Python Image.ROTATE_180屬性代碼示例

本文整理匯總了Python中PIL.Image.ROTATE_180屬性的典型用法代碼示例。如果您正苦於以下問題：Python Image.ROTATE_180屬性的具體用法？Python Image.ROTATE_180怎麽用？Python Image.ROTATE_180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.ROTATE_180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_channels_order

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import ROTATE_180 [as 別名]
def test_channels_order(self):
        g = Image.linear_gradient('L')
        im = Image.merge('RGB', [g, g.transpose(Image.ROTATE_90),
                                 g.transpose(Image.ROTATE_180)])

        # Reverse channels by splitting and using table
        self.assert_image_equal(
            Image.merge('RGB', im.split()[::-1]),
            im._new(im.im.color_lut_3d('RGB', Image.LINEAR,
                    3, 2, 2, 2, [
                        0, 0, 0,  0, 0, 1,
                        0, 1, 0,  0, 1, 1,

                        1, 0, 0,  1, 0, 1,
                        1, 1, 0,  1, 1, 1,
                    ])))

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:18，代碼來源:test_color_lut.py

示例2: response

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import ROTATE_180 [as 別名]
def response(self, response, request, data):
        try:
            isImage = getattr(request, 'isImage')
        except AttributeError:
            isImage = False
        
        if isImage:
            try:
                #For some reason more images get parsed using the parser
                #rather than a file...PIL still needs some work I guess
                p = ImageFile.Parser()
                p.feed(data)
                im = p.close()
                im = im.transpose(Image.ROTATE_180)
                output = StringIO()
                im.save(output, format=self.imageType)
                data = output.getvalue()
                output.close()
                self.clientlog.info("Flipped image", extra=request.clientInfo)
            except Exception as e:
                self.clientlog.info("Error: {}".format(e), extra=request.clientInfo)
        
        return {'response': response, 'request': request, 'data': data}

開發者ID:paranoidninja，項目名稱:piSociEty，代碼行數:25，代碼來源:upsidedownternet.py

示例3: init

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import ROTATE_180 [as 別名]
def __init__(self, config, comm, CameraModule):

        super().__init__()

        self._comm = comm
        self._cfg = config
        self._cam = CameraModule

        self._cap = None
        self._pic_dims = None

        self._is_preview = self._cfg.getBool('Photobooth', 'show_preview')
        self._is_keep_pictures = self._cfg.getBool('Storage', 'keep_pictures')

        rot_vals = {0: None, 90: Image.ROTATE_90, 180: Image.ROTATE_180,
                    270: Image.ROTATE_270}
        self._rotation = rot_vals[self._cfg.getInt('Camera', 'rotation')]

開發者ID:reuterbal，項目名稱:photobooth，代碼行數:19，代碼來源:__init__.py

示例4: get_tta_patterns

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import ROTATE_180 [as 別名]
def get_tta_patterns(src, n):
    src_lr = src.transpose(Image.FLIP_LEFT_RIGHT)
    patterns = [
        [src, None],
        [src.transpose(Image.ROTATE_90), inv(-90)],
        [src.transpose(Image.ROTATE_180), inv(-180)],
        [src.transpose(Image.ROTATE_270), inv(-270)],
        [src_lr, inv(0, True)],
        [src_lr.transpose(Image.ROTATE_90), inv(-90, True)],
        [src_lr.transpose(Image.ROTATE_180), inv(-180, True)],
        [src_lr.transpose(Image.ROTATE_270), inv(-270, True)],
    ]
    if n == 2:
        return [patterns[0], patterns[4]]
    elif n == 4:
        return [patterns[0], patterns[2], patterns[4], patterns[6]]
    elif n == 8:
        return patterns
    return [patterns[0]]

開發者ID:tsurumeso，項目名稱:waifu2x-chainer，代碼行數:21，代碼來源:reconstruct.py

示例5: eval_angle

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import ROTATE_180 [as 別名]
def eval_angle(im,detectAngle=False):
    """
    估計圖片偏移角度
    @@param:im
    @@param:detectAngle 是否檢測文字朝向
    """
    angle = 0
    img = np.array(im)
    if detectAngle:
        angle = angle_detect(img=np.copy(img))##文字朝向檢測
        if angle==90:
            im = Image.fromarray(im).transpose(Image.ROTATE_90)
        elif angle==180:
            im = Image.fromarray(im).transpose(Image.ROTATE_180)
        elif angle==270:
            im = Image.fromarray(im).transpose(Image.ROTATE_270)
        img = np.array(im)
        
    return  angle,img

開發者ID:bing1zhi2，項目名稱:chinese_ocr，代碼行數:21，代碼來源:model.py

示例6: init

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import ROTATE_180 [as 別名]
def __init__(self, p, degree):
        """Creates an `JointRandomRotation` instance.

        Args:
          p: the probability for rotating.
        """

        self.p = p

        methods = {90: Image.ROTATE_90, 180: Image.ROTATE_180, 270: Image.ROTATE_270}

        if degree not in methods.keys():
            raise NotImplementedError("We only support multiple of 90 degree rotations for now")

        self.method = methods[degree]

開發者ID:mapbox，項目名稱:robosat，代碼行數:17，代碼來源:transforms.py

示例7: rotate

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import ROTATE_180 [as 別名]
def rotate(self, image, target, link, contour, angle):

		if angle == 0:
			if link is None:
				return image, target, contour
			return image, target, link, contour

		elif angle == 90:
			image = image.transpose(Image.ROTATE_90)
			target = target.transpose(Image.ROTATE_90)
			link = np.rot90(link)

			contour_f = self.contour_rotate(contour, 90, image.size[0], image.size[1])

		elif angle == 180:

			image = image.transpose(Image.ROTATE_180)
			target = target.transpose(Image.ROTATE_180)
			link = np.rot90(np.rot90(link))
			contour_f = self.contour_rotate(contour, 180, image.size[1], image.size[0])

		elif angle == 270:
			image = image.transpose(Image.ROTATE_270)
			target = target.transpose(Image.ROTATE_270)
			link = np.rot90(np.rot90(np.rot90(link)))
			contour_f = self.contour_rotate(contour, 270, image.size[0], image.size[1])

		if link is None:
				return image, target, contour_f

		return image, target, link, contour_f

開發者ID:mayank-git-hub，項目名稱:Text-Recognition，代碼行數:33，代碼來源:dete_loader.py

示例8: rotate

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import ROTATE_180 [as 別名]
def rotate(self, img, rot):
        if rot == 0:
            img_rt = img
        elif rot == 90:
            img_rt = img.transpose(Image.ROTATE_90)
        elif rot == 180:
            img_rt = img.transpose(Image.ROTATE_180)
        elif rot == 270:
            img_rt = img.transpose(Image.ROTATE_270)
        else:
            raise ValueError('Rotation angles should be in [0, 90, 180, 270]')
        return img_rt

開發者ID:Jiaolong，項目名稱:self-supervised-da，代碼行數:14，代碼來源:rotate_dataset.py

示例9: test_rotate_180_deg

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import ROTATE_180 [as 別名]
def test_rotate_180_deg(self):
        self._test_rotate(180, Image.ROTATE_180)

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:4，代碼來源:test_image_transform.py

示例10: test_identities

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import ROTATE_180 [as 別名]
def test_identities(self):
        g = Image.linear_gradient('L')
        im = Image.merge('RGB', [g, g.transpose(Image.ROTATE_90),
                                 g.transpose(Image.ROTATE_180)])

        # Fast test with small cubes
        for size in [2, 3, 5, 7, 11, 16, 17]:
            self.assert_image_equal(im, im._new(
                im.im.color_lut_3d('RGB', Image.LINEAR,
                                   *self.generate_identity_table(3, size))))

        # Not so fast
        self.assert_image_equal(im, im._new(
            im.im.color_lut_3d('RGB', Image.LINEAR,
                               *self.generate_identity_table(3, (2, 2, 65)))))

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:17，代碼來源:test_color_lut.py

示例11: test_identities_4_channels

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import ROTATE_180 [as 別名]
def test_identities_4_channels(self):
        g = Image.linear_gradient('L')
        im = Image.merge('RGB', [g, g.transpose(Image.ROTATE_90),
                                 g.transpose(Image.ROTATE_180)])

        # Red channel copied to alpha
        self.assert_image_equal(
            Image.merge('RGBA', (im.split()*2)[:4]),
            im._new(im.im.color_lut_3d('RGBA', Image.LINEAR,
                                       *self.generate_identity_table(4, 17))))

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:12，代碼來源:test_color_lut.py

示例12: test_copy_alpha_channel

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import ROTATE_180 [as 別名]
def test_copy_alpha_channel(self):
        g = Image.linear_gradient('L')
        im = Image.merge('RGBA', [g, g.transpose(Image.ROTATE_90),
                                  g.transpose(Image.ROTATE_180),
                                  g.transpose(Image.ROTATE_270)])

        self.assert_image_equal(im, im._new(
            im.im.color_lut_3d('RGBA', Image.LINEAR,
                               *self.generate_identity_table(3, 17))))

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:11，代碼來源:test_color_lut.py

示例13: test_numpy_formats

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import ROTATE_180 [as 別名]
def test_numpy_formats(self):
        g = Image.linear_gradient('L')
        im = Image.merge('RGB', [g, g.transpose(Image.ROTATE_90),
                                 g.transpose(Image.ROTATE_180)])

        lut = ImageFilter.Color3DLUT.generate((7, 9, 11),
                                              lambda r, g, b: (r, g, b))
        lut.table = numpy.array(lut.table, dtype=numpy.float32)[:-1]
        with self.assertRaisesRegex(ValueError, "should have table_channels"):
            im.filter(lut)

        lut = ImageFilter.Color3DLUT.generate((7, 9, 11),
                                              lambda r, g, b: (r, g, b))
        lut.table = (numpy.array(lut.table, dtype=numpy.float32)
                     .reshape((7 * 9 * 11), 3))
        with self.assertRaisesRegex(ValueError, "should have table_channels"):
            im.filter(lut)

        lut = ImageFilter.Color3DLUT.generate((7, 9, 11),
                                              lambda r, g, b: (r, g, b))
        lut.table = numpy.array(lut.table, dtype=numpy.float16)
        self.assert_image_equal(im, im.filter(lut))

        lut = ImageFilter.Color3DLUT.generate((7, 9, 11),
                                              lambda r, g, b: (r, g, b))
        lut.table = numpy.array(lut.table, dtype=numpy.float32)
        self.assert_image_equal(im, im.filter(lut))

        lut = ImageFilter.Color3DLUT.generate((7, 9, 11),
                                              lambda r, g, b: (r, g, b))
        lut.table = numpy.array(lut.table, dtype=numpy.float64)
        self.assert_image_equal(im, im.filter(lut))

        lut = ImageFilter.Color3DLUT.generate((7, 9, 11),
                                              lambda r, g, b: (r, g, b))
        lut.table = numpy.array(lut.table, dtype=numpy.int32)
        im.filter(lut)
        lut.table = numpy.array(lut.table, dtype=numpy.int8)
        im.filter(lut)

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:41，代碼來源:test_color_lut.py

示例14: test_apply

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import ROTATE_180 [as 別名]
def test_apply(self):
        lut = ImageFilter.Color3DLUT.generate(5, lambda r, g, b: (r, g, b))

        g = Image.linear_gradient('L')
        im = Image.merge('RGB', [g, g.transpose(Image.ROTATE_90),
                                 g.transpose(Image.ROTATE_180)])
        self.assertEqual(im, im.filter(lut))

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

示例15: gradient_RGB

# 需要導入模塊: from PIL import Image [as 別名]
# 或者: from PIL.Image import ROTATE_180 [as 別名]
def gradient_RGB(self):
        return Image.merge('RGB', [
            self.gradient_L,
            self.gradient_L.transpose(Image.ROTATE_90),
            self.gradient_L.transpose(Image.ROTATE_180),
        ])

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

注：本文中的PIL.Image.ROTATE_180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。