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  1. 00832/img-mean-std-00832011.npy +3 -0
  2. 00832/img-mean-std-00832016.npy +3 -0
  3. 00832/img-mean-std-00832018.npy +3 -0
  4. 00832/img-mean-std-00832023.npy +3 -0
  5. 00832/img-mean-std-00832024.npy +3 -0
  6. 00832/img-mean-std-00832032.npy +3 -0
  7. 00832/img-mean-std-00832040.npy +3 -0
  8. 00832/img-mean-std-00832047.npy +3 -0
  9. 00832/img-mean-std-00832051.npy +3 -0
  10. 00832/img-mean-std-00832056.npy +3 -0
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  12. 00832/img-mean-std-00832063.npy +3 -0
  13. 00832/img-mean-std-00832064.npy +3 -0
  14. 00832/img-mean-std-00832080.npy +3 -0
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  16. 00832/img-mean-std-00832087.npy +3 -0
  17. 00832/img-mean-std-00832089.npy +3 -0
  18. 00832/img-mean-std-00832091.npy +3 -0
  19. 00832/img-mean-std-00832096.npy +3 -0
  20. 00832/img-mean-std-00832100.npy +3 -0
  21. 00832/img-mean-std-00832107.npy +3 -0
  22. 00832/img-mean-std-00832109.npy +3 -0
  23. 00832/img-mean-std-00832116.npy +3 -0
  24. 00832/img-mean-std-00832118.npy +3 -0
  25. 00832/img-mean-std-00832132.npy +3 -0
  26. 00832/img-mean-std-00832135.npy +3 -0
  27. 00832/img-mean-std-00832147.npy +3 -0
  28. 00832/img-mean-std-00832149.npy +3 -0
  29. 00832/img-mean-std-00832164.npy +3 -0
  30. 00832/img-mean-std-00832172.npy +3 -0
  31. 00832/img-mean-std-00832175.npy +3 -0
  32. 00832/img-mean-std-00832176.npy +3 -0
  33. 00832/img-mean-std-00832196.npy +3 -0
  34. 00832/img-mean-std-00832198.npy +3 -0
  35. 00832/img-mean-std-00832210.npy +3 -0
  36. 00832/img-mean-std-00832217.npy +3 -0
  37. 00832/img-mean-std-00832219.npy +3 -0
  38. 00832/img-mean-std-00832222.npy +3 -0
  39. 00832/img-mean-std-00832225.npy +3 -0
  40. 00832/img-mean-std-00832250.npy +3 -0
  41. 00832/img-mean-std-00832257.npy +3 -0
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  43. 00832/img-mean-std-00832261.npy +3 -0
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  45. 00832/img-mean-std-00832265.npy +3 -0
  46. 00832/img-mean-std-00832273.npy +3 -0
  47. 00832/img-mean-std-00832281.npy +3 -0
  48. 00832/img-mean-std-00832288.npy +3 -0
  49. 00832/img-mean-std-00832301.npy +3 -0
  50. 00832/img-mean-std-00832306.npy +3 -0
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