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  1. 00022/img-mean-std-00022008.npy +3 -0
  2. 00022/img-mean-std-00022022.npy +3 -0
  3. 00022/img-mean-std-00022025.npy +3 -0
  4. 00022/img-mean-std-00022033.npy +3 -0
  5. 00022/img-mean-std-00022034.npy +3 -0
  6. 00022/img-mean-std-00022041.npy +3 -0
  7. 00022/img-mean-std-00022046.npy +3 -0
  8. 00022/img-mean-std-00022048.npy +3 -0
  9. 00022/img-mean-std-00022050.npy +3 -0
  10. 00022/img-mean-std-00022059.npy +3 -0
  11. 00022/img-mean-std-00022062.npy +3 -0
  12. 00022/img-mean-std-00022073.npy +3 -0
  13. 00022/img-mean-std-00022074.npy +3 -0
  14. 00022/img-mean-std-00022081.npy +3 -0
  15. 00022/img-mean-std-00022088.npy +3 -0
  16. 00022/img-mean-std-00022090.npy +3 -0
  17. 00022/img-mean-std-00022097.npy +3 -0
  18. 00022/img-mean-std-00022099.npy +3 -0
  19. 00022/img-mean-std-00022101.npy +3 -0
  20. 00022/img-mean-std-00022106.npy +3 -0
  21. 00022/img-mean-std-00022108.npy +3 -0
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  24. 00022/img-mean-std-00022119.npy +3 -0
  25. 00022/img-mean-std-00022157.npy +3 -0
  26. 00022/img-mean-std-00022162.npy +3 -0
  27. 00022/img-mean-std-00022165.npy +3 -0
  28. 00022/img-mean-std-00022173.npy +3 -0
  29. 00022/img-mean-std-00022174.npy +3 -0
  30. 00022/img-mean-std-00022181.npy +3 -0
  31. 00022/img-mean-std-00022186.npy +3 -0
  32. 00022/img-mean-std-00022200.npy +3 -0
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  34. 00022/img-mean-std-00022209.npy +3 -0
  35. 00022/img-mean-std-00022211.npy +3 -0
  36. 00022/img-mean-std-00022216.npy +3 -0
  37. 00022/img-mean-std-00022235.npy +3 -0
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  39. 00022/img-mean-std-00022247.npy +3 -0
  40. 00022/img-mean-std-00022263.npy +3 -0
  41. 00022/img-mean-std-00022264.npy +3 -0
  42. 00022/img-mean-std-00022272.npy +3 -0
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  49. 00022/img-mean-std-00022332.npy +3 -0
  50. 00022/img-mean-std-00022335.npy +3 -0
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