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import os |
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import datasets |
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_CITATION = "https://arxiv.org/abs/2012.12453" |
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_DESCRIPTION = "CholecSeg8K dataset for semantic segmentation in laparoscopic cholecystectomy surgery." |
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_HOMEPAGE_URL = "https://www.kaggle.com/datasets/newslab/cholecseg8k" |
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_DATA_URL = "data/CholecSeg8k.zip" |
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_LICENSE= "cc-by-nc-sa-4.0" |
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class CholecSeg8KConfig(datasets.BuilderConfig): |
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""" |
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BuilderConfig for CholecSeg8k dataset. |
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Args: |
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name (str): Name of the configuration. |
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description (str): Description of the dataset. |
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homepage (str): Homepage URL of the dataset. |
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data_url (str): URL to download the dataset. |
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""" |
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def __init__(self, name, description, homepage, data_url): |
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super(CholecSeg8KConfig, self).__init__( |
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name=self.name, |
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version=datasets.Version("1.0.0"), |
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description=self.description, |
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) |
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self.name = name |
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self.description = description |
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self.homepage = homepage |
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self.data_url = data_url |
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def _build_config(name): |
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"""Builds and returns the dataset configuration.""" |
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return CholecSeg8KConfig( |
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name=name, |
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description=_DESCRIPTION, |
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homepage=_HOMEPAGE_URL, |
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data_url=_DATA_URL, |
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) |
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class CholecSeg8K(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [_build_config("all")] |
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def _info(self): |
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"""Returns the dataset info.""" |
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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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"image": datasets.Image(), |
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"color_mask": datasets.Image(), |
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"watershed_mask": datasets.Image(), |
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"annotation_mask": datasets.Image(), |
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} |
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), |
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supervised_keys=None, |
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homepage=_HOMEPAGE_URL, |
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citation=_CITATION, |
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license=_LICENSE, |
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) |
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def _split_generators(self, dl_manager): |
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"""Generates data splits.""" |
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datapath = dl_manager.download_and_extract(_DATA_URL) |
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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={"datapath": datapath}, |
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), |
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] |
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def _generate_examples(self, datapath): |
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"""Yields examples.""" |
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key=0 |
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datapath = os.path.join(datapath, "CholecSeg8k") |
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for video_folder in os.listdir(datapath): |
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video_folder_path = os.path.join(datapath, video_folder) |
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for clip_folder in os.listdir(video_folder_path): |
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clip_folder_path = os.path.join(video_folder_path, clip_folder) |
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for file in os.listdir(clip_folder_path): |
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if file.endswith("_endo.png"): |
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image_path = os.path.join(clip_folder_path, file) |
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base_filename = file.replace("_endo.png", "") |
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color_mask_path = os.path.join(clip_folder_path, f"{base_filename}_endo_color_mask.png") |
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watershed_mask_path = os.path.join(clip_folder_path, f"{base_filename}_endo_watershed_mask.png") |
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annotation_mask_path = os.path.join(clip_folder_path, f"{base_filename}_endo_mask.png") |
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yield key, { |
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"image": image_path, |
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"color_mask": color_mask_path, |
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"watershed_mask": watershed_mask_path, |
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"annotation_mask": annotation_mask_path, |
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} |
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key+=1 |
