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  1. 00093/img-mean-std-00093013.npy +3 -0
  2. 00093/img-mean-std-00093014.npy +3 -0
  3. 00093/img-mean-std-00093021.npy +3 -0
  4. 00093/img-mean-std-00093026.npy +3 -0
  5. 00093/img-mean-std-00093028.npy +3 -0
  6. 00093/img-mean-std-00093039.npy +3 -0
  7. 00093/img-mean-std-00093045.npy +3 -0
  8. 00093/img-mean-std-00093053.npy +3 -0
  9. 00093/img-mean-std-00093054.npy +3 -0
  10. 00093/img-mean-std-00093061.npy +3 -0
  11. 00093/img-mean-std-00093066.npy +3 -0
  12. 00093/img-mean-std-00093068.npy +3 -0
  13. 00093/img-mean-std-00093082.npy +3 -0
  14. 00093/img-mean-std-00093085.npy +3 -0
  15. 00093/img-mean-std-00093093.npy +3 -0
  16. 00093/img-mean-std-00093094.npy +3 -0
  17. 00093/img-mean-std-00093102.npy +3 -0
  18. 00093/img-mean-std-00093105.npy +3 -0
  19. 00093/img-mean-std-00093130.npy +3 -0
  20. 00093/img-mean-std-00093137.npy +3 -0
  21. 00093/img-mean-std-00093139.npy +3 -0
  22. 00093/img-mean-std-00093142.npy +3 -0
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  24. 00093/img-mean-std-00093161.npy +3 -0
  25. 00093/img-mean-std-00093170.npy +3 -0
  26. 00093/img-mean-std-00093174.npy +3 -0
  27. 00093/img-mean-std-00093177.npy +3 -0
  28. 00093/img-mean-std-00093179.npy +3 -0
  29. 00093/img-mean-std-00093193.npy +3 -0
  30. 00093/img-mean-std-00093194.npy +3 -0
  31. 00093/img-mean-std-00093212.npy +3 -0
  32. 00093/img-mean-std-00093215.npy +3 -0
  33. 00093/img-mean-std-00093220.npy +3 -0
  34. 00093/img-mean-std-00093227.npy +3 -0
  35. 00093/img-mean-std-00093229.npy +3 -0
  36. 00093/img-mean-std-00093252.npy +3 -0
  37. 00093/img-mean-std-00093255.npy +3 -0
  38. 00093/img-mean-std-00093260.npy +3 -0
  39. 00093/img-mean-std-00093267.npy +3 -0
  40. 00093/img-mean-std-00093269.npy +3 -0
  41. 00093/img-mean-std-00093276.npy +3 -0
  42. 00093/img-mean-std-00093283.npy +3 -0
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  49. 00093/img-mean-std-00093343.npy +3 -0
  50. 00093/img-mean-std-00093344.npy +3 -0
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