File size: 3,993 Bytes
231562a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 | #!/usr/bin/env python3
"""批量渲染场景到各自目录"""
import os
import sys
import json
import subprocess
from pathlib import Path
from concurrent.futures import ProcessPoolExecutor, as_completed
def find_scene_json(scene_dir: Path) -> Path | None:
"""找到目录中的场景JSON"""
for f in scene_dir.iterdir():
if f.suffix == '.json' and not f.name.startswith('metadata') and not f.name.startswith('evaluation'):
try:
with open(f) as fp:
data = json.load(fp)
if isinstance(data, dict) and 'objects' in data:
return f
except:
pass
return None
def render_one(args):
"""渲染单个场景的两个视角"""
scene_json, scene_dir, asset_dir, ai2thor_asset_dir = args
results = []
script_path = Path(__file__).parent / "visualize_blender.py"
for view, out_name in [('diagonal', 'render_diagonal.png'), ('top', 'render_topdown.png')]:
output_png = scene_dir / out_name
if output_png.exists():
results.append((str(scene_dir.name), view, True, "exists"))
continue
# 使用conda run在blender环境中运行
cmd = [
"conda", "run", "-n", "blender", "python", str(script_path),
"--scene_path", str(scene_json),
"--output", str(output_png),
"--render",
"--view", view,
"--asset_dir", asset_dir,
"--ai2thor_asset_dir", ai2thor_asset_dir,
]
try:
result = subprocess.run(cmd, capture_output=True, text=True, timeout=600)
if output_png.exists():
results.append((str(scene_dir.name), view, True, None))
else:
err = result.stderr[-300:] if result.stderr else (result.stdout[-300:] if result.stdout else "unknown")
results.append((str(scene_dir.name), view, False, err))
except subprocess.TimeoutExpired:
results.append((str(scene_dir.name), view, False, "timeout"))
except Exception as e:
results.append((str(scene_dir.name), view, False, str(e)))
return results
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--eval_dir", required=True)
parser.add_argument("--asset_dir", default=os.path.expanduser("~/.objathor-assets/2023_09_23/assets"))
parser.add_argument("--ai2thor_asset_dir", default=os.path.expanduser("~/.ai2thor/processed_models"))
parser.add_argument("--workers", type=int, default=4)
args = parser.parse_args()
eval_dir = Path(args.eval_dir).expanduser().resolve()
# 收集所有场景目录
tasks = []
for d in eval_dir.iterdir():
if d.is_dir() and not d.name.startswith('.'):
scene_json = find_scene_json(d)
if scene_json:
tasks.append((scene_json, d, args.asset_dir, args.ai2thor_asset_dir))
print(f"Found {len(tasks)} scenes to render")
rendered = skipped = failed = 0
with ProcessPoolExecutor(max_workers=args.workers) as ex:
futures = {ex.submit(render_one, t): t for t in tasks}
for i, fut in enumerate(as_completed(futures), 1):
for name, view, ok, msg in fut.result():
if ok:
if msg == "exists":
skipped += 1
else:
rendered += 1
print(f"✓ {name} [{view}]")
else:
failed += 1
print(f"✗ {name} [{view}]: {msg[:80] if msg else ''}")
if i % 10 == 0 or i == len(tasks):
print(f"[{i}/{len(tasks)}] rendered={rendered} skipped={skipped} failed={failed}")
print(f"\nDONE: rendered={rendered} skipped={skipped} failed={failed}")
if __name__ == "__main__":
main()
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