examples/training_sample/processed/00000002/train_sample.json

{
  "t0": 9,
  "P9_idx": [
    0,
    1,
    2,
    3,
    4,
    5,
    6,
    7,
    8
  ],
  "P1_idx": [
    8
  ],
  "T_idx": [
    9,
    10,
    11,
    12,
    13,
    14,
    15,
    16,
    17,
    18,
    19,
    20,
    21,
    22,
    23,
    24,
    25,
    26,
    27,
    28,
    29,
    30,
    31,
    32,
    33,
    34,
    35,
    36,
    37,
    38,
    39,
    40,
    41,
    42,
    43,
    44,
    45,
    46,
    47,
    48,
    49,
    50,
    51,
    52,
    53,
    54,
    55,
    56,
    57,
    58,
    59,
    60,
    61,
    62,
    63,
    64,
    65,
    66,
    67,
    68,
    69,
    70,
    71,
    72,
    73
  ],
  "C_idx": [
    75,
    76,
    77,
    78,
    79,
    80,
    81,
    82,
    83,
    84,
    85,
    86,
    87,
    88,
    89,
    90,
    91,
    92,
    93,
    94,
    95,
    96,
    97,
    98,
    99,
    100,
    101,
    102,
    103,
    104,
    105,
    106,
    107,
    108,
    109,
    110,
    111,
    112,
    113,
    114,
    115,
    116,
    117,
    118,
    119,
    120
  ],
  "scene_idx": 105,
  "R_idx": [
    75,
    77,
    81,
    79,
    83,
    85,
    87
  ],
  "R_iou": [
    0.6607234699125665,
    0.5335322757970787,
    0.4243924392439244,
    0.41892492225677475,
    0.35327022375215145,
    0.30494350282485877,
    0.29902030384779216
  ],
  "R_stats": {
    "threshold": 0.04,
    "max_refs": 7,
    "stride": 2,
    "voxel_size": 0.01,
    "num_targets": 65,
    "num_candidates": 23,
    "best_iou": 0.6607234699125665,
    "avg_iou": 0.23296677640349647
  },
  "projection_channels": [
    "rgb"
  ],
  "output_size": [
    480,
    832
  ],
  "add_fg_to_projection": true,
  "has_fg": true,
  "src_aug_applied": false,
  "naming": "figure"
}