PhysicalWM / OVOW /benchmark /scripts /run_blend_glb_eval_pipeline.py
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#!/usr/bin/env python3
from __future__ import annotations
import argparse
import json
import subprocess
import sys
from pathlib import Path
from typing import Any
def parse_args() -> argparse.Namespace:
p = argparse.ArgumentParser(description="Run alignment, GT-camera rendering, and rendered visual metrics.")
p.add_argument("--sample_id", required=True)
p.add_argument("--data_root", default="data")
p.add_argument("--gt_key", default="gt")
p.add_argument("--models", required=True, help="Comma-separated model keys under data_root.")
p.add_argument("--blender_bin", required=True)
p.add_argument("--clip_model_path", required=True)
p.add_argument("--out_dir", required=True)
p.add_argument(
"--alignment",
choices=["identity", "bbox", "object_bbox", "depth_bbox", "depth_camera"],
default="bbox",
)
p.add_argument(
"--ground_policy",
choices=["exclude", "include"],
default="exclude",
help="Whether bbox alignment and geometry IoU exclude detected ground planes.",
)
p.add_argument(
"--geometry_frame_mode",
default="first_only",
help="Geometry frames used for IoU-B extraction: first_only, first_mid_last, last_only, or exact:<frame>.",
)
p.add_argument("--camera_convention", choices=["auto", "world_to_camera", "camera_to_world"], default="auto")
p.add_argument("--camera_rotation_only", action="store_true")
p.add_argument("--image_glob", default="frames/*,selected_frames/*,eval_frames/*,scene.png")
p.add_argument("--scene_filename", default=None)
p.add_argument("--clip_batch_size", type=int, default=32)
p.add_argument("--resolution_x", type=int, default=768)
p.add_argument("--resolution_y", type=int, default=432)
p.add_argument("--samples", type=int, default=32)
p.add_argument("--render_engine", choices=["BLENDER_EEVEE", "BLENDER_EEVEE_NEXT", "CYCLES"], default="BLENDER_EEVEE")
p.add_argument("--transparent", action=argparse.BooleanOptionalAction, default=False)
p.add_argument("--skip_rendered_visual_metrics", action="store_true")
p.add_argument("--keep_selected_image_metrics", action="store_true")
p.add_argument(
"--strict_selected_images",
action="store_true",
help="Fail if selected images are missing when --keep_selected_image_metrics is used.",
)
return p.parse_args()
def project_root() -> Path:
return Path(__file__).resolve().parents[1]
def run(cmd: list[str]) -> None:
print("\n>>> " + " ".join(cmd), flush=True)
proc = subprocess.run(cmd, text=True)
if proc.returncode != 0:
raise SystemExit(proc.returncode)
def load_json(path: Path) -> dict[str, Any]:
return json.loads(path.read_text(encoding="utf-8"))
def write_json(path: Path, payload: dict[str, Any]) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(payload, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
def merge_final_report(
*,
geometry_report: Path,
render_manifest: Path | None,
rendered_visual_report: Path | None,
final_report: Path,
) -> None:
geometry = load_json(geometry_report)
rendered_visual = load_json(rendered_visual_report) if rendered_visual_report and rendered_visual_report.exists() else None
visual_by_model: dict[str, Any] = {}
if rendered_visual:
visual_by_model = {row["model"]: row for row in rendered_visual.get("summary", [])}
summary: list[dict[str, Any]] = []
for row in geometry.get("summary", []):
key = row["model"]
visual = visual_by_model.get(key, {})
pl_raw = visual.get("pl_raw")
n_clip_raw = visual.get("n_clip_raw")
summary.append(
{
"model": key,
"scene_aabb_iou_mean": row.get("scene_aabb_iou_mean", 0.0),
"scene_obb_iou_mean": row.get("scene_obb_iou_mean", 0.0),
"object_aabb_iou_penalized_mean": row.get("object_aabb_iou_penalized_mean", 0.0),
"object_obb_iou_penalized_mean": row.get("object_obb_iou_penalized_mean", 0.0),
"pl": 100.0 * pl_raw if pl_raw is not None else None,
"n_clip": 10.0 * n_clip_raw if n_clip_raw is not None else None,
"rendered_pl_raw": pl_raw,
"rendered_pl_score_100": visual.get("pl_score_100"),
"rendered_n_clip_raw": n_clip_raw,
"rendered_n_clip_score_100": visual.get("n_clip_score_100"),
"rendered_clip_similarity_mean": visual.get("clip_similarity_mean"),
"rendered_frame_count": visual.get("frame_count"),
"alignment_mode": row.get("alignment_mode"),
"alignment_scale": row.get("alignment_scale"),
}
)
payload = {
"sample_id": geometry.get("sample_id"),
"definition": {
"geometry": "IoU-B on aligned .blend/.glb/.gltf geometry.",
"object_iou": "Hungarian object matching on AABB IoU; unmatched/missing objects are penalized by max(gt_count,pred_count).",
"rendered_visual": "GT-camera renders after alignment, then PL and VIGA-style image-image N-CLIP.",
"pl": "100 * mean normalized RGB MSE; lower is better.",
"n_clip": "10 * mean(1 - CLIPSim); lower is better.",
},
"paths": {
"geometry_report": str(geometry_report),
"render_manifest": str(render_manifest) if render_manifest else None,
"rendered_visual_report": str(rendered_visual_report) if rendered_visual_report else None,
},
"geometry_report": geometry,
"rendered_visual_report": rendered_visual,
"summary": summary,
"rankings": {
"scene_aabb_desc": sorted(summary, key=lambda x: x["scene_aabb_iou_mean"], reverse=True),
"scene_obb_desc": sorted(summary, key=lambda x: x["scene_obb_iou_mean"], reverse=True),
"object_aabb_pen_desc": sorted(summary, key=lambda x: x["object_aabb_iou_penalized_mean"], reverse=True),
"pl_asc": sorted(summary, key=lambda x: x.get("pl") if x.get("pl") is not None else float("inf")),
"n_clip_asc": sorted(summary, key=lambda x: x.get("n_clip") if x.get("n_clip") is not None else float("inf")),
"rendered_pl_score_desc": sorted(summary, key=lambda x: x.get("rendered_pl_score_100") or 0.0, reverse=True),
"rendered_nclip_score_desc": sorted(summary, key=lambda x: x.get("rendered_n_clip_score_100") or 0.0, reverse=True),
},
}
write_json(final_report, payload)
print(json.dumps(summary, indent=2, ensure_ascii=False))
print(f"SAVED {final_report}")
def main() -> None:
args = parse_args()
root = project_root()
out_dir = Path(args.out_dir).resolve()
reports_dir = out_dir / "reports"
renders_dir = out_dir / "renders"
alignments_dir = out_dir / "alignments"
reports_dir.mkdir(parents=True, exist_ok=True)
geometry_report = reports_dir / "geometry_alignment_report.json"
render_manifest = renders_dir / "render_manifest.json"
rendered_visual_report = reports_dir / "rendered_visual_metrics.json"
final_report = reports_dir / "final_report.json"
geometry_cmd = [
sys.executable,
str(root / "scripts" / "run_big_eval.py"),
"--sample_id",
args.sample_id,
"--data_root",
args.data_root,
"--gt_key",
args.gt_key,
"--models",
args.models,
"--blender_bin",
args.blender_bin,
"--clip_model_path",
args.clip_model_path,
"--clip_batch_size",
str(args.clip_batch_size),
"--out_json",
str(geometry_report),
"--alignment_dir",
str(alignments_dir),
"--scene_meta_dir",
str(out_dir / "scene_meta"),
"--alignment",
args.alignment,
"--ground_policy",
args.ground_policy,
"--geometry_frame_mode",
args.geometry_frame_mode,
"--camera_convention",
args.camera_convention,
"--image_glob",
args.image_glob,
]
if not args.strict_selected_images:
geometry_cmd.append("--allow_missing_images")
if args.camera_rotation_only:
geometry_cmd.append("--camera_rotation_only")
if args.scene_filename:
geometry_cmd.extend(["--scene_filename", args.scene_filename])
if not args.keep_selected_image_metrics:
geometry_cmd.append("--skip_selected_image_metrics")
run(geometry_cmd)
render_cmd = [
args.blender_bin,
"--factory-startup",
"--background",
"--python",
str(root / "scripts" / "render_aligned_eval_images.py"),
"--",
"--report_json",
str(geometry_report),
"--out_dir",
str(renders_dir),
"--models",
args.models,
"--resolution_x",
str(args.resolution_x),
"--resolution_y",
str(args.resolution_y),
"--samples",
str(args.samples),
"--engine",
args.render_engine,
]
if args.transparent:
render_cmd.append("--transparent")
run(render_cmd)
if not args.skip_rendered_visual_metrics:
visual_cmd = [
sys.executable,
str(root / "scripts" / "eval_rendered_visual_metrics.py"),
"--manifest",
str(render_manifest),
"--clip_model_path",
args.clip_model_path,
"--out_json",
str(rendered_visual_report),
"--models",
args.models,
"--batch_size",
str(args.clip_batch_size),
]
run(visual_cmd)
else:
rendered_visual_report = None
merge_final_report(
geometry_report=geometry_report,
render_manifest=render_manifest,
rendered_visual_report=rendered_visual_report,
final_report=final_report,
)
if __name__ == "__main__":
main()