GaussianHaircut/download_resource.bat

@echo off
setlocal enabledelayedexpansion

SET PROJECT_DIR=%~dp0
cd %PROJECT_DIR%


echo ======================================= 基础环境配置 ==============================================
echo.
echo **************************************************************************************************
echo *                                        基础环境配置                                             *
echo *                                   检查Python是否安装，更新pip，安装gdown                         *
echo *                                            请耐心等待...                                        *
echo **************************************************************************************************
echo.
REM 检查Python是否安装
python --version >nul 2>nul
IF %ERRORLEVEL% NEQ 0 (
    echo 错误：未找到Python
    echo 请安装Python并将其添加到系统环境变量PATH中
    exit /b 1
)

REM 更新pip
python -m pip install --upgrade pip

REM 检查gdown是否已安装
python -c "import gdown" >nul 2>nul
IF %ERRORLEVEL% EQU 0 (
    echo gdown已安装，跳过安装步骤...
) ELSE (
    REM 安装gdown
    echo 正在安装gdown...
    python -m pip install --user gdown --upgrade
    python -m pip install --user requests --upgrade
    IF %ERRORLEVEL% NEQ 0 (
        echo 错误：gdown安装失败
        echo 请检查网络连接后重试
        exit /b 1
    )
)

REM 添加Python Scripts目录到PATH
for /f "tokens=*" %%i in ('python -c "import sys; print(sys.executable)"') do set PYTHON_PATH=%%i
set PYTHON_SCRIPTS_PATH=%PYTHON_PATH:python.exe=Scripts%
set PYTHON_USER_SCRIPTS=%USERPROFILE%\AppData\Roaming\Python\Python3*\Scripts
set PATH=%PYTHON_SCRIPTS_PATH%;%PYTHON_USER_SCRIPTS%;%PATH%

REM 检查7-Zip是否安装
where 7z >nul 2>nul
IF %ERRORLEVEL% NEQ 0 (
    echo 错误：未找到7-Zip
    echo 请从 https://7-zip.org/ 下载并安装7-Zip
    echo 并将其添加到系统环境变量PATH中
    exit /b 1
)


REM 验证gdown是否可用
echo 正在验证gdown安装...
python -c "import gdown" >nul 2>nul
IF %ERRORLEVEL% NEQ 0 (
    echo 错误：gdown安装验证失败
    echo 请重新运行脚本
    exit /b 1
)
echo gdown安装成功！
echo.

echo ======================================= 开始下载所需资源文件 =======================================
echo.
echo **************************************************************************************************
echo *                                        开始下载所需资源文件                                      *
echo *                                    下载时间取决于您的网络连接速度                                 *
echo *                                            请耐心等待...                                        *
echo **************************************************************************************************
echo.

echo [1/8] 正在下载Neural Haircut文件...
mkdir %PROJECT_DIR%/resource/NeuralHaircut
cd %PROJECT_DIR%/resource/NeuralHaircut
python -m gdown --folder "https://drive.google.com/drive/folders/1TCdJ0CKR3Q6LviovndOkJaKm8S1T9F_8"
cd %PROJECT_DIR%

echo [2/8] 正在下载Neural Haircut扩散先验模型文件...
cd %PROJECT_DIR%/resource/NeuralHaircut/pretrained_models/diffusion_prior
python -m gdown "1_9EOUXHayKiGH5nkrayncln3d6m1uV7f"
cd %PROJECT_DIR%

echo [3/8] 正在下载Neural HaircutPIXIE模型文件...
mkdir %PROJECT_DIR%/resource/NeuralHaircut/PIXIE
cd %PROJECT_DIR%/resource/NeuralHaircut/PIXIE
python -m gdown "1mPcGu62YPc4MdkT8FFiOCP629xsENHZf" && tar -xvzf pixie_data.tar.gz ./ && rm pixie_data.tar.gz
cd %PROJECT_DIR%

echo [4/8] 正在下载hyperIQA模型文件...
mkdir %PROJECT_DIR%/resource/hyperIQA/pretrained
cd %PROJECT_DIR%/resource/hyperIQA/pretrained
python -m gdown "1OOUmnbvpGea0LIGpIWEbOyxfWx6UCiiE"
cd %PROJECT_DIR%

echo [5/8] 正在下载Matte-Anything扩散先验模型文件...
mkdir %PROJECT_DIR%/resource/Matte-Anything/pretrained
cd %PROJECT_DIR%/resource/Matte-Anything/pretrained
wget "https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth"
echo [6/8] 正在下载Matte-AnythingGroundingDINO模型文件...
cd %PROJECT_DIR%/resource/Matte-Anything/pretrained
wget "https://github.com/IDEA-Research/GroundingDINO/releases/download/v0.1.0-alpha/groundingdino_swint_ogc.pth"
echo [7/8] 正在下载Matte-Anything模型文件...
python -m gdown "1d97oKuITCeWgai2Tf3iNilt6rMSSYzkW"
cd %PROJECT_DIR%

echo [8/8] 正在下载OpenPose模型文件...
mkdir %PROJECT_DIR%/resource/openpose/models/pose/coco
cd %PROJECT_DIR%/resource/openpose/models/pose/coco
python -m gdown "1Yn03cKKfVOq4qXmgBMQD20UMRRRkd_tV" && tar -xvzf models.tar.gz && rm models.tar.gz
cd %PROJECT_DIR%

echo 所有模型文件下载完成！