Python Image.BOX屬性代碼示例

本文整理匯總了Python中PIL.Image.BOX屬性的典型用法代碼示例。如果您正苦於以下問題：Python Image.BOX屬性的具體用法？Python Image.BOX怎麽用？Python Image.BOX使用的例子？那麽, 這裏精選的屬性代碼示例或許可以為您提供幫助。您也可以進一步了解該屬性所在類PIL.Image的用法示例。

在下文中一共展示了Image.BOX屬性的15個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: test_subsample

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import BOX [as 別名]
def test_subsample(self):
        # This test shows advantages of the subpixel resizing
        # after supersampling (e.g. during JPEG decoding).
        im = Image.open("Tests/images/flower.jpg")
        self.assertEqual(im.size, (480, 360))
        dst_size = (48, 36)
        # Reference is cropped image resized to destination
        reference = im.crop((0, 0, 473, 353)).resize(dst_size, Image.BICUBIC)
        # Image.BOX emulates supersampling (480 / 8 = 60, 360 / 8 = 45)
        supersampled = im.resize((60, 45), Image.BOX)

        with_box = supersampled.resize(dst_size, Image.BICUBIC,
                                       (0, 0, 59.125, 44.125))
        without_box = supersampled.resize(dst_size, Image.BICUBIC)

        # error with box should be much smaller than without
        self.assert_image_similar(reference, with_box, 6)
        with self.assertRaisesRegex(AssertionError, r"difference 29\."):
            self.assert_image_similar(reference, without_box, 5)

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:21，代碼來源:test_image_resample.py

示例2: init

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import BOX [as 別名]
def __init__(self, size, maintain_aspect_ratio=False, resample='bicubic'):
        self.size = size
        self.maintain_aspect_ratio = maintain_aspect_ratio
        resampling_mapping = {
            'nearest': Image.NEAREST,
            'bilinear': Image.BILINEAR,
            'bicubic': Image.BICUBIC,
            'lanczos': Image.LANCZOS,
            'box': Image.BOX,
            'hamming': Image.HAMMING,
        }
        if resample.lower() not in resampling_mapping.keys():
            raise ValueError(
                "Unknown resampling method '{}'. Allowed values are '{}'"
                .format(resample, "', '".join(resampling_mapping.keys())))
        self.resample = resampling_mapping[resample]
        super().__init__()

開發者ID:tyarkoni，項目名稱:pliers，代碼行數:19，代碼來源:image.py

示例3: init

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import BOX [as 別名]
def __init__(self, interpolation):
        if Image is None:
            raise ImportError(
                'pillow backend for resize operation requires TensorFlow. Please install it before usage.'
            )
        self._supported_interpolations = {
            'NEAREST': Image.NEAREST,
            'NONE': Image.NONE,
            'BILINEAR': Image.BILINEAR,
            'LINEAR': Image.LINEAR,
            'BICUBIC': Image.BICUBIC,
            'CUBIC': Image.CUBIC,
            'ANTIALIAS': Image.ANTIALIAS,
        }
        try:
            optional_interpolations = {
                'BOX': Image.BOX,
                'LANCZOS': Image.LANCZOS,
                'HAMMING': Image.HAMMING,
            }
            self._supported_interpolations.update(optional_interpolations)
        except AttributeError:
            pass
        super().__init__(interpolation)

開發者ID:opencv，項目名稱:open_model_zoo，代碼行數:26，代碼來源:resize.py

示例4: supported_interpolations

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import BOX [as 別名]
def supported_interpolations(cls):
        if Image is None:
            return {}
        intrp = {
            'NEAREST': Image.NEAREST,
            'NONE': Image.NONE,
            'BILINEAR': Image.BILINEAR,
            'LINEAR': Image.LINEAR,
            'BICUBIC': Image.BICUBIC,
            'CUBIC': Image.CUBIC,
            'ANTIALIAS': Image.ANTIALIAS
        }
        try:
            optional_interpolations = {
                'BOX': Image.BOX,
                'LANCZOS': Image.LANCZOS,
                'HAMMING': Image.HAMMING,
            }
            intrp.update(optional_interpolations)
        except AttributeError:
            pass
        return intrp

開發者ID:opencv，項目名稱:open_model_zoo，代碼行數:24，代碼來源:resize.py

示例5: pixelate

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import BOX [as 別名]
def pixelate(x, severity=1):
    c = [0.6, 0.5, 0.4, 0.3, 0.25][severity - 1]

    x = x.resize((int(224 * c), int(224 * c)), PILImage.BOX)
    x = x.resize((224, 224), PILImage.BOX)

    return x


# mod of https://gist.github.com/erniejunior/601cdf56d2b424757de5

開發者ID:hendrycks，項目名稱:robustness，代碼行數:12，代碼來源:corruptions.py

示例6: pixelate

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import BOX [as 別名]
def pixelate(x, severity=1):
    c = [0.95, 0.9, 0.85, 0.75, 0.65][severity - 1]

    x = x.resize((int(32 * c), int(32 * c)), PILImage.BOX)
    x = x.resize((32, 32), PILImage.BOX)

    return x


# mod of https://gist.github.com/erniejunior/601cdf56d2b424757de5

開發者ID:hendrycks，項目名稱:robustness，代碼行數:12，代碼來源:make_cifar_c.py

示例7: pixelate

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import BOX [as 別名]
def pixelate(x, severity=1):
    c = [0.9, 0.8, 0.7, 0.6, 0.5][severity - 1]

    x = x.resize((int(64 * c), int(64 * c)), PILImage.BOX)
    x = x.resize((64, 64), PILImage.BOX)

    return x


# mod of https://gist.github.com/erniejunior/601cdf56d2b424757de5

開發者ID:hendrycks，項目名稱:robustness，代碼行數:12，代碼來源:make_tinyimagenet_c.py

示例8: pixelate

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import BOX [as 別名]
def pixelate(x, severity=1):
    c = [0.5, 0.4, 0.3, 0.25, 0.2][severity - 1]

    x = x.resize((int(299 * c), int(299 * c)), PILImage.BOX)
    x = x.resize((299, 299), PILImage.BOX)

    return x


# mod of https://gist.github.com/erniejunior/601cdf56d2b424757de5

開發者ID:hendrycks，項目名稱:robustness，代碼行數:12，代碼來源:make_imagenet_c_inception.py

示例9: test_reduce_box

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import BOX [as 別名]
def test_reduce_box(self):
        for mode in ['RGBX', 'RGB', 'La', 'L']:
            case = self.make_case(mode, (8, 8), 0xe1)
            case = case.resize((4, 4), Image.BOX)
            data = ('e1 e1'
                    'e1 e1')
            for channel in case.split():
                self.check_case(channel, self.make_sample(data, (4, 4)))

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:10，代碼來源:test_image_resample.py

示例10: test_enlarge_box

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import BOX [as 別名]
def test_enlarge_box(self):
        for mode in ['RGBX', 'RGB', 'La', 'L']:
            case = self.make_case(mode, (2, 2), 0xe1)
            case = case.resize((4, 4), Image.BOX)
            data = ('e1 e1'
                    'e1 e1')
            for channel in case.split():
                self.check_case(channel, self.make_sample(data, (4, 4)))

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:10，代碼來源:test_image_resample.py

示例11: test_levels_rgba

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import BOX [as 別名]
def test_levels_rgba(self):
        case = self.make_levels_case('RGBA')
        self.run_levels_case(case.resize((512, 32), Image.BOX))
        self.run_levels_case(case.resize((512, 32), Image.BILINEAR))
        self.run_levels_case(case.resize((512, 32), Image.HAMMING))
        self.run_levels_case(case.resize((512, 32), Image.BICUBIC))
        self.run_levels_case(case.resize((512, 32), Image.LANCZOS))

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:9，代碼來源:test_image_resample.py

示例12: test_levels_la

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import BOX [as 別名]
def test_levels_la(self):
        case = self.make_levels_case('LA')
        self.run_levels_case(case.resize((512, 32), Image.BOX))
        self.run_levels_case(case.resize((512, 32), Image.BILINEAR))
        self.run_levels_case(case.resize((512, 32), Image.HAMMING))
        self.run_levels_case(case.resize((512, 32), Image.BICUBIC))
        self.run_levels_case(case.resize((512, 32), Image.LANCZOS))

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:9，代碼來源:test_image_resample.py

示例13: test_dirty_pixels_rgba

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import BOX [as 別名]
def test_dirty_pixels_rgba(self):
        case = self.make_dirty_case('RGBA', (255, 255, 0, 128), (0, 0, 255, 0))
        self.run_dirty_case(case.resize((20, 20), Image.BOX), (255, 255, 0))
        self.run_dirty_case(case.resize((20, 20), Image.BILINEAR),
                            (255, 255, 0))
        self.run_dirty_case(case.resize((20, 20), Image.HAMMING),
                            (255, 255, 0))
        self.run_dirty_case(case.resize((20, 20), Image.BICUBIC),
                            (255, 255, 0))
        self.run_dirty_case(case.resize((20, 20), Image.LANCZOS),
                            (255, 255, 0))

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:13，代碼來源:test_image_resample.py

示例14: test_wrong_arguments

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import BOX [as 別名]
def test_wrong_arguments(self):
        im = hopper()
        for resample in (Image.NEAREST, Image.BOX, Image.BILINEAR,
                         Image.HAMMING, Image.BICUBIC, Image.LANCZOS):
            im.resize((32, 32), resample, (0, 0, im.width, im.height))
            im.resize((32, 32), resample, (20, 20, im.width, im.height))
            im.resize((32, 32), resample, (20, 20, 20, 100))
            im.resize((32, 32), resample, (20, 20, 100, 20))

            with self.assertRaisesRegex(TypeError,
                                        "must be sequence of length 4"):
                im.resize((32, 32), resample, (im.width, im.height))

            with self.assertRaisesRegex(ValueError, "can't be negative"):
                im.resize((32, 32), resample, (-20, 20, 100, 100))
            with self.assertRaisesRegex(ValueError, "can't be negative"):
                im.resize((32, 32), resample, (20, -20, 100, 100))

            with self.assertRaisesRegex(ValueError, "can't be empty"):
                im.resize((32, 32), resample, (20.1, 20, 20, 100))
            with self.assertRaisesRegex(ValueError, "can't be empty"):
                im.resize((32, 32), resample, (20, 20.1, 100, 20))
            with self.assertRaisesRegex(ValueError, "can't be empty"):
                im.resize((32, 32), resample, (20.1, 20.1, 20, 20))

            with self.assertRaisesRegex(ValueError, "can't exceed"):
                im.resize((32, 32), resample, (0, 0, im.width + 1, im.height))
            with self.assertRaisesRegex(ValueError, "can't exceed"):
                im.resize((32, 32), resample, (0, 0, im.width, im.height + 1))

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:31，代碼來源:test_image_resample.py

示例15: test_reduce_filters

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import BOX [as 別名]
def test_reduce_filters(self):
        for f in [Image.NEAREST, Image.BOX, Image.BILINEAR,
                  Image.HAMMING, Image.BICUBIC, Image.LANCZOS]:
            r = self.resize(hopper("RGB"), (15, 12), f)
            self.assertEqual(r.mode, "RGB")
            self.assertEqual(r.size, (15, 12))

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:8，代碼來源:test_image_resize.py

注：本文中的PIL.Image.BOX屬性示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。