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  1. 00406/img-mean-std-00406003.npy +3 -0
  2. 00406/img-mean-std-00406004.npy +3 -0
  3. 00406/img-mean-std-00406015.npy +3 -0
  4. 00406/img-mean-std-00406031.npy +3 -0
  5. 00406/img-mean-std-00406036.npy +3 -0
  6. 00406/img-mean-std-00406038.npy +3 -0
  7. 00406/img-mean-std-00406043.npy +3 -0
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  9. 00406/img-mean-std-00406067.npy +3 -0
  10. 00406/img-mean-std-00406069.npy +3 -0
  11. 00406/img-mean-std-00406071.npy +3 -0
  12. 00406/img-mean-std-00406076.npy +3 -0
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  14. 00406/img-mean-std-00406092.npy +3 -0
  15. 00406/img-mean-std-00406112.npy +3 -0
  16. 00406/img-mean-std-00406115.npy +3 -0
  17. 00406/img-mean-std-00406120.npy +3 -0
  18. 00406/img-mean-std-00406127.npy +3 -0
  19. 00406/img-mean-std-00406129.npy +3 -0
  20. 00406/img-mean-std-00406138.npy +3 -0
  21. 00406/img-mean-std-00406144.npy +3 -0
  22. 00406/img-mean-std-00406152.npy +3 -0
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  24. 00406/img-mean-std-00406167.npy +3 -0
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  26. 00406/img-mean-std-00406183.npy +3 -0
  27. 00406/img-mean-std-00406184.npy +3 -0
  28. 00406/img-mean-std-00406192.npy +3 -0
  29. 00406/img-mean-std-00406195.npy +3 -0
  30. 00406/img-mean-std-00406202.npy +3 -0
  31. 00406/img-mean-std-00406205.npy +3 -0
  32. 00406/img-mean-std-00406228.npy +3 -0
  33. 00406/img-mean-std-00406230.npy +3 -0
  34. 00406/img-mean-std-00406237.npy +3 -0
  35. 00406/img-mean-std-00406239.npy +3 -0
  36. 00406/img-mean-std-00406242.npy +3 -0
  37. 00406/img-mean-std-00406245.npy +3 -0
  38. 00406/img-mean-std-00406253.npy +3 -0
  39. 00406/img-mean-std-00406254.npy +3 -0
  40. 00406/img-mean-std-00406270.npy +3 -0
  41. 00406/img-mean-std-00406279.npy +3 -0
  42. 00406/img-mean-std-00406282.npy +3 -0
  43. 00406/img-mean-std-00406293.npy +3 -0
  44. 00406/img-mean-std-00406294.npy +3 -0
  45. 00406/img-mean-std-00406302.npy +3 -0
  46. 00406/img-mean-std-00406313.npy +3 -0
  47. 00406/img-mean-std-00406314.npy +3 -0
  48. 00406/img-mean-std-00406321.npy +3 -0
  49. 00406/img-mean-std-00406326.npy +3 -0
  50. 00406/img-mean-std-00406328.npy +3 -0
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