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进入环境

conda activate MEGA

代码目录

  • MultiRef/Alchemist_det.py 执行Alchemist算法,结果写入AlchemistOut
    • python Alchemist_det.py -m DFF -w 1
  • MultiRef/concatAlchemist.py 拼接所有单视频结果并生成.pth文件供准确率测试
    • python concatAlchemist.py -m DFF -w 1
  • mega.pytorch/tools/test_prediction_VID.py 输入555个test视频的结果输出准确率
    • python tools/test_prediction_VID.py -p ../MultiRef/AlchemistOut/baseDFF/1I1P/Alchemist1I3P.pth -ms

文件夹解释

  • annoPth 包含DFF,FGFA,MEGA以及GT的检测框结果
  • AlchemistOut 包含Alchmist的结果,包含多个路径如baseMEGA/1I1P/
    • ILSVRC...为单视频的检测结果
    • baseMEGA/1I1P/Alchemist1I1P.pth为合并结果
  • videoInfo 包含复原所需的视频信息,以1I1P/ILSVRC...
    • imageShape.txt 包含图片大小
    • IPlist.txt 包含IPB帧编号
    • MotionVector.txt 包含所有运动矢量
  • FFmpeg 用于生成运动矢量的源代码文件
  • ILSVRC2015 原数据集
  • scriptsBak 包含一些用不到的脚本
    • generateMVs.py 生成所有视频的videoInfo
    • testMV.py 测试运动矢量是否合规
    • recoverFrame.py 根据运动矢量还原图片
    • transformPrediction.py 将gt转换为gtPrediction.pt的格式

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