SAM3Dvid / index.json
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{
"format_version": 1,
"split": "train",
"clips_per_shard": 100,
"num_clips": 100,
"num_frames": 32,
"image_size": [
512,
512
],
"rgb_encoding": "JPEG quality 100, 4:4:4",
"voxels_file": "voxels_train.npz",
"num_assets": 228,
"conventions": {
"camera": "opencv (x right, y down, z forward)",
"world": "right-handed, Z up",
"T_cw": "world -> camera, 4x4, row-major",
"pose": "x_c = R_co @ (s_co * x_o) + t_co, with R_co = R_cw @ R_wo and t_co = R_cw @ t_wo + t_cw",
"arrays": "row-major, matrices as nested lists",
"pixel_centers": "integer coordinates",
"units": "arbitrary scene units, no metric scale",
"voxels": "bool 64^3 surface occupancy, np.packbits (C order, big-endian bits) of the flattened grid",
"visible": "uint8, 0 = background, k = object k (1-based, matches objects[k-1])"
},
"shards": [
{
"name": "train-000000.tar",
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}