diff --git a/download_resource.bat b/download_resource.bat
index 93c5812..b45eced 100644
--- a/download_resource.bat
+++ b/download_resource.bat
@@ -39,7 +39,7 @@ SET "MODEL_DINO_PATH=resource\Matte-Anything\groundingdino_swint_ogc.pth"
 SET "MODEL_DINO_URL=https://github.com/IDEA-Research/GroundingDINO/releases/download/v0.1.0-alpha/groundingdino_swint_ogc.pth"
 
 SET "MODEL_OPENPOSE_NAME=OpenPose模型"
-SET "MODEL_OPENPOSE_PATH=resource\openpose\models\pose_iter_584000.caffemodel"
+SET "MODEL_OPENPOSE_PATH=resource\openpose\models\pose\coco\pose_iter_584000.caffemodel"
 SET "MODEL_OPENPOSE_URL=1Yn03cKKfVOq4qXmgBMQD20UMRRRkd_tV"
 
 SET "MODEL_HYPERIQA_NAME=hyperIQA模型"
@@ -115,7 +115,7 @@ cd resource
 mkdir NeuralHaircut\pretrained_models\diffusion_prior 2>nul
 mkdir PIXIE 2>nul
 mkdir Matte-Anything 2>nul
-mkdir openpose\models 2>nul
+mkdir openpose\models\pose\coco 2>nul
 mkdir hyperIQA\pretrained 2>nul
 
 REM 验证已有文件
@@ -257,7 +257,7 @@ IF EXIST "%MODEL_MATTE_PATH%" (
 )
 
 REM 下载 OpenPose 模型
-cd ..\openpose\models
+cd ..\openpose\models\pose\coco
 echo 正在下载OpenPose模型...
 IF EXIST "%MODEL_OPENPOSE_PATH%" (
     echo %MODEL_OPENPOSE_NAME%已存在，跳过下载...
diff --git a/install.bat b/install.bat
index c7ea525..dd25f81 100644
--- a/install.bat
+++ b/install.bat
@@ -127,14 +127,10 @@ git clone https://github.com/SSL92/hyperIQA
 cd ..
 
 REM 创建环境
-CALL "%MICROMAMBA_EXE%" create -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair python=3.8 pytorch=2.0.0 torchvision pytorch-cuda=11.8 cmake ninja setuptools=58.2.0 -c pytorch -c nvidia -c conda-forge -y
-CALL "%MICROMAMBA_EXE%" create -p %MAMBA_ROOT_PREFIX%\envs\matte_anything pytorch=2.0.0 pytorch-cuda=11.8 torchvision tensorboard timm=0.5.4 opencv=4.5.3 mkl=2024.0 setuptools=58.2.0 easydict wget scikit-image gradio=3.46.1 fairscale supervision==0.22.0 -c pytorch -c nvidia -c conda-forge -y
-CALL "%MICROMAMBA_EXE%" create -p %MAMBA_ROOT_PREFIX%\envs\openpose python=3.8 cmake=3.20 -c conda-forge -y
-CALL "%MICROMAMBA_EXE%" create -p %MAMBA_ROOT_PREFIX%\envs\pixie-env python=3.8 pytorch=2.0.0 torchvision==0.15.0 torchaudio==2.0.0 pytorch-cuda=11.8 fvcore pytorch3d==0.7.5 kornia matplotlib -c pytorch -c nvidia -c fvcore -c conda-forge -c pytorch3d -c bottler -c iopath -y
+CALL "%MICROMAMBA_EXE%" env create -f environment.yml
 
 REM 安装 gaussian_splatting_hair 环境
 CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
-pip install -r requirements.txt
 
 REM 安装外部库
 cd %PROJECT_DIR%\ext\pytorch3d
@@ -156,14 +152,23 @@ IF NOT EXIST "%PROJECT_DIR%\resource" (
     echo.
     echo resource/
     echo ├── NeuralHaircut/
-    echo │   ├── diffusion_prior/
-    echo │   └── PIXIE/
+    echo │   ├── pretrained_models/
+    echo │   │   └── diffusion_prior/
+    echo │   │       └── model.pt
+    echo ├── PIXIE/
+    echo │   └── pixie_data/
     echo ├── Matte-Anything/
     echo │   ├── sam_vit_h_4b8939.pth
     echo │   ├── groundingdino_swint_ogc.pth
     echo │   └── model.pth
-    echo └── openpose/
-    echo     └── models/
+    echo ├── openpose/
+    echo │   └── models/
+    echo │       └── pose/
+    echo │           └── coco/
+    echo │               └── pose_iter_584000.caffemodel
+    echo └── hyperIQA/
+    echo     └── pretrained/
+    echo         └── hyperIQA.pth
     exit /b 1
 )