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  1. 00052/img-mean-std-00052003.npy +3 -0
  2. 00052/img-mean-std-00052004.npy +3 -0
  3. 00052/img-mean-std-00052012.npy +3 -0
  4. 00052/img-mean-std-00052015.npy +3 -0
  5. 00052/img-mean-std-00052038.npy +3 -0
  6. 00052/img-mean-std-00052043.npy +3 -0
  7. 00052/img-mean-std-00052060.npy +3 -0
  8. 00052/img-mean-std-00052067.npy +3 -0
  9. 00052/img-mean-std-00052069.npy +3 -0
  10. 00052/img-mean-std-00052071.npy +3 -0
  11. 00052/img-mean-std-00052076.npy +3 -0
  12. 00052/img-mean-std-00052078.npy +3 -0
  13. 00052/img-mean-std-00052095.npy +3 -0
  14. 00052/img-mean-std-00052103.npy +3 -0
  15. 00052/img-mean-std-00052104.npy +3 -0
  16. 00052/img-mean-std-00052120.npy +3 -0
  17. 00052/img-mean-std-00052127.npy +3 -0
  18. 00052/img-mean-std-00052129.npy +3 -0
  19. 00052/img-mean-std-00052131.npy +3 -0
  20. 00052/img-mean-std-00052136.npy +3 -0
  21. 00052/img-mean-std-00052138.npy +3 -0
  22. 00052/img-mean-std-00052143.npy +3 -0
  23. 00052/img-mean-std-00052152.npy +3 -0
  24. 00052/img-mean-std-00052155.npy +3 -0
  25. 00052/img-mean-std-00052160.npy +3 -0
  26. 00052/img-mean-std-00052183.npy +3 -0
  27. 00052/img-mean-std-00052184.npy +3 -0
  28. 00052/img-mean-std-00052192.npy +3 -0
  29. 00052/img-mean-std-00052195.npy +3 -0
  30. 00052/img-mean-std-00052221.npy +3 -0
  31. 00052/img-mean-std-00052226.npy +3 -0
  32. 00052/img-mean-std-00052228.npy +3 -0
  33. 00052/img-mean-std-00052230.npy +3 -0
  34. 00052/img-mean-std-00052237.npy +3 -0
  35. 00052/img-mean-std-00052239.npy +3 -0
  36. 00052/img-mean-std-00052242.npy +3 -0
  37. 00052/img-mean-std-00052245.npy +3 -0
  38. 00052/img-mean-std-00052253.npy +3 -0
  39. 00052/img-mean-std-00052254.npy +3 -0
  40. 00052/img-mean-std-00052277.npy +3 -0
  41. 00052/img-mean-std-00052282.npy +3 -0
  42. 00052/img-mean-std-00052285.npy +3 -0
  43. 00052/img-mean-std-00052293.npy +3 -0
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  48. 00052/img-mean-std-00052314.npy +3 -0
  49. 00052/img-mean-std-00052330.npy +3 -0
  50. 00052/img-mean-std-00052361.npy +3 -0
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