Update
This commit is contained in:
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b805846fb7
@ -32,6 +32,11 @@ REM 安装gdown
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python -m pip install --upgrade pip
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python -m pip install gdown
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REM 添加目录存在性检查
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if not exist "%PROJECT_DIR%\ext" mkdir "%PROJECT_DIR%\ext"
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if not exist "%PROJECT_DIR%\cache" mkdir "%PROJECT_DIR%\cache"
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if not exist "%PROJECT_DIR%\resource" mkdir "%PROJECT_DIR%\resource"
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REM 下载 NeuralHaircut 模型文件
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cd "%PROJECT_DIR%\resource\NeuralHaircut"
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python -m gdown --folder https://drive.google.com/drive/folders/1TCdJ0CKR3Q6LviovndOkJaKm8S1T9F_8
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32
install.bat
32
install.bat
@ -1,18 +1,18 @@
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@echo off
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REM 设置环境变量
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SET CUDA_HOME="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8"
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SET PATH="%CUDA_HOME%\bin;%PATH%"
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SET BLENDER_DIR="C:\Program Files\Blender Foundation\Blender 3.6"
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SET VS_DIR="C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools"
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SET VS_VCVARS="%VS_DIR%\VC\Auxiliary\Build\vcvars64.bat"
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SET PROJECT_DIR=%~dp0
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SET MICROMAMBA_EXE=%~dp0micromamba.exe
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SET MAMBA_ROOT_PREFIX=%PROJECT_DIR%\micromamba
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SET PYTHONDONTWRITEBYTECODE=1
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SET GDOWN_CACHE=cache\gdown
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SET TORCH_HOME=cache\torch
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SET HF_HOME=cache\huggingface
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REM 统一环境变量设置格式
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set "PROJECT_DIR=%~dp0"
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set "CUDA_HOME=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8"
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set "PATH=%CUDA_HOME%\bin;%PATH%"
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set "BLENDER_DIR=C:\Program Files\Blender Foundation\Blender 3.6"
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set "VS_DIR=C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools"
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set "VS_VCVARS=%VS_DIR%\VC\Auxiliary\Build\vcvars64.bat"
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set "MICROMAMBA_EXE=%PROJECT_DIR%micromamba.exe"
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set "MAMBA_ROOT_PREFIX=%PROJECT_DIR%micromamba"
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set "PYTHONDONTWRITEBYTECODE=1"
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set "GDOWN_CACHE=%PROJECT_DIR%\cache\gdown"
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set "TORCH_HOME=%PROJECT_DIR%\cache\torch"
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set "HF_HOME=%PROJECT_DIR%\cache\huggingface"
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REM 拉取所有外部库
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mkdir ext
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@ -52,14 +52,11 @@ REM 创建 OpenPose 环境
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%MICROMAMBA_EXE% create -y -p %MAMBA_ROOT_PREFIX%\envs\openpose python=3.9
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\openpose
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pip install -r requirements_openpose.txt
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CALL %MICROMAMBA_EXE% deactivate
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REM 从resource文件夹拷贝Neural Haircut文件
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xcopy /E /I /Y %PROJECT_DIR%\resource\NeuralHaircut %PROJECT_DIR%\ext\NeuralHaircut
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xcopy /E /I /Y %PROJECT_DIR%\resource\hyperIQA\pretrained %PROJECT_DIR%\ext\hyperIQA\pretrained
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cd %PROJECT_DIR%
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REM 退出环境
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REM 退出 OpenPose 环境
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CALL %MICROMAMBA_EXE% deactivate
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REM Matte-Anything
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@ -113,7 +110,6 @@ CALL %MICROMAMBA_EXE% deactivate
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REM PIXIE
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cd %PROJECT_DIR%\ext && git clone https://github.com/yfeng95/PIXIE
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cd %PROJECT_DIR%\ext\PIXIE
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REM 创建data目录
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mkdir data 2>nul
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cd data
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@ -38,3 +38,9 @@ resize-right==0.0.2
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-e ./ext/simple-knn
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-e ./ext/diff_gaussian_rasterization_hair
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-e ./ext/kaolin
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# Development tools
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pytest
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black
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flake8
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ipython
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49
run.bat
49
run.bat
@ -11,6 +11,7 @@ SET EXP_NAME_2=stage2
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SET EXP_NAME_3=stage3
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SET BLENDER_DIR="C:\Program Files\Blender Foundation\Blender 3.6"
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SET CUDA_HOME="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8"
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set "PATH=%CUDA_HOME%\bin;%PATH%"
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REM 确保以下环境变量可用:
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REM PROJECT_DIR 和 DATA_PATH
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@ -54,7 +55,7 @@ REM 添加进度显示
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echo [1/3] 预处理阶段开始...
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REM 将原始图像整理成3D Gaussian Splatting格式
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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cd %PROJECT_DIR%\src\preprocessing
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python preprocess_raw_images.py --data_path %DATA_PATH%
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@ -64,7 +65,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 运行COLMAP重建并去畸变图像和相机
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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pushd %PROJECT_DIR%\src
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python convert.py -s %DATA_PATH% --camera %CAMERA% --max_size 1024
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@ -75,7 +76,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 运行Matte-Anything
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\matte_anything
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\matte_anything
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cd %PROJECT_DIR%\src\preprocessing
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python calc_masks.py --data_path %DATA_PATH% --image_format png --max_size 2048
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@ -85,7 +86,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 使用IQA分数过滤图像
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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cd %PROJECT_DIR%\src\preprocessing
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python filter_extra_images.py --data_path %DATA_PATH% --max_imgs 128
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@ -95,7 +96,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 调整图像大小
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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cd %PROJECT_DIR%\src\preprocessing
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python resize_images.py --data_path %DATA_PATH%
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@ -105,7 +106,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 计算方向图
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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cd %PROJECT_DIR%\src\preprocessing
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python calc_orientation_maps.py --img_path %DATA_PATH%\images_2 --mask_path %DATA_PATH%\masks_2\hair --orient_dir %DATA_PATH%\orientations_2\angles --conf_dir %DATA_PATH%\orientations_2\vars --filtered_img_dir %DATA_PATH%\orientations_2\filtered_imgs --vis_img_dir %DATA_PATH%\orientations_2\vis_imgs
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@ -115,7 +116,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 运行OpenPose
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\openpose
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\openpose
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cd %PROJECT_DIR%\ext\openpose
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mkdir %DATA_PATH%\openpose
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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@ -126,7 +127,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 运行Face-Alignment
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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cd %PROJECT_DIR%\src\preprocessing
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python calc_face_alignment.py --data_path %DATA_PATH% --image_dir "images_4"
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@ -136,7 +137,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 运行PIXIE
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\pixie-env
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\pixie-env
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cd %PROJECT_DIR%\ext\PIXIE
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python demos\demo_fit_face.py -i %DATA_PATH%\images_4 -s %DATA_PATH%\pixie --saveParam True --lightTex False --useTex False --rasterizer_type pytorch3d
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@ -146,7 +147,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 合并所有PIXIE预测到单个文件
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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cd %PROJECT_DIR%\src\preprocessing
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python merge_smplx_predictions.py --data_path %DATA_PATH%
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@ -156,7 +157,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 将COLMAP相机转换为txt
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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mkdir %DATA_PATH%\sparse_txt
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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colmap model_converter --input_path %DATA_PATH%\sparse\0 --output_path %DATA_PATH%\sparse_txt --output_type TXT
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@ -166,7 +167,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 将COLMAP相机转换为H3DS格式
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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cd %PROJECT_DIR%\src\preprocessing
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python colmap_parsing.py --path_to_scene %DATA_PATH%
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@ -195,7 +196,7 @@ echo [2/3] 重建阶段开始...
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set EXP_PATH_1=%DATA_PATH%\3d_gaussian_splatting\%EXP_NAME_1%
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REM 运行3D Gaussian Splatting重建
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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cd %PROJECT_DIR%\src
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python train_gaussians.py -s %DATA_PATH% -m "%EXP_PATH_1%" -r 1 --port "888%CUDA_VISIBLE_DEVICES%" --trainable_cameras --trainable_intrinsics --use_barf --lambda_dorient 0.1
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@ -205,7 +206,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 运行FLAME网格拟合
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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cd %PROJECT_DIR%\ext\NeuralHaircut\src\multiview_optimization
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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@ -228,7 +229,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 裁剪重建的场景
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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cd %PROJECT_DIR%\src\preprocessing
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python scale_scene_into_sphere.py --path_to_data %DATA_PATH% -m "%DATA_PATH%\3d_gaussian_splatting\%EXP_NAME_1%" --iter 30000
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@ -238,7 +239,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 移除与FLAME头部网格相交的头发高斯体
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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cd %PROJECT_DIR%\src\preprocessing
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python filter_flame_intersections.py --flame_mesh_dir %DATA_PATH%\flame_fitting\%EXP_NAME_1% -m "%DATA_PATH%\3d_gaussian_splatting\%EXP_NAME_1%" --iter 30000 --project_dir %PROJECT_DIR%\ext\NeuralHaircut
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@ -248,7 +249,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 为训练视图运行渲染
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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cd %PROJECT_DIR%\src
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python render_gaussians.py -s %DATA_PATH% -m "%DATA_PATH%\3d_gaussian_splatting\%EXP_NAME_1%" --skip_test --scene_suffix "_cropped" --iteration 30000 --trainable_cameras --trainable_intrinsics --use_barf
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@ -258,7 +259,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 获取FLAME网格头皮图
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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cd %PROJECT_DIR%\src\preprocessing
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python extract_non_visible_head_scalp.py --project_dir %PROJECT_DIR%\ext\NeuralHaircut --data_dir %DATA_PATH% --flame_mesh_dir %DATA_PATH%\flame_fitting\%EXP_NAME_1% --cams_path %DATA_PATH%\3d_gaussian_splatting\%EXP_NAME_1%\cameras\30000_matrices.pkl -m "%DATA_PATH%\3d_gaussian_splatting\%EXP_NAME_1%"
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@ -268,7 +269,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 运行潜在头发股线重建
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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cd %PROJECT_DIR%\src
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python train_latent_strands.py -s %DATA_PATH% -m "%DATA_PATH%\3d_gaussian_splatting\%EXP_NAME_1%" -r 1 --model_path_hair "%DATA_PATH%\strands_reconstruction\%EXP_NAME_2%" --flame_mesh_dir "%DATA_PATH%\flame_fitting\%EXP_NAME_1%" --pointcloud_path_head "%EXP_PATH_1%\point_cloud_filtered\iteration_30000\raw_point_cloud.ply" --hair_conf_path "%PROJECT_DIR%\src\arguments\hair_strands_textured.yaml" --lambda_dmask 0.1 --lambda_dorient 0.1 --lambda_dsds 0.01 --load_synthetic_rgba --load_synthetic_geom --binarize_masks --iteration_data 30000 --trainable_cameras --trainable_intrinsics --use_barf --iterations 20000 --port "800%CUDA_VISIBLE_DEVICES%"
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@ -278,7 +279,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 运行头发股线重建
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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cd %PROJECT_DIR%\src
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python train_strands.py -s %DATA_PATH% -m "%DATA_PATH%\3d_gaussian_splatting\%EXP_NAME_1%" -r 1 --model_path_curves "%DATA_PATH%\curves_reconstruction\%EXP_NAME_3%" --flame_mesh_dir "%DATA_PATH%\flame_fitting\%EXP_NAME_1%" --pointcloud_path_head "%EXP_PATH_1%\point_cloud_filtered\iteration_30000\raw_point_cloud.ply" --start_checkpoint_hair "%DATA_PATH%\strands_reconstruction\%EXP_NAME_2%\checkpoints\20000.pth" --hair_conf_path "%PROJECT_DIR%\src\arguments\hair_strands_textured.yaml" --lambda_dmask 0.1 --lambda_dorient 0.1 --lambda_dsds 0.01 --load_synthetic_rgba --load_synthetic_geom --binarize_masks --iteration_data 30000 --position_lr_init 0.0000016 --position_lr_max_steps 10000 --trainable_cameras --trainable_intrinsics --use_barf --iterations 10000 --port "800%CUDA_VISIBLE_DEVICES%"
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@ -301,7 +302,7 @@ REM 添加进度显示
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echo [3/3] 可视化阶段开始...
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REM 导出结果的股线为pkl和ply格式
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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cd %PROJECT_DIR%\src\preprocessing
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python export_curves.py --data_dir %DATA_PATH% --model_name %EXP_NAME_3% --iter 10000 --flame_mesh_path "%DATA_PATH%\flame_fitting\%EXP_NAME_1%\stage_3\mesh_final.obj" --scalp_mesh_path "%DATA_PATH%\flame_fitting\%EXP_NAME_1%\scalp_data\scalp.obj" --hair_conf_path "%PROJECT_DIR%\src\arguments\hair_strands_textured.yaml"
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@ -311,7 +312,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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REM 渲染可视化
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CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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cd %PROJECT_DIR%\src\postprocessing
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set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
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python render_video.py --blender_path "%BLENDER_DIR%" --input_path "%DATA_PATH%" --exp_name_1 "%EXP_NAME_1%" --exp_name_3 "%EXP_NAME_3%"
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@ -321,7 +322,7 @@ IF %ERRORLEVEL% NEQ 0 (
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)
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||||
|
||||
REM 渲染股线
|
||||
CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
|
||||
CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
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||||
cd %PROJECT_DIR%\src
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||||
set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
|
||||
python render_strands.py -s %DATA_PATH% --data_dir "%DATA_PATH%" --data_device 'cpu' --skip_test -m "%DATA_PATH%\3d_gaussian_splatting\%EXP_NAME_1%" --iteration 30000 --flame_mesh_dir "%DATA_PATH%\flame_fitting\%EXP_NAME_1%" --model_hair_path "%DATA_PATH%\curves_reconstruction\%EXP_NAME_3%" --hair_conf_path "%PROJECT_DIR%\src\arguments\hair_strands_textured.yaml" --checkpoint_hair "%DATA_PATH%\strands_reconstruction\%EXP_NAME_2%\checkpoints\20000.pth" --checkpoint_curves "%DATA_PATH%\curves_reconstruction\%EXP_NAME_3%\checkpoints\10000.pth" --pointcloud_path_head "%EXP_PATH_1%\point_cloud\iteration_30000\raw_point_cloud.ply" --interpolate_cameras
|
||||
@ -331,7 +332,7 @@ IF %ERRORLEVEL% NEQ 0 (
|
||||
)
|
||||
|
||||
REM 制作视频
|
||||
CALL "%MICROMAMBA_EXE%" activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
|
||||
CALL %MICROMAMBA_EXE% activate -p %MAMBA_ROOT_PREFIX%\envs\gaussian_splatting_hair
|
||||
cd %PROJECT_DIR%\src\postprocessing
|
||||
echo 正在生成最终视频...
|
||||
set CUDA_VISIBLE_DEVICES=%CUDA_VISIBLE_DEVICES%
|
||||
|
||||
Loading…
Reference in New Issue
Block a user