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  1. README.md +17 -0
  2. data/video_01.zip +3 -0
  3. i2i.py +73 -0
README.md ADDED
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+ ---
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+ dataset_info:
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+ config_name: video_01
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+ features:
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+ - name: initial_image
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+ dtype: image
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+ - name: edit_prompt
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+ dtype: string
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+ - name: edited_image
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+ dtype: image
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+ splits:
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+ - name: train
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+ num_bytes: 3604
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+ num_examples: 10
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+ download_size: 548787
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+ dataset_size: 3604
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+ ---
data/video_01.zip ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:23e5ce54a127b3b55a05a4fc03527a20c73b105b7bb7b0f2eb04013f6ca1c693
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+ size 548787
i2i.py ADDED
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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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+ import lxml.etree
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+
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+ _DESCRIPTION = """\
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+ The dataset img2img data.
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+ """
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+ _NAME = "i2i"
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+
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+ _HOMEPAGE = f"https://huggingface.co/datasets/pranjalipathre/{_NAME}"
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+
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+ _LICENSE = ""
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+
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+ # _DATA = f"https://huggingface.co/datasets/pranjalipathre/{_NAME}/resolve/main/data/"
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+ _DATA = f"/home/pranjali/Documents/Research/pybullet/img2img/{_NAME}/data/"
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+
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+ class i2iDataset(datasets.GeneratorBasedBuilder):
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+ BUILDER_CONFIGS = [
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+ datasets.BuilderConfig(name="video_01", data_dir=f"{_DATA}video_01.zip"),
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+ ]
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+
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+ DEFAULT_CONFIG_NAME = "video_01"
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+
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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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+ "initial_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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+
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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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+
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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)
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+ ele = root.find(f".//prompt[@frame='{idx}']")
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+ # print("Extracted text: ", ele.get("text"))
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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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+
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+ def _generate_examples(self, data):
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+ tree = lxml.etree.parse(os.path.join(data, "annotations.xml"))
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+ root = tree.getroot()
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+
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+ for idx, file in enumerate(sorted(os.listdir(os.path.join(data, "initial_images")))):
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+ dat = self.parse_text(root, file, idx)
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+ txt = dat["text"]
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+
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+ yield idx, {
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+ "initial_image": os.path.join(data, "initial_images", file),
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+ "edit_prompt": txt,
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+ "edited_image": os.path.join(data, "edited_images", file.replace("_ip", "")),
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+ }