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  1. 00082/img-mean-std-00082001.npy +3 -0
  2. 00082/img-mean-std-00082008.npy +3 -0
  3. 00082/img-mean-std-00082010.npy +3 -0
  4. 00082/img-mean-std-00082017.npy +3 -0
  5. 00082/img-mean-std-00082019.npy +3 -0
  6. 00082/img-mean-std-00082022.npy +3 -0
  7. 00082/img-mean-std-00082025.npy +3 -0
  8. 00082/img-mean-std-00082057.npy +3 -0
  9. 00082/img-mean-std-00082059.npy +3 -0
  10. 00082/img-mean-std-00082062.npy +3 -0
  11. 00082/img-mean-std-00082065.npy +3 -0
  12. 00082/img-mean-std-00082073.npy +3 -0
  13. 00082/img-mean-std-00082074.npy +3 -0
  14. 00082/img-mean-std-00082088.npy +3 -0
  15. 00082/img-mean-std-00082101.npy +3 -0
  16. 00082/img-mean-std-00082106.npy +3 -0
  17. 00082/img-mean-std-00082122.npy +3 -0
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  19. 00082/img-mean-std-00082133.npy +3 -0
  20. 00082/img-mean-std-00082134.npy +3 -0
  21. 00082/img-mean-std-00082141.npy +3 -0
  22. 00082/img-mean-std-00082146.npy +3 -0
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  24. 00082/img-mean-std-00082150.npy +3 -0
  25. 00082/img-mean-std-00082157.npy +3 -0
  26. 00082/img-mean-std-00082159.npy +3 -0
  27. 00082/img-mean-std-00082181.npy +3 -0
  28. 00082/img-mean-std-00082186.npy +3 -0
  29. 00082/img-mean-std-00082188.npy +3 -0
  30. 00082/img-mean-std-00082190.npy +3 -0
  31. 00082/img-mean-std-00082197.npy +3 -0
  32. 00082/img-mean-std-00082199.npy +3 -0
  33. 00082/img-mean-std-00082211.npy +3 -0
  34. 00082/img-mean-std-00082216.npy +3 -0
  35. 00082/img-mean-std-00082223.npy +3 -0
  36. 00082/img-mean-std-00082224.npy +3 -0
  37. 00082/img-mean-std-00082232.npy +3 -0
  38. 00082/img-mean-std-00082240.npy +3 -0
  39. 00082/img-mean-std-00082247.npy +3 -0
  40. 00082/img-mean-std-00082251.npy +3 -0
  41. 00082/img-mean-std-00082256.npy +3 -0
  42. 00082/img-mean-std-00082258.npy +3 -0
  43. 00082/img-mean-std-00082280.npy +3 -0
  44. 00082/img-mean-std-00082287.npy +3 -0
  45. 00082/img-mean-std-00082289.npy +3 -0
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  48. 00082/img-mean-std-00082300.npy +3 -0
  49. 00082/img-mean-std-00082307.npy +3 -0
  50. 00082/img-mean-std-00082309.npy +3 -0
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