Ejemplo n.º 1
0
    def test_download_guides(self, tmpdir, test_image_url, test_image):
        guide = data.DownloadableImage(
            test_image_url, file="guide" + path.splitext(test_image_url)[1],
        )
        image = data.DownloadableImage(
            test_image_url, guides=data.DownloadableImageCollection({"guide": guide}),
        )
        image.download(tmpdir)

        actual = read_image(path.join(tmpdir, guide.file))
        desired = test_image
        ptu.assert_allclose(actual, desired)
    def test_DownloadableImage_download_guides(self):
        with get_tmp_dir() as root:
            guide = data.DownloadableImage(
                self.TEST_IMAGE_URL,
                file="guide" + path.splitext(self.TEST_IMAGE_URL)[1],
            )
            image = data.DownloadableImage(
                self.TEST_IMAGE_URL,
                guides=data.DownloadableImageCollection({"guide": guide}),
            )
            image.download(root)

            actual = self.load_image(file=path.join(root, guide.file))
            desired = self.load_image()
            self.assertImagesAlmostEqual(actual, desired)
    def test_DownloadableImage_read(self):
        with get_tmp_dir() as root:
            image = data.DownloadableImage(self.TEST_IMAGE_URL)

            actual = image.read(root)
            desired = self.load_image()
            self.assertImagesAlmostEqual(actual, desired)
Ejemplo n.º 4
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    def test_read(self, tmpdir, test_image_url, test_image):
        names = [str(idx) for idx in range(3)]
        collection = data.DownloadableImageCollection(
            {name: data.DownloadableImage(test_image_url) for name in names}
        )
        images = collection.read(tmpdir)

        ptu.assert_allclose(images, dict(zip(names, [test_image] * len(names))))
Ejemplo n.º 5
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    def test_main(self, tmpdir, test_image_url, test_image):
        images = {"test_image": data.DownloadableImage(test_image_url)}
        collection = data.DownloadableImageCollection(images,)
        collection.download(root=tmpdir)

        actual = collection["test_image"].read(root=tmpdir)
        desired = test_image
        ptu.assert_allclose(actual, desired)
    def test_DownloadableImageCollection(self):
        with get_tmp_dir() as root:
            images = {"test_image": data.DownloadableImage(self.TEST_IMAGE_URL)}
            collection = data.DownloadableImageCollection(images,)
            collection.download(root=root)

            actual = collection["test_image"].read(root=root)
            desired = self.load_image()
            self.assertImagesAlmostEqual(actual, desired)
Ejemplo n.º 7
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    def test_download(self, tmpdir, test_image_url, test_image):
        image = data.DownloadableImage(test_image_url)
        image.download(tmpdir)

        file = path.join(tmpdir, image.file)
        assert path.exists(file)

        actual = read_image(file)
        desired = test_image
        ptu.assert_allclose(actual, desired)
    def test_DownloadableImage_download(self):
        with get_tmp_dir() as root:
            image = data.DownloadableImage(self.TEST_IMAGE_URL)
            image.download(root)

            file = path.join(root, image.file)
            self.assertTrue(path.exists(file))

            actual = self.load_image(file=file)
            desired = self.load_image()
            self.assertImagesAlmostEqual(actual, desired)
Ejemplo n.º 9
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    def test_download_exist(self, tmpdir, test_image_url, test_image_file, test_image):
        image = data.DownloadableImage(test_image_url)
        file = path.join(tmpdir, image.file)

        shutil.copyfile(test_image_file, file)

        with pytest.raises(FileExistsError):
            image.download(tmpdir)

        image.md5 = "invalid_hash"
        with pytest.raises(FileExistsError):
            image.download(tmpdir)

        image.md5 = "a858d33c424eaac1322cf3cab6d3d568"
        image.download(tmpdir)
    def test_DownloadableImage_download_exist(self):
        with get_tmp_dir() as root:
            image = data.DownloadableImage(self.TEST_IMAGE_URL)
            file = path.join(root, image.file)

            shutil.copyfile(self.default_image_file(), file)

            with self.assertRaises(FileExistsError):
                image.download(root)

            image.md5 = "invalid_hash"
            with self.assertRaises(FileExistsError):
                image.download(root)

            image.md5 = "a858d33c424eaac1322cf3cab6d3d568"
            image.download(root)
    def test_DownloadableImageCollection_read(self):
        with get_tmp_dir() as root:
            names = [str(idx) for idx in range(3)]
            collection = data.DownloadableImageCollection(
                {name: data.DownloadableImage(self.TEST_IMAGE_URL) for name in names}
            )
            images = collection.read(root)

            actual = images.keys()
            desired = names
            self.assertCountEqual(actual, desired)

            actuals = images.values()
            desired = self.load_image()
            for actual in actuals:
                self.assertImagesAlmostEqual(actual, desired)
Ejemplo n.º 12
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def images() -> data.DownloadableImageCollection:
    images_ = {
        "neckarfront": data.DownloadableImage(
            "https://upload.wikimedia.org/wikipedia/commons/0/00/Tuebingen_Neckarfront.jpg",
            title="Tübingen Neckarfront",
            author="Andreas Praefcke",
            license=data.CreativeCommonsLicense(("by",), version="3.0"),
            md5="dc9ad203263f34352e18bc29b03e1066",
            file="tuebingen_neckarfront__andreas_praefcke.jpg",
        ),
        "shipwreck": data.DownloadableImage(
            "https://blog-imgs-51.fc2.com/b/e/l/bell1976brain/800px-Shipwreck_turner.jpg",
            title="Shipwreck of the Minotaur",
            author="J. M. W. Turner",
            date="ca. 1810",
            license=data.ExpiredCopyrightLicense(1851),
            md5="4fb76d6f6fc1678cb74e858324d4d0cb",
            file="shipwreck_of_the_minotaur__turner.jpg",
        ),
        "starry_night": data.DownloadableImage(
            "https://upload.wikimedia.org/wikipedia/commons/thumb/e/ea/Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg/1280px-Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg",
            title="Starry Night",
            author="Vincent van Gogh",
            date="ca. 1889",
            license=data.ExpiredCopyrightLicense(1890),
            md5="372e5bc438e3e8d0eb52cc6f7ef44760",
        ),
        "the_scream": data.DownloadableImage(
            "https://upload.wikimedia.org/wikipedia/commons/f/f4/The_Scream.jpg",
            title="The Scream",
            author="Edvard Munch",
            date="ca. 1893",
            license=data.ExpiredCopyrightLicense(1944),
            md5="46ef64eea5a7b2d13dbadd420b531249",
        ),
        "femme_nue_assise": data.DownloadableImage(
            "https://upload.wikimedia.org/wikipedia/en/8/8f/Pablo_Picasso%2C_1909-10%2C_Figure_dans_un_Fauteuil_%28Seated_Nude%2C_Femme_nue_assise%29%2C_oil_on_canvas%2C_92.1_x_73_cm%2C_Tate_Modern%2C_London.jpg",
            title="Figure dans un Fauteuil",
            author="Pablo Ruiz Picasso",
            date="ca. 1909",
            license=data.ExpiredCopyrightLicense(1973),
            md5="ba14b947b225d9e5c59520a814376944",
        ),
        "composition_vii": data.DownloadableImage(
            "https://upload.wikimedia.org/wikipedia/commons/b/b4/Vassily_Kandinsky%2C_1913_-_Composition_7.jpg",
            title="Composition VII",
            author="Wassily Kandinsky",
            date="1913",
            license=data.ExpiredCopyrightLicense(1944),
            md5="bfcbc420684bf27d2d8581fa8cc9522f",
        ),
    }
    return data.DownloadableImageCollection(images_)
Ejemplo n.º 13
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    def test_download_overwrite(self, tmpdir, test_image_url, test_image):
        def create_fake_image(file):
            open(file, "wb").close()

        image = data.DownloadableImage(test_image_url)
        file = path.join(tmpdir, image.file)

        create_fake_image(file)
        image.download(tmpdir, overwrite=True)

        actual = read_image(file)
        desired = test_image
        ptu.assert_allclose(actual, desired)

        create_fake_image(file)
        image.md5 = "a858d33c424eaac1322cf3cab6d3d568"
        image.download(tmpdir, overwrite=True)

        actual = read_image(file)
        desired = test_image
        ptu.assert_allclose(actual, desired)
    def test_DownloadableImage_download_overwrite(self):
        def create_fake_image(file):
            open(file, "wb").close()

        with get_tmp_dir() as root:
            image = data.DownloadableImage(self.TEST_IMAGE_URL)
            file = path.join(root, image.file)

            create_fake_image(file)
            image.download(root, overwrite=True)

            actual = self.load_image(file=file)
            desired = self.load_image()
            self.assertImagesAlmostEqual(actual, desired)

            create_fake_image(file)
            image.md5 = "a858d33c424eaac1322cf3cab6d3d568"
            image.download(root, overwrite=True)

            actual = self.load_image(file=file)
            desired = self.load_image()
            self.assertImagesAlmostEqual(actual, desired)
 def test_DownloadableImage_repr_smoke(self):
     image = data.DownloadableImage(self.TEST_IMAGE_URL)
     self.assertIsInstance(repr(image), str)
Ejemplo n.º 16
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    def test_read(self, tmpdir, test_image_url, test_image):
        image = data.DownloadableImage(test_image_url)

        actual = image.read(tmpdir)
        desired = test_image
        ptu.assert_allclose(actual, desired)
Ejemplo n.º 17
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 def test_repr_smoke(self, test_image_url):
     image = data.DownloadableImage(test_image_url)
     assert isinstance(repr(image), str)
Ejemplo n.º 18
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def images() -> data.DownloadableImageCollection:
    return data.DownloadableImageCollection({
        "house":
        data.DownloadableImage(
            "https://github.com/leongatys/NeuralImageSynthesis/blob/cced0b978fe603569033b2c7f04460839e4d82c4/Images/ControlPaper/fig2_content.jpg?raw=true",
            file="house_concept_tillamook.jpg",
            license=license(
                "https://associateddesigns.com/sites/default/files/plan_images/main/craftsman_house_plan_tillamook_30-519-picart.jpg"
            ),
            md5="5629bf7b24a7c98db2580ec2a8d784e9",
            guides=data.DownloadableImageCollection({
                "building":
                data.DownloadableImage(
                    "https://github.com/leongatys/NeuralImageSynthesis/blob/cced0b978fe603569033b2c7f04460839e4d82c4/Images/ControlPaper/fig2_style1_nosky.jpg?raw=true",
                    file="building.jpg",
                    author="Gatys et al.",
                    license=license(),
                    md5="1fa945871244cf1cefc5e08f8da83fdf",
                ),
                "sky":
                data.DownloadableImage(
                    "https://github.com/leongatys/NeuralImageSynthesis/blob/cced0b978fe603569033b2c7f04460839e4d82c4/Images/ControlPaper/fig2_style1_sky.jpg?raw=true",
                    file="sky.jpg",
                    author="Gatys et al.",
                    license=license(),
                    md5="3c21f0d573cc73a6b58b9d559117805b",
                ),
            }),
        ),
        "watertown":
        data.DownloadableImage(
            "https://github.com/leongatys/NeuralImageSynthesis/blob/cced0b978fe603569033b2c7f04460839e4d82c4/Images/ControlPaper/fig2_style1.jpg?raw=true",
            file="watertown.jpg",
            license=license("https://de.aliexpress.com/item/1705231003.html"),
            md5="4cc98a503da5ce6eab0649b09fd3cf77",
            guides=data.DownloadableImageCollection({
                "building":
                data.DownloadableImage(
                    "https://github.com/leongatys/NeuralImageSynthesis/blob/cced0b978fe603569033b2c7f04460839e4d82c4/Images/ControlPaper/fig2_style1_nosky.jpg?raw=true",
                    file="building.jpg",
                    author="Gatys et al.",
                    license=license(),
                    md5="1fa945871244cf1cefc5e08f8da83fdf",
                ),
                "sky":
                data.DownloadableImage(
                    "https://github.com/leongatys/NeuralImageSynthesis/blob/cced0b978fe603569033b2c7f04460839e4d82c4/Images/ControlPaper/fig2_style1_sky.jpg?raw=true",
                    file="sky.jpg",
                    author="Gatys et al.",
                    license=license(),
                    md5="3c21f0d573cc73a6b58b9d559117805b",
                ),
            }),
        ),
        "wheat_field":
        data.DownloadableImage(
            "https://github.com/leongatys/NeuralImageSynthesis/blob/cced0b978fe603569033b2c7f04460839e4d82c4/Images/ControlPaper/fig2_style2.jpg?raw=true",
            file="wheat_field.jpg",
            license=license(
                "https://upload.wikimedia.org/wikipedia/commons/thumb/c/ce/Wheat-Field-with-Cypresses-%281889%29-Vincent-van-Gogh-Met.jpg/1920px-Wheat-Field-with-Cypresses-%281889%29-Vincent-van-Gogh-Met.jpg"
            ),
            md5="4af9e64534c055bf7db5ee3ab7daf608",
            guides=data.DownloadableImageCollection({
                "foreground":
                data.DownloadableImage(
                    "https://github.com/leongatys/NeuralImageSynthesis/blob/cced0b978fe603569033b2c7f04460839e4d82c4/Images/ControlPaper/fig2_style2_nosky.jpg?raw=true",
                    file="foreground.jpg",
                    author="Gatys et al.",
                    license=license(),
                    md5="67c6e653f4aa629140cb2fc53a3406d9",
                ),
                "sky":
                data.DownloadableImage(
                    "https://github.com/leongatys/NeuralImageSynthesis/blob/cced0b978fe603569033b2c7f04460839e4d82c4/Images/ControlPaper/fig2_style2_nosky.jpg?raw=true",
                    file="sky.jpg",
                    author="Gatys et al.",
                    license=license(),
                    md5="67c6e653f4aa629140cb2fc53a3406d9",
                ),
            }),
        ),
        "schultenhof":
        data.DownloadableImage(
            "https://github.com/leongatys/NeuralImageSynthesis/blob/cced0b978fe603569033b2c7f04460839e4d82c4/Images/ControlPaper/fig3_content.jpg?raw=true",
            file="schultenhof.jpg",
            license=license(
                "https://upload.wikimedia.org/wikipedia/commons/8/82/Schultenhof_Mettingen_Bauerngarten_8.jpg"
            ),
            md5="23f75f148b7b94d932e599bf0c5e4c8e",
        ),
        "starry_night":
        data.DownloadableImage(
            "https://github.com/leongatys/NeuralImageSynthesis/blob/cced0b978fe603569033b2c7f04460839e4d82c4/Images/ControlPaper/fig3_style1.jpg?raw=true",
            file="starry_night_over_the_rhone.jpg",
            license=license(
                "https://upload.wikimedia.org/wikipedia/commons/9/94/Starry_Night_Over_the_Rhone.jpg"
            ),
            md5="e67c25e4aa6070cc4e5ab7f3ce91c218",
        ),
    })
Ejemplo n.º 19
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def images() -> data.DownloadableImageCollection:
    images_ = {
        "emma": data.DownloadableImage(
            "https://live.staticflickr.com/1/2281680_656225393e_o_d.jpg",
            author="monsieuricon (mricon)",
            title="Emma",
            date="17.12.2004",
            transform=make_image_transform("emma"),
            license=data.CreativeCommonsLicense(("by", "sa"), "2.0"),
            note=image_note("https://www.flickr.com/photos/mricon/2281680/"),
            md5="e3befabfd0215357e580b07e7d0ed05a",
        ),
        "jenny": data.DownloadableImage(
            "https://live.staticflickr.com/8626/16426686859_f882b3d317_o_d.jpg",
            author="Vidar Schiefloe (lydhode)",
            title="Jenny",
            date="06.02.2015",
            license=data.CreativeCommonsLicense(("by", "sa"), "2.0"),
            transform=make_image_transform("jenny"),
            note=image_note(
                "https://www.flickr.com/photos/lydhode/16426686859/",
                mirror=True,
            ),
            md5="387eeb2d8cd1bf19d14c263e078bb0a1",
        ),
        "blue_bottle": data.DownloadableImage(
            "https://raw.githubusercontent.com/chuanli11/CNNMRF/master/data/content/potrait1.jpg",
            title="Blue Bottle",
            author="Christopher Michel (cmichel67)",
            date="02.09.2014",
            license="The image is part of a repository that is published under the MIT "
            "License (MIT) "
            "(https://github.com/chuanli11/CNNMRF/blob/fddcf4d01e2a6ce201059d8bc38597f74a09ba3f/License#L1)."
            "The original was probably downloaded from "
            "https://www.flickr.com/photos/cmichel67/15112861945. "
            "Proceed at your own risk.",
            note=image_note("https://www.flickr.com/photos/cmichel67/15112861945"),
            md5="cb29d11ef6e1be7e074aa58700110e4f",
        ),
        "self-portrait": data.DownloadableImage(
            "https://raw.githubusercontent.com/chuanli11/CNNMRF/master/data/style/picasso.jpg",
            title="Self-Portrait",
            author="Pablo Ruiz Picasso",
            date="1907",
            license=data.ExpiredCopyrightLicense(1973),
            note=image_note("https://www.pablo-ruiz-picasso.net/images/works/57.jpg"),
            md5="4bd9c963fd52feaa940083f07e259aea",
        ),
        "s": data.DownloadableImage(
            "https://live.staticflickr.com/7409/9270411440_cdc2ee9c35_o_d.jpg",
            author="theilr",
            title="S",
            date="18.09.2011",
            license=data.CreativeCommonsLicense(("by", "sa"), "2.0"),
            transform=make_image_transform("s"),
            note=image_note("https://www.flickr.com/photos/theilr/9270411440/"),
            md5="525550983f7fd36d3ec10fba735ad1ef",
        ),
        "composition_viii": data.DownloadableImage(
            "https://www.wassilykandinsky.net/images/works/50.jpg",
            title="Composition VIII",
            author="Wassily Kandinsky",
            date="1923",
            license=data.ExpiredCopyrightLicense(1944),
            md5="c39077aaa181fd40d7f2cd00c9c09619",
        ),
    }
    return data.DownloadableImageCollection(images_)