# a003_face

**Repository Path**: rainbowzl/a003_face

## Basic Information

- **Project Name**: a003_face
- **Description**: 12345678910
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-12-02
- **Last Updated**: 2025-03-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 环境配置
使用Python版本3.12。创建新conda环境后运行如下安装命令。

Linux:
```
# 二选一：使用CUDA
pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 --index-url https://download.pytorch.org/whl/cu121
# 二选一：使用CPU
pip3 install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 --index-url https://download.pytorch.org/whl/cpu

# 无论CUDA或CPU，都需要的库
pip3 install facenet-pytorch opencv-python seaborn fastapi 'uvicorn[standard]' colored_traceback python-multipart scikit-learn colorama natsort retinaface-pytorch schedule onnxruntime flask ultralytics
pip3 install --only-binary :all: insightface
```

# 启动说明
1. cd进入项目目录
2. 运行如下命令，启动服务
 ```
 export PYTHONPATH=项目文件夹所在路径:$PYTHONPATH
 python ./a003_fastapi/a001_main.py
 ```
 若要挂在后台运行，可将第二条命令改为 "nohup python ./a002_main/a004_fastapi/a001_main.py > output.log 2>&1 &"