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  1. 00051/img-mean-std-00051025.npy +3 -0
  2. 00051/img-mean-std-00051050.npy +3 -0
  3. 00051/img-mean-std-00051057.npy +3 -0
  4. 00051/img-mean-std-00051059.npy +3 -0
  5. 00051/img-mean-std-00051081.npy +3 -0
  6. 00051/img-mean-std-00051086.npy +3 -0
  7. 00051/img-mean-std-00051088.npy +3 -0
  8. 00051/img-mean-std-00051101.npy +3 -0
  9. 00051/img-mean-std-00051106.npy +3 -0
  10. 00051/img-mean-std-00051108.npy +3 -0
  11. 00051/img-mean-std-00051139.npy +3 -0
  12. 00051/img-mean-std-00051173.npy +3 -0
  13. 00051/img-mean-std-00051174.npy +3 -0
  14. 00051/img-mean-std-00051211.npy +3 -0
  15. 00051/img-mean-std-00051216.npy +3 -0
  16. 00051/img-mean-std-00051218.npy +3 -0
  17. 00051/img-mean-std-00051263.npy +3 -0
  18. 00051/img-mean-std-00051264.npy +3 -0
  19. 00051/img-mean-std-00051332.npy +3 -0
  20. 00051/img-mean-std-00051340.npy +3 -0
  21. 00051/img-mean-std-00051347.npy +3 -0
  22. 00051/img-mean-std-00051349.npy +3 -0
  23. 00051/img-mean-std-00051391.npy +3 -0
  24. 00051/img-mean-std-00051396.npy +3 -0
  25. 00051/img-mean-std-00051398.npy +3 -0
  26. 00051/img-mean-std-00051400.npy +3 -0
  27. 00051/img-mean-std-00051431.npy +3 -0
  28. 00051/img-mean-std-00051436.npy +3 -0
  29. 00051/img-mean-std-00051438.npy +3 -0
  30. 00051/img-mean-std-00051444.npy +3 -0
  31. 00051/img-mean-std-00051495.npy +3 -0
  32. 00051/img-mean-std-00051512.npy +3 -0
  33. 00051/img-mean-std-00051515.npy +3 -0
  34. 00051/img-mean-std-00051558.npy +3 -0
  35. 00051/img-mean-std-00051560.npy +3 -0
  36. 00051/img-mean-std-00051567.npy +3 -0
  37. 00051/img-mean-std-00051569.npy +3 -0
  38. 00051/img-mean-std-00051589.npy +3 -0
  39. 00051/img-mean-std-00051602.npy +3 -0
  40. 00051/img-mean-std-00051605.npy +3 -0
  41. 00051/img-mean-std-00051670.npy +3 -0
  42. 00051/img-mean-std-00051677.npy +3 -0
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  49. 00051/img-mean-std-00051785.npy +3 -0
  50. 00051/img-mean-std-00051836.npy +3 -0
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