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  1. 00019/img-mean-std-00019001.npy +3 -0
  2. 00019/img-mean-std-00019006.npy +3 -0
  3. 00019/img-mean-std-00019033.npy +3 -0
  4. 00019/img-mean-std-00019034.npy +3 -0
  5. 00019/img-mean-std-00019041.npy +3 -0
  6. 00019/img-mean-std-00019046.npy +3 -0
  7. 00019/img-mean-std-00019048.npy +3 -0
  8. 00019/img-mean-std-00019050.npy +3 -0
  9. 00019/img-mean-std-00019057.npy +3 -0
  10. 00019/img-mean-std-00019073.npy +3 -0
  11. 00019/img-mean-std-00019081.npy +3 -0
  12. 00019/img-mean-std-00019086.npy +3 -0
  13. 00019/img-mean-std-00019090.npy +3 -0
  14. 00019/img-mean-std-00019097.npy +3 -0
  15. 00019/img-mean-std-00019099.npy +3 -0
  16. 00019/img-mean-std-00019108.npy +3 -0
  17. 00019/img-mean-std-00019110.npy +3 -0
  18. 00019/img-mean-std-00019117.npy +3 -0
  19. 00019/img-mean-std-00019119.npy +3 -0
  20. 00019/img-mean-std-00019122.npy +3 -0
  21. 00019/img-mean-std-00019125.npy +3 -0
  22. 00019/img-mean-std-00019150.npy +3 -0
  23. 00019/img-mean-std-00019157.npy +3 -0
  24. 00019/img-mean-std-00019159.npy +3 -0
  25. 00019/img-mean-std-00019162.npy +3 -0
  26. 00019/img-mean-std-00019165.npy +3 -0
  27. 00019/img-mean-std-00019173.npy +3 -0
  28. 00019/img-mean-std-00019174.npy +3 -0
  29. 00019/img-mean-std-00019181.npy +3 -0
  30. 00019/img-mean-std-00019186.npy +3 -0
  31. 00019/img-mean-std-00019188.npy +3 -0
  32. 00019/img-mean-std-00019200.npy +3 -0
  33. 00019/img-mean-std-00019207.npy +3 -0
  34. 00019/img-mean-std-00019209.npy +3 -0
  35. 00019/img-mean-std-00019218.npy +3 -0
  36. 00019/img-mean-std-00019232.npy +3 -0
  37. 00019/img-mean-std-00019235.npy +3 -0
  38. 00019/img-mean-std-00019240.npy +3 -0
  39. 00019/img-mean-std-00019247.npy +3 -0
  40. 00019/img-mean-std-00019249.npy +3 -0
  41. 00019/img-mean-std-00019263.npy +3 -0
  42. 00019/img-mean-std-00019264.npy +3 -0
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  44. 00019/img-mean-std-00019275.npy +3 -0
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  48. 00019/img-mean-std-00019311.npy +3 -0
  49. 00019/img-mean-std-00019316.npy +3 -0
  50. 00019/img-mean-std-00019318.npy +3 -0
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