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  1. 00449/img-mean-std-00449008.npy +3 -0
  2. 00449/img-mean-std-00449022.npy +3 -0
  3. 00449/img-mean-std-00449025.npy +3 -0
  4. 00449/img-mean-std-00449046.npy +3 -0
  5. 00449/img-mean-std-00449050.npy +3 -0
  6. 00449/img-mean-std-00449057.npy +3 -0
  7. 00449/img-mean-std-00449059.npy +3 -0
  8. 00449/img-mean-std-00449062.npy +3 -0
  9. 00449/img-mean-std-00449081.npy +3 -0
  10. 00449/img-mean-std-00449086.npy +3 -0
  11. 00449/img-mean-std-00449088.npy +3 -0
  12. 00449/img-mean-std-00449101.npy +3 -0
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  14. 00449/img-mean-std-00449108.npy +3 -0
  15. 00449/img-mean-std-00449122.npy +3 -0
  16. 00449/img-mean-std-00449141.npy +3 -0
  17. 00449/img-mean-std-00449146.npy +3 -0
  18. 00449/img-mean-std-00449173.npy +3 -0
  19. 00449/img-mean-std-00449174.npy +3 -0
  20. 00449/img-mean-std-00449211.npy +3 -0
  21. 00449/img-mean-std-00449216.npy +3 -0
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  24. 00449/img-mean-std-00449249.npy +3 -0
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  26. 00449/img-mean-std-00449263.npy +3 -0
  27. 00449/img-mean-std-00449264.npy +3 -0
  28. 00449/img-mean-std-00449280.npy +3 -0
  29. 00449/img-mean-std-00449287.npy +3 -0
  30. 00449/img-mean-std-00449309.npy +3 -0
  31. 00449/img-mean-std-00449311.npy +3 -0
  32. 00449/img-mean-std-00449332.npy +3 -0
  33. 00449/img-mean-std-00449335.npy +3 -0
  34. 00449/img-mean-std-00449340.npy +3 -0
  35. 00449/img-mean-std-00449347.npy +3 -0
  36. 00449/img-mean-std-00449349.npy +3 -0
  37. 00449/img-mean-std-00449375.npy +3 -0
  38. 00449/img-mean-std-00449380.npy +3 -0
  39. 00449/img-mean-std-00449391.npy +3 -0
  40. 00449/img-mean-std-00449396.npy +3 -0
  41. 00449/img-mean-std-00449398.npy +3 -0
  42. 00449/img-mean-std-00449403.npy +3 -0
  43. 00449/img-mean-std-00449412.npy +3 -0
  44. 00449/img-mean-std-00449415.npy +3 -0
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  47. 00449/img-mean-std-00449438.npy +3 -0
  48. 00449/img-mean-std-00449443.npy +3 -0
  49. 00449/img-mean-std-00449444.npy +3 -0
  50. 00449/img-mean-std-00449469.npy +3 -0
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