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  1. 00136/img-mean-std-00136001.npy +3 -0
  2. 00136/img-mean-std-00136011.npy +3 -0
  3. 00136/img-mean-std-00136016.npy +3 -0
  4. 00136/img-mean-std-00136018.npy +3 -0
  5. 00136/img-mean-std-00136023.npy +3 -0
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  7. 00136/img-mean-std-00136046.npy +3 -0
  8. 00136/img-mean-std-00136051.npy +3 -0
  9. 00136/img-mean-std-00136058.npy +3 -0
  10. 00136/img-mean-std-00136063.npy +3 -0
  11. 00136/img-mean-std-00136064.npy +3 -0
  12. 00136/img-mean-std-00136080.npy +3 -0
  13. 00136/img-mean-std-00136089.npy +3 -0
  14. 00136/img-mean-std-00136090.npy +3 -0
  15. 00136/img-mean-std-00136097.npy +3 -0
  16. 00136/img-mean-std-00136099.npy +3 -0
  17. 00136/img-mean-std-00136100.npy +3 -0
  18. 00136/img-mean-std-00136107.npy +3 -0
  19. 00136/img-mean-std-00136110.npy +3 -0
  20. 00136/img-mean-std-00136119.npy +3 -0
  21. 00136/img-mean-std-00136132.npy +3 -0
  22. 00136/img-mean-std-00136135.npy +3 -0
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  24. 00136/img-mean-std-00136147.npy +3 -0
  25. 00136/img-mean-std-00136149.npy +3 -0
  26. 00136/img-mean-std-00136150.npy +3 -0
  27. 00136/img-mean-std-00136157.npy +3 -0
  28. 00136/img-mean-std-00136162.npy +3 -0
  29. 00136/img-mean-std-00136165.npy +3 -0
  30. 00136/img-mean-std-00136175.npy +3 -0
  31. 00136/img-mean-std-00136186.npy +3 -0
  32. 00136/img-mean-std-00136191.npy +3 -0
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  34. 00136/img-mean-std-00136198.npy +3 -0
  35. 00136/img-mean-std-00136209.npy +3 -0
  36. 00136/img-mean-std-00136210.npy +3 -0
  37. 00136/img-mean-std-00136217.npy +3 -0
  38. 00136/img-mean-std-00136222.npy +3 -0
  39. 00136/img-mean-std-00136225.npy +3 -0
  40. 00136/img-mean-std-00136240.npy +3 -0
  41. 00136/img-mean-std-00136250.npy +3 -0
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  48. 00136/img-mean-std-00136288.npy +3 -0
  49. 00136/img-mean-std-00136291.npy +3 -0
  50. 00136/img-mean-std-00136301.npy +3 -0
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