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  1. 00462/img-mean-std-00462001.npy +3 -0
  2. 00462/img-mean-std-00462008.npy +3 -0
  3. 00462/img-mean-std-00462022.npy +3 -0
  4. 00462/img-mean-std-00462023.npy +3 -0
  5. 00462/img-mean-std-00462033.npy +3 -0
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  7. 00462/img-mean-std-00462041.npy +3 -0
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  9. 00462/img-mean-std-00462048.npy +3 -0
  10. 00462/img-mean-std-00462059.npy +3 -0
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  13. 00462/img-mean-std-00462088.npy +3 -0
  14. 00462/img-mean-std-00462090.npy +3 -0
  15. 00462/img-mean-std-00462097.npy +3 -0
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  17. 00462/img-mean-std-00462101.npy +3 -0
  18. 00462/img-mean-std-00462106.npy +3 -0
  19. 00462/img-mean-std-00462110.npy +3 -0
  20. 00462/img-mean-std-00462117.npy +3 -0
  21. 00462/img-mean-std-00462119.npy +3 -0
  22. 00462/img-mean-std-00462122.npy +3 -0
  23. 00462/img-mean-std-00462125.npy +3 -0
  24. 00462/img-mean-std-00462150.npy +3 -0
  25. 00462/img-mean-std-00462157.npy +3 -0
  26. 00462/img-mean-std-00462159.npy +3 -0
  27. 00462/img-mean-std-00462162.npy +3 -0
  28. 00462/img-mean-std-00462165.npy +3 -0
  29. 00462/img-mean-std-00462181.npy +3 -0
  30. 00462/img-mean-std-00462186.npy +3 -0
  31. 00462/img-mean-std-00462188.npy +3 -0
  32. 00462/img-mean-std-00462200.npy +3 -0
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  34. 00462/img-mean-std-00462209.npy +3 -0
  35. 00462/img-mean-std-00462210.npy +3 -0
  36. 00462/img-mean-std-00462211.npy +3 -0
  37. 00462/img-mean-std-00462216.npy +3 -0
  38. 00462/img-mean-std-00462240.npy +3 -0
  39. 00462/img-mean-std-00462247.npy +3 -0
  40. 00462/img-mean-std-00462249.npy +3 -0
  41. 00462/img-mean-std-00462272.npy +3 -0
  42. 00462/img-mean-std-00462275.npy +3 -0
  43. 00462/img-mean-std-00462291.npy +3 -0
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  48. 00462/img-mean-std-00462318.npy +3 -0
  49. 00462/img-mean-std-00462323.npy +3 -0
  50. 00462/img-mean-std-00462324.npy +3 -0
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