Datasets:
Tasks:
Image Segmentation
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
License:
| import os | |
| from datasets import DatasetBuilder, DatasetInfo, SplitGenerator, Split, Features, Value | |
| class DopplerRetina(DatasetBuilder): | |
| VERSION = "1.0.0" | |
| def _info(self): | |
| return DatasetInfo( | |
| description="Retinal Doppler artery/vein segmentation dataset", | |
| features=Features({ | |
| "measure_id": Value("string"), | |
| "m0": Value("string"), | |
| "correlation": Value("string"), | |
| "diasys": Value("string"), | |
| "artery_mask": Value("string"), | |
| "vein_mask": Value("string"), | |
| }), | |
| ) | |
| def _split_generators(self, dl_manager): | |
| repo_dir = dl_manager.download_and_extract(self.base_path) | |
| return [ | |
| SplitGenerator( | |
| name=Split.TRAIN, | |
| gen_kwargs={"path": os.path.join(repo_dir, "train")}, | |
| ), | |
| SplitGenerator( | |
| name=Split.TEST, | |
| gen_kwargs={"path": os.path.join(repo_dir, "test")}, | |
| ), | |
| ] | |
| def _generate_examples(self, path): | |
| for measure in sorted(os.listdir(path)): | |
| mdir = os.path.join(path, measure) | |
| if not os.path.isdir(mdir): | |
| continue | |
| yield measure, { | |
| "measure_id": measure, | |
| "m0": os.path.join(mdir, "M0.png"), | |
| "correlation": os.path.join(mdir, "correlation.png"), | |
| "diasys": os.path.join(mdir, "diasys.png"), | |
| "artery_mask": os.path.join(mdir, "maskArtery.png"), | |
| "vein_mask": os.path.join(mdir, "maskVein.png"), | |
| } | |