import json from pathlib import Path from PIL import Image from typing import Dict class DeepFurnitureDataset: """A simple dataset loader for DeepFurniture dataset.""" def __init__(self, data_dir: str): """Initialize the dataset loader. Args: data_dir: Path to the dataset directory """ self.data_dir = Path(data_dir) # Load metadata with open(self.data_dir / "metadata" / "categories.json") as f: self.categories = json.load(f) with open(self.data_dir / "metadata" / "styles.json") as f: self.styles = json.load(f) # Get scene directories self.scene_dirs = sorted(p for p in (self.data_dir / "scenes").iterdir() if p.is_dir()) def __len__(self) -> int: """Get number of scenes in dataset.""" return len(self.scene_dirs) def __getitem__(self, idx: int) -> Dict: """Get a single scene with its annotations and related data. Returns: Dict containing: - scene_id (str): Scene identifier - image (PIL.Image): Scene image - depth (PIL.Image or None): Depth map if available - has_depth (bool): Whether depth map is available - instances (List[Dict]): List of furniture instances with: - category_id: Category identifier - category_name: Category name - identity_id: Furniture identity identifier - style_ids: List of style identifiers - style_names: List of style names - bounding_box: Dict with xmin, ymin, xmax, ymax - segmentation: Segmentation mask - furniture_previews (Dict[str, PIL.Image]): Mapping of furniture IDs to preview images """ # Get scene directory scene_dir = self.scene_dirs[idx] scene_id = scene_dir.name # Load image image = Image.open(scene_dir / "image.jpg") # Load depth if available depth = None has_depth = False depth_path = scene_dir / "depth.png" if depth_path.exists(): try: depth = Image.open(depth_path) has_depth = True except Exception as e: print(f"Warning: Failed to load depth map for scene {scene_id}: {e}") # Load annotation with open(scene_dir / "annotation.json") as f: annotation = json.load(f) # Process instances instances = [] furniture_ids = set() for inst in annotation["instances"]: instance_data = { "category_id": inst["categoryID"], "category_name": inst["categoryName"], "identity_id": inst["identityID"], "style_ids": inst["styleIDs"], "style_names": inst["styleNames"], "bounding_box": { "xmin": inst["boundingBox"]["xMin"], "ymin": inst["boundingBox"]["yMin"], "xmax": inst["boundingBox"]["xMax"], "ymax": inst["boundingBox"]["yMax"], }, "segmentation": inst["segmentation"] if "segmentation" in inst else None, } instances.append(instance_data) furniture_ids.add(str(inst["identityID"])) # Load furniture previews furniture_previews = {} for furniture_id in furniture_ids: furniture_path = self.data_dir / "furnitures" / f"{furniture_id}.jpg" if furniture_path.exists(): try: furniture_previews[furniture_id] = Image.open(furniture_path) except Exception as e: print(f"Warning: Failed to load furniture preview {furniture_id}: {e}") return { "scene_id": scene_id, "image": image, "depth": depth, "has_depth": has_depth, "instances": instances, "furniture_previews": furniture_previews } def __iter__(self): """Iterate through all scenes.""" for i in range(len(self)): yield self[i]