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  1. 00557/img-mean-std-00557003.npy +3 -0
  2. 00557/img-mean-std-00557012.npy +3 -0
  3. 00557/img-mean-std-00557020.npy +3 -0
  4. 00557/img-mean-std-00557027.npy +3 -0
  5. 00557/img-mean-std-00557029.npy +3 -0
  6. 00557/img-mean-std-00557031.npy +3 -0
  7. 00557/img-mean-std-00557036.npy +3 -0
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  9. 00557/img-mean-std-00557043.npy +3 -0
  10. 00557/img-mean-std-00557044.npy +3 -0
  11. 00557/img-mean-std-00557052.npy +3 -0
  12. 00557/img-mean-std-00557055.npy +3 -0
  13. 00557/img-mean-std-00557083.npy +3 -0
  14. 00557/img-mean-std-00557084.npy +3 -0
  15. 00557/img-mean-std-00557092.npy +3 -0
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  17. 00557/img-mean-std-00557103.npy +3 -0
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  19. 00557/img-mean-std-00557112.npy +3 -0
  20. 00557/img-mean-std-00557115.npy +3 -0
  21. 00557/img-mean-std-00557160.npy +3 -0
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  24. 00557/img-mean-std-00557171.npy +3 -0
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  26. 00557/img-mean-std-00557178.npy +3 -0
  27. 00557/img-mean-std-00557202.npy +3 -0
  28. 00557/img-mean-std-00557205.npy +3 -0
  29. 00557/img-mean-std-00557213.npy +3 -0
  30. 00557/img-mean-std-00557214.npy +3 -0
  31. 00557/img-mean-std-00557230.npy +3 -0
  32. 00557/img-mean-std-00557261.npy +3 -0
  33. 00557/img-mean-std-00557266.npy +3 -0
  34. 00557/img-mean-std-00557268.npy +3 -0
  35. 00557/img-mean-std-00557270.npy +3 -0
  36. 00557/img-mean-std-00557277.npy +3 -0
  37. 00557/img-mean-std-00557279.npy +3 -0
  38. 00557/img-mean-std-00557305.npy +3 -0
  39. 00557/img-mean-std-00557314.npy +3 -0
  40. 00557/img-mean-std-00557321.npy +3 -0
  41. 00557/img-mean-std-00557326.npy +3 -0
  42. 00557/img-mean-std-00557328.npy +3 -0
  43. 00557/img-mean-std-00557330.npy +3 -0
  44. 00557/img-mean-std-00557337.npy +3 -0
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  46. 00557/img-mean-std-00557342.npy +3 -0
  47. 00557/img-mean-std-00557345.npy +3 -0
  48. 00557/img-mean-std-00557353.npy +3 -0
  49. 00557/img-mean-std-00557354.npy +3 -0
  50. 00557/img-mean-std-00557368.npy +3 -0
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