File size: 2,405 Bytes
45b0ed8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 | #!/bin/bash
#SBATCH --job-name=moge-da3-sdt
#SBATCH --output=moge_da3_sdt_%j.log
#SBATCH --error=moge_da3_sdt_%j.log
#SBATCH --open-mode=append
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=4
#SBATCH --gres=gpu:1
#SBATCH --time=1-00:00:00
#SBATCH --mem=60G
#SBATCH --nodelist=hades
# 禁用Python输出缓冲
export PYTHONUNBUFFERED=1
# 进入MoGe目录
cd /home/ywan0794/MoGe
# 初始化并激活conda环境
source /home/ywan0794/miniconda3/etc/profile.d/conda.sh
# 激活环境
conda activate da3
# 设置 CUDA 环境变量
export CUDA_HOME=$CONDA_PREFIX
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$CONDA_PREFIX/lib/python3.10/site-packages/torch/lib:$LD_LIBRARY_PATH
# 设置Python路径
export PYTHONPATH=$PYTHONPATH:$(pwd)
# 确认环境
echo "============================================"
echo "Activated conda environment: $CONDA_DEFAULT_ENV"
echo "CUDA_HOME: $CUDA_HOME"
echo "============================================"
# 显示GPU信息
echo "=== GPU Info ==="
nvidia-smi
# 检查CUDA是否可用
python -c "import torch; print('CUDA available:', torch.cuda.is_available()); print('GPU count:', torch.cuda.device_count()); print('GPU name:', torch.cuda.get_device_name(0))"
# ============================================
# 评估配置
# ============================================
TIMESTAMP=$(date +"%Y%m%d_%H%M%S")
# 模型配置
DECODER=sdt
# Checkpoint路径
CKPT="/home/ywan0794/Depth-Anything-3/training/exp/da3_sdt_vitl_both/epoch_010.pth"
# 输出目录
OUT_DIR="eval_output"
mkdir -p $OUT_DIR
echo "============================================"
echo "Starting MoGe Evaluation for DA3+SDT at $(date)"
echo "Decoder: $DECODER"
echo "Checkpoint: $CKPT"
echo "Output: ${OUT_DIR}/da3_sdt.json"
echo "============================================"
# ============================================
# 运行评估
# ============================================
python moge/scripts/eval_baseline.py \
--baseline baselines/da3_custom.py \
--config /home/ywan0794/datasets/eval/moge_style_eval/all_benchmarks.json \
--output ${OUT_DIR}/da3_sdt_${TIMESTAMP}.json \
--repo /home/ywan0794/Depth-Anything-3 \
--checkpoint "$CKPT" \
--decoder $DECODER
echo "============================================"
echo "Evaluation completed at $(date)"
echo "============================================"
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