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  1. 00235/img-mean-std-00235000.npy +3 -0
  2. 00235/img-mean-std-00235007.npy +3 -0
  3. 00235/img-mean-std-00235009.npy +3 -0
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  5. 00235/img-mean-std-00235016.npy +3 -0
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  7. 00235/img-mean-std-00235023.npy +3 -0
  8. 00235/img-mean-std-00235063.npy +3 -0
  9. 00235/img-mean-std-00235064.npy +3 -0
  10. 00235/img-mean-std-00235072.npy +3 -0
  11. 00235/img-mean-std-00235075.npy +3 -0
  12. 00235/img-mean-std-00235080.npy +3 -0
  13. 00235/img-mean-std-00235123.npy +3 -0
  14. 00235/img-mean-std-00235124.npy +3 -0
  15. 00235/img-mean-std-00235132.npy +3 -0
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  17. 00235/img-mean-std-00235147.npy +3 -0
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  19. 00235/img-mean-std-00235151.npy +3 -0
  20. 00235/img-mean-std-00235156.npy +3 -0
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  24. 00235/img-mean-std-00235187.npy +3 -0
  25. 00235/img-mean-std-00235189.npy +3 -0
  26. 00235/img-mean-std-00235191.npy +3 -0
  27. 00235/img-mean-std-00235196.npy +3 -0
  28. 00235/img-mean-std-00235198.npy +3 -0
  29. 00235/img-mean-std-00235206.npy +3 -0
  30. 00235/img-mean-std-00235217.npy +3 -0
  31. 00235/img-mean-std-00235225.npy +3 -0
  32. 00235/img-mean-std-00235233.npy +3 -0
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  34. 00235/img-mean-std-00235241.npy +3 -0
  35. 00235/img-mean-std-00235246.npy +3 -0
  36. 00235/img-mean-std-00235248.npy +3 -0
  37. 00235/img-mean-std-00235250.npy +3 -0
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  39. 00235/img-mean-std-00235259.npy +3 -0
  40. 00235/img-mean-std-00235281.npy +3 -0
  41. 00235/img-mean-std-00235286.npy +3 -0
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  49. 00235/img-mean-std-00235310.npy +3 -0
  50. 00235/img-mean-std-00235319.npy +3 -0
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