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  1. 00155/img-mean-std-00155000.npy +3 -0
  2. 00155/img-mean-std-00155007.npy +3 -0
  3. 00155/img-mean-std-00155009.npy +3 -0
  4. 00155/img-mean-std-00155023.npy +3 -0
  5. 00155/img-mean-std-00155035.npy +3 -0
  6. 00155/img-mean-std-00155040.npy +3 -0
  7. 00155/img-mean-std-00155047.npy +3 -0
  8. 00155/img-mean-std-00155049.npy +3 -0
  9. 00155/img-mean-std-00155051.npy +3 -0
  10. 00155/img-mean-std-00155058.npy +3 -0
  11. 00155/img-mean-std-00155072.npy +3 -0
  12. 00155/img-mean-std-00155075.npy +3 -0
  13. 00155/img-mean-std-00155080.npy +3 -0
  14. 00155/img-mean-std-00155087.npy +3 -0
  15. 00155/img-mean-std-00155091.npy +3 -0
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  17. 00155/img-mean-std-00155098.npy +3 -0
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  19. 00155/img-mean-std-00155112.npy +3 -0
  20. 00155/img-mean-std-00155116.npy +3 -0
  21. 00155/img-mean-std-00155118.npy +3 -0
  22. 00155/img-mean-std-00155123.npy +3 -0
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  24. 00155/img-mean-std-00155151.npy +3 -0
  25. 00155/img-mean-std-00155156.npy +3 -0
  26. 00155/img-mean-std-00155158.npy +3 -0
  27. 00155/img-mean-std-00155163.npy +3 -0
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  29. 00155/img-mean-std-00155180.npy +3 -0
  30. 00155/img-mean-std-00155187.npy +3 -0
  31. 00155/img-mean-std-00155189.npy +3 -0
  32. 00155/img-mean-std-00155201.npy +3 -0
  33. 00155/img-mean-std-00155206.npy +3 -0
  34. 00155/img-mean-std-00155208.npy +3 -0
  35. 00155/img-mean-std-00155219.npy +3 -0
  36. 00155/img-mean-std-00155233.npy +3 -0
  37. 00155/img-mean-std-00155234.npy +3 -0
  38. 00155/img-mean-std-00155241.npy +3 -0
  39. 00155/img-mean-std-00155246.npy +3 -0
  40. 00155/img-mean-std-00155248.npy +3 -0
  41. 00155/img-mean-std-00155273.npy +3 -0
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  48. 00155/img-mean-std-00155317.npy +3 -0
  49. 00155/img-mean-std-00155319.npy +3 -0
  50. 00155/img-mean-std-00155321.npy +3 -0
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