Datasets:
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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] |