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import csv
import json
import os
import datasets
from PIL import Image
import tarfile
from io import BytesIO
import logging
import datasets
from datasets.utils.logging import get_logger, tqdm
logger = get_logger(__name__) # <- same pattern used in HF scripts
_DESCRIPTION = "WikiChurches is a dataset for architectural style classification"
_HOMEPAGE = "https://huggingface.co/datasets/LZSI-2/WikiChurches"
_LICENSE = "cc-by-nc-4.0"
_CITATION = """@article{barz2021wikichurches,
title={WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges},
author={Barz, Björn and Denzler, Joachim},
journal={arXiv preprint arXiv:2108.06959},
year={2021}
}"""
TAR_PARTS = 40
_TAR_URLS =[f"https://huggingface.co/datasets/LZSI-2/WikiChurches/resolve/main/images/images_part{part_id}.tar" for part_id in range(1, TAR_PARTS + 1)]
_URLS = {
"churches_json": "https://huggingface.co/datasets/LZSI-2/WikiChurches/resolve/main/churches.json",
"style_levels": "https://huggingface.co/datasets/LZSI-2/WikiChurches/resolve/main/style_levels.json",
"style_names": "https://huggingface.co/datasets/LZSI-2/WikiChurches/resolve/main/style_names.txt",
}
class SacredBuildingsDataset(datasets.GeneratorBasedBuilder):
"""Sacred Buildings Dataset with support for different hierarchy levels."""
VERSION = datasets.Version("0.0.1")
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name="wc4",
version=VERSION,
description="Wiki Churches 4 main classes"
),
datasets.BuilderConfig(
name="wc6",
version=VERSION,
description="Wiki Churches 6 largest classes"
),
datasets.BuilderConfig(
name="wc14",
version=VERSION,
description="Wiki Churches 14 first-level classes"
),
]
DEFAULT_CONFIG_NAME = "wc4"
def _info(self):
features = datasets.Features({
"image": datasets.Image(),
"style": datasets.Value("string"),
"church_id": datasets.Value("string"),
})
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _get_style_names(self, style_levels):
return style_levels.get(self.config.name, {})
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
downloaded_files = dl_manager.download(_TAR_URLS)
data_dir = dl_manager.download_and_extract(_URLS)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"file_paths": downloaded_files,
"data_dir": data_dir,
},
),
]
def _trace_to_top_parent(self, style_id, hierarchy):
while style_id in hierarchy and hierarchy[style_id]["parent"]:
style_id = hierarchy[style_id]["parent"]
return style_id
def _generate_examples(self, file_paths, data_dir):
with open(data_dir["churches_json"], "r") as f:
churches_data = json.load(f)
with open(data_dir["style_levels"], "r") as f:
style_levels = json.load(f)
style_levels = json.load(open(data_dir["style_levels"], "r"))
if self.config.name == "wc4":
domain_styles = list(style_levels["statistics"]["styles_by_size"].keys())[:5]
elif self.config.name == "wc6":
domain_styles = list(style_levels["statistics"]["styles_by_size"].keys())[:7]
elif self.config.name == "wc14":
domain_styles = list(style_levels["statistics"]["styles_by_size"].keys())[:15]
"""Yields examples."""
# Load churches data
for filepath in file_paths:
logger.info(f"Processing {filepath.split('/')[-1]}")
with tarfile.open(filepath, "r") as tar:
for member in tqdm(tar.getmembers(),
desc=f"{os.path.basename(filepath)}"):
if member.isfile():
logger.debug(f"Processing {member.name}")
image_file = tar.extractfile(member)
church_id = member.name.split("_")[0]
image_name = member.name
if church_id not in churches_data:
continue
church_styles = churches_data[church_id]["styles"]
top_level_set = set()
for s_id in church_styles:
top_parent = self._trace_to_top_parent(s_id, style_levels["hierarchy"])
if top_parent in domain_styles:
top_level_set.add(top_parent)
if len(top_level_set) == 1:
label_name = top_level_set.pop()
with Image.open(image_file) as image:
image = image.convert("RGB")
yield image_name, {
"image": image,
"style": label_name,
"church_id": church_id,
}
else:
continue
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