data

CIFAR.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ad7d6a77cf72b4c6ff601ec7e532fbd2c66e8d702cb56d057a224db75e370d26
-size 98018039

Databases_IlluminantChanges.py

@@ -1,111 +0,0 @@
-import os
-import re
-
-import pandas as pd
-import datasets
-
-# _CITATION = """\
-# @article{ponomarenko_tid2008_2009,
-# author = {Ponomarenko, Nikolay and Lukin, Vladimir and Zelensky, Alexander and Egiazarian, Karen and Astola, Jaakko and Carli, Marco and Battisti, Federica},
-# title = {{TID2008} -- {A} {Database} for {Evaluation} of {Full}- {Reference} {Visual} {Quality} {Assessment} {Metrics}},
-# year = {2009}
-# }
-# """
-
-
-_DESCRIPTION = """"""
-
-_HOMEPAGE = ""
-_REPO = ""
-
-# _LICENSE = ""
-class IlluminantConfig(datasets.BuilderConfig):
-    """BuilderConfig for IlluminantChanges."""
-
-    def __init__(self, data_url, **kwargs):
-        """BuilderConfig for Imagette.
-        Args:
-          data_url: `string`, url to download the zip file from.
-          matadata_urls: dictionary with keys 'train' and 'validation' containing the archive metadata URLs
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(IlluminantConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
-        self.data_url = data_url
-
-class Databases_IlluminantChanges(datasets.GeneratorBasedBuilder):
-    """"""
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        IlluminantConfig(
-            name="MNIST",
-            description="MNIST data",
-            data_url=f"./MNIST.zip",
-        ),
-        IlluminantConfig(
-            name="CIFAR",
-            description="CIFAR data",
-            data_url=f"./CIFAR.zip",
-        ),
-        IlluminantConfig(
-            name="Imagenet",
-            description="Imagenet data",
-            data_url=f"./Imagenet.zip",
-        ),
-        IlluminantConfig(
-            name="TID13",
-            description="TID13 data",
-            data_url=f"./TID13.zip",
-        ),
-    ]
-
-    def _info(self):
-        # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
-        features = datasets.Features(
-            {
-                # "images": datasets.Image(),
-                "reference": datasets.Image(),
-                "distorted": datasets.Image(),
-                # "mos": datasets.Value("float")
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            # supervised_keys=("reference", "distorted", "mos"),
-            homepage=_HOMEPAGE,
-            # license=_LICENSE,
-            # citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-
-        archive_path = dl_manager.download(self.config.data_url)
-        # print(f"Data url: {self.config.data_url} | {archive_path}")
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "images": dl_manager.download_and_extract(archive_path),
-                    "split": "train",
-                },
-            )
-        ]
-
-    def _generate_examples(self, images, split):
-        desat_path = os.path.join(images, self.config.name, "Desat")
-        illum_path = os.path.join(images, self.config.name, "Illum")
-
-        illum_paths = [os.path.join(illum_path, p) for p in os.listdir(illum_path)]
-
-        ## Get the correct desat image for each illum image
-        img_numbers = [re.findall("im_(\d+)_tono_\d+_sat_\d+.png", p)[0] for p in illum_paths]
-        desat_paths = [os.path.join(desat_path, f"im_orig_desat{n}.png") for n in img_numbers]
-
-        # print(desat_paths[0], illum_paths[0])
-        for key, (desat, illum) in enumerate(zip(desat_paths, illum_paths)):
-            yield key, {
-                "reference": desat,
-                "distorted": illum,
-            }

Imagenet.zip

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-oid sha256:904e091ccdf9396c733c7359ea6d2f5d70064e3e01b6e418bb240c8c99d8e5c4
-size 4601530043

MNIST.zip

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-version https://git-lfs.github.com/spec/v1
-oid sha256:4bffe004d2b4baa23db1879b5258b916d093bb824516bdb0ccd0e78c8471e3a0
-size 29605529

TID13.zip

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-version https://git-lfs.github.com/spec/v1
-oid sha256:9313a0670681bbb3dfba8068c87ea102d20bc752b854e23a1e093865c6cf15d6
-size 1361737295