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Update base data

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  1. train/data/{base_data/contact_data/arctic/contact_data_arctic.npy → base_data.tar.gz} +2 -2
  2. train/data/base_data/contact_data/arctic/contact_means_arctic.npy +0 -3
  3. train/data/base_data/contact_data/decaf/contact_data_decaf.npy +0 -3
  4. train/data/base_data/contact_data/decaf/contact_means_decaf.npy +0 -3
  5. train/data/base_data/contact_data/dexycb/contact_data_dexycb.npy +0 -3
  6. train/data/base_data/contact_data/dexycb/contact_means_dexycb.npy +0 -3
  7. train/data/base_data/contact_data/h2o/contact_data_h2o.npy +0 -3
  8. train/data/base_data/contact_data/h2o/contact_means_h2o.npy +0 -3
  9. train/data/base_data/contact_data/h2o3d/contact_data_h2o3d.npy +0 -3
  10. train/data/base_data/contact_data/h2o3d/contact_means_h2o3d.npy +0 -3
  11. train/data/base_data/contact_data/hi4d/contact_data_hi4d.npy +0 -3
  12. train/data/base_data/contact_data/hi4d/contact_means_hi4d.npy +0 -3
  13. train/data/base_data/contact_data/hic/contact_data_hic.npy +0 -3
  14. train/data/base_data/contact_data/hic/contact_means_hic.npy +0 -3
  15. train/data/base_data/contact_data/ho3d/contact_data_ho3d.npy +0 -3
  16. train/data/base_data/contact_data/ho3d/contact_means_ho3d.npy +0 -3
  17. train/data/base_data/contact_data/hoi4d/contact_data_hoi4d.npy +0 -3
  18. train/data/base_data/contact_data/hoi4d/contact_means_hoi4d.npy +0 -3
  19. train/data/base_data/contact_data/interhand26m/contact_data_interhand26m.npy +0 -3
  20. train/data/base_data/contact_data/interhand26m/contact_means_interhand26m.npy +0 -3
  21. train/data/base_data/contact_data/mow/contact_data_mow.npy +0 -3
  22. train/data/base_data/contact_data/mow/contact_means_mow.npy +0 -3
  23. train/data/base_data/contact_data/obman/contact_data_obman.npy +0 -3
  24. train/data/base_data/contact_data/obman/contact_means_obman.npy +0 -3
  25. train/data/base_data/contact_data/prox/contact_data_prox.npy +0 -3
  26. train/data/base_data/contact_data/prox/contact_means_prox.npy +0 -3
  27. train/data/base_data/contact_data/rich/contact_data_rich.npy +0 -3
  28. train/data/base_data/contact_data/rich/contact_means_rich.npy +0 -3
  29. train/data/base_data/conversions/smpl_to_smplx.pkl +0 -3
  30. train/data/base_data/conversions/smplx_to_mano.pkl +0 -3
  31. train/data/base_data/conversions/smplx_to_smpl.pkl +0 -3
  32. train/data/base_data/demo_data/hand_landmarker.task +0 -3
  33. train/data/base_data/human_models/mano/LICENSE.txt +0 -3
  34. train/data/base_data/human_models/mano/MANO_LEFT.pkl +0 -3
  35. train/data/base_data/human_models/mano/MANO_RIGHT.pkl +0 -3
  36. train/data/base_data/human_models/mano/V_regressor_336.npy +0 -3
  37. train/data/base_data/human_models/mano/V_regressor_84.npy +0 -3
  38. train/data/base_data/human_models/mano/info.txt +0 -3
  39. train/data/base_data/pretrained_models/hamer/hamer.ckpt +0 -3
  40. train/data/base_data/pretrained_models/hamer/train.yaml +0 -3
  41. train/data/base_data/pretrained_models/hamer/vitpose_backbone.pth +0 -3
  42. train/data/base_data/pretrained_models/handoccnet/snapshot_demo.pth.tar +0 -3
  43. train/data/base_data/pretrained_models/hrnet/cls_hrnet_w32_sgd_lr5e-2_wd1e-4_bs32_x100.yaml +0 -3
  44. train/data/base_data/pretrained_models/hrnet/cls_hrnet_w40_sgd_lr5e-2_wd1e-4_bs32_x100.yaml +0 -3
  45. train/data/base_data/pretrained_models/hrnet/cls_hrnet_w48_sgd_lr5e-2_wd1e-4_bs32_x100.yaml +0 -3
  46. train/data/base_data/pretrained_models/hrnet/cls_hrnet_w64_sgd_lr5e-2_wd1e-4_bs32_x100.yaml +0 -3
  47. train/data/base_data/pretrained_models/hrnet/hrnet_w32-36af842e.pth +0 -3
  48. train/data/base_data/pretrained_models/hrnet/hrnet_w48-8ef0771d.pth +0 -3
  49. train/data/base_data/pretrained_models/pose2pose/hand/snapshot_12.pth.tar +0 -3
train/data/{base_data/contact_data/arctic/contact_data_arctic.npy → base_data.tar.gz} RENAMED
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