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  1. 00737/img-mean-std-00737040.npy +3 -0
  2. 00737/img-mean-std-00737047.npy +3 -0
  3. 00737/img-mean-std-00737091.npy +3 -0
  4. 00737/img-mean-std-00737096.npy +3 -0
  5. 00737/img-mean-std-00737118.npy +3 -0
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  9. 00737/img-mean-std-00737274.npy +3 -0
  10. 00737/img-mean-std-00737322.npy +3 -0
  11. 00737/img-mean-std-00737350.npy +3 -0
  12. 00737/img-mean-std-00737357.npy +3 -0
  13. 00737/img-mean-std-00737381.npy +3 -0
  14. 00737/img-mean-std-00737386.npy +3 -0
  15. 00737/img-mean-std-00737421.npy +3 -0
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  17. 00737/img-mean-std-00737485.npy +3 -0
  18. 00737/img-mean-std-00737502.npy +3 -0
  19. 00737/img-mean-std-00737579.npy +3 -0
  20. 00737/img-mean-std-00737612.npy +3 -0
  21. 00737/img-mean-std-00737615.npy +3 -0
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  23. 00737/img-mean-std-00737731.npy +3 -0
  24. 00737/img-mean-std-00737736.npy +3 -0
  25. 00737/img-mean-std-00737743.npy +3 -0
  26. 00737/img-mean-std-00737828.npy +3 -0
  27. 00737/img-mean-std-00737853.npy +3 -0
  28. 00737/img-mean-std-00737882.npy +3 -0
  29. 00737/img-mean-std-00737885.npy +3 -0
  30. 00737/img-mean-std-00737970.npy +3 -0
  31. 00737/img-mean-std-00737977.npy +3 -0
  32. 00740/img-mean-std-00740011.npy +3 -0
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  34. 00740/img-mean-std-00740018.npy +3 -0
  35. 00740/img-mean-std-00740023.npy +3 -0
  36. 00740/img-mean-std-00740024.npy +3 -0
  37. 00740/img-mean-std-00740051.npy +3 -0
  38. 00740/img-mean-std-00740058.npy +3 -0
  39. 00740/img-mean-std-00740063.npy +3 -0
  40. 00740/img-mean-std-00740064.npy +3 -0
  41. 00740/img-mean-std-00740080.npy +3 -0
  42. 00740/img-mean-std-00740089.npy +3 -0
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  49. 00740/img-mean-std-00740147.npy +3 -0
  50. 00740/img-mean-std-00740149.npy +3 -0
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