| |
| from __future__ import annotations |
|
|
| import argparse |
| from pathlib import Path |
|
|
| from _common import read_json, write_csv |
|
|
|
|
| def parse_args() -> argparse.Namespace: |
| parser = argparse.ArgumentParser(description="Summarize native Blender-indoor pipeline outputs.") |
| parser.add_argument("--output-root", type=Path, default=Path("outputs/blender_indoor")) |
| parser.add_argument("--output", type=Path, default=Path("outputs/blender_indoor/results/coverage_main.csv")) |
| return parser.parse_args() |
|
|
|
|
| def find_selected_files(output_root: Path) -> list[Path]: |
| patterns = [ |
| "*/input/frame_selection/selected_frames.json", |
| "*/frame_selection/selected_frames.json", |
| ] |
| files: list[Path] = [] |
| for pattern in patterns: |
| files.extend(output_root.glob(pattern)) |
| return sorted(set(files)) |
|
|
|
|
| def summarize_one(path: Path, output_root: Path) -> dict: |
| doc = read_json(path) |
| frames = doc.get("frames", []) |
| pred_gains = [float(row.get("gain", 0.0)) for row in frames] |
| actual_gains = [float(row.get("actual_gain", 0.0)) for row in frames] |
| scores = [float(row.get("score", 0.0)) for row in frames] |
| deltas = [float(row.get("delta_ratio", 0.0)) for row in frames] |
| scene_dir = path.parents[2] if path.parent.name == "frame_selection" and path.parent.parent.name == "input" else path.parents[1] |
| scene_id = scene_dir.name |
| total_actual_gain = min(1.0, sum(actual_gains)) |
| return { |
| "scene_id": scene_id, |
| "scene_file": doc.get("scene", ""), |
| "scene_format": doc.get("scene_format", ""), |
| "selected_frames": int(doc.get("total_frames", len(frames))), |
| "candidates_count": int(doc.get("candidates_count", 0)), |
| "coverage_proxy_from_actual_gain": round(total_actual_gain, 6), |
| "mean_predicted_gain": round(sum(pred_gains) / len(pred_gains), 6) if pred_gains else 0.0, |
| "mean_actual_gain": round(sum(actual_gains) / len(actual_gains), 6) if actual_gains else 0.0, |
| "last_actual_gain": round(actual_gains[-1], 6) if actual_gains else 0.0, |
| "last_delta_ratio": round(deltas[-1], 6) if deltas else 0.0, |
| "last_score": round(scores[-1], 6) if scores else 0.0, |
| "selected_json": str(path.relative_to(output_root)), |
| } |
|
|
|
|
| def main() -> None: |
| args = parse_args() |
| selected_files = find_selected_files(args.output_root) |
| if not selected_files: |
| raise SystemExit(f"No selected_frames.json files found under {args.output_root}") |
| rows = [summarize_one(path, args.output_root) for path in selected_files] |
| write_csv(args.output, rows) |
| print(f"Wrote {len(rows)} scene summaries to {args.output}") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
|
|
