feat: implement SacredBuildingsDataset class for architectural style classification
Browse files- sacred_buildings_loader.py +166 -0
sacred_buildings_loader.py
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import csv
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import json
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import os
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import datasets
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from PIL import Image
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import tarfile
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from io import BytesIO
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import logging
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import datasets
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from datasets.utils.logging import get_logger, tqdm
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logger = get_logger(__name__) # <- same pattern used in HF scripts
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_DESCRIPTION = "WikiChurches is a dataset for architectural style classification"
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_HOMEPAGE = "https://huggingface.co/datasets/LZSI-2/Recognizing_the_styles_of_sacred_buildings"
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_LICENSE = "cc-by-nc-4.0"
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_CITATION = """@article{barz2021wikichurches,
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title={WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges},
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author={Barz, Björn and Denzler, Joachim},
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journal={arXiv preprint arXiv:2108.06959},
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year={2021}
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}"""
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TAR_PARTS = 40
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_TAR_URLS =[f"https://huggingface.co/datasets/LZSI-2/Recognizing_the_styles_of_sacred_buildings/resolve/main/images/images_part{part_id}.tar" for part_id in range(1, TAR_PARTS + 1)]
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_URLS = {
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"churches_json": "https://huggingface.co/datasets/LZSI-2/Recognizing_the_styles_of_sacred_buildings/resolve/main/churches.json",
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"style_levels": "https://huggingface.co/datasets/LZSI-2/Recognizing_the_styles_of_sacred_buildings/resolve/main/style_levels.json",
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"style_names": "https://huggingface.co/datasets/LZSI-2/Recognizing_the_styles_of_sacred_buildings/resolve/main/style_names.txt",
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}
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_DESCRIPTION = """WikiChurches is a dataset for architectural style classification"""
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_HOMEPAGE = "https://github.com/yourusername/sacred_buildings"
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class SacredBuildingsDataset(datasets.GeneratorBasedBuilder):
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"""Sacred Buildings Dataset with support for different hierarchy levels."""
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VERSION = datasets.Version("0.0.1")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name="wc4",
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version=VERSION,
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description="Wiki Churches 4 main classes"
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),
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datasets.BuilderConfig(
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name="wc6",
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version=VERSION,
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description="Wiki Churches 6 largest classes"
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),
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datasets.BuilderConfig(
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name="wc14",
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version=VERSION,
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description="Wiki Churches 14 first-level classes"
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),
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]
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DEFAULT_CONFIG_NAME = "wc4"
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def _info(self):
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features = datasets.Features({
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"image": datasets.Image(),
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"style": datasets.Value("string"),
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"church_id": datasets.Value("string"),
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})
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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)
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def _get_style_names(self, style_levels):
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return style_levels.get(self.config.name, {})
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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downloaded_files = dl_manager.download(_TAR_URLS)
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data_dir = dl_manager.download_and_extract(_URLS)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"file_paths": downloaded_files,
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"data_dir": data_dir,
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},
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),
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]
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def _trace_to_top_parent(self, style_id, hierarchy):
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while style_id in hierarchy and hierarchy[style_id]["parent"]:
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style_id = hierarchy[style_id]["parent"]
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return style_id
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def _generate_examples(self, file_paths, data_dir):
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with open(data_dir["churches_json"], "r") as f:
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churches_data = json.load(f)
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with open(data_dir["style_levels"], "r") as f:
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style_levels = json.load(f)
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style_levels = json.load(open(data_dir["style_levels"], "r"))
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if self.config.name == "wc4":
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domain_styles = list(style_levels["statistics"]["styles_by_size"].keys())[:4]
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elif self.config.name == "wc6":
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domain_styles = list(style_levels["statistics"]["styles_by_size"].keys())[:6]
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"""Yields examples."""
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# Load churches data
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for filepath in file_paths:
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logger.info(f"Processing {filepath.split('/')[-1]}")
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with tarfile.open(filepath, "r") as tar:
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for member in tqdm(tar.getmembers(),
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desc=f"{os.path.basename(filepath)}"):
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if member.isfile():
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image_file = tar.extractfile(member)
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church_id = member.name.split("_")[0]
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image_name = member.name
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if church_id not in churches_data:
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continue
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church_styles = churches_data[church_id]["styles"]
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top_level_set = set()
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for s_id in church_styles:
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top_parent = self._trace_to_top_parent(s_id, style_levels["hierarchy"])
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if top_parent in domain_styles:
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top_level_set.add(top_parent)
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if len(top_level_set) == 1:
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label_name = top_level_set.pop()
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with Image.open(image_file) as image:
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image = image.convert("RGB")
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yield image_name, {
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"image": image,
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"style": label_name,
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"church_id": church_id,
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}
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else:
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continue
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