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  1. 00753/img-mean-std-00753003.npy +3 -0
  2. 00753/img-mean-std-00753004.npy +3 -0
  3. 00753/img-mean-std-00753028.npy +3 -0
  4. 00753/img-mean-std-00753029.npy +3 -0
  5. 00753/img-mean-std-00753031.npy +3 -0
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  7. 00753/img-mean-std-00753038.npy +3 -0
  8. 00753/img-mean-std-00753043.npy +3 -0
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  10. 00753/img-mean-std-00753053.npy +3 -0
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  12. 00753/img-mean-std-00753071.npy +3 -0
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  14. 00753/img-mean-std-00753082.npy +3 -0
  15. 00753/img-mean-std-00753092.npy +3 -0
  16. 00753/img-mean-std-00753095.npy +3 -0
  17. 00753/img-mean-std-00753103.npy +3 -0
  18. 00753/img-mean-std-00753104.npy +3 -0
  19. 00753/img-mean-std-00753112.npy +3 -0
  20. 00753/img-mean-std-00753115.npy +3 -0
  21. 00753/img-mean-std-00753120.npy +3 -0
  22. 00753/img-mean-std-00753127.npy +3 -0
  23. 00753/img-mean-std-00753129.npy +3 -0
  24. 00753/img-mean-std-00753152.npy +3 -0
  25. 00753/img-mean-std-00753155.npy +3 -0
  26. 00753/img-mean-std-00753160.npy +3 -0
  27. 00753/img-mean-std-00753167.npy +3 -0
  28. 00753/img-mean-std-00753169.npy +3 -0
  29. 00753/img-mean-std-00753176.npy +3 -0
  30. 00753/img-mean-std-00753183.npy +3 -0
  31. 00753/img-mean-std-00753184.npy +3 -0
  32. 00753/img-mean-std-00753202.npy +3 -0
  33. 00753/img-mean-std-00753205.npy +3 -0
  34. 00753/img-mean-std-00753213.npy +3 -0
  35. 00753/img-mean-std-00753214.npy +3 -0
  36. 00753/img-mean-std-00753230.npy +3 -0
  37. 00753/img-mean-std-00753237.npy +3 -0
  38. 00753/img-mean-std-00753242.npy +3 -0
  39. 00753/img-mean-std-00753245.npy +3 -0
  40. 00753/img-mean-std-00753261.npy +3 -0
  41. 00753/img-mean-std-00753266.npy +3 -0
  42. 00753/img-mean-std-00753267.npy +3 -0
  43. 00753/img-mean-std-00753270.npy +3 -0
  44. 00753/img-mean-std-00753277.npy +3 -0
  45. 00753/img-mean-std-00753279.npy +3 -0
  46. 00753/img-mean-std-00753293.npy +3 -0
  47. 00753/img-mean-std-00753294.npy +3 -0
  48. 00753/img-mean-std-00753314.npy +3 -0
  49. 00753/img-mean-std-00753321.npy +3 -0
  50. 00753/img-mean-std-00753326.npy +3 -0
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