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  1. 00406/img-mean-std-00406001.npy +3 -0
  2. 00406/img-mean-std-00406006.npy +3 -0
  3. 00406/img-mean-std-00406008.npy +3 -0
  4. 00406/img-mean-std-00406033.npy +3 -0
  5. 00406/img-mean-std-00406034.npy +3 -0
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  7. 00406/img-mean-std-00406046.npy +3 -0
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  9. 00406/img-mean-std-00406065.npy +3 -0
  10. 00406/img-mean-std-00406073.npy +3 -0
  11. 00406/img-mean-std-00406074.npy +3 -0
  12. 00406/img-mean-std-00406090.npy +3 -0
  13. 00406/img-mean-std-00406097.npy +3 -0
  14. 00406/img-mean-std-00406099.npy +3 -0
  15. 00406/img-mean-std-00406110.npy +3 -0
  16. 00406/img-mean-std-00406117.npy +3 -0
  17. 00406/img-mean-std-00406119.npy +3 -0
  18. 00406/img-mean-std-00406122.npy +3 -0
  19. 00406/img-mean-std-00406125.npy +3 -0
  20. 00406/img-mean-std-00406150.npy +3 -0
  21. 00406/img-mean-std-00406157.npy +3 -0
  22. 00406/img-mean-std-00406159.npy +3 -0
  23. 00406/img-mean-std-00406162.npy +3 -0
  24. 00406/img-mean-std-00406165.npy +3 -0
  25. 00406/img-mean-std-00406181.npy +3 -0
  26. 00406/img-mean-std-00406186.npy +3 -0
  27. 00406/img-mean-std-00406188.npy +3 -0
  28. 00406/img-mean-std-00406190.npy +3 -0
  29. 00406/img-mean-std-00406200.npy +3 -0
  30. 00406/img-mean-std-00406207.npy +3 -0
  31. 00406/img-mean-std-00406209.npy +3 -0
  32. 00406/img-mean-std-00406224.npy +3 -0
  33. 00406/img-mean-std-00406232.npy +3 -0
  34. 00406/img-mean-std-00406235.npy +3 -0
  35. 00406/img-mean-std-00406240.npy +3 -0
  36. 00406/img-mean-std-00406247.npy +3 -0
  37. 00406/img-mean-std-00406249.npy +3 -0
  38. 00406/img-mean-std-00406272.npy +3 -0
  39. 00406/img-mean-std-00406275.npy +3 -0
  40. 00406/img-mean-std-00406291.npy +3 -0
  41. 00406/img-mean-std-00406296.npy +3 -0
  42. 00406/img-mean-std-00406298.npy +3 -0
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  46. 00406/img-mean-std-00406323.npy +3 -0
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  48. 00406/img-mean-std-00406351.npy +3 -0
  49. 00406/img-mean-std-00406356.npy +3 -0
  50. 00406/img-mean-std-00406358.npy +3 -0
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