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  1. 00716/img-mean-std-00716021.npy +3 -0
  2. 00716/img-mean-std-00716026.npy +3 -0
  3. 00716/img-mean-std-00716028.npy +3 -0
  4. 00716/img-mean-std-00716030.npy +3 -0
  5. 00716/img-mean-std-00716037.npy +3 -0
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  7. 00716/img-mean-std-00716042.npy +3 -0
  8. 00716/img-mean-std-00716053.npy +3 -0
  9. 00716/img-mean-std-00716061.npy +3 -0
  10. 00716/img-mean-std-00716068.npy +3 -0
  11. 00716/img-mean-std-00716070.npy +3 -0
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  14. 00716/img-mean-std-00716094.npy +3 -0
  15. 00716/img-mean-std-00716102.npy +3 -0
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  17. 00716/img-mean-std-00716113.npy +3 -0
  18. 00716/img-mean-std-00716114.npy +3 -0
  19. 00716/img-mean-std-00716128.npy +3 -0
  20. 00716/img-mean-std-00716137.npy +3 -0
  21. 00716/img-mean-std-00716139.npy +3 -0
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  24. 00716/img-mean-std-00716161.npy +3 -0
  25. 00716/img-mean-std-00716166.npy +3 -0
  26. 00716/img-mean-std-00716168.npy +3 -0
  27. 00716/img-mean-std-00716170.npy +3 -0
  28. 00716/img-mean-std-00716177.npy +3 -0
  29. 00716/img-mean-std-00716179.npy +3 -0
  30. 00716/img-mean-std-00716185.npy +3 -0
  31. 00716/img-mean-std-00716203.npy +3 -0
  32. 00716/img-mean-std-00716204.npy +3 -0
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  34. 00716/img-mean-std-00716215.npy +3 -0
  35. 00716/img-mean-std-00716227.npy +3 -0
  36. 00716/img-mean-std-00716238.npy +3 -0
  37. 00716/img-mean-std-00716243.npy +3 -0
  38. 00716/img-mean-std-00716244.npy +3 -0
  39. 00716/img-mean-std-00716260.npy +3 -0
  40. 00716/img-mean-std-00716267.npy +3 -0
  41. 00716/img-mean-std-00716269.npy +3 -0
  42. 00716/img-mean-std-00716271.npy +3 -0
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  46. 00716/img-mean-std-00716320.npy +3 -0
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  48. 00716/img-mean-std-00716331.npy +3 -0
  49. 00716/img-mean-std-00716336.npy +3 -0
  50. 00716/img-mean-std-00716338.npy +3 -0
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