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  1. 00070/img-mean-std-00070000.npy +3 -0
  2. 00070/img-mean-std-00070007.npy +3 -0
  3. 00070/img-mean-std-00070009.npy +3 -0
  4. 00070/img-mean-std-00070032.npy +3 -0
  5. 00070/img-mean-std-00070038.npy +3 -0
  6. 00070/img-mean-std-00070044.npy +3 -0
  7. 00070/img-mean-std-00070072.npy +3 -0
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  9. 00070/img-mean-std-00070095.npy +3 -0
  10. 00070/img-mean-std-00070116.npy +3 -0
  11. 00070/img-mean-std-00070123.npy +3 -0
  12. 00070/img-mean-std-00070124.npy +3 -0
  13. 00070/img-mean-std-00070151.npy +3 -0
  14. 00070/img-mean-std-00070156.npy +3 -0
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  17. 00070/img-mean-std-00070167.npy +3 -0
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  19. 00070/img-mean-std-00070187.npy +3 -0
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  21. 00070/img-mean-std-00070201.npy +3 -0
  22. 00070/img-mean-std-00070233.npy +3 -0
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  24. 00070/img-mean-std-00070241.npy +3 -0
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  27. 00070/img-mean-std-00070270.npy +3 -0
  28. 00070/img-mean-std-00070277.npy +3 -0
  29. 00070/img-mean-std-00070290.npy +3 -0
  30. 00070/img-mean-std-00070297.npy +3 -0
  31. 00070/img-mean-std-00070299.npy +3 -0
  32. 00070/img-mean-std-00070310.npy +3 -0
  33. 00070/img-mean-std-00070317.npy +3 -0
  34. 00070/img-mean-std-00070319.npy +3 -0
  35. 00070/img-mean-std-00070325.npy +3 -0
  36. 00070/img-mean-std-00070328.npy +3 -0
  37. 00070/img-mean-std-00070353.npy +3 -0
  38. 00070/img-mean-std-00070359.npy +3 -0
  39. 00070/img-mean-std-00070362.npy +3 -0
  40. 00070/img-mean-std-00070365.npy +3 -0
  41. 00070/img-mean-std-00070382.npy +3 -0
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  49. 00070/img-mean-std-00070459.npy +3 -0
  50. 00070/img-mean-std-00070461.npy +3 -0
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