Datasets:
Size:
10K<n<100K
License:
test
Browse files- tomatotest.py +7 -4
tomatotest.py
CHANGED
@@ -57,9 +57,12 @@ class RGBSemanticDepthDataset(GeneratorBasedBuilder):
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return Image.open(io.BytesIO(bytes_stream))
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def _split_generators(self, dl_manager):
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-
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-
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-
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split_metadata = dl_manager.download(_metadata_urls)
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return [
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SplitGenerator(
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@@ -101,5 +104,5 @@ class RGBSemanticDepthDataset(GeneratorBasedBuilder):
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def _get_dataset_filenames(self):
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fs = HfFileSystem()
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all_files = fs.ls("datasets/xingjianli/tomatotest/data")
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-
filenames = ['/'.join(f['name'].split('/')[-2:]) for f in all_files]
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return filenames
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return Image.open(io.BytesIO(bytes_stream))
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def _split_generators(self, dl_manager):
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+
if 'full' == self.config.dataset_type:
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archives = dl_manager.download({"train":self._get_dataset_filenames(),
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"val":self._get_dataset_filenames()})
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else:
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archives = dl_manager.download({"train":self._get_dataset_filenames()[0],
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"val":self._get_dataset_filenames()[0]})
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split_metadata = dl_manager.download(_metadata_urls)
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return [
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SplitGenerator(
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def _get_dataset_filenames(self):
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fs = HfFileSystem()
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all_files = fs.ls("datasets/xingjianli/tomatotest/data")
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+
filenames = sorted(['/'.join(f['name'].split('/')[-2:]) for f in all_files])
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return filenames
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