| |
| """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 |
| from VLABench.robots import * |
| from VLABench.utils.register import register |
|
|
|
|
| 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: |
| 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: |
| 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: |
| 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: |
| 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: |
| 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: |
| 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: |
| |
| 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() |
|
|