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import os |
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from xml.etree import ElementTree as ET |
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import datasets |
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_DESCRIPTION = """\ |
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The dataset img2img data. |
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""" |
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_NAME = "pybullet_img2img" |
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_HOMEPAGE = f"https://huggingface.co/datasets/pranjalipathre/{_NAME}" |
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_LICENSE = "" |
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_DATA = f"https://huggingface.co/datasets/pranjalipathre/{_NAME}/resolve/main/data/" |
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class i2iDataset(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name="video_00", data_dir=f"{_DATA}video_00.zip"), |
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datasets.BuilderConfig(name="video_01", data_dir=f"{_DATA}video_01.zip"), |
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datasets.BuilderConfig(name="video_02", data_dir=f"{_DATA}video_02.zip"), |
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datasets.BuilderConfig(name="video_03", data_dir=f"{_DATA}video_03.zip"), |
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datasets.BuilderConfig(name="video_04", data_dir=f"{_DATA}video_04.zip"), |
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datasets.BuilderConfig(name="video_05", data_dir=f"{_DATA}video_05.zip"), |
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datasets.BuilderConfig(name="video_06", data_dir=f"{_DATA}video_06.zip"), |
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datasets.BuilderConfig(name="video_07", data_dir=f"{_DATA}video_07.zip"), |
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datasets.BuilderConfig(name="video_08", data_dir=f"{_DATA}video_08.zip"), |
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datasets.BuilderConfig(name="video_09", data_dir=f"{_DATA}video_09.zip"), |
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datasets.BuilderConfig(name="video_10", data_dir=f"{_DATA}video_10.zip"), |
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datasets.BuilderConfig(name="video_11", data_dir=f"{_DATA}video_11.zip"), |
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datasets.BuilderConfig(name="video_12", data_dir=f"{_DATA}video_12.zip"), |
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datasets.BuilderConfig(name="video_13", data_dir=f"{_DATA}video_13.zip"), |
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datasets.BuilderConfig(name="video_14", data_dir=f"{_DATA}video_14.zip"), |
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datasets.BuilderConfig(name="video_15", data_dir=f"{_DATA}video_15.zip"), |
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datasets.BuilderConfig(name="video_16", data_dir=f"{_DATA}video_16.zip"), |
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datasets.BuilderConfig(name="video_17", data_dir=f"{_DATA}video_17.zip"), |
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datasets.BuilderConfig(name="video_18", data_dir=f"{_DATA}video_18.zip"), |
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datasets.BuilderConfig(name="video_19", data_dir=f"{_DATA}video_19.zip"), |
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] |
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DEFAULT_CONFIG_NAME = "video_13" |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features( |
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{ |
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"original_image": datasets.Image(), |
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"edit_prompt": datasets.Value("string"), |
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"edited_image": datasets.Image(), |
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} |
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), |
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supervised_keys=None, |
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homepage=_HOMEPAGE, |
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citation=None, |
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) |
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def _split_generators(self, dl_manager): |
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data = dl_manager.download_and_extract(self.config.data_dir) |
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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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"data": data, |
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}, |
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), |
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] |
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@staticmethod |
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def parse_text(root: ET.Element, file: str, index: int) -> dict: |
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idx = str(index).zfill(6) |
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ele = root.find(f".//*[@frame='{idx}']") |
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dt = { |
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"text": ele.get("text") |
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} |
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return dt |
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def _generate_examples(self, data): |
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treePath = os.path.join(data, "annotations.xml") |
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tree = ET.parse(treePath) |
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root = tree.getroot() |
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for idx, file in enumerate(sorted(os.listdir(os.path.join(data, "original_images")))): |
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dat = self.parse_text(root, file, idx) |
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txt = dat["text"] |
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yield idx, { |
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"original_image": os.path.join(data, "original_images", file), |
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"edit_prompt": txt, |
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"edited_image": os.path.join(data, "edited_images", file), |
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} |