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  1. 00838/img-mean-std-00838010.npy +3 -0
  2. 00838/img-mean-std-00838013.npy +3 -0
  3. 00838/img-mean-std-00838014.npy +3 -0
  4. 00838/img-mean-std-00838022.npy +3 -0
  5. 00838/img-mean-std-00838025.npy +3 -0
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  10. 00838/img-mean-std-00838062.npy +3 -0
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  13. 00838/img-mean-std-00838081.npy +3 -0
  14. 00838/img-mean-std-00838086.npy +3 -0
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  16. 00838/img-mean-std-00838101.npy +3 -0
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  18. 00838/img-mean-std-00838108.npy +3 -0
  19. 00838/img-mean-std-00838130.npy +3 -0
  20. 00838/img-mean-std-00838133.npy +3 -0
  21. 00838/img-mean-std-00838134.npy +3 -0
  22. 00838/img-mean-std-00838137.npy +3 -0
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  24. 00838/img-mean-std-00838142.npy +3 -0
  25. 00838/img-mean-std-00838146.npy +3 -0
  26. 00838/img-mean-std-00838148.npy +3 -0
  27. 00838/img-mean-std-00838173.npy +3 -0
  28. 00838/img-mean-std-00838174.npy +3 -0
  29. 00838/img-mean-std-00838177.npy +3 -0
  30. 00838/img-mean-std-00838190.npy +3 -0
  31. 00838/img-mean-std-00838197.npy +3 -0
  32. 00838/img-mean-std-00838211.npy +3 -0
  33. 00838/img-mean-std-00838216.npy +3 -0
  34. 00838/img-mean-std-00838218.npy +3 -0
  35. 00838/img-mean-std-00838220.npy +3 -0
  36. 00838/img-mean-std-00838227.npy +3 -0
  37. 00838/img-mean-std-00838251.npy +3 -0
  38. 00838/img-mean-std-00838263.npy +3 -0
  39. 00838/img-mean-std-00838264.npy +3 -0
  40. 00838/img-mean-std-00838280.npy +3 -0
  41. 00838/img-mean-std-00838287.npy +3 -0
  42. 00838/img-mean-std-00838303.npy +3 -0
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  44. 00838/img-mean-std-00838309.npy +3 -0
  45. 00838/img-mean-std-00838332.npy +3 -0
  46. 00838/img-mean-std-00838335.npy +3 -0
  47. 00838/img-mean-std-00838338.npy +3 -0
  48. 00838/img-mean-std-00838340.npy +3 -0
  49. 00838/img-mean-std-00838347.npy +3 -0
  50. 00838/img-mean-std-00838349.npy +3 -0
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