| #!/bin/bash |
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| export PYTHONUNBUFFERED=1 |
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| cd /home/ywan0794/MoGe |
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| source /home/ywan0794/miniconda3/etc/profile.d/conda.sh |
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| conda activate da3 |
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| 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:$LD_LIBRARY_PATH |
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| export PYTHONPATH=$PYTHONPATH:$(pwd) |
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| echo "============================================" |
| echo "Activated conda environment: $CONDA_DEFAULT_ENV" |
| echo "CUDA_HOME: $CUDA_HOME" |
| echo "============================================" |
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| echo "=== GPU Info ===" |
| nvidia-smi |
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| python -c "import torch; print('CUDA available:', torch.cuda.is_available()); print('GPU count:', torch.cuda.device_count()); print('GPU name:', torch.cuda.get_device_name(0))" |
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| TIMESTAMP=$(date +"%Y%m%d_%H%M%S") |
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| DECODER=dualdpt |
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| CKPT="/home/ywan0794/Depth-Anything-3/training/exp/da3_dualdpt_vitl_both/epoch_010.pth" |
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| OUT_DIR="eval_output" |
| mkdir -p $OUT_DIR |
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| echo "============================================" |
| echo "Starting MoGe Evaluation for DA3+DualDPT at $(date)" |
| echo "Decoder: $DECODER" |
| echo "Checkpoint: $CKPT" |
| echo "Output: ${OUT_DIR}/da3_dualdpt.json" |
| echo "============================================" |
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| python moge/scripts/eval_baseline.py \ |
| --baseline baselines/da3_custom.py \ |
| --config /home/ywan0794/datasets/eval/moge_style_eval/all_benchmarks.json \ |
| --output ${OUT_DIR}/da3_dualdpt_${TIMESTAMP}.json \ |
| --repo /home/ywan0794/Depth-Anything-3 \ |
| --checkpoint "$CKPT" \ |
| --decoder $DECODER |
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| echo "============================================" |
| echo "Evaluation completed at $(date)" |
| echo "============================================" |
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