com/pypi/simple
+
+365 248 275 7h4no3   GJ20230901
+guiji123
+180.96.14.117 base.image.docker
+docker login  base.image.docker:5000
+admin/Guiji@123!
+```

code-5090/README_with_internal.md

@@ -0,0 +1,105 @@
+## Build And Deploy
+
+###1.环境要求
+需要docker
+
+###2.拉取镜像
+算法镜像（13.1G）: ```sudo docker pull base.image.docker:5000/python/face2face_train:0.0.2_sdk```  
+算法镜像（13.9G）: ```sudo docker pull base.image.docker:5000/python/face2face_train:0.0.1_sdk_slim```    
+web镜像（550M）: ```sudo docker pull base.image.docker:5000/python/face2face_train:0.0.2_web```
+
+###3.创建共享目录及配置
+####1.创建共享目录
+    sudo mkdir -p /data/face2face/web /data/face2face/sdk
+####2.web配置： /data/face2face/web/config.ini
+<pre><code>
+[path]
+log=/code/data/log
+temp=/code/data/temp
+file_name=face2face_web.log
+
+[face2face]
+submit_url=http://<实际宿主机>:8383/easy/submit
+query_url=http://<实际宿主机>:8383/easy/query
+</code></pre>
+####3.sdk配置： /data/face2face/sdk/config.ini
+<pre><code>
+[log]
+log_dir = /code/data/log
+log_file = dh.log
+
+[http_server]
+server_ip = 0.0.0.0
+server_port = 8383
+
+[temp]
+temp_dir = /code/data/temp
+clean_switch = 1
+
+[result]
+result_dir = /code/data/result
+clean_switch = 0
+
+[digital]
+batch_size = 4
+
+</code></pre>
+
+###4.启动镜像
+算法镜像: 
+<pre><code>
+sudo  docker run -v /data/face2face:/code/data -v /data/face2face/sdk/config.ini:/code/config/config.ini -e PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:512 \
+       --gpus all --shm-size 8G -itd --name facesdk  -p 8383:8383  \
+       base.image.docker:5000/python/face2face_train:0.0.3_sdk python /code/app_local.py 
+</code></pre>  
+算法slim镜像: 
+<pre><code>
+sudo  docker run -v /data/face2face:/code/data -v /data/face2face/sdk/config.ini:/code/config/config.ini -e PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:512 \
+       --gpus all --shm-size 8G -itd --name facesdk  -p 8383:8383  \
+       base.image.docker:5000/python/face2face_train:0.0.1_sdk_slim python /code/app_local.py 
+</code></pre>
+web镜像:
+<pre><code>
+docker run -v /data/face2face:/code/data -v /data/face2face/web/config.ini:/code/config.ini \
+       -itd --name faceweb  -p 7862:7862 \
+       base.image.docker:5000/python/face2face_train:0.0.2_web python -m gradio_web.gradio_test
+    </code></pre>  
+###5.验证
+    打开浏览器，输入 http://127.0.0.1:7862 即可打开合成页面
+###6.输出目录
+    /data/face2face/result
+    页面也可以直接下载
+###7.停止服务
+    sudo docker stop faceweb && sudo docker rm faceweb
+    sudo docker stop facesdk && sudo docker rm facesdk
+
+
+## 遇到的问题及解决方案
+Q:docker run 提示 libnvidia-ml.so.1：file exists: unknown  
+A:需要把cuda相关数据删除:  
+    a.删除/etc/docker/daemon.json中与nvidia相关的内容，其中删除default-runtime和runtimes两个key对应的数据
+<pre><code>
+{
+    "default-runtime": "nvidia",  # 需要删除
+    "runtimes": {                 # 需要删除
+        "nvidia": {               # 需要删除
+            "path": "nvidia-container-runtime",   # 需要删除
+            "runtimeArgs": []     # 需要删除
+        }                         # 需要删除
+    },                            # 需要删除
+    "registry-mirrors": ["https://nq12ot3x.mirror.aliyuncs.com"],
+    "insecure-registries":["base.image.docker:5080","base.image.docker:5000"],
+    "data-root": "/home/docker",
+    "log-driver":"json-file",
+    "log-opts":{ "max-size" :"100m","max-file":"10"}
+}
+    </code></pre>
+b.从当前image中构建新image同时删除libnvidia-ml.so.1、libcuda.so.1和libcudadebugger.so.1三个文件
+<pre><code>
+FROM <当前imageId>
+RUN rm -rf /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.1 /usr/lib/x86_64-linux-gnu/libcuda.so.1 /usr/lib/x86_64-linux-gnu/libcudadebugger.so.1
+</code></pre>
+ 
+
+
+

code-5090/README_with_outer.md

@@ -0,0 +1,231 @@
+<a name="top"></a>
+## build on window with wsl and ubuntu
+文档总共分为以下几个部分：  
+1.[安装、部署及卸载](#first)  
+2.[测试效果、效率、资源损耗](#second)  
+3.[web页面使用说明](#third)  
+4.[本地SDK调用](#fourth)
+
+<a name="first"></a>
+## 安装、部署及卸载
+### 一.环境要求及授权
+a.带nvidia显卡的操作系统，显卡型号3080及以上(其他nvidia显卡也可以,效率上会受影响)，显存最小8G，cuda11.6及以上  
+b.docker需要的环境：  
+ - 虚拟ubuntu环境:   
+    - 可以是通过wsl安装的ubuntu，也可以是通过vmware安装的   
+    - 安装docker: [Install Docker Engine on Ubuntu ](https://docs.docker.com/engine/install/ubuntu/)
+    - 验证docker: ```sudo docker ps ```
+    - 安装nvidia-container-runtime: [install the nvidia-container-runtime](https://nvidia.github.io/nvidia-container-runtime/)
+    - 验证nvidia-container-runtime: ```sudo nvidia-container-runtime --vesion```
+    - 完整性验证： ```sudo docker run -it --rm --gpus all hello-world```
+ - powershell环境:  
+    - 安装docker: [Install Docker Desktop on Windows] (https://docs.docker.com/desktop/install/windows-install/) 安装之后会重启操作系统
+    - 安装nvidia-container-runtime: [Installing CUDA Development Tools](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/#download-the-nvidia-cuda-toolkit)
+    - 完整性验证： ``` docker run -it --rm --gpus all hello-world```
+      
+c.授权license(咨询服务联系人)：服务启动时需要指定license.txt文件, 请提供mac地址、显卡id  
+    注：服务首次启动时，必须连接外网进行首次激活，激活地址见sdk得配置文件
+### 二.拉取镜像
+算法镜像（13.4G）: ```sudo docker pull base.image.docker:5000/python/face2face_train:0.0.7_sdk_slim```    
+web镜像（550M）: ```sudo docker pull base.image.docker:5000/python/face2face_train:0.0.4_web```  
+powershell 环境: ```sudo```命令可以不要，直接执行docker及其后面的命令即可
+
+### 三.创建共享目录及配置
+#### 1.创建共享目录
+    sudo mkdir -p /data/face2face/web /data/face2face/sdk
+    on powershell: 创建共享目录 F:\var\f2f\web、F:\var\f2f\sdk
+#### 2.web配置： /data/face2face/web/config.ini
+<pre><code>
+[path]
+log=/code/data/log
+temp=/code/data/temp
+file_name=face2face_web.log
+
+[face2face]
+submit_url=http://<实际宿主机ip>:8383/easy/submit
+query_url=http://<实际宿主机ip>:8383/easy/query
+</code></pre>
+#### 3.sdk配置： /data/face2face/sdk/config.ini
+<pre><code>
+[log]
+log_dir = /code/data/log
+log_file = dh.log
+
+[http_server]
+server_ip = 0.0.0.0
+server_port = 8383
+
+[temp]
+temp_dir = /code/data/temp
+clean_switch = 1
+
+[result]
+result_dir = /code/data/result
+clean_switch = 0
+
+[digital]
+batch_size = 4
+
+[register]
+url = http://172.16.160.51:12120
+
+</code></pre>
+#### 4.license.txt： /data/face2face/sdk/config.ini
+将license.txt放到共享目录： /data/face2face/sdk
+on powershell: F:\var\f2f\sdk
+
+
+### 四.启动镜像
+算法镜像: 
+- on ubuntu : 
+<pre><code>
+sudo  docker run -v /data/face2face:/code/data -v /data/face2face/sdk/config.ini:/code/config/config.ini  -v /data/face2face/sdk/license.txt:/code/license.txt -e PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:512 \
+       --gpus all --shm-size 8G -itd --name facesdk  -p 8383:8383  \
+       base.image.docker:5000/python/face2face_train:0.0.5_sdk_slim python /code/app_local.py 
+</code></pre>
+- on powershell :
+```shell script
+docker run -v F:\var\f2f:/code/data -v F:\var\f2f\sdk/config.ini:/code/config/config.ini -v F:\var\f2f\sdk/license.txt:/code/license.txt -e PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:512 \ 
+       --gpus all --shm-size 8G -itd --name facesdk  -p 8383:8383 \   
+       base.image.docker:5000/python/face2face_train:0.0.5_sdk_slim python /code/app_local.py
+```
+web镜像 :
+- on ubuntu:
+<pre><code>
+sudo docker run -v /data/face2face:/code/data -v /data/face2face/web/config.ini:/code/config.ini \
+       -itd --name faceweb  -p 7862:7862 \
+       base.image.docker:5000/python/face2face_train:0.0.4_web python -m gradio_web.gradio_test
+</code></pre>
+- on powershell
+<pre><code>
+docker run -v F:\var\f2f:/code/data -v F:\var\f2f\sdk/config.ini:/code/config.ini \
+       -itd --name faceweb  -p 7862:7862 \
+       base.image.docker:5000/python/face2face_train:0.0.4_web python -m gradio_web.gradio_test
+</code></pre>
+
+### 五.验证
+    打开浏览器，输入 http://127.0.0.1:7862 即可打开合成页面
+### 六.输出目录
+    /data/face2face/result
+    on powershell: F:\var\f2f\result
+### 七.停止服务
+    sudo docker stop faceweb && sudo docker rm faceweb
+    sudo docker stop facesdk && sudo docker rm facesdk
+powershell 环境: ```sudo```命令可以不要，直接执行docker及其后面的命令即可 
+<a name="second"></a>
+## 测试效果、效率、资源损耗
+1.测试环境  
+显卡:NVIDIA Geforce RTX 3090 24G  cuda:12.0  
+cpu:Intel(R) Xeon(R) Gold 6154 CPU @ 3.00GHz  
+内存：251G  
+2.测试耗时如下：  
+
+| 视频 | 音频| 超分 |合成耗时 | 耗时比例(音频时长:耗时) |
+| --- | --- | --- | --- | --- |
+| 124s 25fps 1920*1080 10049kbps | 10s 44.1khz pcm_s161e stereo 1411kb/s | 否 | 36.569s | 1：3.657 |
+| 124s 25fps 1920*1080 10049kbps | 30s 44.1khz pcm_s161e stereo 1411kb/s | 否 | 83.434s | 1：2.781 |
+| 124s 25fps 1920*1080 10049kbps | 60s 44.1khz pcm_s161e stereo 1411kb/s | 否 | 125.672s | 1：2.094 |
+| 124s 25fps 1920*1080 10116kbps | 10s 44.1khz pcm_s161e stereo 1411kb/s | 是 | 41.870s | 1：4.187 |
+| 124s 25fps 1920*1080 10116kbps | 30s 44.1khz pcm_s161e stereo 1411kb/s | 是 | 99.241s | 1：3.308 |
+| 124s 50fps 1920*1080 10049kbps | 10s 44.1khz pcm_s161e stereo 1411kb/s | 否 | 54.575s | 1：5.457 |  
+| 124s 50fps 1920*1080 10049kbps | 30s 44.1khz pcm_s161e stereo 1411kb/s | 否 | 126.264s | 1：4.208 |                      
+| 124s 50fps 1920*1080 10116kbps | 10s 44.1khz pcm_s161e stereo 1411kb/s | 是 | 72.791s | 1：7.279 |
+| 124s 50fps 1920*1080 10116kbps | 30s 44.1khz pcm_s161e stereo 1411kb/s | 是 | 188.021s | 1：6.267 |
+
+3.测试结论：  
+a.资源损耗：
+- 显存: sdk启动时，需要加载模型，显存最高到达10.4G；稳定运行时显存不超过7G
+- 内存: 最大4G
+- cpu: 最大16c  
+
+b.合成效率：影响合成效率的因素主要有原始视频是否清晰、原始视频的帧率、音频时长
+
+<a name="third"></a>
+## web页面使用说明
+![图片alt](web_demo.jpg "图片title")  
+
+页面使用简单，主要分为左右两个模块，左侧上传模块和右侧结果模块，合成主要分为三个步骤：  
+1.上传模块中需要用户点击上传视频和音频：  
+- 视频支持mp4格式、360p~4K、H264编码，同时建议上传正面、单人脸、无遮挡视频
+- 音频支持wav格式，建议音频为实际说话人声，无背景音，不然会影响最终的口型效果
+
+2.点击submit按钮，即可进入合成中。  
+3.只需要等待一会，合成结束后结果会在右侧展示，支持结果下载与预览
+<a name="fourth"></a>
+## 本地SDK调用
+前提：本地成功部署了base.image.docker:5000/python/face2face_train:0.0.4_sdk_slim并启动成功
+### Submit a task
+request:  
+其中audio_url和video_url对于链接和本地文件均支持，本地文件时将文件放置在sdk的共享目录即可
+<pre><code>
+POST http://127.0.0.1:8383/easy/submit
+Content-Type: application/json
+
+{
+    "audio_url": "https://digital-public.obs.cn-east-3.myhuaweicloud.com/vpp/1batchSynth/2/10s.wav",
+    "video_url": "https://digital-public.obs.cn-east-3.myhuaweicloud.com/vpp/1batchSynth/2/leader_nv.mp4",
+    "code": "146"
+}
+</code></pre>
+    
+response:  
+<pre><code>
+{
+    "code": 10000,
+    "data": {},
+    "msg": 10000,
+    "success": true
+}
+</code></pre>
+
+### Qeury a task by code
+request:
+<pre><code>
+GET http://127.0.0.1:8383/easy/query?code=146
+</code></pre>
+response:  
+查询结果总共分为三个阶段，建议轮询结果  
+当progress为100并且存在result时，则表示结果正确
+<pre><code>
+{
+    "code": 10000,
+    "data": {
+        "code": "146",
+        "msg": "文件下载完成",
+        "progress": 10,
+        "result": "",
+        "status": 1
+    },
+    "msg": "",
+    "success": true
+}
+
+{
+    "code": 10000,
+    "data": {
+        "code": "146",
+        "msg": "音频特征提取完成",
+        "progress": 20,
+        "result": "",
+        "status": 1
+    },
+    "msg": "",
+    "success": true
+}
+
+{
+    "code": 10000,
+    "data": { 
+        "code": "146",
+        "msg": "任务完成",
+        "progress": 100,
+        "result": "/code/data/result/146-r.mp4",
+        "status": 2
+    },
+    "msg": "",
+    "success": true
+}
+</code></pre>
+
+[回到顶部](#top)
+

code-5090/app.cpython-39-x86_64-linux-gnu.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bbd105b591693e9a22ad37a0605382f963d619cefd0cf113606e4f9cf110f453
+size 1435288

code-5090/app.py

@@ -0,0 +1,244 @@
+#!/user/bin/env python
+# coding=utf-8
+"""
+@project : face2face_train
+@author  : huyi
+@file   : app.py
+@ide    : PyCharm
+@time   : 2023-12-06 19:04:21
+"""
+import os
+
+os.chdir('/code')
+import time
+import traceback
+from enum import Enum
+
+from h_utils.custom import CustomError
+from y_utils.logger import logger
+from flask import Flask, request
+from y_utils.config import GlobalConfig
+from service.trans_dh_service import TransDhTask, Status
+
+import json
+import uuid
+import threading
+import gc
+
+app = Flask(__name__)
+
+
+class EasyResponse:
+    def __init__(
+            self,
+            code,
+            success,
+            msg, data: dict):
+        self.code = code
+        self.success = success
+        self.msg = msg
+        self.data = data
+
+
+class ResponseCode(Enum):
+    system_error = [9999, '系统异常']
+    success = [10000, '成功']
+    busy = [10001, '忙碌中']
+    error1 = [10002, '参数异常']
+    error2 = [10003, '获取锁异常']
+    error3 = [10004, '任务不存在']
+
+
+@app.route('/easy/submit', methods=['POST'])
+def easy_submit():
+    request_data = json.loads(request.data)
+    try:
+        if 'audio_url' not in request_data or request_data['audio_url'] == '':
+            return json.dumps(
+                EasyResponse(ResponseCode.error1.value[0], False, 'audio_url参数缺失', {}),
+                default=lambda obj: obj.__dict__,
+                sort_keys=True, ensure_ascii=False,
+                indent=4)
+        if 'video_url' not in request_data or request_data['video_url'] == '':
+            return json.dumps(
+                EasyResponse(ResponseCode.error1.value[0], False, 'video_url参数缺失', {}),
+                default=lambda obj: obj.__dict__,
+                sort_keys=True, ensure_ascii=False,
+                indent=4)
+        if 'code' not in request_data or request_data['code'] == '':
+            return json.dumps(
+                EasyResponse(ResponseCode.error1.value[0], False, 'code参数缺失', {}),
+                default=lambda obj: obj.__dict__,
+                sort_keys=True, ensure_ascii=False,
+                indent=4)
+        _audio_url = request_data['audio_url']
+        _video_url = request_data['video_url']
+        _code = request_data['code']
+        if 'watermark_switch' not in request_data or request_data['watermark_switch'] == '':
+            _watermark_switch = 0
+        else:
+            if str(request_data['watermark_switch']) == '1':
+                _watermark_switch = 1
+            else:
+                _watermark_switch = 0
+        if 'digital_auth' not in request_data or request_data['digital_auth'] == '':
+            _digital_auth = 0
+        else:
+            if str(request_data['digital_auth']) == '1':
+                _digital_auth = 1
+            else:
+                _digital_auth = 0
+        if 'chaofen' not in request_data or request_data['chaofen'] == '':
+            _chaofen = 0
+        else:
+            if str(request_data['chaofen']) == '1':
+                _chaofen = 1
+            else:
+                _chaofen = 0
+        if TransDhTask.instance().run_flag:
+            return json.dumps(
+                EasyResponse(ResponseCode.busy.value[0], True, ResponseCode.busy.value[1], {}),
+                default=lambda obj: obj.__dict__,
+                sort_keys=True, ensure_ascii=False,
+                indent=4)
+        if 'pn' not in request_data or request_data['pn'] == '':
+            _pn = 0
+        else:
+            if str(request_data['pn']) == '1':
+                _pn = 1
+            else:
+                _pn = 0
+        if TransDhTask.instance().run_flag:
+            return json.dumps(
+                EasyResponse(ResponseCode.busy.value[0], True, ResponseCode.busy.value[1], {}),
+                default=lambda obj: obj.__dict__,
+                sort_keys=True, ensure_ascii=False,
+                indent=4)
+        else:
+            try:
+                TransDhTask.instance().run_lock.acquire()
+                TransDhTask.instance().run_flag = True
+                TransDhTask.instance().task_dic[_code] = (Status.run, 0, '', '')
+            except Exception as e:
+                traceback.print_exc()
+                return json.dumps(
+                    EasyResponse(ResponseCode.error2.value[0], False, ResponseCode.error2.value[1], {}),
+                    default=lambda obj: obj.__dict__,
+                    sort_keys=True, ensure_ascii=False,
+                    indent=4)
+            finally:
+                TransDhTask.instance().run_lock.release()
+            threading.Thread(
+                target=TransDhTask.instance().work,
+                args=(_audio_url, _video_url, _code, _watermark_switch, _digital_auth, _chaofen, _pn)).start()
+            return json.dumps(
+                EasyResponse(ResponseCode.success.value[0], True, ResponseCode.success.value[0], {}),
+                default=lambda obj: obj.__dict__,
+                sort_keys=True, ensure_ascii=False,
+                indent=4)
+    except Exception as e:
+        traceback.print_exc()
+        return json.dumps(
+            EasyResponse(ResponseCode.system_error.value[0], False, ResponseCode.system_error.value[1], {}),
+            default=lambda obj: obj.__dict__,
+            sort_keys=True, ensure_ascii=False,
+            indent=4)
+    finally:
+        gc.collect()
+
+
+@app.route('/easy/query', methods=['GET'])
+def easy_query():
+    del_flag = False
+    get_data = request.args.to_dict()
+    try:
+        if get_data.get('code') is None and get_data.get('code') == '':
+            return json.dumps(
+                EasyResponse(ResponseCode.error1.value[0], False, 'code参数缺失', {}),
+                default=lambda obj: obj.__dict__,
+                sort_keys=True, ensure_ascii=False,
+                indent=4)
+        _code = get_data.get('code')
+        if _code in TransDhTask.instance().task_dic:
+            _status, _progress, _result, _msg = TransDhTask.instance().task_dic[_code]
+            if _status == Status.run:
+                return json.dumps(
+                    EasyResponse(ResponseCode.success.value[0], True, '', {
+                        'code': _code,
+                        'status': _status.value,
+                        'progress': _progress,
+                        'result': _result,
+                        'msg': _msg
+                    }),
+                    default=lambda obj: obj.__dict__,
+                    sort_keys=True, ensure_ascii=False,
+                    indent=4)
+            elif _status == Status.success:
+                del_flag = True
+                return json.dumps(
+                    EasyResponse(ResponseCode.success.value[0], True, '', {
+                        'code': _code,
+                        'status': _status.value,
+                        'progress': _progress,
+                        'result': _result,
+                        'msg': _msg
+                    }),
+                    default=lambda obj: obj.__dict__,
+                    sort_keys=True, ensure_ascii=False,
+                    indent=4)
+            elif _status == Status.error:
+                del_flag = True
+                return json.dumps(
+                    EasyResponse(ResponseCode.success.value[0], True, '', {
+                        'code': _code,
+                        'status': _status.value,
+                        'progress': _progress,
+                        'result': _result,
+                        'msg': _msg
+                    }),
+                    default=lambda obj: obj.__dict__,
+                    sort_keys=True, ensure_ascii=False, indent=4)
+        else:
+            return json.dumps(
+                EasyResponse(ResponseCode.error3.value[0], True, ResponseCode.error3.value[1], {}),
+                default=lambda obj: obj.__dict__,
+                sort_keys=True, ensure_ascii=False,
+                indent=4)
+    except Exception as e:
+        traceback.print_exc()
+        return json.dumps(
+            EasyResponse(ResponseCode.system_error.value[0], False, ResponseCode.system_error.value[1], {}),
+            default=lambda obj: obj.__dict__,
+            sort_keys=True, ensure_ascii=False,
+            indent=4)
+    finally:
+        if del_flag:
+            try:
+                TransDhTask.instance().run_lock.acquire()
+                del TransDhTask.instance().task_dic[_code]
+                TransDhTask.instance().run_lock.release()
+            except Exception as e:
+                traceback.print_exc()
+                return json.dumps(
+                    EasyResponse(ResponseCode.error3.value[0], True, ResponseCode.error3.value[1], {}),
+                    default=lambda obj: obj.__dict__,
+                    sort_keys=True, ensure_ascii=False,
+                    indent=4)
+
+
+if __name__ == '__main__':
+    TransDhTask.instance()
+    time.sleep(15)
+    logger.info("******************* TransDhServer服务启动 *******************")
+    if not os.path.exists(GlobalConfig.instance().temp_dir):
+        logger.info("创建临时目录")
+        os.makedirs(GlobalConfig.instance().temp_dir)
+    if not os.path.exists(GlobalConfig.instance().result_dir):
+        logger.info("创建结果目录")
+        os.makedirs(GlobalConfig.instance().result_dir)
+
+    app.run(
+        host=str(GlobalConfig.instance().server_ip),
+        port=int(GlobalConfig.instance().server_port),
+        debug=False,
+        threaded=False)

code-5090/app_local.cpython-39-x86_64-linux-gnu.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:42f511515f7623b0b030c26ae8956702963f6e33fc215f9fbd6fe1c32219f4ec
+size 1434488

code-5090/app_local.py

@@ -0,0 +1,247 @@
+#!/user/bin/env python
+# coding=utf-8
+"""
+@project : face2face_train
+@author  : huyi
+@file   : app.py
+@ide    : PyCharm
+@time   : 2023-12-06 19:04:21
+"""
+import spaces
+import os
+
+os.chdir('/code')
+import time
+import traceback
+from enum import Enum
+
+from y_utils.logger import logger
+from flask import Flask, request
+from y_utils.config import GlobalConfig
+from service.trans_dh_service import TransDhTask, Status,a
+
+import json
+import threading
+import gc
+import cv2
+
+app = Flask(__name__)
+
+
+class EasyResponse:
+    def __init__(
+            self,
+            code,
+            success,
+            msg, data: dict):
+        self.code = code
+        self.success = success
+        self.msg = msg
+        self.data = data
+
+
+class ResponseCode(Enum):
+    system_error = [9999, '系统异常']
+    success = [10000, '成功']
+    busy = [10001, '忙碌中']
+    error1 = [10002, '参数异常']
+    error2 = [10003, '获取锁异常']
+    error3 = [10004, '任务不存在']
+
+@app.route('/easy/submit', methods=['POST'])
+@spaces.GPU
+def easy_submit():
+    request_data = json.loads(request.data)
+    try:
+        if 'audio_url' not in request_data or request_data['audio_url'] == '':
+            return json.dumps(
+                EasyResponse(ResponseCode.error1.value[0], False, 'audio_url参数缺失', {}),
+                default=lambda obj: obj.__dict__,
+                sort_keys=True, ensure_ascii=False,
+                indent=4)
+        if 'video_url' not in request_data or request_data['video_url'] == '':
+            return json.dumps(
+                EasyResponse(ResponseCode.error1.value[0], False, 'video_url参数缺失', {}),
+                default=lambda obj: obj.__dict__,
+                sort_keys=True, ensure_ascii=False,
+                indent=4)
+        if 'code' not in request_data or request_data['code'] == '':
+            return json.dumps(
+                EasyResponse(ResponseCode.error1.value[0], False, 'code参数缺失', {}),
+                default=lambda obj: obj.__dict__,
+                sort_keys=True, ensure_ascii=False,
+                indent=4)
+        _audio_url = request_data['audio_url']
+        _video_url = request_data['video_url']
+        _code = request_data['code']
+
+        if 'watermark_switch' not in request_data or request_data['watermark_switch'] == '':
+            _watermark_switch = 0
+        else:
+            if str(request_data['watermark_switch']) == '1':
+                _watermark_switch = 1
+            else:
+                _watermark_switch = 0
+        if 'digital_auth' not in request_data or request_data['digital_auth'] == '':
+            _digital_auth = 0
+        else:
+            if str(request_data['digital_auth']) == '1':
+                _digital_auth = 1
+            else:
+                _digital_auth = 0
+        if 'chaofen' not in request_data or request_data['chaofen'] == '':
+            _chaofen = 0
+        else:
+            if str(request_data['chaofen']) == '1':
+                _chaofen = 1
+            else:
+                _chaofen = 0
+        if TransDhTask.instance().run_flag:
+            return json.dumps(
+                EasyResponse(ResponseCode.busy.value[0], True, ResponseCode.busy.value[1], {}),
+                default=lambda obj: obj.__dict__,
+                sort_keys=True, ensure_ascii=False,
+                indent=4)
+        if 'pn' not in request_data or request_data['pn'] == '':
+            _pn = 1
+        else:
+            if str(request_data['pn']) == '1':
+                _pn = 1
+            else:
+                _pn = 0
+        if TransDhTask.instance().run_flag:
+            return json.dumps(
+                EasyResponse(ResponseCode.busy.value[0], True, ResponseCode.busy.value[1], {}),
+                default=lambda obj: obj.__dict__,
+                sort_keys=True, ensure_ascii=False,
+                indent=4)
+        else:
+            try:
+                TransDhTask.instance().run_lock.acquire()
+                TransDhTask.instance().run_flag = True
+                TransDhTask.instance().task_dic[_code] = (Status.run, 0, '', '')
+            except Exception as e:
+                traceback.print_exc()
+                return json.dumps(
+                    EasyResponse(ResponseCode.error2.value[0], False, ResponseCode.error2.value[1], {}),
+                    default=lambda obj: obj.__dict__,
+                    sort_keys=True, ensure_ascii=False,
+                    indent=4)
+            finally:
+                TransDhTask.instance().run_lock.release()
+
+            threading.Thread(
+                target=TransDhTask.instance().work,
+                args=(_audio_url, _video_url, _code, _watermark_switch, _digital_auth, _chaofen, _pn)).start()
+            return json.dumps(
+                EasyResponse(ResponseCode.success.value[0], True, ResponseCode.success.value[0], {}),
+                default=lambda obj: obj.__dict__,
+                sort_keys=True, ensure_ascii=False,
+                indent=4)
+    except Exception as e:
+        traceback.print_exc()
+        return json.dumps(
+            EasyResponse(ResponseCode.system_error.value[0], False, ResponseCode.system_error.value[1], {}),
+            default=lambda obj: obj.__dict__,
+            sort_keys=True, ensure_ascii=False,
+            indent=4)
+    finally:
+        gc.collect()
+
+
+@app.route('/easy/query', methods=['GET'])
+def easy_query():
+    del_flag = False
+    get_data = request.args.to_dict()
+    try:
+        if get_data.get('code') is None and get_data.get('code') == '':
+            return json.dumps(
+                EasyResponse(ResponseCode.error1.value[0], False, 'code参数缺失', {}),
+                default=lambda obj: obj.__dict__,
+                sort_keys=True, ensure_ascii=False,
+                indent=4)
+        _code = get_data.get('code')
+        if _code in TransDhTask.instance().task_dic:
+            _status, _progress, _result, _msg = TransDhTask.instance().task_dic[_code]
+            if _status == Status.run:
+                return json.dumps(
+                    EasyResponse(ResponseCode.success.value[0], True, '', {
+                        'code': _code,
+                        'status': _status.value,
+                        'progress': _progress,
+                        'result': _result,
+                        'msg': _msg
+                    }),
+                    default=lambda obj: obj.__dict__,
+                    sort_keys=True, ensure_ascii=False,
+                    indent=4)
+            elif _status == Status.success:
+                del_flag = True
+                return json.dumps(
+                    EasyResponse(ResponseCode.success.value[0], True, '', {
+                        'code': _code,
+                        'status': _status.value,
+                        'progress': _progress,
+                        'result': _result,
+                        'msg': _msg
+                    }),
+                    default=lambda obj: obj.__dict__,
+                    sort_keys=True, ensure_ascii=False,
+                    indent=4)
+            elif _status == Status.error:
+                del_flag = True
+                return json.dumps(
+                    EasyResponse(ResponseCode.success.value[0], True, '', {
+                        'code': _code,
+                        'status': _status.value,
+                        'progress': _progress,
+                        'result': _result,
+                        'msg': _msg
+                    }),
+                    default=lambda obj: obj.__dict__,
+                    sort_keys=True, ensure_ascii=False, indent=4)
+        else:
+            return json.dumps(
+                EasyResponse(ResponseCode.error3.value[0], True, ResponseCode.error3.value[1], {}),
+                default=lambda obj: obj.__dict__,
+                sort_keys=True, ensure_ascii=False,
+                indent=4)
+    except Exception as e:
+        traceback.print_exc()
+        return json.dumps(
+            EasyResponse(ResponseCode.system_error.value[0], False, ResponseCode.system_error.value[1], {}),
+            default=lambda obj: obj.__dict__,
+            sort_keys=True, ensure_ascii=False,
+            indent=4)
+    finally:
+        if del_flag:
+            try:
+                TransDhTask.instance().run_lock.acquire()
+                del TransDhTask.instance().task_dic[_code]
+                TransDhTask.instance().run_lock.release()
+            except Exception as e:
+                traceback.print_exc()
+                return json.dumps(
+                    EasyResponse(ResponseCode.error3.value[0], True, ResponseCode.error3.value[1], {}),
+                    default=lambda obj: obj.__dict__,
+                    sort_keys=True, ensure_ascii=False,
+                    indent=4)
+
+
+if __name__ == '__main__':
+    a()
+    TransDhTask.instance()
+    time.sleep(15)
+    logger.info("******************* TransDhServer服务启动 *******************")
+    if not os.path.exists(GlobalConfig.instance().temp_dir):
+        logger.info("创建临时目录")
+        os.makedirs(GlobalConfig.instance().temp_dir)
+    if not os.path.exists(GlobalConfig.instance().result_dir):
+        logger.info("创建结果目录")
+        os.makedirs(GlobalConfig.instance().result_dir)
+
+    app.run(
+        host=str(GlobalConfig.instance().server_ip),
+        port=int(GlobalConfig.instance().server_port),
+        debug=False,
+        threaded=False)

code-5090/app_local_interval.cpython-39-x86_64-linux-gnu.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9bcb76f5fcf7df65b5f04a4ad51aefa4fa99d48f35750d95c29e02243041b2f
+size 1398152

code-5090/batch.cpython-39-x86_64-linux-gnu.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:52127076ba3fb906d7af85964d07492d6b80966e5ee208e5ecd5e38658cf2d63
+size 108568

code-5090/config/config.ini

@@ -0,0 +1,23 @@
+[log]
+log_dir = /code/data/log
+log_file = dh.log
+
+[http_server]
+server_ip = 0.0.0.0
+server_port = 8383
+
+[temp]
+temp_dir = /code/data/temp
+clean_switch = 1
+
+[result]
+result_dir = /code/data/result
+clean_switch = 0
+
+[digital]
+batch_size = 30
+
+[register]
+url = http://172.16.160.51:12120
+report_interval = 30
+enable=0

code-5090/data/log/dh.log

@@ -0,0 +1,21 @@
+[2025-05-12 16:18:22,333] [cv_logging.py[line:27]] [INFO] [Use default multi mode: multi-thread, or you can set env 'CV_MULTI_MODE' to multi-process/torch-process]
+[2025-05-12 16:18:34,084] [app_local.py[line:230]] [WARNING] [ -> 服务不进行注册]
+[2025-05-12 16:18:34,084] [app_local.py[line:231]] [INFO] [TransDhTask init]
+[2025-05-12 16:18:45,230] [cv_logging.py[line:27]] [INFO] [Use default multi mode: multi-thread, or you can set env 'CV_MULTI_MODE' to multi-process/torch-process]
+[2025-05-12 16:18:47,909] [app_local.py[line:230]] [WARNING] [ -> 服务不进行注册]
+[2025-05-12 16:18:47,909] [app_local.py[line:231]] [INFO] [TransDhTask init]
+[2025-05-12 16:18:55,037] [cv_logging.py[line:27]] [INFO] [Use default multi mode: multi-thread, or you can set env 'CV_MULTI_MODE' to multi-process/torch-process]
+[2025-05-12 16:18:57,325] [app_local.py[line:230]] [WARNING] [ -> 服务不进行注册]
+[2025-05-12 16:18:57,325] [app_local.py[line:231]] [INFO] [TransDhTask init]
+[2025-05-12 16:19:04,834] [cv_logging.py[line:27]] [INFO] [Use default multi mode: multi-thread, or you can set env 'CV_MULTI_MODE' to multi-process/torch-process]
+[2025-05-12 16:19:07,502] [app_local.py[line:230]] [WARNING] [ -> 服务不进行注册]
+[2025-05-12 16:19:07,502] [app_local.py[line:231]] [INFO] [TransDhTask init]
+[2025-05-12 16:19:14,675] [cv_logging.py[line:27]] [INFO] [Use default multi mode: multi-thread, or you can set env 'CV_MULTI_MODE' to multi-process/torch-process]
+[2025-05-12 16:19:17,393] [app_local.py[line:230]] [WARNING] [ -> 服务不进行注册]
+[2025-05-12 16:19:17,393] [app_local.py[line:231]] [INFO] [TransDhTask init]
+[2025-05-12 16:19:25,850] [cv_logging.py[line:27]] [INFO] [Use default multi mode: multi-thread, or you can set env 'CV_MULTI_MODE' to multi-process/torch-process]
+[2025-05-12 16:19:28,075] [app_local.py[line:230]] [WARNING] [ -> 服务不进行注册]
+[2025-05-12 16:19:28,075] [app_local.py[line:231]] [INFO] [TransDhTask init]
+[2025-05-12 16:19:36,846] [cv_logging.py[line:27]] [INFO] [Use default multi mode: multi-thread, or you can set env 'CV_MULTI_MODE' to multi-process/torch-process]
+[2025-05-12 16:19:39,085] [app_local.py[line:230]] [WARNING] [ -> 服务不进行注册]
+[2025-05-12 16:19:39,085] [app_local.py[line:231]] [INFO] [TransDhTask init]

code-5090/docker-compose.yml

@@ -0,0 +1,22 @@
+version: '3.8'
+
+services:
+  facesdk:
+    image: base.image.docker:5000/python/face2face_train:0.0.7_sdk_slim
+    container_name: facesdk
+    privileged: true
+    volumes:
+      - d:\face2face:/code/data
+      - d:\face2face\sdk/config.ini:/code/config/config.ini
+      - d:\face2face\sdk/license.txt:/code/license.txt
+    environment:
+      - PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:512
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - capabilities: [gpu]
+    shm_size: '8g'
+    ports:
+      - "8383:8383"
+    command: python /code/app_local.py

code-5090/face_attr_detect/__init__.py

@@ -0,0 +1 @@
+from .face_attr import FaceAttr

code-5090/face_attr_detect/face_attr.cpython-39-x86_64-linux-gnu.so

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+size 400880

code-5090/face_attr_detect/face_attr_epoch_12_220318.onnx

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+size 3723167

code-5090/face_detect_utils/face_detect.cpython-39-x86_64-linux-gnu.so

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code-5090/face_detect_utils/head_pose.cpython-39-x86_64-linux-gnu.so

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code-5090/face_detect_utils/resources/pfpld_robust_sim_bs1_8003.onnx

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+size 6889235

code-5090/face_detect_utils/resources/scrfd_500m_bnkps_shape640x640.onnx

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+oid sha256:b467f878e26ff1e7ee05cd9936fdff63fa2a5af5d732ed17ee231f2dd5cc07ae
+size 2524648

code-5090/face_detect_utils/scrfd.cpython-39-x86_64-linux-gnu.so

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+size 1723736

code-5090/face_lib/face_detect_and_align/__init__.py

@@ -0,0 +1,3 @@
+from .face_align_5_landmarks import FaceDetect5Landmarks
+from .face_align_utils import estimate_norm
+

code-5090/face_lib/face_detect_and_align/face_align_5_landmarks.cpython-39-x86_64-linux-gnu.so

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+size 972896

code-5090/face_lib/face_detect_and_align/face_align_utils.cpython-39-x86_64-linux-gnu.so

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+size 967256

code-5090/face_lib/face_detect_and_align/scrfd_insightface/__init__.py

@@ -0,0 +1,5 @@
+# -- coding: utf-8 --
+# @Time : 2021/11/10
+
+
+from .scrfd import SCRFD

code-5090/face_lib/face_detect_and_align/scrfd_insightface/scrfd.cpython-39-x86_64-linux-gnu.so

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+size 1467080

code-5090/face_lib/face_parsing/__init__.py

@@ -0,0 +1,6 @@
+# -- coding: utf-8 --
+# @Time : 2022/3/29
+
+
+from .face_parsing_api import FaceParsing
+# from .dfl_xseg_net import XsegNet

code-5090/face_lib/face_parsing/face_parsing_api.cpython-39-x86_64-linux-gnu.so

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code-5090/face_lib/face_restore/__init__.py

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+
+from .gfpgan_onnx.gfpgan_onnx_api import GFPGAN

code-5090/face_lib/face_restore/gfpgan_onnx/gfpgan_onnx_api.cpython-39-x86_64-linux-gnu.so

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code-5090/face_restore_gfpgan_thread_cam_pipeline.cpython-39-x86_64-linux-gnu.so

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code-5090/face_restore_gfpgan_thread_pipeline.cpython-39-x86_64-linux-gnu.so

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+size 1176184

code-5090/h_utils/__init__.py

@@ -0,0 +1,9 @@
+#!/user/bin/env python
+# coding=utf-8
+"""
+@project : dhp-service
+@author  : huyi
+@file   : __init__.py.py
+@ide    : PyCharm
+@time   : 2021-08-18 15:45:13
+"""

code-5090/h_utils/custom.cpython-39-x86_64-linux-gnu.so

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code-5090/h_utils/obs_client.cpython-39-x86_64-linux-gnu.so

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code-5090/h_utils/request_utils.cpython-39-x86_64-linux-gnu.so

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code-5090/h_utils/sweep_bot.cpython-39-x86_64-linux-gnu.so

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code-5090/h_utils/zip_utils.cpython-39-x86_64-linux-gnu.so

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code-5090/http_req/http-client.env.json

@@ -0,0 +1,14 @@
+{
+  "local": {
+    "host": "127.0.0.1",
+    "port": 8081
+  },
+  "192.168.4.42": {
+    "host": "192.168.4.42",
+    "port": 10058
+  },
+  "172.16.103.26": {
+    "host": "172.16.103.26",
+    "port": 8000
+  }
+}

code-5090/http_req/http_api.http

@@ -0,0 +1,18 @@
+### 查询任务
+#GET http://10.2.3.51:10066/easy/query?code=146
+GET http://10.2.3.51:8383/easy/query?code=147
+
+
+### 提交任务
+#POST http://10.2.3.51:10066/easy/submit
+POST http://10.2.3.51:8383/easy/submit
+Content-Type: application/json
+
+{
+    "audio_url": "https://digital-public.obs.cn-east-3.myhuaweicloud.com/dh_news/wave/20240227165902_bd_tts_request_1709024766569.wav",
+    "video_url": "https://digital-public.obs.cn-east-3.myhuaweicloud.com/vpp/1batchSynth/2/cut_1080.mp4",
+	"code": "147"
+}
+
+###
+