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  1. 00740/img-mean-std-00740003.npy +3 -0
  2. 00740/img-mean-std-00740004.npy +3 -0
  3. 00740/img-mean-std-00740031.npy +3 -0
  4. 00740/img-mean-std-00740036.npy +3 -0
  5. 00740/img-mean-std-00740038.npy +3 -0
  6. 00740/img-mean-std-00740043.npy +3 -0
  7. 00740/img-mean-std-00740044.npy +3 -0
  8. 00740/img-mean-std-00740061.npy +3 -0
  9. 00740/img-mean-std-00740066.npy +3 -0
  10. 00740/img-mean-std-00740071.npy +3 -0
  11. 00740/img-mean-std-00740076.npy +3 -0
  12. 00740/img-mean-std-00740078.npy +3 -0
  13. 00740/img-mean-std-00740092.npy +3 -0
  14. 00740/img-mean-std-00740095.npy +3 -0
  15. 00740/img-mean-std-00740112.npy +3 -0
  16. 00740/img-mean-std-00740115.npy +3 -0
  17. 00740/img-mean-std-00740120.npy +3 -0
  18. 00740/img-mean-std-00740127.npy +3 -0
  19. 00740/img-mean-std-00740129.npy +3 -0
  20. 00740/img-mean-std-00740139.npy +3 -0
  21. 00740/img-mean-std-00740142.npy +3 -0
  22. 00740/img-mean-std-00740155.npy +3 -0
  23. 00740/img-mean-std-00740160.npy +3 -0
  24. 00740/img-mean-std-00740167.npy +3 -0
  25. 00740/img-mean-std-00740169.npy +3 -0
  26. 00740/img-mean-std-00740184.npy +3 -0
  27. 00740/img-mean-std-00740193.npy +3 -0
  28. 00740/img-mean-std-00740194.npy +3 -0
  29. 00740/img-mean-std-00740202.npy +3 -0
  30. 00740/img-mean-std-00740205.npy +3 -0
  31. 00740/img-mean-std-00740229.npy +3 -0
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  33. 00740/img-mean-std-00740237.npy +3 -0
  34. 00740/img-mean-std-00740239.npy +3 -0
  35. 00740/img-mean-std-00740242.npy +3 -0
  36. 00740/img-mean-std-00740245.npy +3 -0
  37. 00740/img-mean-std-00740252.npy +3 -0
  38. 00740/img-mean-std-00740255.npy +3 -0
  39. 00740/img-mean-std-00740270.npy +3 -0
  40. 00740/img-mean-std-00740277.npy +3 -0
  41. 00740/img-mean-std-00740279.npy +3 -0
  42. 00740/img-mean-std-00740283.npy +3 -0
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  48. 00740/img-mean-std-00740326.npy +3 -0
  49. 00740/img-mean-std-00740328.npy +3 -0
  50. 00740/img-mean-std-00740353.npy +3 -0
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