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  1. 00406/img-mean-std-00406002.npy +3 -0
  2. 00406/img-mean-std-00406005.npy +3 -0
  3. 00406/img-mean-std-00406028.npy +3 -0
  4. 00406/img-mean-std-00406030.npy +3 -0
  5. 00406/img-mean-std-00406037.npy +3 -0
  6. 00406/img-mean-std-00406042.npy +3 -0
  7. 00406/img-mean-std-00406053.npy +3 -0
  8. 00406/img-mean-std-00406070.npy +3 -0
  9. 00406/img-mean-std-00406077.npy +3 -0
  10. 00406/img-mean-std-00406079.npy +3 -0
  11. 00406/img-mean-std-00406085.npy +3 -0
  12. 00406/img-mean-std-00406093.npy +3 -0
  13. 00406/img-mean-std-00406113.npy +3 -0
  14. 00406/img-mean-std-00406114.npy +3 -0
  15. 00406/img-mean-std-00406121.npy +3 -0
  16. 00406/img-mean-std-00406126.npy +3 -0
  17. 00406/img-mean-std-00406128.npy +3 -0
  18. 00406/img-mean-std-00406153.npy +3 -0
  19. 00406/img-mean-std-00406154.npy +3 -0
  20. 00406/img-mean-std-00406166.npy +3 -0
  21. 00406/img-mean-std-00406168.npy +3 -0
  22. 00406/img-mean-std-00406182.npy +3 -0
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  24. 00406/img-mean-std-00406203.npy +3 -0
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  26. 00406/img-mean-std-00406231.npy +3 -0
  27. 00406/img-mean-std-00406236.npy +3 -0
  28. 00406/img-mean-std-00406238.npy +3 -0
  29. 00406/img-mean-std-00406243.npy +3 -0
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  31. 00406/img-mean-std-00406278.npy +3 -0
  32. 00406/img-mean-std-00406292.npy +3 -0
  33. 00406/img-mean-std-00406295.npy +3 -0
  34. 00406/img-mean-std-00406312.npy +3 -0
  35. 00406/img-mean-std-00406315.npy +3 -0
  36. 00406/img-mean-std-00406320.npy +3 -0
  37. 00406/img-mean-std-00406327.npy +3 -0
  38. 00406/img-mean-std-00406329.npy +3 -0
  39. 00406/img-mean-std-00406343.npy +3 -0
  40. 00406/img-mean-std-00406355.npy +3 -0
  41. 00406/img-mean-std-00406360.npy +3 -0
  42. 00406/img-mean-std-00406367.npy +3 -0
  43. 00406/img-mean-std-00406369.npy +3 -0
  44. 00406/img-mean-std-00406392.npy +3 -0
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  46. 00406/img-mean-std-00406416.npy +3 -0
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  48. 00406/img-mean-std-00406423.npy +3 -0
  49. 00406/img-mean-std-00406449.npy +3 -0
  50. 00406/img-mean-std-00406451.npy +3 -0
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