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  1. 00196/img-mean-std-00196013.npy +3 -0
  2. 00196/img-mean-std-00196014.npy +3 -0
  3. 00196/img-mean-std-00196021.npy +3 -0
  4. 00196/img-mean-std-00196026.npy +3 -0
  5. 00196/img-mean-std-00196028.npy +3 -0
  6. 00196/img-mean-std-00196053.npy +3 -0
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  8. 00196/img-mean-std-00196061.npy +3 -0
  9. 00196/img-mean-std-00196066.npy +3 -0
  10. 00196/img-mean-std-00196068.npy +3 -0
  11. 00196/img-mean-std-00196082.npy +3 -0
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  13. 00196/img-mean-std-00196102.npy +3 -0
  14. 00196/img-mean-std-00196105.npy +3 -0
  15. 00196/img-mean-std-00196130.npy +3 -0
  16. 00196/img-mean-std-00196139.npy +3 -0
  17. 00196/img-mean-std-00196142.npy +3 -0
  18. 00196/img-mean-std-00196145.npy +3 -0
  19. 00196/img-mean-std-00196170.npy +3 -0
  20. 00196/img-mean-std-00196177.npy +3 -0
  21. 00196/img-mean-std-00196179.npy +3 -0
  22. 00196/img-mean-std-00196193.npy +3 -0
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  24. 00196/img-mean-std-00196212.npy +3 -0
  25. 00196/img-mean-std-00196215.npy +3 -0
  26. 00196/img-mean-std-00196227.npy +3 -0
  27. 00196/img-mean-std-00196229.npy +3 -0
  28. 00196/img-mean-std-00196252.npy +3 -0
  29. 00196/img-mean-std-00196255.npy +3 -0
  30. 00196/img-mean-std-00196260.npy +3 -0
  31. 00196/img-mean-std-00196267.npy +3 -0
  32. 00196/img-mean-std-00196269.npy +3 -0
  33. 00196/img-mean-std-00196283.npy +3 -0
  34. 00196/img-mean-std-00196284.npy +3 -0
  35. 00196/img-mean-std-00196303.npy +3 -0
  36. 00196/img-mean-std-00196304.npy +3 -0
  37. 00196/img-mean-std-00196331.npy +3 -0
  38. 00196/img-mean-std-00196336.npy +3 -0
  39. 00196/img-mean-std-00196338.npy +3 -0
  40. 00196/img-mean-std-00196343.npy +3 -0
  41. 00196/img-mean-std-00196344.npy +3 -0
  42. 00196/img-mean-std-00196371.npy +3 -0
  43. 00196/img-mean-std-00196376.npy +3 -0
  44. 00196/img-mean-std-00196392.npy +3 -0
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  46. 00196/img-mean-std-00196400.npy +3 -0
  47. 00196/img-mean-std-00196407.npy +3 -0
  48. 00196/img-mean-std-00196409.npy +3 -0
  49. 00196/img-mean-std-00196432.npy +3 -0
  50. 00196/img-mean-std-00196435.npy +3 -0
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