ziq commited on
Commit
208802b
·
1 Parent(s): 2735d7b

Update rsna-atd.py

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Files changed (1) hide show
  1. rsna-atd.py +22 -26
rsna-atd.py CHANGED
@@ -33,27 +33,27 @@ class RSNAATD(datasets.GeneratorBasedBuilder):
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  description=_DESCRIPTION,
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  features=datasets.Features(
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  {
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- "test": datasets.Value("string"),
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- # "patient_id": datasets.Value("int64"),
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- # "series_id": datasets.Value("int64"),
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- # "image": datasets.Array3D(shape=(None, 512, 512), dtype="uint8"),
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- # "mask": datasets.Array3D(shape=(None, 512, 512), dtype="uint8"),
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- # "aortic_hu": datasets.Value("float64"),
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- # "incomplete_organ": datasets.Value("int64"),
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- # "bowel_healthy": datasets.Value("int64"),
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- # "bowel_injury": datasets.Value("int64"),
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- # "extravasation_healthy": datasets.Value("int64"),
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- # "extravasation_injury": datasets.Value("int64"),
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- # "kidney_healthy": datasets.Value("int64"),
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- # "kidney_low": datasets.Value("int64"),
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- # "kidney_high": datasets.Value("int64"),
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- # "liver_healthy": datasets.Value("int64"),
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- # "liver_low": datasets.Value("int64"),
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- # "liver_high": datasets.Value("int64"),
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- # "spleen_healthy": datasets.Value("int64"),
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- # "spleen_low": datasets.Value("int64"),
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- # "spleen_high": datasets.Value("int64"),
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- # "any_injury": datasets.Value("int64"),
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  }
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  ),
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  supervised_keys=None,
@@ -94,11 +94,7 @@ class RSNAATD(datasets.GeneratorBasedBuilder):
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  # }
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  # return
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  for idx, (image_path, mask_path) in enumerate(zip(sorted(images), sorted(masks))):
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- data = df.loc[df["path"] == Path(image_path).name].to_numpy()
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- yield 0, {
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- "test": f"{data}"
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- }
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- return
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  image, mask = [hkl.load(image_path)], [hkl.load(mask_path)]
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  (
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  patient_id,
 
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  description=_DESCRIPTION,
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  features=datasets.Features(
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  {
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+ # "test": datasets.Value("string"),
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+ "patient_id": datasets.Value("int64"),
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+ "series_id": datasets.Value("int64"),
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+ "image": datasets.Array3D(shape=(None, 512, 512), dtype="uint8"),
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+ "mask": datasets.Array3D(shape=(None, 512, 512), dtype="uint8"),
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+ "aortic_hu": datasets.Value("float64"),
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+ "incomplete_organ": datasets.Value("int64"),
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+ "bowel_healthy": datasets.Value("int64"),
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+ "bowel_injury": datasets.Value("int64"),
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+ "extravasation_healthy": datasets.Value("int64"),
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+ "extravasation_injury": datasets.Value("int64"),
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+ "kidney_healthy": datasets.Value("int64"),
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+ "kidney_low": datasets.Value("int64"),
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+ "kidney_high": datasets.Value("int64"),
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+ "liver_healthy": datasets.Value("int64"),
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+ "liver_low": datasets.Value("int64"),
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+ "liver_high": datasets.Value("int64"),
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+ "spleen_healthy": datasets.Value("int64"),
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+ "spleen_low": datasets.Value("int64"),
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+ "spleen_high": datasets.Value("int64"),
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+ "any_injury": datasets.Value("int64"),
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  }
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  ),
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  supervised_keys=None,
 
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  # }
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  # return
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  for idx, (image_path, mask_path) in enumerate(zip(sorted(images), sorted(masks))):
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+ data = df.loc[df["path"] == Path(image_path).name].to_numpy()[0]
 
 
 
 
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  image, mask = [hkl.load(image_path)], [hkl.load(mask_path)]
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  (
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  patient_id,