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  1. 00023/img-mean-std-00023020.npy +3 -0
  2. 00023/img-mean-std-00023027.npy +3 -0
  3. 00023/img-mean-std-00023029.npy +3 -0
  4. 00023/img-mean-std-00023031.npy +3 -0
  5. 00023/img-mean-std-00023036.npy +3 -0
  6. 00023/img-mean-std-00023038.npy +3 -0
  7. 00023/img-mean-std-00023043.npy +3 -0
  8. 00023/img-mean-std-00023044.npy +3 -0
  9. 00023/img-mean-std-00023055.npy +3 -0
  10. 00023/img-mean-std-00023071.npy +3 -0
  11. 00023/img-mean-std-00023076.npy +3 -0
  12. 00023/img-mean-std-00023084.npy +3 -0
  13. 00023/img-mean-std-00023092.npy +3 -0
  14. 00023/img-mean-std-00023095.npy +3 -0
  15. 00023/img-mean-std-00023103.npy +3 -0
  16. 00023/img-mean-std-00023104.npy +3 -0
  17. 00023/img-mean-std-00023112.npy +3 -0
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  19. 00023/img-mean-std-00023127.npy +3 -0
  20. 00023/img-mean-std-00023129.npy +3 -0
  21. 00023/img-mean-std-00023152.npy +3 -0
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  24. 00023/img-mean-std-00023167.npy +3 -0
  25. 00023/img-mean-std-00023169.npy +3 -0
  26. 00023/img-mean-std-00023171.npy +3 -0
  27. 00023/img-mean-std-00023178.npy +3 -0
  28. 00023/img-mean-std-00023183.npy +3 -0
  29. 00023/img-mean-std-00023184.npy +3 -0
  30. 00023/img-mean-std-00023202.npy +3 -0
  31. 00023/img-mean-std-00023205.npy +3 -0
  32. 00023/img-mean-std-00023213.npy +3 -0
  33. 00023/img-mean-std-00023214.npy +3 -0
  34. 00023/img-mean-std-00023230.npy +3 -0
  35. 00023/img-mean-std-00023239.npy +3 -0
  36. 00023/img-mean-std-00023242.npy +3 -0
  37. 00023/img-mean-std-00023245.npy +3 -0
  38. 00023/img-mean-std-00023266.npy +3 -0
  39. 00023/img-mean-std-00023268.npy +3 -0
  40. 00023/img-mean-std-00023270.npy +3 -0
  41. 00023/img-mean-std-00023277.npy +3 -0
  42. 00023/img-mean-std-00023279.npy +3 -0
  43. 00023/img-mean-std-00023293.npy +3 -0
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  48. 00023/img-mean-std-00023330.npy +3 -0
  49. 00023/img-mean-std-00023337.npy +3 -0
  50. 00023/img-mean-std-00023353.npy +3 -0
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