Dataset Viewer
Auto-converted to Parquet
frames
listlengths
4
4
camera_angle_x
float64
1.4
1.41
camera_angle_y
float64
1.11
1.11
[ { "file_path": "./data/m_0_0", "time": 0, "rotation": 0, "transform_matrix": [ [ 0.9434546017509048, -0.07639730548521206, 0.32257846510522153, 6.4606981722533625 ], [ -0.33149986386933605, -0.22071362962819152, 0.9172749500291398, 14.15802429228334 ], [ 0.001120129301955597, -0.9723419899453837, -0.23355898591019403, -8.66097121001585 ], [ 0, 0, 0, 1 ] ] }, { "file_path": "./data/m_1_0", "time": 0, "rotation": 0, "transform_matrix": [ [ 0.4164780881149865, 0.1984468216236855, -0.8872231179965626, -10.429752522097452 ], [ 0.9091197424175153, -0.09828761568210706, 0.4047725763317437, 8.343859767140751 ], [ -0.006877213592461795, -0.9751709612119218, -0.221346561622764, -8.697156705204304 ], [ 0, 0, 0, 1 ] ] }, { "file_path": "./data/m_2_0", "time": 0, "rotation": 0, "transform_matrix": [ [ -0.901678172923761, 0.09932076592649278, -0.42084659666990676, -3.6187580075809143 ], [ 0.4323185129550482, 0.2268390792311562, -0.8727225993922106, -10.677703411337221 ], [ 0.008784977473173278, -0.9688546937437709, -0.24747405233975472, -8.66050803310368 ], [ 0, 0, 0, 1 ] ] }, { "file_path": "./data/m_3_0", "time": 0, "rotation": 0, "transform_matrix": [ [ -0.44082954022873244, -0.20555177523000956, 0.8737378234696698, 14.469341779054112 ], [ -0.8975426725525311, 0.09086184195786817, -0.4314641081518637, -4.513921504917731 ], [ 0.009298785349935723, -0.9744191056089853, -0.22454607370248258, -8.737425821961043 ], [ 0, 0, 0, 1 ] ] } ]
1.406866
1.113034
[ { "file_path": "./data/m_0_0", "time": 0, "rotation": 0, "transform_matrix": [ [ -0.7516773763955982, -0.15837397639875606, 0.6402333991714868, 15.237180472615622 ], [ -0.6594942480109824, 0.19073712857650393, -0.7271084407588864, -11.0686562863539 ], [ -0.0069612251406598324, -0.9687812092428489, -0.24781951085922316, -8.88932000654432 ], [ 0, 0, 0, 1 ] ] }, { "file_path": "./data/m_1_0", "time": 0, "rotation": 0, "transform_matrix": [ [ 0.7702866713171024, -0.1611355723741785, 0.6170038665250519, 15.879176230746316 ], [ -0.6375964289214785, -0.21185620425568055, 0.7406670929270134, 13.657878148588576 ], [ 0.011368281215562936, -0.9639254514919819, -0.26592947589197896, -8.698716457977573 ], [ 0, 0, 0, 1 ] ] }, { "file_path": "./data/m_2_0", "time": 0, "rotation": 0, "transform_matrix": [ [ 0.7973854079298756, 0.15330727184827325, -0.5836723324083004, -7.181958654542106 ], [ 0.6034703585141503, -0.2028808059796562, 0.7711438938096105, 13.467921699462586 ], [ -0.00019394666461597376, -0.9671278400312364, -0.25429058854233383, -8.656140295956039 ], [ 0, 0, 0, 1 ] ] }, { "file_path": "./data/m_3_0", "time": 0, "rotation": 0, "transform_matrix": [ [ -0.6937269051580761, 0.17654120819145352, -0.6982665557436496, -8.212561751953164 ], [ 0.7202037948202702, 0.17950287445893565, -0.6701382036471741, -11.705670448558521 ], [ 0.007033845767403124, -0.967787125287003, -0.2516716216470162, -8.58786811347848 ], [ 0, 0, 0, 1 ] ] } ]
1.406866
1.113034
[ { "file_path": "./data/m_0_0", "time": 0, "rotation": 0, "transform_matrix": [ [ 0.8566686289211609, -0.1206002383627148, 0.5015719716343754, 9.714696557527622 ], [ -0.5158666760108059, -0.20151315269628295, 0.8326307836442073, 13.584497851638256 ], [ 0.0006578783325082438, -0.9720329376092463, -0.23484364032018984, -8.676846710840923 ], [ 0, 0, 0, 1 ] ] }, { "file_path": "./data/m_1_0", "time": 0, "rotation": 0, "transform_matrix": [ [ 0.5932126655366677, 0.17350444794627523, -0.7861265419700185, -8.023424099757737 ], [ 0.8049991512083379, -0.13835416552189905, 0.5769180976850997, 11.307067525280331 ], [ -0.008666025659809728, -0.9750663215523326, -0.22174437664496985, -8.707807962490943 ], [ 0, 0, 0, 1 ] ] }, { "file_path": "./data/m_2_0", "time": 0, "rotation": 0, "transform_matrix": [ [ -0.7956070607562241, 0.14374222844712883, -0.588513021636646, -5.192482194845916 ], [ 0.6057670949460434, 0.20072088888994233, -0.7699073654952672, -8.71578578920961 ], [ 0.007458656412065667, -0.9690455595710065, -0.24676926858959147, -8.650332663406097 ], [ 0, 0, 0, 1 ] ] }, { "file_path": "./data/m_3_0", "time": 0, "rotation": 0, "transform_matrix": [ [ -0.6134213846878384, -0.18318060361895622, 0.76821811438253, 13.780109188495409 ], [ -0.7896983195488798, 0.13053563356934617, -0.5994472557867994, -6.330827994649157 ], [ 0.009527271872380838, -0.9743743196669563, -0.22473076394705171, -8.735514246265348 ], [ 0, 0, 0, 1 ] ] } ]
1.401624
1.106936
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

Pixie Dataset

This dataset contains data and pre-trained models for the Pixie project.

Contents

  • checkpoints_continuous_mse/: Continuous material property prediction model checkpoints
  • checkpoints_discrete/: Discrete material classification model checkpoints
  • real_scene_data/: Real scene data for evaluation
  • real_scene_models/: Trained models for real scenes

Usage

Use the download script in the Pixie repository to automatically download this data:

python scripts/download_data.py

Citation

If you use this data, please cite the Pixie paper:

@inproceedings{TODO
}
Downloads last month
203