Update test.py
Browse files
test.py
CHANGED
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@@ -567,9 +567,15 @@ class Food500(datasets.GeneratorBasedBuilder):
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split_metadata_path = dl_manager.download(_METADATA_URL)
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metadata = dl_manager.iter_archive(split_metadata_path)
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for file_path, file_obj in metadata:
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if file_path == _TRAIN_TXT:
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pass
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return [
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datasets.SplitGenerator(
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@@ -597,7 +603,6 @@ class Food500(datasets.GeneratorBasedBuilder):
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def _generate_examples(self, images, metadata_set):
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"""Generate images and labels for splits."""
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metadata_set = {path.encode("utf-8") for path in metadata_set}
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for file_path, file_obj in images:
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if file_path.startswith(_IMAGES_DIR):
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if file_path[len(_IMAGES_DIR) : -len(".jpg")] in metadata_set:
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split_metadata_path = dl_manager.download(_METADATA_URL)
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metadata = dl_manager.iter_archive(split_metadata_path)
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for file_path, file_obj in metadata:
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if file_path == _TRAIN_TXT:
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train_set = set(file_obj.read().split("\n"))
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train_set = {path.encode("utf-8") for path in train_set}
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if file_path == _VALID_TXT:
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valid_set = set(file_obj.read().split("\n"))
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valid_set = {path.encode("utf-8") for path in train_set}
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if file_path == _TEST_TXT:
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test_set = set(file_obj.read().split("\n"))
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test_set = {path.encode("utf-8") for path in train_set}
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pass
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return [
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datasets.SplitGenerator(
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def _generate_examples(self, images, metadata_set):
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"""Generate images and labels for splits."""
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for file_path, file_obj in images:
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if file_path.startswith(_IMAGES_DIR):
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if file_path[len(_IMAGES_DIR) : -len(".jpg")] in metadata_set:
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