downloading imgs
Browse files- TID2008.py +17 -6
TID2008.py
CHANGED
@@ -68,17 +68,28 @@ class TID2008(datasets.GeneratorBasedBuilder):
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# print(kk)
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root_path = "/".join(data_path.split("/")[:-1])
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reference_path = dl_manager.download("reference_images")
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distorted_path = dl_manager.download("distorted_images")
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"reference": data["Reference"],
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"distorted": data["Distorted"],
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"mos": data["MOS"],
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"split": "train",
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},
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# print(kk)
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root_path = "/".join(data_path.split("/")[:-1])
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# reference_path = dl_manager.download("reference_images")
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# distorted_path = dl_manager.download("distorted_images")
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reference_paths = data["Reference"].apply(lambda x: os.path.join("reference_images", x))
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distorted_paths = data["Distorted"].apply(lambda x: os.path.join("distorted_images", x))
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reference_paths = dl_manager.download(reference_paths)
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distorted_paths = dl_manager.download(distorted_paths)
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# dl_manager.download(data["Reference"])
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# data["Reference"] = data["Reference"].apply(lambda x: os.path.join(reference_path, x))
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# data["Distorted"] = data["Distorted"].apply(lambda x: os.path.join(distorted_path, x))
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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# "reference": data["Reference"],
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# "distorted": data["Distorted"],
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"reference": reference_paths,
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"distorted": distorted_paths,
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"mos": data["MOS"],
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"split": "train",
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},
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