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  1. train/2n8kARJN3HM_15/segment_nyu_160.npy +3 -0
  2. train/B6ByNegPMKs_20/normal.npy +3 -0
  3. train/SN83YJsR3w2_46/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  4. train/vyrNrziPKCB_30/normal.npy +3 -0
  5. val/EU6Fwq7SyZv_09/images.zip +3 -0
  6. val/QUCTc6BB5sX_19/images.zip +3 -0
  7. val/QUCTc6BB5sX_31/scale.npy +3 -0
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  9. val/TbHJrupSAjP_24/images.zip +3 -0
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  11. val/X7HyMhZNoso_00/quat.npy +3 -0
  12. val/X7HyMhZNoso_04/pc_segment.npy +3 -0
  13. val/Z6MFQCViBuw_09/segment.npy +3 -0
  14. val/Z6MFQCViBuw_13/normal.npy +3 -0
  15. val/oLBMNvg9in8_07/color.npy +3 -0
  16. val/oLBMNvg9in8_07/segment_nyu_160.npy +3 -0
  17. val/oLBMNvg9in8_10/normal.npy +3 -0
  18. val/oLBMNvg9in8_25/images.zip +3 -0
  19. val/x8F5xyUWy9e_09/coord.npy +3 -0
  20. val/zsNo4HB9uLZ_15/pc_segment.npy +3 -0
  21. val/zsNo4HB9uLZ_15/segment.npy +3 -0
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