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  1. test/5ZKStnWn8Zo_26/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  2. test/ARNzJeq3xxb_02/quat.npy +3 -0
  3. test/ARNzJeq3xxb_17/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  4. test/Vt2qJdWjCF2_17/visiable_gaussian_masks_per_frame.npy +3 -0
  5. test/WYY7iVyf5p8_06/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  6. test/YFuZgdQ5vWj_03/visiable_gaussian_masks_per_frame.npy +3 -0
  7. test/fzynW3qQPVF_24/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  8. test/jtcxE69GiFV_17/visiable_gaussian_masks_per_frame.npy +3 -0
  9. test/pa4otMbVnkk_35/visiable_gaussian_masks_per_frame.npy +3 -0
  10. test/q9vSo1VnCiC_19/visiable_gaussian_masks_per_frame.npy +3 -0
  11. test/rqfALeAoiTq_03/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  12. test/rqfALeAoiTq_15/visiable_gaussian_masks_per_frame.npy +3 -0
  13. test/rqfALeAoiTq_18/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  14. test/yqstnuAEVhm_18/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  15. train/1LXtFkjw3qL_00/color.npy +3 -0
  16. train/1LXtFkjw3qL_00/segment.npy +3 -0
  17. train/1pXnuDYAj8r_03/images.zip +3 -0
  18. train/1pXnuDYAj8r_03/segment.npy +3 -0
  19. train/1pXnuDYAj8r_03/segment_nyu_160.npy +3 -0
  20. train/1pXnuDYAj8r_10/coord.npy +3 -0
  21. train/1pXnuDYAj8r_19/segment_nyu_160.npy +3 -0
  22. train/29hnd4uzFmX_11/coord.npy +3 -0
  23. train/2n8kARJN3HM_19/quat.npy +3 -0
  24. train/5LpN3gDmAk7_11/quat.npy +3 -0
  25. train/5LpN3gDmAk7_17/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  26. train/759xd9YjKW5_13/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  27. train/7y3sRwLe3Va_02/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  28. train/82sE5b5pLXE_03/quat.npy +3 -0
  29. train/82sE5b5pLXE_08/segment_nyu_160.npy +3 -0
  30. train/82sE5b5pLXE_14/normal.npy +3 -0
  31. train/8WUmhLawc2A_10/normal.npy +3 -0
  32. train/B6ByNegPMKs_01/quat.npy +3 -0
  33. train/B6ByNegPMKs_19/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  34. train/B6ByNegPMKs_40/color.npy +3 -0
  35. train/B6ByNegPMKs_40/images.zip +3 -0
  36. train/B6ByNegPMKs_40/normal.npy +3 -0
  37. train/B6ByNegPMKs_59/normal.npy +3 -0
  38. train/B6ByNegPMKs_59/quat.npy +3 -0
  39. train/D7N2EKCX4Sj_07/scale.npy +3 -0
  40. train/D7N2EKCX4Sj_11/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  41. train/D7N2EKCX4Sj_18/normal.npy +3 -0
  42. train/D7N2EKCX4Sj_19/coord.npy +3 -0
  43. train/D7N2EKCX4Sj_34/pc_segment_nyu_160.npy +3 -0
  44. train/D7N2EKCX4Sj_34/segment.npy +3 -0
  45. train/E9uDoFAP3SH_14/segment_nyu_160.npy +3 -0
  46. train/HxpKQynjfin_04/coord.npy +3 -0
  47. train/JF19kD82Mey_10/opacity.npy +3 -0
  48. train/JF19kD82Mey_10/segment_nyu_160.npy +3 -0
  49. train/JeFG25nYj2p_03/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  50. train/JeFG25nYj2p_08/visiable_gaussian_masks_per_frame.npy +3 -0
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