Download code/scripts/render_selected.py from ManfredC/cmevs-erp-eval: direct link, hf CLI and curl.
- Browser
- Download file 2.75 kB
-
https://huggingface.co/datasets/ManfredC/cmevs-erp-eval/resolve/main/code/scripts/render_selected.py
- Command line
-
hf download hf://datasets/ManfredC/cmevs-erp-eval/code/scripts/render_selected.py
-
curl -L -o render_selected.py https://huggingface.co/datasets/ManfredC/cmevs-erp-eval/resolve/main/code/scripts/render_selected.py
2.75 kB
| #!/usr/bin/env python3 | |
| from __future__ import annotations | |
| import argparse | |
| import hashlib | |
| from pathlib import Path | |
| from _common import ensure_dir, read_json, write_json, write_jsonl, write_npy_f4, write_solid_png | |
| def parse_args() -> argparse.Namespace: | |
| parser = argparse.ArgumentParser(description="Materialize selected-view render artifacts.") | |
| parser.add_argument("--selected", type=Path, required=True, help="selected_viewpoints.json.") | |
| parser.add_argument("--output-dir", type=Path, default=Path("outputs/tiny"), help="Run output directory.") | |
| parser.add_argument("--tiny", action="store_true", help="Write deterministic placeholder render artifacts.") | |
| parser.add_argument("--width", type=int, default=64) | |
| parser.add_argument("--height", type=int, default=32) | |
| return parser.parse_args() | |
| def color_from_id(candidate_id: str) -> tuple[int, int, int]: | |
| digest = hashlib.sha256(candidate_id.encode("utf-8")).digest() | |
| return tuple(48 + int(digest[i]) % 176 for i in range(3)) | |
| def rel(path: Path, base: Path) -> str: | |
| try: | |
| return str(path.relative_to(base)) | |
| except ValueError: | |
| return str(path) | |
| def main() -> None: | |
| args = parse_args() | |
| if not args.tiny: | |
| raise SystemExit("Real rendering is handled by pipelines/run_full_pipeline.py. Use --tiny for smoke-test artifacts.") | |
| selected_doc = read_json(args.selected) | |
| render_dir = ensure_dir(args.output_dir / "renders") | |
| rows = [] | |
| for item in selected_doc.get("selected_viewpoints", []): | |
| cid = str(item["candidate_id"]) | |
| stem = f"{int(item['rank']):03d}_{cid}" | |
| rgb_path = render_dir / f"{stem}_rgb.png" | |
| depth_path = render_dir / f"{stem}_depth.npy" | |
| pose_path = render_dir / f"{stem}_pose.json" | |
| write_solid_png(rgb_path, args.width, args.height, color_from_id(cid)) | |
| write_npy_f4(depth_path, args.height, args.width, 1.0 + 0.05 * int(item["rank"])) | |
| write_json( | |
| pose_path, | |
| { | |
| "candidate_id": cid, | |
| "position": item.get("position", [0.0, 0.0, 0.0]), | |
| "yaw_deg": item.get("yaw_deg", 0.0), | |
| "coordinate_frame": "right-handed, x-right, y-up, z-forward", | |
| }, | |
| ) | |
| rows.append( | |
| { | |
| "candidate_id": cid, | |
| "rgb": rel(rgb_path, args.output_dir), | |
| "depth": rel(depth_path, args.output_dir), | |
| "pose": rel(pose_path, args.output_dir), | |
| "valid": True, | |
| "invalid_reason": "", | |
| } | |
| ) | |
| write_jsonl(render_dir / "validity.jsonl", rows) | |
| print(f"Wrote {len(rows)} tiny render records to {render_dir}") | |
| if __name__ == "__main__": | |
| main() | |