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  1. 00299/img-mean-std-00299035.npy +3 -0
  2. 00299/img-mean-std-00299049.npy +3 -0
  3. 00299/img-mean-std-00299098.npy +3 -0
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  5. 00299/img-mean-std-00299206.npy +3 -0
  6. 00299/img-mean-std-00299322.npy +3 -0
  7. 00299/img-mean-std-00299359.npy +3 -0
  8. 00299/img-mean-std-00299388.npy +3 -0
  9. 00299/img-mean-std-00299428.npy +3 -0
  10. 00299/img-mean-std-00299454.npy +3 -0
  11. 00299/img-mean-std-00299485.npy +3 -0
  12. 00299/img-mean-std-00299570.npy +3 -0
  13. 00299/img-mean-std-00299660.npy +3 -0
  14. 00299/img-mean-std-00299667.npy +3 -0
  15. 00299/img-mean-std-00299738.npy +3 -0
  16. 00299/img-mean-std-00299743.npy +3 -0
  17. 00299/img-mean-std-00299792.npy +3 -0
  18. 00299/img-mean-std-00299826.npy +3 -0
  19. 00299/img-mean-std-00299902.npy +3 -0
  20. 00370/img-mean-std-00370002.npy +3 -0
  21. 00370/img-mean-std-00370005.npy +3 -0
  22. 00370/img-mean-std-00370021.npy +3 -0
  23. 00370/img-mean-std-00370030.npy +3 -0
  24. 00370/img-mean-std-00370037.npy +3 -0
  25. 00370/img-mean-std-00370039.npy +3 -0
  26. 00370/img-mean-std-00370042.npy +3 -0
  27. 00370/img-mean-std-00370045.npy +3 -0
  28. 00370/img-mean-std-00370070.npy +3 -0
  29. 00370/img-mean-std-00370077.npy +3 -0
  30. 00370/img-mean-std-00370079.npy +3 -0
  31. 00370/img-mean-std-00370093.npy +3 -0
  32. 00370/img-mean-std-00370094.npy +3 -0
  33. 00370/img-mean-std-00370105.npy +3 -0
  34. 00370/img-mean-std-00370113.npy +3 -0
  35. 00370/img-mean-std-00370114.npy +3 -0
  36. 00370/img-mean-std-00370121.npy +3 -0
  37. 00370/img-mean-std-00370126.npy +3 -0
  38. 00370/img-mean-std-00370128.npy +3 -0
  39. 00370/img-mean-std-00370153.npy +3 -0
  40. 00370/img-mean-std-00370154.npy +3 -0
  41. 00370/img-mean-std-00370161.npy +3 -0
  42. 00370/img-mean-std-00370166.npy +3 -0
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  46. 00370/img-mean-std-00370203.npy +3 -0
  47. 00370/img-mean-std-00370212.npy +3 -0
  48. 00370/img-mean-std-00370231.npy +3 -0
  49. 00370/img-mean-std-00370236.npy +3 -0
  50. 00370/img-mean-std-00370238.npy +3 -0
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