backupforme / VLABench /test_task_visual.py
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#!/usr/bin/env python3
"""简洁的任务冒烟测试脚本:批量渲染 seed_tasks 并保存关键帧。"""
from __future__ import annotations
import argparse
import importlib
import os
import pkgutil
import sys
import traceback
from pathlib import Path
from typing import Iterable, List
from PIL import Image
REPO_ROOT = Path(__file__).resolve().parent
VLABENCH_ROOT = REPO_ROOT / "VLABench"
TASK_MODULE_PREFIX = "VLABench.tasks"
REQUIRED_FRAMES = 3
if str(REPO_ROOT) not in sys.path:
sys.path.append(str(REPO_ROOT))
os.environ.setdefault("VLABENCH_ROOT", str(VLABENCH_ROOT))
os.environ.setdefault("MUJOCO_GL", "egl")
from VLABench.envs import load_env # noqa: E402 pylint: disable=wrong-import-position
from VLABench.robots import * # noqa: F403,F401,E402 pylint: disable=wildcard-import,unused-wildcard-import
from VLABench.utils.register import register # noqa: E402 pylint: disable=wrong-import-position
def import_all_task_modules() -> None:
"""导入 VLABench.tasks 包下的所有模块,确保任务已注册。"""
try:
package = importlib.import_module(TASK_MODULE_PREFIX)
except ModuleNotFoundError as exc: # pragma: no cover - 直接失败更清晰
raise RuntimeError(f"无法导入任务包 {TASK_MODULE_PREFIX}: {exc}") from exc
for module_info in pkgutil.walk_packages(package.__path__, prefix=f"{TASK_MODULE_PREFIX}."):
if module_info.name in sys.modules:
continue
try:
importlib.import_module(module_info.name)
except Exception as exc: # pylint: disable=broad-except
print(f"导入任务模块失败:{module_info.name} -> {exc}")
def collect_task_names() -> List[str]:
import_all_task_modules()
return sorted(getattr(register, "_tasks").keys())
def save_frames(task_name: str, frames: List, root_dir: Path) -> None:
task_dir = root_dir / task_name
task_dir.mkdir(parents=True, exist_ok=True)
for idx, frame in enumerate(frames, start=1):
Image.fromarray(frame).save(task_dir / f"frame{idx}.png")
def run_smoke_test(task_name: str,
camera: int,
height: int,
width: int,
save_dir: Path | None,
skip_skills: bool,
task_variant: str | None) -> bool:
env = None
frames: List = []
saved_path: Path | None = None
try:
env = load_env(task_name, task_variant=task_variant)
env.reset()
frames.append(env.render(camera_id=camera, height=height, width=width))
skill_error = None
if not skip_skills:
skill_sequence = env.get_expert_skill_sequence()
if skill_sequence:
for skill in skill_sequence:
try:
skill(env)
except Exception as exc: # pylint: disable=broad-except
skill_error = exc
break
if len(frames) < REQUIRED_FRAMES:
try:
frames.append(env.render(camera_id=camera, height=height, width=width))
except Exception as exc: # pylint: disable=broad-except
skill_error = exc
break
else:
print(f"{task_name}: 未提供专家技能序列,仅使用初始帧。")
else:
print(f"{task_name}: 跳过技能执行,仅渲染初始帧。")
if len(frames) < REQUIRED_FRAMES:
try:
frames.extend([
env.render(camera_id=camera, height=height, width=width)
for _ in range(REQUIRED_FRAMES - len(frames))
])
except Exception as exc: # pylint: disable=broad-except
print(f"{task_name}: 渲染补帧失败 -> {exc}")
return False
if save_dir is not None:
save_dir.mkdir(parents=True, exist_ok=True)
save_frames(task_name, frames[:REQUIRED_FRAMES], save_dir)
saved_path = save_dir / task_name
if skill_error:
print(f"{task_name}: 技能执行中断 -> {skill_error}")
return False
message = f"{task_name}: 完成冒烟测试,已渲染 {REQUIRED_FRAMES} 帧。"
if saved_path is not None:
message += f" 已保存至 {saved_path}。"
else:
message += " 未指定 --save-dir,未写入磁盘。"
print(message)
return True
except Exception as exc: # pylint: disable=broad-except
print(f"{task_name}: 冒烟测试失败 -> {exc}")
traceback.print_exc()
return False
finally:
if env is not None:
env.close()
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description="渲染 seed_tasks 中的任务并保存关键帧")
parser.add_argument("--task", help="仅渲染指定任务", default=None)
parser.add_argument(
"--tasks",
nargs="+",
help="一次渲染多个任务,空格分隔,例如 --tasks task_a task_b",
default=None,
)
parser.add_argument("--list", action="store_true", help="仅列出任务名")
parser.add_argument("--camera", type=int, default=2, help="相机编号")
parser.add_argument("--height", type=int, default=640, help="渲染高度")
parser.add_argument("--width", type=int, default=640, help="渲染宽度")
parser.add_argument("--save-dir", type=Path, default=None,
help="保存渲染结果的目录")
parser.add_argument("--skip-skills", action="store_true",
help="仅渲染初始状态,不调用专家技能")
parser.add_argument(
"--task-variant",
choices=["A", "B", "C", "D"],
default=None,
help="可选:指定任务的 A/B/C/D 布局模式。",
)
return parser.parse_args()
def main() -> None:
args = parse_args()
task_names = collect_task_names()
if not task_names:
print("未找到可用任务,请确认模块路径无误。")
return
if args.list:
for name in task_names:
print(name)
return
tasks: Iterable[str] = task_names
selected: List[str] | None = None
if args.tasks:
missing = [name for name in args.tasks if name not in task_names]
if missing:
print("以下任务未找到:")
for name in missing:
print(f" - {name}")
return
selected = args.tasks
elif args.task:
if args.task not in task_names:
print(f"未找到指定任务: {args.task}")
return
selected = [args.task]
if selected is not None:
# 去重同时保持顺序
seen = set()
filtered = []
for name in selected:
if name in seen:
continue
seen.add(name)
filtered.append(name)
tasks = filtered
total = 0
success = 0
failed: List[str] = []
save_root = Path(args.save_dir) if args.save_dir else None
for name in tasks:
total += 1
if run_smoke_test(name,
args.camera,
args.height,
args.width,
save_root,
args.skip_skills,
args.task_variant):
success += 1
else:
failed.append(name)
print(f"完成冒烟测试 {success}/{total} 个任务。")
if failed:
print("失败的任务:")
for name in failed:
print(f" - {name}")
if __name__ == "__main__":
main()