Santiago Hincapie-Potes commited on
Commit
b333b72
1 Parent(s): c5689b8

fix: image relative path

Browse files
bosch-small-traffic-lights-dataset.py CHANGED
@@ -43,8 +43,8 @@ the color distribution may seem unusual.
43
  _HOMEPAGE = "https://hci.iwr.uni-heidelberg.de/content/bosch-small-traffic-lights-dataset"
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  _LICENSE = "non-commercial use only"
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  _URL = {
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- "train": "https://huggingface.co/datasets/shpotes/bosch-small-traffic-lights-dataset/resolve/main/train.tar.gz",
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- "test": "https://huggingface.co/datasets/shpotes/bosch-small-traffic-lights-dataset/resolve/main/test.tar.gz",
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  }
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  class BoschSmallTrafficLights(datasets.GeneratorBasedBuilder):
@@ -76,28 +76,34 @@ class BoschSmallTrafficLights(datasets.GeneratorBasedBuilder):
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  def _split_generators(self, dl_manager):
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  urls = _URL
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  data_dir = dl_manager.download_and_extract(urls)
 
 
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
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  # These kwargs will be passed to _generate_examples
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  gen_kwargs={
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- "filepath": os.path.join(data_dir["train"], "train.yaml"),
 
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  },
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
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  # These kwargs will be passed to _generate_examples
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  gen_kwargs={
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- "filepath": os.path.join(data_dir["test"], "test.yaml"),
 
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  },
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  ),
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  ]
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- def _generate_examples(self, filepath):
 
 
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  with open(filepath, encoding="utf-8") as f:
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  data = yaml.load(f, Loader=yaml.FullLoader)
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  for key, row in enumerate(data):
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  yield key, {
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- "img": os.path.abspath(row["path"]),
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  "boxes": row["boxes"]
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  }
 
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  _HOMEPAGE = "https://hci.iwr.uni-heidelberg.de/content/bosch-small-traffic-lights-dataset"
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  _LICENSE = "non-commercial use only"
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  _URL = {
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+ "train": "train.tar.gz",
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+ "test": "test.tar.gz",
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  }
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  class BoschSmallTrafficLights(datasets.GeneratorBasedBuilder):
 
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  def _split_generators(self, dl_manager):
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  urls = _URL
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  data_dir = dl_manager.download_and_extract(urls)
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+ print(data_dir)
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+
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
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  # These kwargs will be passed to _generate_examples
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  gen_kwargs={
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+ "root_dir": data_dir["train"],
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+ "filepath": "train.yaml",
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  },
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  ),
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  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
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  # These kwargs will be passed to _generate_examples
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  gen_kwargs={
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+ "root_dir": data_dir["test"],
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+ "filepath": "test.yaml",
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  },
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  ),
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  ]
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+ def _generate_examples(self, root_dir, filepath):
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+ filepath = os.path.join(root_dir, filepath)
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+
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  with open(filepath, encoding="utf-8") as f:
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  data = yaml.load(f, Loader=yaml.FullLoader)
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  for key, row in enumerate(data):
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  yield key, {
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+ "img": os.path.join(root_dir, row["path"]),
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  "boxes": row["boxes"]
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  }