| |
| """Build the lightweight Hugging Face Dataset Viewer split. |
| |
| The full dataset payload lives in scene ZIP archives. This script creates a |
| small Parquet table that embeds RGB preview images and records the archive |
| member paths for the heavier modalities. |
| """ |
|
|
| from __future__ import annotations |
|
|
| import argparse |
| import json |
| import re |
| from pathlib import Path |
| from zipfile import ZipFile |
|
|
| from datasets import Dataset, Features, Image, Sequence, Value |
|
|
|
|
| CAMERA_RE = re.compile( |
| r"cam(?P<camera_index>\d+)_az(?P<azimuth>-?\d+(?:\.\d+)?)_el(?P<elevation>-?\d+(?:\.\d+)?)" |
| ) |
|
|
|
|
| FEATURES = Features( |
| { |
| "sample_id": Value("string"), |
| "scene_zip_id": Value("string"), |
| "scene_id": Value("string"), |
| "arrangement_id": Value("string"), |
| "camera_label": Value("string"), |
| "camera_index": Value("int32"), |
| "azimuth_deg": Value("float32"), |
| "elevation_deg": Value("float32"), |
| "image": Image(), |
| "archive": Value("string"), |
| "rgb_path": Value("string"), |
| "depth_z_path": Value("string"), |
| "depth_euclidean_path": Value("string"), |
| "normal_worldspace_path": Value("string"), |
| "normal_camspace_path": Value("string"), |
| "mask_combined_path": Value("string"), |
| "object_mask_paths": Sequence(Value("string")), |
| "metadata_path": Value("string"), |
| "scene_graph_path": Value("string"), |
| "blend_path": Value("string"), |
| "colmap_cameras_path": Value("string"), |
| "colmap_images_path": Value("string"), |
| "colmap_points3d_path": Value("string"), |
| "render_width": Value("int32"), |
| "render_height": Value("int32"), |
| "num_cameras": Value("int32"), |
| "num_objects": Value("int32"), |
| "num_edges": Value("int32"), |
| "camera_fx_px": Value("float32"), |
| "camera_fy_px": Value("float32"), |
| "camera_fov_h_deg": Value("float32"), |
| "camera_fov_v_deg": Value("float32"), |
| "camera_position_world_m": Sequence(Value("float32")), |
| "object_ids": Sequence(Value("int32")), |
| "object_names": Sequence(Value("string")), |
| "object_classes": Sequence(Value("string")), |
| "relation_triplets": Sequence(Value("string")), |
| } |
| ) |
|
|
|
|
| def load_json(zf: ZipFile, member: str) -> dict: |
| return json.loads(zf.read(member).decode("utf-8")) |
|
|
|
|
| def path_if_present(names: set[str], path: str) -> str | None: |
| return path if path in names else None |
|
|
|
|
| def camera_from_metadata(metadata: dict, camera_label: str) -> dict: |
| for camera in metadata.get("cameras", []): |
| if camera.get("label") == camera_label: |
| return camera |
| return {} |
|
|
|
|
| def relation_triplets(scene_graph: dict) -> list[str]: |
| triplets = [] |
| for edge in scene_graph.get("edges", []): |
| relations = edge.get("relations", {}) |
| relation_text = "/".join( |
| str(relations.get(key, "unknown")) for key in ("proximity", "vertical", "horizontal") |
| ) |
| triplets.append(f"{edge.get('source')}->{edge.get('target')}:{relation_text}") |
| return triplets |
|
|
|
|
| def arrangement_dirs(names: set[str]) -> list[str]: |
| return sorted({name.split("/", 1)[0] for name in names if name.startswith("arr_") and "/" in name}) |
|
|
|
|
| def build_rows(repo_root: Path) -> list[dict]: |
| rows: list[dict] = [] |
| zip_paths = sorted(repo_root.glob("scene_*.zip")) |
| if not zip_paths: |
| raise FileNotFoundError("No scene_*.zip archives found") |
|
|
| for zip_path in zip_paths: |
| scene_zip_id = zip_path.stem |
| with ZipFile(zip_path) as zf: |
| names = set(zf.namelist()) |
| for arrangement_id in arrangement_dirs(names): |
| metadata_path = f"{arrangement_id}/metadata.json" |
| scene_graph_path = f"{arrangement_id}/scene_graph.json" |
| if metadata_path not in names or scene_graph_path not in names: |
| continue |
|
|
| metadata = load_json(zf, metadata_path) |
| scene_graph = load_json(zf, scene_graph_path) |
| render = metadata.get("render", {}) |
| nodes = scene_graph.get("nodes", []) |
| relation_rows = relation_triplets(scene_graph) |
|
|
| object_ids = [int(node["id"]) for node in nodes if "id" in node] |
| object_names = [str(node.get("object_name", "")) for node in nodes] |
| object_classes = [str(node.get("class", "")) for node in nodes] |
|
|
| rgb_paths = sorted( |
| name |
| for name in names |
| if name.startswith(f"{arrangement_id}/rgb/") and name.endswith(".png") |
| ) |
|
|
| for rgb_path in rgb_paths: |
| camera_label = Path(rgb_path).stem |
| camera_match = CAMERA_RE.fullmatch(camera_label) |
| if camera_match is None: |
| continue |
|
|
| camera = camera_from_metadata(metadata, camera_label) |
| intrinsics = camera.get("intrinsics", {}) |
| extrinsics = camera.get("extrinsics", {}) |
| stem = camera_label |
| object_mask_prefix = f"{arrangement_id}/masks/{stem}_obj" |
|
|
| rows.append( |
| { |
| "sample_id": f"{scene_zip_id}_{arrangement_id}_{camera_label}", |
| "scene_zip_id": scene_zip_id, |
| "scene_id": str(scene_graph.get("scene_id", f"{scene_zip_id}_{arrangement_id}")), |
| "arrangement_id": arrangement_id, |
| "camera_label": camera_label, |
| "camera_index": int(camera_match.group("camera_index")), |
| "azimuth_deg": float(camera_match.group("azimuth")), |
| "elevation_deg": float(camera_match.group("elevation")), |
| "image": { |
| "bytes": zf.read(rgb_path), |
| "path": f"{zip_path.name}::{rgb_path}", |
| }, |
| "archive": zip_path.name, |
| "rgb_path": rgb_path, |
| "depth_z_path": path_if_present( |
| names, f"{arrangement_id}/depth/{stem}_zdepth.exr" |
| ), |
| "depth_euclidean_path": path_if_present( |
| names, f"{arrangement_id}/depth/{stem}_euclidean.exr" |
| ), |
| "normal_worldspace_path": path_if_present( |
| names, f"{arrangement_id}/normals/{stem}_worldspace.exr" |
| ), |
| "normal_camspace_path": path_if_present( |
| names, f"{arrangement_id}/normals/{stem}_camspace.exr" |
| ), |
| "mask_combined_path": path_if_present( |
| names, f"{arrangement_id}/masks/{stem}_combined.exr" |
| ), |
| "object_mask_paths": sorted( |
| name |
| for name in names |
| if name.startswith(object_mask_prefix) and name.endswith(".exr") |
| ), |
| "metadata_path": metadata_path, |
| "scene_graph_path": scene_graph_path, |
| "blend_path": path_if_present(names, f"{arrangement_id}/scene.blend"), |
| "colmap_cameras_path": path_if_present( |
| names, f"{arrangement_id}/colmap/cameras.txt" |
| ), |
| "colmap_images_path": path_if_present( |
| names, f"{arrangement_id}/colmap/images.txt" |
| ), |
| "colmap_points3d_path": path_if_present( |
| names, f"{arrangement_id}/colmap/points3D.txt" |
| ), |
| "render_width": int(render.get("resolution_x", 0)), |
| "render_height": int(render.get("resolution_y", 0)), |
| "num_cameras": int(render.get("num_cameras", 0)), |
| "num_objects": int(scene_graph.get("num_objects", len(nodes))), |
| "num_edges": len(scene_graph.get("edges", [])), |
| "camera_fx_px": intrinsics.get("fx_px"), |
| "camera_fy_px": intrinsics.get("fy_px"), |
| "camera_fov_h_deg": intrinsics.get("fov_h_deg"), |
| "camera_fov_v_deg": intrinsics.get("fov_v_deg"), |
| "camera_position_world_m": extrinsics.get("position_world_m", []), |
| "object_ids": object_ids, |
| "object_names": object_names, |
| "object_classes": object_classes, |
| "relation_triplets": relation_rows, |
| } |
| ) |
|
|
| return rows |
|
|
|
|
| def main() -> None: |
| parser = argparse.ArgumentParser(description=__doc__) |
| parser.add_argument("--repo-root", type=Path, default=Path("."), help="Dataset repository root") |
| parser.add_argument( |
| "--output", |
| type=Path, |
| default=Path("data/viewer/train.parquet"), |
| help="Output Parquet file, relative to --repo-root unless absolute", |
| ) |
| args = parser.parse_args() |
|
|
| repo_root = args.repo_root.resolve() |
| output_path = args.output if args.output.is_absolute() else repo_root / args.output |
| output_path.parent.mkdir(parents=True, exist_ok=True) |
|
|
| rows = build_rows(repo_root) |
| dataset = Dataset.from_list(rows, features=FEATURES) |
| bytes_written = dataset.to_parquet( |
| output_path, |
| batch_size=100, |
| compression="zstd", |
| write_page_index=True, |
| ) |
| print(f"Wrote {len(dataset)} rows to {output_path} ({bytes_written} bytes)") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|