PhysicalWM / OVOW /benchmark /scripts /extract_scene_camera_depth.py
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from __future__ import annotations
import argparse
import json
import sys
from pathlib import Path
import bpy
import numpy as np
def parse_args() -> argparse.Namespace:
argv_source = getattr(bpy.app, "argv", None)
if argv_source is None:
argv_source = sys.argv
argv: list[str] = []
if "--" in argv_source:
argv = argv_source[argv_source.index("--") + 1 :]
parser = argparse.ArgumentParser(description="Extract camera pose and approximate depth from a scene")
parser.add_argument("--input", required=True, help="Input .blend/.glb/.gltf scene")
parser.add_argument("--output_dir", required=True, help="Output directory for camera.json and depth.npy")
parser.add_argument("--frame", type=int, default=None, help="Frame to evaluate; default scene.frame_start")
parser.add_argument("--max_depth_samples", type=int, default=300000)
parser.add_argument("--seed", type=int, default=42)
return parser.parse_args(argv)
def load_input_scene(input_path: str) -> Path:
path = Path(input_path).resolve()
if not path.exists():
raise FileNotFoundError(f"Input scene does not exist: {path}")
ext = path.suffix.lower()
if ext == ".blend":
bpy.ops.wm.open_mainfile(filepath=str(path))
elif ext in {".glb", ".gltf"}:
bpy.ops.object.select_all(action="SELECT")
bpy.ops.object.delete()
bpy.ops.import_scene.gltf(filepath=str(path))
else:
raise ValueError(f"Unsupported input scene extension: {path.suffix}")
return path
def pick_camera(scene: bpy.types.Scene) -> bpy.types.Object:
if scene.camera is not None:
return scene.camera
cameras = [obj for obj in scene.objects if obj.type == "CAMERA"]
if not cameras:
raise FileNotFoundError("Scene has no camera; cannot auto-extract camera/depth metadata.")
return cameras[0]
def world_vertices(obj_eval: bpy.types.Object, mesh: bpy.types.Mesh) -> np.ndarray:
local = np.empty(len(mesh.vertices) * 3, dtype=np.float32)
mesh.vertices.foreach_get("co", local)
local = local.reshape(-1, 3)
mat = np.array(obj_eval.matrix_world, dtype=np.float32)
rot = mat[:3, :3]
trans = mat[:3, 3]
return (local @ rot.T + trans).astype(np.float32, copy=False)
def collect_depths(scene: bpy.types.Scene, camera: bpy.types.Object, max_samples: int, seed: int) -> np.ndarray:
depsgraph = bpy.context.evaluated_depsgraph_get()
w2c = np.array(camera.matrix_world.inverted(), dtype=np.float64)
depths: list[np.ndarray] = []
for obj in scene.objects:
if obj.type != "MESH" or obj.hide_render:
continue
obj_eval = obj.evaluated_get(depsgraph)
mesh = obj_eval.to_mesh(preserve_all_data_layers=False, depsgraph=depsgraph)
if mesh is None:
continue
try:
if len(mesh.vertices) == 0:
continue
verts = world_vertices(obj_eval, mesh).astype(np.float64)
cam = verts @ w2c[:3, :3].T + w2c[:3, 3]
depth = -cam[:, 2]
depth = depth[np.isfinite(depth) & (depth > 1e-8)]
if depth.size:
depths.append(depth.astype(np.float32, copy=False))
finally:
obj_eval.to_mesh_clear()
if not depths:
return np.zeros((0,), dtype=np.float32)
values = np.concatenate(depths, axis=0)
if max_samples > 0 and values.size > max_samples:
rng = np.random.default_rng(seed)
idx = rng.choice(values.size, size=max_samples, replace=False)
values = values[idx]
return values.astype(np.float32, copy=False)
def main() -> None:
args = parse_args()
scene_path = load_input_scene(args.input)
scene = bpy.context.scene
frame = int(args.frame) if args.frame is not None else int(scene.frame_start)
scene.frame_set(frame)
camera = pick_camera(scene)
camera_to_world = np.array(camera.matrix_world, dtype=np.float64)
world_to_camera = np.array(camera.matrix_world.inverted(), dtype=np.float64)
depths = collect_depths(scene, camera, args.max_depth_samples, args.seed)
output_dir = Path(args.output_dir).resolve()
output_dir.mkdir(parents=True, exist_ok=True)
depth_path = output_dir / "depth.npy"
camera_path = output_dir / "camera.json"
np.save(depth_path, depths)
payload = {
"scene": str(scene_path),
"frame": frame,
"camera_name": camera.name,
"world_to_camera": world_to_camera.tolist(),
"camera_to_world": camera_to_world.tolist(),
"depth_path": str(depth_path),
"depth_count": int(depths.size),
"depth_median": float(np.median(depths)) if depths.size else None,
"depth_definition": "positive mesh vertex depth in Blender camera coordinates, depth=-z_camera",
}
camera_path.write_text(json.dumps(payload, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
print(json.dumps({"camera": str(camera_path), "depth": str(depth_path), "depth_count": int(depths.size)}))
if __name__ == "__main__":
main()