tools/post_process/align_unified_layout.py

#!/usr/bin/env python3
"""
Align Unified Layout Coordinate System to Z-up

统一所有数据集到 Z-up 坐标系，弧度制旋转。

坐标系标准 (Z-up):
    - X: 水平轴 (左右)
    - Y: 水平轴 (前后)  
    - Z: 垂直轴 (高度，向上为正)
    - 旋转: 弧度制

数据现状分析:
================================================================================
| 数据源                          | boundary    | assets pos  | assets rot    |
|--------------------------------|-------------|-------------|---------------|
| Layout_info/scannet bbox       | N/A         | Z-up        | 弧度          |
| layout_with_boundary.instances | N/A         | Z-up        | 弧度          |
| layout_with_boundary.boundary  | Y-up        | N/A         | N/A           |
| unified-layout/scannet         | Y-up        | Z-up        | 角度          |
| unified-layout/3rscan          | Y-up        | Z-up        | 角度          |
| unified-layout/arkitscenes     | Y-up        | Z-up        | 角度          |
| unified-layout/3d-front        | Y-up        | Y-up        | 弧度          |
================================================================================

需要执行的转换:
1. scannet/3rscan/arkitscenes:
   - boundary: Y-up -> Z-up
   - assets pos: 已经是 Z-up，不变
   - assets rot: 角度 -> 弧度
   
2. 3d-front:
   - boundary: Y-up -> Z-up
   - assets pos: Y-up -> Z-up
   - assets rot: 已经是弧度，但绕轴需要调整

Y-up 到 Z-up 转换:
    [x, y, z]_yup -> [x, z, -y]_zup
    
    即: X不变, Y变成-Z, Z变成Y

使用方法:
    python tools/post_process/align_unified_layout.py --input-dir /path/to/unified-layout --dataset all
    python tools/post_process/align_unified_layout.py --input-dir /path/to/unified-layout --dataset 3d-front --in-place
"""

import argparse
import json
import math
import os
import sys
from pathlib import Path
from typing import Dict, List, Optional, Tuple
from concurrent.futures import ProcessPoolExecutor, as_completed
import traceback
import copy

# 添加项目路径
SCRIPT_DIR = Path(__file__).parent
TOOLS_DIR = SCRIPT_DIR.parent
REPO_ROOT = TOOLS_DIR.parent
sys.path.insert(0, str(REPO_ROOT))


def deg_to_rad(deg: float) -> float:
    """角度转弧度"""
    return deg * math.pi / 180.0


def y_up_to_z_up_pos(pos: List[float]) -> List[float]:
    """
    将位置坐标从 Y-up 转换为 Z-up
    
    Y-up: [x, y, z] 其中 y 是高度
    Z-up: [x, y, z] 其中 z 是高度
    
    转换: [x, y, z]_yup -> [x, -z, y]_zup
    
    这样可以保持:
    - 原来的X仍是X
    - 原来向上的Y变成向上的Z
    - 原来的Z变成-Y (保持右手系)
    """
    if len(pos) != 3:
        return pos
    x, y, z = pos
    # Y-up to Z-up: X不变, Y(高度)变Z, Z变-Y
    return [round(x, 4), round(-z, 4), round(y, 4)]


def y_up_to_z_up_size(size: List[float]) -> List[float]:
    """
    将尺寸从 Y-up 转换为 Z-up
    
    Y-up size: [sx, sy, sz] 其中 sy 是高度
    Z-up size: [sx, sy, sz] 其中 sz 是高度
    
    转换: [sx, sy, sz]_yup -> [sx, sz, sy]_zup
    """
    if len(size) != 3:
        return size
    sx, sy, sz = size
    return [round(sx, 4), round(sz, 4), round(sy, 4)]


def y_up_to_z_up_rot(rot: List[float]) -> List[float]:
    """
    将旋转从 Y-up 转换为 Z-up
    
    Y-up 欧拉角: [rx, ry, rz] 绕 x, y, z 轴旋转 (y 是垂直轴)
    Z-up 欧拉角: [rx, ry, rz] 绕 x, y, z 轴旋转 (z 是垂直轴)
    
    坐标轴映射: X -> X, Y -> Z, Z -> -Y
    
    compose_generated.py 使用 euler_matrix(rot[0], rot[1], rot[2], axes='rzxy'):
    - rot[0] 是绕 Z 轴的旋转
    - rot[1] 是绕 X 轴的旋转
    - rot[2] 是绕 Y 轴的旋转
    
    转换逻辑:
    - 绕 Y_yup 旋转 (垂直轴) -> 绕 Z_zup 旋转 -> 放到 rot[0]
    - 绕 X_yup 旋转 -> 绕 X_zup 旋转 -> 放到 rot[1]
    - 绕 Z_yup 旋转 -> 绕 -Y_zup 旋转 -> 放到 rot[2] 取负
    
    所以: [rx, ry, rz]_yup -> [ry, rx, -rz]_zup
    """
    if len(rot) != 3:
        return rot
    
    rx, ry, rz = rot
    
    # 坐标系旋转映射: [rx, ry, rz]_yup -> [ry, rx, -rz]_zup
    new_rot0 = ry   # Y_yup -> Z_zup (绕垂直轴)
    new_rot1 = rx   # X_yup -> X_zup
    new_rot2 = -rz  # Z_yup -> -Y_zup
    
    return [round(new_rot0, 6), round(new_rot1, 6), round(new_rot2, 6)]


def y_up_to_z_up_normal(normal: List[float]) -> List[float]:
    """
    将法向量从 Y-up 转换为 Z-up
    """
    if len(normal) != 3:
        return normal
    x, y, z = normal
    return [round(x, 4), round(-z, 4), round(y, 4)]


def transform_boundary_y_to_z(boundary: List[List[float]]) -> List[List[float]]:
    """
    将边界多边形从 Y-up 转换为 Z-up
    """
    return [y_up_to_z_up_pos(v) for v in boundary]


def transform_wall_segment_y_to_z(segment) -> List:
    """
    将墙壁段从 Y-up (2D: [x, z]) 转换为 Z-up (2D: [x, y])
    
    在 Y-up 系统中，墙壁段是 [x, z] (水平面是 XZ)
    在 Z-up 系统中，墙壁段是 [x, y] (水平面是 XY)
    
    转换: [x, z]_yup -> [x, -z]_zup = [x, y]_zup
    
    支持多种格式:
    - [[x, z], [x, z]] - 标准格式
    - [x1, z1, x2, z2] - 扁平格式
    - 其他格式保持不变
    """
    if not isinstance(segment, list) or len(segment) == 0:
        return segment
    
    # 检查第一个元素来判断格式
    first = segment[0]
    
    # 格式1: [[x, z], [x, z]] - 嵌套列表
    if isinstance(first, list):
        result = []
        for point in segment:
            if isinstance(point, list) and len(point) == 2:
                x, z = point
                result.append([round(x, 4), round(-z, 4)])
            else:
                result.append(point)
        return result
    
    # 格式2: [x1, z1, x2, z2] - 扁平列表
    elif isinstance(first, (int, float)) and len(segment) == 4:
        x1, z1, x2, z2 = segment
        return [[round(x1, 4), round(-z1, 4)], [round(x2, 4), round(-z2, 4)]]
    
    # 其他格式保持不变
    return segment


def transform_asset_scannet(asset: Dict, convert_rot_to_rad: bool = True) -> None:
    """
    转换 scannet/3rscan/arkitscenes 的 asset
    
    - pos: 已经是 Z-up，不变
    - size: 已经是 Z-up，不变  
    - rot: 角度 -> 弧度 (如果需要)
    """
    if "transform" in asset:
        transform = asset["transform"]
        
        # rot: 角度 -> 弧度
        if "rot" in transform and convert_rot_to_rad:
            rot = transform["rot"]
            transform["rot"] = [round(deg_to_rad(r), 6) for r in rot]
    else:
        # 直接格式
        if "rot" in asset and convert_rot_to_rad:
            rot = asset["rot"]
            asset["rot"] = [round(deg_to_rad(r), 6) for r in rot]


def transform_asset_3dfront(asset: Dict) -> None:
    """
    转换 3D-FRONT 的 asset
    
    - pos: Y-up -> Z-up
    - size: Y-up -> Z-up
    - rot: Y-up -> Z-up
    """
    if "transform" in asset:
        transform = asset["transform"]
        
        # pos: Y-up -> Z-up
        if "pos" in transform:
            transform["pos"] = y_up_to_z_up_pos(transform["pos"])
        
        # size: Y-up -> Z-up
        if "size" in transform:
            transform["size"] = y_up_to_z_up_size(transform["size"])
        
        # rot: Y-up -> Z-up
        if "rot" in transform:
            transform["rot"] = y_up_to_z_up_rot(transform["rot"])
    else:
        if "pos" in asset:
            asset["pos"] = y_up_to_z_up_pos(asset["pos"])
        if "size" in asset:
            asset["size"] = y_up_to_z_up_size(asset["size"])
        if "rot" in asset:
            asset["rot"] = y_up_to_z_up_rot(asset["rot"])


def align_layout_scannet(data: Dict) -> int:
    """
    对齐 scannet/3rscan/arkitscenes 的 layout
    
    Returns:
        处理的 asset 数量
    """
    asset_count = 0
    
    # 转换 architecture.boundary_polygon: Y-up -> Z-up
    if "architecture" in data:
        arch = data["architecture"]
        if "boundary_polygon" in arch:
            arch["boundary_polygon"] = transform_boundary_y_to_z(arch["boundary_polygon"])
        
        # 转换 structure_nodes 中的墙壁
        if "structure_nodes" in arch:
            for node in arch["structure_nodes"]:
                if "segment" in node:
                    node["segment"] = transform_wall_segment_y_to_z(node["segment"])
                if "normal" in node:
                    node["normal"] = y_up_to_z_up_normal(node["normal"])
    
    # 转换 assets: rot 角度 -> 弧度
    if "functional_zones" in data:
        for zone in data["functional_zones"]:
            if "assets" in zone:
                for asset in zone["assets"]:
                    transform_asset_scannet(asset, convert_rot_to_rad=True)
                    asset_count += 1
    
    if "assets" in data:
        for asset in data["assets"]:
            transform_asset_scannet(asset, convert_rot_to_rad=True)
            asset_count += 1
    
    return asset_count


def align_layout_3dfront(data: Dict) -> int:
    """
    对齐 3D-FRONT 的 layout
    
    Returns:
        处理的 asset 数量
    """
    asset_count = 0
    
    # 转换 architecture.boundary_polygon: Y-up -> Z-up
    if "architecture" in data:
        arch = data["architecture"]
        if "boundary_polygon" in arch:
            arch["boundary_polygon"] = transform_boundary_y_to_z(arch["boundary_polygon"])
        
        # 转换 structure_nodes 中的墙壁
        if "structure_nodes" in arch:
            for node in arch["structure_nodes"]:
                if "segment" in node:
                    node["segment"] = transform_wall_segment_y_to_z(node["segment"])
                if "normal" in node:
                    node["normal"] = y_up_to_z_up_normal(node["normal"])
    
    # 转换 assets: pos/size/rot 全部 Y-up -> Z-up
    if "functional_zones" in data:
        for zone in data["functional_zones"]:
            if "assets" in zone:
                for asset in zone["assets"]:
                    transform_asset_3dfront(asset)
                    asset_count += 1
    
    if "assets" in data:
        for asset in data["assets"]:
            transform_asset_3dfront(asset)
            asset_count += 1
    
    return asset_count


def align_single_layout(
    input_path: str,
    output_path: str,
    dataset_type: str
) -> Tuple[bool, str]:
    """
    对齐单个 layout.json 文件
    
    Args:
        input_path: 输入文件路径
        output_path: 输出文件路径
        dataset_type: 数据集类型 ('scannet', '3rscan', 'arkitscenes', '3d-front')
        
    Returns:
        (success, message)
    """
    try:
        with open(input_path, 'r', encoding='utf-8') as f:
            data = json.load(f)
        
        # 检查是否已经对齐过
        if data.get("meta", {}).get("aligned"):
            return True, "already aligned"
        
        # 根据数据集类型选择对齐函数
        if dataset_type == "3d-front":
            asset_count = align_layout_3dfront(data)
        else:
            # scannet, 3rscan, arkitscenes
            asset_count = align_layout_scannet(data)
        
        # 添加对齐标记
        if "meta" not in data:
            data["meta"] = {}
        data["meta"]["coordinate_system"] = "Z-up"
        data["meta"]["rotation_unit"] = "radians"
        data["meta"]["aligned"] = True
        data["meta"]["original_dataset"] = dataset_type
        
        # 确保输出目录存在
        os.makedirs(os.path.dirname(output_path), exist_ok=True)
        
        # 保存
        with open(output_path, 'w', encoding='utf-8') as f:
            json.dump(data, f, ensure_ascii=False, indent=2)
        
        return True, f"success ({asset_count} assets)"
        
    except Exception as e:
        traceback.print_exc()
        return False, f"Error: {e}"


def process_scene(args: Tuple[str, str, str, str]) -> Tuple[str, bool, str]:
    """处理单个场景 (用于多进程)"""
    scene_id, input_dir, output_dir, dataset_type = args
    
    input_path = os.path.join(input_dir, scene_id, "layout.json")
    output_path = os.path.join(output_dir, scene_id, "layout.json")
    
    if not os.path.isfile(input_path):
        return scene_id, False, "input not found"
    
    success, msg = align_single_layout(input_path, output_path, dataset_type)
    return scene_id, success, msg


def discover_scenes(base_dir: str, dataset: str = None) -> List[Tuple[str, str]]:
    """
    发现所有场景
    
    Args:
        base_dir: 基础目录
        dataset: 数据集名称 或 None 表示全部
        
    Returns:
        (场景路径, 数据集类型) 列表
    """
    scenes = []

    with open("/home/v-meiszhang/amlt-project/InternScenes/unified_layout_scenes.txt", 'r') as f:
        for line in f:
            line = line.strip()
            if not line:
                continue
            # 从路径中提取数据集类型 (第一个目录名)
            scene_type = line.split('/')[0]
            scenes.append((line, scene_type))
    
    # 过滤数据集
    if dataset and dataset != "all":
        # 只保留指定数据集的场景
        scenes = [(path, ds_type) for path, ds_type in scenes if ds_type == dataset]
    
    # 验证场景路径是否存在
    filtered_scenes = []
    for scene_name, ds_type in scenes:
        scene_path = os.path.join(base_dir, scene_name)
        if os.path.isdir(scene_path):
            layout_path = os.path.join(scene_path, "layout.json")
            if os.path.isfile(layout_path):
                filtered_scenes.append((scene_name, ds_type))
    
    return sorted(filtered_scenes, key=lambda x: x[0])


def main():
    parser = argparse.ArgumentParser(
        description="Align unified-layout coordinate system to Z-up"
    )
    
    parser.add_argument(
        "--input-dir",
        default="/home/v-meiszhang/backup/datas/unified-layout",
        help="Input unified-layout directory"
    )
    
    parser.add_argument(
        "--output-dir",
        default="/home/v-meiszhang/backup/datas/unified-layout-aligned",
        help="Output directory (default: input-dir with suffix '-zup')"
    )
    
    parser.add_argument(
        "--dataset",
        choices=["scannet", "arkitscenes", "3rscan", "3d-front", "all"],
        default="all",
        help="Dataset to process"
    )
    
    parser.add_argument(
        "--in-place",
        action="store_true",
        help="Modify files in place (output-dir = input-dir)"
    )
    
    parser.add_argument(
        "--workers", "-j",
        type=int,
        default=16,
        help="Number of worker processes"
    )
    
    parser.add_argument(
        "--limit",
        type=int,
        help="Limit number of scenes to process"
    )
    
    parser.add_argument(
        "--dry-run",
        action="store_true",
        help="Only show what would be done"
    )
    
    args = parser.parse_args()
    
    # 确定输出目录
    if args.in_place:
        output_dir = args.input_dir
    elif args.output_dir:
        output_dir = args.output_dir
    else:
        output_dir = args.input_dir + "-zup"
    
    print(f"Input directory:  {args.input_dir}")
    print(f"Output directory: {output_dir}")
    print(f"Dataset: {args.dataset}")
    print(f"Target coordinate system: Z-up")
    print(f"Target rotation unit: radians")
    
    # 发现场景
    scenes = discover_scenes(args.input_dir, args.dataset)
    
    if args.limit:
        scenes = scenes[:args.limit]
    
    print(f"\nFound {len(scenes)} scenes to process")
    
    # 统计各数据集数量
    ds_counts = {}
    for _, ds_type in scenes:
        ds_counts[ds_type] = ds_counts.get(ds_type, 0) + 1
    for ds, count in sorted(ds_counts.items()):
        print(f"  {ds}: {count}")
    
    if args.dry_run:
        print("\n[DRY RUN] Would process:")
        for scene, ds_type in scenes[:10]:
            print(f"  [{ds_type}] {scene}")
        if len(scenes) > 10:
            print(f"  ... and {len(scenes) - 10} more")
        return
    
    # 处理
    task_args = [(scene, args.input_dir, output_dir, ds_type) 
                 for scene, ds_type in scenes]
    
    results = {"success": 0, "failed": 0, "skipped": 0}
    
    print(f"\nProcessing with {args.workers} workers...")
    
    with ProcessPoolExecutor(max_workers=args.workers) as executor:
        futures = {executor.submit(process_scene, arg): arg[0] for arg in task_args}
        
        for i, future in enumerate(as_completed(futures), 1):
            scene_id = futures[future]
            scene_id, success, msg = future.result()
            
            if success:
                results["success"] += 1
            elif "not found" in msg or "already" in msg:
                results["skipped"] += 1
            else:
                results["failed"] += 1
                print(f"  FAILED: {scene_id}: {msg}")
            
            if i % 500 == 0 or i == len(scenes):
                print(f"[{i}/{len(scenes)}] success={results['success']}, "
                      f"skipped={results['skipped']}, failed={results['failed']}")
    
    # 统计
    print("\n" + "=" * 60)
    print("SUMMARY")
    print("=" * 60)
    print(f"Total scenes: {len(scenes)}")
    print(f"Successfully aligned: {results['success']}")
    print(f"Skipped (missing/already aligned): {results['skipped']}")
    print(f"Failed: {results['failed']}")
    print(f"\nOutput saved to: {output_dir}")


if __name__ == "__main__":
    main()