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  1. test/5ZKStnWn8Zo_12/visiable_gaussian_masks_per_frame.npy +3 -0
  2. test/5ZKStnWn8Zo_13/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  3. test/ARNzJeq3xxb_09/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  4. test/UwV83HsGsw3_04/normal.npy +3 -0
  5. test/UwV83HsGsw3_04/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  6. test/UwV83HsGsw3_06/opacity.npy +3 -0
  7. test/WYY7iVyf5p8_20/pc_segment_nyu_160.npy +3 -0
  8. test/YFuZgdQ5vWj_10/visiable_gaussian_masks_per_frame.npy +3 -0
  9. test/fzynW3qQPVF_07/visiable_gaussian_masks_per_frame.npy +3 -0
  10. test/fzynW3qQPVF_28/visiable_gaussian_masks_per_frame.npy +3 -0
  11. test/gxdoqLR6rwA_00/visiable_gaussian_masks_per_frame.npy +3 -0
  12. test/pa4otMbVnkk_00/normal.npy +3 -0
  13. test/pa4otMbVnkk_01/coord.npy +3 -0
  14. test/pa4otMbVnkk_10/visiable_gaussian_masks_per_frame.npy +3 -0
  15. test/q9vSo1VnCiC_10/visiable_gaussian_masks_per_frame.npy +3 -0
  16. test/wc2JMjhGNzB_26/visiable_gaussian_masks_per_frame.npy +3 -0
  17. test/wc2JMjhGNzB_28/visiable_gaussian_masks_per_frame.npy +3 -0
  18. test/wc2JMjhGNzB_30/visiable_gaussian_masks_per_frame.npy +3 -0
  19. test/wc2JMjhGNzB_34/visiable_gaussian_masks_per_frame.npy +3 -0
  20. train/17DRP5sb8fy_08/segment_nyu_160.npy +3 -0
  21. train/1LXtFkjw3qL_00/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  22. train/1pXnuDYAj8r_05/opacity.npy +3 -0
  23. train/1pXnuDYAj8r_05/segment.npy +3 -0
  24. train/1pXnuDYAj8r_05/segment_nyu_160.npy +3 -0
  25. train/5LpN3gDmAk7_11/normal.npy +3 -0
  26. train/7y3sRwLe3Va_30/visiable_gaussian_masks_per_frame.npy +3 -0
  27. train/7y3sRwLe3Va_34/scale.npy +3 -0
  28. train/7y3sRwLe3Va_34/visiable_gaussian_masks_per_frame.npy +3 -0
  29. train/82sE5b5pLXE_07/quat.npy +3 -0
  30. train/82sE5b5pLXE_07/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  31. train/82sE5b5pLXE_10/coord.npy +3 -0
  32. train/82sE5b5pLXE_10/pc_segment_nyu_160.npy +3 -0
  33. train/82sE5b5pLXE_10/scale.npy +3 -0
  34. train/82sE5b5pLXE_10/visiable_gaussian_masks_per_frame.npy +3 -0
  35. train/82sE5b5pLXE_10/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  36. train/B6ByNegPMKs_23/normal.npy +3 -0
  37. train/B6ByNegPMKs_61/color.npy +3 -0
  38. train/B6ByNegPMKs_61/quat.npy +3 -0
  39. train/B6ByNegPMKs_61/segment.npy +3 -0
  40. train/B6ByNegPMKs_61/segment_nyu_160.npy +3 -0
  41. train/B6ByNegPMKs_61/visiable_gaussian_masks_per_frame.npy +3 -0
  42. train/D7G3Y4RVNrH_00/visiable_gaussian_masks_per_frame.npy +3 -0
  43. train/D7N2EKCX4Sj_18/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  44. train/E9uDoFAP3SH_01/visiable_gaussian_masks_per_frame.npy +3 -0
  45. train/E9uDoFAP3SH_14/normal.npy +3 -0
  46. train/E9uDoFAP3SH_14/opacity.npy +3 -0
  47. train/EDJbREhghzL_00/segment_nyu_160.npy +3 -0
  48. train/HxpKQynjfin_07/quat.npy +3 -0
  49. train/JF19kD82Mey_10/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  50. train/JeFG25nYj2p_07/color.npy +3 -0
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