processed_scannet_eval/gather_test.py

import os
import shutil
from pathlib import Path
import subprocess


# 给定场景路径
scene_path = Path("/data/SamVGGT/datasets/processed_scannet_eval/scene0707_00")

scene_id = scene_path.name  



# 创建目标目录
gt_seg_dir = scene_path / "gt_seg"
gt_pose_dir = scene_path / "gt_cam"
gt_depth_dir = scene_path / "gt_depth"
gt_seg_dir.mkdir(exist_ok=True)
gt_pose_dir.mkdir(exist_ok=True)
gt_depth_dir.mkdir(exist_ok=True)

# 遍历 images 文件夹下的所有 jpg 图片
image_dir = scene_path / "images"
image_files = [f for f in image_dir.iterdir() if f.suffix == ".jpg"]
target_image_files = [f"{int(f.stem)}.png" for f in image_files]

script_path = 'datasets/processed_scannet/convert_scannet_label_image.py'

input_dir = f'datasets/processed_scannet/scans_test/{scene_id}/label-filt'
output_dir = f'datasets/processed_scannet_eval//{scene_id}/gt_seg'
label_map_file = '/data/SamVGGT/datasets/processed_scannet/scannetv2-labels.combined.tsv'

# 确保输出目录存在
os.makedirs(output_dir, exist_ok=True)

cmd = [
    'python',
    script_path,
    '--input_file', input_dir,
    '--label_map_file', label_map_file,
    '--output_file', output_dir,
    '--target_images'
] + target_image_files

print(f'Running: {" ".join(cmd)}')
subprocess.run(cmd, check=True)

for img_path in image_files:
    prefix = img_path.stem  # 例如 frame_000000

    # 原始语义路径
    semantic_base = Path("/data/SamVGGT/datasets/processed_scannet/scans_test") / scene_id / "label-filt"
    lable_file = semantic_base / f"{int(prefix)}.png"


    # 深度图路径
    depth_file = Path("/data/SamVGGT/datasets/processed_scannet/scans_test") / scene_id / "depth" / f"{prefix}.png"
    if depth_file.exists():
        shutil.copy2(str(depth_file), gt_depth_dir / depth_file.name)
    else:
        print(f"[缺失] {depth_file}")

    # pose路径
    pose_file = Path("/data/SamVGGT/datasets/processed_scannet/scans_test") / scene_id / "cam" / f"{prefix}.npz"
    if pose_file.exists():
        shutil.copy2(str(pose_file), gt_pose_dir / pose_file.name)
    else:
        print(f"[缺失] {pose_file}")

print(f"Completed scene_id: {scene_id}")