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  1. test/2t7WUuJeko7_00/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  2. test/5ZKStnWn8Zo_07/scale.npy +3 -0
  3. test/ARNzJeq3xxb_11/quat.npy +3 -0
  4. test/RPmz2sHmrrY_07/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  5. test/UwV83HsGsw3_11/scale.npy +3 -0
  6. test/WYY7iVyf5p8_13/normal.npy +3 -0
  7. test/fzynW3qQPVF_17/normal.npy +3 -0
  8. test/fzynW3qQPVF_24/visiable_gaussian_masks_per_frame.npy +3 -0
  9. test/pa4otMbVnkk_07/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  10. test/q9vSo1VnCiC_09/quat.npy +3 -0
  11. test/q9vSo1VnCiC_18/visiable_gaussian_masks_per_frame.npy +3 -0
  12. test/rqfALeAoiTq_08/scale.npy +3 -0
  13. test/wc2JMjhGNzB_27/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  14. test/wc2JMjhGNzB_30/quat.npy +3 -0
  15. test/yqstnuAEVhm_05/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  16. test/yqstnuAEVhm_24/visiable_gaussian_masks_per_frame.npy +3 -0
  17. train/17DRP5sb8fy_03/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  18. train/1pXnuDYAj8r_17/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  19. train/1pXnuDYAj8r_23/visiable_gaussian_masks_per_frame.npy +3 -0
  20. train/29hnd4uzFmX_04/opacity.npy +3 -0
  21. train/29hnd4uzFmX_11/segment_nyu_160.npy +3 -0
  22. train/2n8kARJN3HM_01/quat.npy +3 -0
  23. train/2n8kARJN3HM_05/coord.npy +3 -0
  24. train/2n8kARJN3HM_17/coord.npy +3 -0
  25. train/2n8kARJN3HM_19/scale.npy +3 -0
  26. train/5q7pvUzZiYa_02/visiable_gaussian_masks_per_frame.npy +3 -0
  27. train/759xd9YjKW5_15/visiable_gaussian_masks_per_frame.npy +3 -0
  28. train/7y3sRwLe3Va_03/visiable_gaussian_masks_per_frame.npy +3 -0
  29. train/7y3sRwLe3Va_04/color.npy +3 -0
  30. train/7y3sRwLe3Va_04/images.zip +3 -0
  31. train/7y3sRwLe3Va_04/pc_segment_nyu_160.npy +3 -0
  32. train/7y3sRwLe3Va_04/visiable_gaussian_masks_per_frame.npy +3 -0
  33. train/7y3sRwLe3Va_13/coord.npy +3 -0
  34. train/7y3sRwLe3Va_14/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  35. train/7y3sRwLe3Va_21/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  36. train/8WUmhLawc2A_13/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  37. train/B6ByNegPMKs_32/coord.npy +3 -0
  38. train/B6ByNegPMKs_52/scale.npy +3 -0
  39. train/B6ByNegPMKs_62/visiable_gaussian_masks_per_frame_greedy_augmented.npy +3 -0
  40. train/B6ByNegPMKs_64/color.npy +3 -0
  41. train/B6ByNegPMKs_74/normal.npy +3 -0
  42. train/B6ByNegPMKs_74/quat.npy +3 -0
  43. train/B6ByNegPMKs_74/segment.npy +3 -0
  44. train/B6ByNegPMKs_74/visiable_gaussian_masks_per_frame.npy +3 -0
  45. train/B6ByNegPMKs_76/segment_nyu_160.npy +3 -0
  46. train/B6ByNegPMKs_76/visiable_gaussian_masks_per_frame.npy +3 -0
  47. train/D7N2EKCX4Sj_06/scale.npy +3 -0
  48. train/E9uDoFAP3SH_05/quat.npy +3 -0
  49. train/E9uDoFAP3SH_05/scale.npy +3 -0
  50. train/E9uDoFAP3SH_05/segment.npy +3 -0
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