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  1. 00348/img-mean-std-00348002.npy +3 -0
  2. 00348/img-mean-std-00348005.npy +3 -0
  3. 00348/img-mean-std-00348014.npy +3 -0
  4. 00348/img-mean-std-00348030.npy +3 -0
  5. 00348/img-mean-std-00348037.npy +3 -0
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  7. 00348/img-mean-std-00348042.npy +3 -0
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  9. 00348/img-mean-std-00348068.npy +3 -0
  10. 00348/img-mean-std-00348070.npy +3 -0
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  13. 00348/img-mean-std-00348093.npy +3 -0
  14. 00348/img-mean-std-00348094.npy +3 -0
  15. 00348/img-mean-std-00348113.npy +3 -0
  16. 00348/img-mean-std-00348114.npy +3 -0
  17. 00348/img-mean-std-00348121.npy +3 -0
  18. 00348/img-mean-std-00348126.npy +3 -0
  19. 00348/img-mean-std-00348128.npy +3 -0
  20. 00348/img-mean-std-00348130.npy +3 -0
  21. 00348/img-mean-std-00348153.npy +3 -0
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  24. 00348/img-mean-std-00348166.npy +3 -0
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  26. 00348/img-mean-std-00348182.npy +3 -0
  27. 00348/img-mean-std-00348185.npy +3 -0
  28. 00348/img-mean-std-00348203.npy +3 -0
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  31. 00348/img-mean-std-00348238.npy +3 -0
  32. 00348/img-mean-std-00348243.npy +3 -0
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  34. 00348/img-mean-std-00348271.npy +3 -0
  35. 00348/img-mean-std-00348276.npy +3 -0
  36. 00348/img-mean-std-00348278.npy +3 -0
  37. 00348/img-mean-std-00348292.npy +3 -0
  38. 00348/img-mean-std-00348295.npy +3 -0
  39. 00348/img-mean-std-00348303.npy +3 -0
  40. 00348/img-mean-std-00348312.npy +3 -0
  41. 00348/img-mean-std-00348315.npy +3 -0
  42. 00348/img-mean-std-00348320.npy +3 -0
  43. 00348/img-mean-std-00348327.npy +3 -0
  44. 00348/img-mean-std-00348329.npy +3 -0
  45. 00348/img-mean-std-00348352.npy +3 -0
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  47. 00348/img-mean-std-00348360.npy +3 -0
  48. 00348/img-mean-std-00348367.npy +3 -0
  49. 00348/img-mean-std-00348383.npy +3 -0
  50. 00348/img-mean-std-00348384.npy +3 -0
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