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"""Kodak. |
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Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor. |
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Licensed under the Apache License, Version 2.0 (the "License"); |
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you may not use this file except in compliance with the License. |
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You may obtain a copy of the License at |
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http://www.apache.org/licenses/LICENSE-2.0 |
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Unless required by applicable law or agreed to in writing, software |
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distributed under the License is distributed on an "AS IS" BASIS, |
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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See the License for the specific language governing permissions and |
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limitations under the License. |
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""" |
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import datasets |
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NUMBER = 24 |
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_DESCRIPTION = """\ |
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The pictures below link to lossless, true color (24 bits per pixel, aka "full |
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color") images. It is my understanding they have been released by the Eastman |
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Kodak Company for unrestricted usage. Many sites use them as a standard test |
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suite for compression testing, etc. Prior to this site, they were only |
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available in the Sun Raster format via ftp. This meant that the images could |
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not be previewed before downloading. Since their release, however, the lossless |
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PNG format has been incorporated into all the major browsers. Since PNG |
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supports 24-bit lossless color (which GIF and JPEG do not), it is now possible |
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to offer this browser-friendly access to the images. |
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""" |
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_HOMEPAGE = "https://r0k.us/graphics/kodak/" |
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_LICENSE = "GPLv3" |
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_URLS = [ |
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f"https://github.com/MohamedBakrAli/Kodak-Lossless-True-Color-Image-Suite/raw/master/PhotoCD_PCD0992/{i}.png" |
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for i in range(1, 1 + NUMBER) |
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] |
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class Kodak(datasets.GeneratorBasedBuilder): |
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"""Kodak datasets.""" |
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VERSION = datasets.Version("0.0.1") |
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def _info(self): |
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features = datasets.Features( |
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{ |
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"image": datasets.Image(), |
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} |
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) |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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homepage=_HOMEPAGE, |
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license=_LICENSE, |
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) |
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def _split_generators(self, dl_manager): |
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"""Return SplitGenerators.""" |
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file_paths = dl_manager.download_and_extract(_URLS) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={ |
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"file_paths": file_paths, |
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}, |
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), |
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] |
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def _generate_examples(self, file_paths): |
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"""Yield examples.""" |
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for file_path in file_paths: |
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yield file_path, {"image": file_path} |
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