Python Image.clone示例

示例#1

 def test_image_gradient(self):
     img = Image(np.array([[0, 1, 0], [3, 4, 5.], [6, 7, 8]]))
     op_img = gradient(img)
     self.assertEqual(
         op_img,
         img.clone(np.array([[3.162278, 3.162278], [3.162278, 3.162278]]),
                   group='Gradient'))

示例#2

 def test_image_transform(self):
     img = Image(np.random.rand(10, 10))
     op_img = transform(img, operator=lambda x: x * 2)
     self.assertEqual(op_img, img.clone(img.data * 2, group='Transform'))

示例#3

 def test_image_threshold(self):
     img = Image(np.array([[0, 1, 0], [3, 4, 5.]]))
     op_img = threshold(img)
     self.assertEqual(
         op_img,
         img.clone(np.array([[0, 1, 0], [1, 1, 1]]), group='Threshold'))

示例#4

 def test_operation_element(self):
     img = Image(np.random.rand(10, 10))
     op_img = operation(img, op=lambda x, k: x.clone(x.data * 2))
     self.assertEqual(op_img, img.clone(img.data * 2, group='Operation'))

示例#5

文件： testoperation.py 项目： mforbes/holoviews

 def test_image_gradient(self):
     img = Image(np.array([[0, 1, 0], [3, 4, 5.], [6, 7, 8]]))
     op_img = gradient(img)
     self.assertEqual(op_img, img.clone(np.array([[3.162278, 3.162278], [3.162278, 3.162278]]), group='Gradient'))

示例#6

文件： testoperation.py 项目： mforbes/holoviews

 def test_image_threshold(self):
     img = Image(np.array([[0, 1, 0], [3, 4, 5.]]))
     op_img = threshold(img)
     self.assertEqual(op_img, img.clone(np.array([[0, 1, 0], [1, 1, 1]]), group='Threshold'))

示例#7

文件： testoperation.py 项目： mforbes/holoviews

 def test_image_transform(self):
     img = Image(np.random.rand(10, 10))
     op_img = transform(img, operator=lambda x: x*2)
     self.assertEqual(op_img, img.clone(img.data*2, group='Transform'))

示例#8

文件： testoperation.py 项目： mforbes/holoviews

 def test_operation_element(self):
     img = Image(np.random.rand(10, 10))
     op_img = operation(img, op=lambda x, k: x.clone(x.data*2))
     self.assertEqual(op_img, img.clone(img.data*2, group='Operation'))