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  1. 00063/img-mean-std-00063031.npy +3 -0
  2. 00063/img-mean-std-00063036.npy +3 -0
  3. 00063/img-mean-std-00063043.npy +3 -0
  4. 00063/img-mean-std-00063112.npy +3 -0
  5. 00063/img-mean-std-00063115.npy +3 -0
  6. 00063/img-mean-std-00063127.npy +3 -0
  7. 00063/img-mean-std-00063169.npy +3 -0
  8. 00063/img-mean-std-00063202.npy +3 -0
  9. 00063/img-mean-std-00063205.npy +3 -0
  10. 00063/img-mean-std-00063230.npy +3 -0
  11. 00063/img-mean-std-00063279.npy +3 -0
  12. 00063/img-mean-std-00063321.npy +3 -0
  13. 00063/img-mean-std-00063326.npy +3 -0
  14. 00063/img-mean-std-00063368.npy +3 -0
  15. 00063/img-mean-std-00063422.npy +3 -0
  16. 00063/img-mean-std-00063450.npy +3 -0
  17. 00063/img-mean-std-00063457.npy +3 -0
  18. 00063/img-mean-std-00063481.npy +3 -0
  19. 00063/img-mean-std-00063486.npy +3 -0
  20. 00063/img-mean-std-00063508.npy +3 -0
  21. 00063/img-mean-std-00063573.npy +3 -0
  22. 00063/img-mean-std-00063574.npy +3 -0
  23. 00063/img-mean-std-00063597.npy +3 -0
  24. 00063/img-mean-std-00063618.npy +3 -0
  25. 00063/img-mean-std-00063651.npy +3 -0
  26. 00063/img-mean-std-00063663.npy +3 -0
  27. 00063/img-mean-std-00063664.npy +3 -0
  28. 00063/img-mean-std-00063680.npy +3 -0
  29. 00063/img-mean-std-00063709.npy +3 -0
  30. 00063/img-mean-std-00063740.npy +3 -0
  31. 00063/img-mean-std-00063747.npy +3 -0
  32. 00063/img-mean-std-00063791.npy +3 -0
  33. 00063/img-mean-std-00063796.npy +3 -0
  34. 00063/img-mean-std-00063822.npy +3 -0
  35. 00063/img-mean-std-00063825.npy +3 -0
  36. 00063/img-mean-std-00063850.npy +3 -0
  37. 00063/img-mean-std-00063859.npy +3 -0
  38. 00063/img-mean-std-00063888.npy +3 -0
  39. 00063/img-mean-std-00063901.npy +3 -0
  40. 00063/img-mean-std-00063906.npy +3 -0
  41. 00063/img-mean-std-00063908.npy +3 -0
  42. 00119/img-mean-std-00119017.npy +3 -0
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  47. 00119/img-mean-std-00119057.npy +3 -0
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  49. 00119/img-mean-std-00119062.npy +3 -0
  50. 00119/img-mean-std-00119065.npy +3 -0
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