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  1. 00761/img-mean-std-00761013.npy +3 -0
  2. 00761/img-mean-std-00761014.npy +3 -0
  3. 00761/img-mean-std-00761021.npy +3 -0
  4. 00761/img-mean-std-00761026.npy +3 -0
  5. 00761/img-mean-std-00761036.npy +3 -0
  6. 00761/img-mean-std-00761038.npy +3 -0
  7. 00761/img-mean-std-00761043.npy +3 -0
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  9. 00761/img-mean-std-00761053.npy +3 -0
  10. 00761/img-mean-std-00761054.npy +3 -0
  11. 00761/img-mean-std-00761061.npy +3 -0
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  13. 00761/img-mean-std-00761068.npy +3 -0
  14. 00761/img-mean-std-00761082.npy +3 -0
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  17. 00761/img-mean-std-00761095.npy +3 -0
  18. 00761/img-mean-std-00761105.npy +3 -0
  19. 00761/img-mean-std-00761112.npy +3 -0
  20. 00761/img-mean-std-00761130.npy +3 -0
  21. 00761/img-mean-std-00761137.npy +3 -0
  22. 00761/img-mean-std-00761139.npy +3 -0
  23. 00761/img-mean-std-00761142.npy +3 -0
  24. 00761/img-mean-std-00761145.npy +3 -0
  25. 00761/img-mean-std-00761160.npy +3 -0
  26. 00761/img-mean-std-00761167.npy +3 -0
  27. 00761/img-mean-std-00761169.npy +3 -0
  28. 00761/img-mean-std-00761177.npy +3 -0
  29. 00761/img-mean-std-00761179.npy +3 -0
  30. 00761/img-mean-std-00761193.npy +3 -0
  31. 00761/img-mean-std-00761194.npy +3 -0
  32. 00761/img-mean-std-00761202.npy +3 -0
  33. 00761/img-mean-std-00761205.npy +3 -0
  34. 00761/img-mean-std-00761212.npy +3 -0
  35. 00761/img-mean-std-00761220.npy +3 -0
  36. 00761/img-mean-std-00761227.npy +3 -0
  37. 00761/img-mean-std-00761229.npy +3 -0
  38. 00761/img-mean-std-00761252.npy +3 -0
  39. 00761/img-mean-std-00761255.npy +3 -0
  40. 00761/img-mean-std-00761260.npy +3 -0
  41. 00761/img-mean-std-00761270.npy +3 -0
  42. 00761/img-mean-std-00761277.npy +3 -0
  43. 00761/img-mean-std-00761279.npy +3 -0
  44. 00761/img-mean-std-00761283.npy +3 -0
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  46. 00761/img-mean-std-00761303.npy +3 -0
  47. 00761/img-mean-std-00761304.npy +3 -0
  48. 00761/img-mean-std-00761321.npy +3 -0
  49. 00761/img-mean-std-00761331.npy +3 -0
  50. 00761/img-mean-std-00761336.npy +3 -0
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