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  1. 00073/img-mean-std-00073025.npy +3 -0
  2. 00073/img-mean-std-00073050.npy +3 -0
  3. 00073/img-mean-std-00073057.npy +3 -0
  4. 00073/img-mean-std-00073059.npy +3 -0
  5. 00073/img-mean-std-00073081.npy +3 -0
  6. 00073/img-mean-std-00073086.npy +3 -0
  7. 00073/img-mean-std-00073108.npy +3 -0
  8. 00073/img-mean-std-00073173.npy +3 -0
  9. 00073/img-mean-std-00073174.npy +3 -0
  10. 00073/img-mean-std-00073199.npy +3 -0
  11. 00073/img-mean-std-00073211.npy +3 -0
  12. 00073/img-mean-std-00073216.npy +3 -0
  13. 00073/img-mean-std-00073218.npy +3 -0
  14. 00073/img-mean-std-00073263.npy +3 -0
  15. 00073/img-mean-std-00073264.npy +3 -0
  16. 00073/img-mean-std-00073332.npy +3 -0
  17. 00073/img-mean-std-00073340.npy +3 -0
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  19. 00073/img-mean-std-00073349.npy +3 -0
  20. 00073/img-mean-std-00073391.npy +3 -0
  21. 00073/img-mean-std-00073396.npy +3 -0
  22. 00073/img-mean-std-00073431.npy +3 -0
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  24. 00073/img-mean-std-00073438.npy +3 -0
  25. 00073/img-mean-std-00073444.npy +3 -0
  26. 00073/img-mean-std-00073512.npy +3 -0
  27. 00073/img-mean-std-00073515.npy +3 -0
  28. 00073/img-mean-std-00073529.npy +3 -0
  29. 00073/img-mean-std-00073569.npy +3 -0
  30. 00073/img-mean-std-00073602.npy +3 -0
  31. 00073/img-mean-std-00073605.npy +3 -0
  32. 00073/img-mean-std-00073670.npy +3 -0
  33. 00073/img-mean-std-00073677.npy +3 -0
  34. 00073/img-mean-std-00073679.npy +3 -0
  35. 00073/img-mean-std-00073721.npy +3 -0
  36. 00073/img-mean-std-00073726.npy +3 -0
  37. 00073/img-mean-std-00073728.npy +3 -0
  38. 00073/img-mean-std-00073782.npy +3 -0
  39. 00073/img-mean-std-00073831.npy +3 -0
  40. 00073/img-mean-std-00073836.npy +3 -0
  41. 00073/img-mean-std-00073838.npy +3 -0
  42. 00073/img-mean-std-00073843.npy +3 -0
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  49. 00073/img-mean-std-00073969.npy +3 -0
  50. 00963/img-mean-std-00963000.npy +3 -0
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