bev-project/archive_scripts/start_phase4a_direct.sh

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#!/bin/bash
export PATH=/opt/conda/bin:$PATH
cd /workspace/bevfusion
echo "========================================================================"
echo "Phase 4A: BEV 2x训练启动"
echo "========================================================================"
# 检查checkpoint
if [ ! -f "runs/enhanced_from_epoch19/epoch_23.pth" ]; then
echo "❌ epoch_23.pth不存在"
exit 1
fi
echo "✅ 准备就绪"
echo ""
echo "配置信息:"
echo " - BEV分辨率: 0.15m (2x提升)"
echo " - Decoder: [256, 256, 128, 128] (4层)"
echo " - GPU: 6张"
echo " - Epochs: 20"
echo " - 预计时间: 12.5天"
echo ""
nohup torchpack dist-run -np 6 python tools/train.py \
configs/nuscenes/det/transfusion/secfpn/camera+lidar/swint_v0p075/multitask_BEV2X_phase4a.yaml \
--model.encoders.camera.backbone.init_cfg.checkpoint=pretrained/swint-nuimages-pretrained.pth \
--load_from runs/enhanced_from_epoch19/epoch_23.pth \
--run-dir runs/phase4a_bev2x \
> phase4a_bev2x.log 2>&1 &
echo "✅ 训练已启动PID: $!"
echo "日志: phase4a_bev2x.log"
echo "监控: ./monitor_phase4a.sh"