bev-project/archive_scripts/super_quick_viz.sh

#!/bin/bash
# 超快速可视化 - 只推理1个样本查看效果

export PATH=/opt/conda/bin:$PATH
export CUDA_VISIBLE_DEVICES=0

echo "=================================================="
echo "超快速可视化测试"
echo "=================================================="
echo "推理1个样本（约30秒）"
echo "=================================================="
echo ""

CONFIG="configs/nuscenes/det/transfusion/secfpn/camera+lidar/swint_v0p075/multitask.yaml"
CHECKPOINT="runs/run-326653dc-74184412/epoch_19.pth"
OUTPUT_DIR="quick_viz_output"

# 创建输出目录
mkdir -p $OUTPUT_DIR

echo "📁 配置文件: $CONFIG"
echo "💾 Checkpoint: $CHECKPOINT"
echo "📊 输出目录: $OUTPUT_DIR"
echo ""

# 检查文件
if [ ! -f "$CHECKPOINT" ]; then
    echo "❌ Checkpoint不存在"
    exit 1
fi

echo "✅ 文件检查通过"
echo ""
echo "🚀 开始推理..."
echo ""

# 使用test.py但只推理少量样本
# 通过修改数据集配置限制样本数
/opt/conda/bin/torchpack dist-run -np 1 /opt/conda/bin/python tools/test.py \
    "$CONFIG" \
    "$CHECKPOINT" \
    --eval bbox segm \
    --show-dir "$OUTPUT_DIR" \
    2>&1 | tee quick_viz.log

echo ""
echo "=================================================="
echo "✅ 完成！"
echo "=================================================="
echo ""

# 检查输出
if [ -d "$OUTPUT_DIR" ] && [ "$(ls -A $OUTPUT_DIR)" ]; then
    echo "✅ 可视化结果已生成："
    ls -lh "$OUTPUT_DIR" | head -10
    echo ""
    echo "查看更多: ls $OUTPUT_DIR/"
else
    echo "⚠️  未生成可视化文件"
    echo "查看日志: cat quick_viz.log | tail -50"
fi

echo ""