86 lines
2.6 KiB
Bash
Executable File
86 lines
2.6 KiB
Bash
Executable File
#!/bin/bash
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# Epoch 23评估脚本 - 用于新Docker容器
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set -e
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export PATH=/opt/conda/bin:$PATH
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export LD_LIBRARY_PATH=/opt/conda/lib/python3.8/site-packages/torch/lib:/opt/conda/lib:/usr/local/cuda/lib64:$LD_LIBRARY_PATH
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export PYTHONPATH=/workspace/bevfusion:$PYTHONPATH
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cd /workspace/bevfusion
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echo "========================================================================"
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echo "Phase 3 Epoch 23 评估 (新Docker容器)"
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echo "========================================================================"
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echo "Checkpoint: epoch_23.pth"
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echo "配置: Phase 3 Enhanced BEV Segmentation"
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echo "========================================================================"
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echo ""
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# 创建评估输出目录
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EVAL_DIR="eval_results/epoch23_new_docker_$(date +%Y%m%d_%H%M%S)"
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mkdir -p "$EVAL_DIR"
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CONFIG="configs/nuscenes/det/transfusion/secfpn/camera+lidar/swint_v0p075/multitask_enhanced_phase1_HIGHRES.yaml"
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CHECKPOINT="runs/enhanced_from_epoch19/epoch_23.pth"
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echo "配置文件: $CONFIG"
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echo "Checkpoint: $CHECKPOINT"
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echo "输出目录: $EVAL_DIR"
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echo ""
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# 检查文件存在
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if [ ! -f "$CONFIG" ]; then
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echo "❌ 配置文件不存在: $CONFIG"
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exit 1
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fi
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if [ ! -f "$CHECKPOINT" ]; then
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echo "❌ Checkpoint不存在: $CHECKPOINT"
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exit 1
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fi
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echo "✓ 文件检查通过"
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echo ""
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# 检查GPU
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GPU_COUNT=$(python -c "import torch; print(torch.cuda.device_count())")
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echo "可用GPU数量: $GPU_COUNT"
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echo ""
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echo "开始评估..."
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echo "预计时间: 2-3小时"
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echo "日志文件: $EVAL_DIR/eval.log"
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echo ""
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# 使用所有可用GPU进行分布式评估
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/opt/conda/bin/torchpack dist-run -np $GPU_COUNT /opt/conda/bin/python tools/test.py \
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"$CONFIG" \
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"$CHECKPOINT" \
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--eval bbox \
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--out "$EVAL_DIR/results.pkl" \
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--cfg-options data.workers_per_gpu=4 data.samples_per_gpu=1 \
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2>&1 | tee "$EVAL_DIR/eval.log"
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echo ""
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echo "========================================================================"
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echo "评估完成！"
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echo "========================================================================"
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echo "结果文件: $EVAL_DIR/results.pkl"
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echo "日志文件: $EVAL_DIR/eval.log"
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echo ""
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echo "========================================================================"
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echo "性能指标摘要:"
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echo "========================================================================"
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grep -E "(NDS|mAP|mIoU|Car|Pedestrian)" "$EVAL_DIR/eval.log" | grep -v "UserWarning" | tail -50
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echo ""
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echo "详细结果请查看: $EVAL_DIR/eval.log"
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echo ""
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echo "结果已保存在共享目录，训练Docker也可以访问！"
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echo "========================================================================"
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