#!/bin/bash # 初始化 Conda 环境路径 CONDA_BASE=$(conda info --base) source "$CONDA_BASE/etc/profile.d/conda.sh" # 确保主路径在 PYTHONPATH 中 export PYTHONPATH=$PYTHONPATH:/root/autodl-tmp/SplatAtlas # 定义任务队列:(环境绝对路径 脚本相对路径) declare -a tasks=( "/root/autodl-tmp/envs/gaussianpro scripts/run_gaussianpro_benchmark.py" "/root/autodl-tmp/envs/conegs_env scripts/run_conegs_benchmark.py" "/root/autodl-tmp/envs/steepgs_env scripts/run_steepgs.py" "/root/autodl-tmp/envs/absgs_env scripts/run_absgs_benchmark.py" "/root/autodl-tmp/envs/reactgs_env scripts/run_reactgs_benchmark.py" "/root/autodl-tmp/envs/lapis_gs scripts/run_lapisgs_benchmark.py" "/root/autodl-tmp/envs/co_adaptation_3dgs scripts/run_coadaptgs_benchmark.py" "/root/autodl-tmp/envs/mini_splatting scripts/run_minisplatting_benchmark.py" "/root/autodl-tmp/envs/gs_lpm scripts/run_gslpm.py" "/root/autodl-tmp/envs/opti3dgs scripts/run_opti3dgs_benchmark.py" "/root/autodl-tmp/envs/ghap_env scripts/run_ghap_benchmark.py" "/root/autodl-tmp/envs/3dgs_mcmc scripts/run_3dgsmcmc_benchmark.py" # "/root/autodl-tmp/envs/lod_gs scripts/run_lod_gs_benchmark.py" #conegs可能需要重跑,test可能没有被划分 ) echo "🚀 SplatAtlas: Starting Robust Optimization Pipeline..." for task in "${tasks[@]}"; do # 解析环境路径和脚本 read -r env_path script_path <<< "$task" echo "----------------------------------------------------------------" echo "🔄 Method: $(basename "$script_path")" # 1. 激活环境 conda activate "$env_path" if [ $? -eq 0 ]; then # 2. 环境自动体检:添加了 scikit-image 的安装 echo "🛠️ Checking requirements in $env_path..." # 增加 scikit-image 以解决 ModuleNotFoundError: No module named 'skimage' pip install lpips imageio scikit-image -q # 3. 执行 Benchmark echo "✅ Environment ready. Executing..." "$CONDA_PREFIX/bin/python" "/root/autodl-tmp/SplatAtlas/$script_path" if [ $? -eq 0 ]; then echo "✨ Finished: $(basename "$script_path")" else echo "❌ Error: $(basename "$script_path") failed." fi else echo "❌ Failed to activate: $env_path" fi # 释放当前环境 conda deactivate done echo "================================================================" echo "🏁 Optimization Pipeline completed."