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  1. 00581/img-mean-std-00581012.npy +3 -0
  2. 00581/img-mean-std-00581015.npy +3 -0
  3. 00581/img-mean-std-00581030.npy +3 -0
  4. 00581/img-mean-std-00581037.npy +3 -0
  5. 00581/img-mean-std-00581039.npy +3 -0
  6. 00581/img-mean-std-00581042.npy +3 -0
  7. 00581/img-mean-std-00581052.npy +3 -0
  8. 00581/img-mean-std-00581060.npy +3 -0
  9. 00581/img-mean-std-00581067.npy +3 -0
  10. 00581/img-mean-std-00581069.npy +3 -0
  11. 00581/img-mean-std-00581083.npy +3 -0
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  13. 00581/img-mean-std-00581093.npy +3 -0
  14. 00581/img-mean-std-00581103.npy +3 -0
  15. 00581/img-mean-std-00581113.npy +3 -0
  16. 00581/img-mean-std-00581114.npy +3 -0
  17. 00581/img-mean-std-00581131.npy +3 -0
  18. 00581/img-mean-std-00581136.npy +3 -0
  19. 00581/img-mean-std-00581138.npy +3 -0
  20. 00581/img-mean-std-00581143.npy +3 -0
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  22. 00581/img-mean-std-00581168.npy +3 -0
  23. 00581/img-mean-std-00581171.npy +3 -0
  24. 00581/img-mean-std-00581176.npy +3 -0
  25. 00581/img-mean-std-00581182.npy +3 -0
  26. 00581/img-mean-std-00581192.npy +3 -0
  27. 00581/img-mean-std-00581195.npy +3 -0
  28. 00581/img-mean-std-00581203.npy +3 -0
  29. 00581/img-mean-std-00581204.npy +3 -0
  30. 00581/img-mean-std-00581214.npy +3 -0
  31. 00581/img-mean-std-00581221.npy +3 -0
  32. 00581/img-mean-std-00581226.npy +3 -0
  33. 00581/img-mean-std-00581228.npy +3 -0
  34. 00581/img-mean-std-00581253.npy +3 -0
  35. 00581/img-mean-std-00581254.npy +3 -0
  36. 00581/img-mean-std-00581261.npy +3 -0
  37. 00581/img-mean-std-00581278.npy +3 -0
  38. 00581/img-mean-std-00581282.npy +3 -0
  39. 00581/img-mean-std-00581285.npy +3 -0
  40. 00581/img-mean-std-00581302.npy +3 -0
  41. 00581/img-mean-std-00581305.npy +3 -0
  42. 00581/img-mean-std-00581320.npy +3 -0
  43. 00581/img-mean-std-00581327.npy +3 -0
  44. 00581/img-mean-std-00581330.npy +3 -0
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  46. 00581/img-mean-std-00581342.npy +3 -0
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  48. 00581/img-mean-std-00581355.npy +3 -0
  49. 00581/img-mean-std-00581360.npy +3 -0
  50. 00581/img-mean-std-00581370.npy +3 -0
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