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  1. 00135/img-mean-std-00135027.npy +3 -0
  2. 00135/img-mean-std-00135031.npy +3 -0
  3. 00135/img-mean-std-00135036.npy +3 -0
  4. 00135/img-mean-std-00135038.npy +3 -0
  5. 00135/img-mean-std-00135043.npy +3 -0
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  7. 00135/img-mean-std-00135071.npy +3 -0
  8. 00135/img-mean-std-00135092.npy +3 -0
  9. 00135/img-mean-std-00135095.npy +3 -0
  10. 00135/img-mean-std-00135103.npy +3 -0
  11. 00135/img-mean-std-00135112.npy +3 -0
  12. 00135/img-mean-std-00135115.npy +3 -0
  13. 00135/img-mean-std-00135129.npy +3 -0
  14. 00135/img-mean-std-00135160.npy +3 -0
  15. 00135/img-mean-std-00135167.npy +3 -0
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  19. 00135/img-mean-std-00135205.npy +3 -0
  20. 00135/img-mean-std-00135214.npy +3 -0
  21. 00135/img-mean-std-00135242.npy +3 -0
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  24. 00135/img-mean-std-00135277.npy +3 -0
  25. 00135/img-mean-std-00135279.npy +3 -0
  26. 00135/img-mean-std-00135321.npy +3 -0
  27. 00135/img-mean-std-00135326.npy +3 -0
  28. 00135/img-mean-std-00135328.npy +3 -0
  29. 00135/img-mean-std-00135330.npy +3 -0
  30. 00135/img-mean-std-00135353.npy +3 -0
  31. 00135/img-mean-std-00135354.npy +3 -0
  32. 00135/img-mean-std-00135366.npy +3 -0
  33. 00135/img-mean-std-00135382.npy +3 -0
  34. 00135/img-mean-std-00135385.npy +3 -0
  35. 00135/img-mean-std-00135410.npy +3 -0
  36. 00135/img-mean-std-00135422.npy +3 -0
  37. 00135/img-mean-std-00135425.npy +3 -0
  38. 00135/img-mean-std-00135446.npy +3 -0
  39. 00135/img-mean-std-00135450.npy +3 -0
  40. 00135/img-mean-std-00135457.npy +3 -0
  41. 00135/img-mean-std-00135459.npy +3 -0
  42. 00135/img-mean-std-00135481.npy +3 -0
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  48. 00135/img-mean-std-00135508.npy +3 -0
  49. 00135/img-mean-std-00135548.npy +3 -0
  50. 00135/img-mean-std-00135562.npy +3 -0
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