def test_errors(self):
with self.assertRaises(TypeError):
F.to_tensor(1)
with self.assertRaises(ValueError):
fake_img = Image.fromarray((np.random.rand(28, 28, 3) * 255).astype(
'uint8'))
F.to_tensor(fake_img, data_format=1)
with self.assertRaises(ValueError):
fake_img = paddle.rand((3, 100, 100))
F.pad(fake_img, 1, padding_mode='symmetric')
with self.assertRaises(TypeError):
fake_img = paddle.rand((3, 100, 100))
F.resize(fake_img, {1: 1})
with self.assertRaises(TypeError):
fake_img = Image.fromarray((np.random.rand(28, 28, 3) * 255).astype(
'uint8'))
F.resize(fake_img, '1')
with self.assertRaises(TypeError):
F.resize(1, 1)
with self.assertRaises(TypeError):
F.pad(1, 1)
with self.assertRaises(TypeError):
F.crop(1, 1, 1, 1, 1)
with self.assertRaises(TypeError):
F.hflip(1)
with self.assertRaises(TypeError):
F.vflip(1)
with self.assertRaises(TypeError):
F.adjust_brightness(1, 0.1)
with self.assertRaises(TypeError):
F.adjust_contrast(1, 0.1)
with self.assertRaises(TypeError):
F.adjust_hue(1, 0.1)
with self.assertRaises(TypeError):
F.adjust_saturation(1, 0.1)
with self.assertRaises(TypeError):
F.rotate(1, 0.1)
with self.assertRaises(TypeError):
F.to_grayscale(1)
with self.assertRaises(ValueError):
set_image_backend(1)
with self.assertRaises(ValueError):
image_load('tmp.jpg', backend=1)
def _apply_image(self, img):
if self.param is None:
self.param = self._get_param(img)
i, j, h, w = self.param
cropped_img = F.crop(img, i, j, h, w)
return F.resize(cropped_img, self.size, self.interpolation)
def _apply_mask(self, mask):
_, height, width = F.to_tensor(mask).shape
ret = F.pad(mask, self.padding)
return F.crop(ret,
top=abs(self.y_offset) if self.y_offset >= 0 else 0,
left=0 if self.x_offset >= 0 else abs(self.x_offset),
height=height,
width=width)
def _apply_image(self, image):
_, height, width = F.to_tensor(image).shape
ret = F.pad(image, self.padding)
return F.crop(ret,
top=abs(self.y_offset) if self.y_offset >= 0 else 0,
left=0 if self.x_offset >= 0 else abs(self.x_offset),
height=height,
width=width)
def _apply_image(self, img):
i, j, h, w = self.params['crop_prams']
return F.crop(img, i, j, h, w)
def test_errors(self):
with self.assertRaises(TypeError):
F.to_tensor(1)
with self.assertRaises(ValueError):
fake_img = Image.fromarray(
(np.random.rand(28, 28, 3) * 255).astype('uint8'))
F.to_tensor(fake_img, data_format=1)
with self.assertRaises(ValueError):
fake_img = paddle.rand((3, 100, 100))
F.pad(fake_img, 1, padding_mode='symmetric')
with self.assertRaises(TypeError):
fake_img = paddle.rand((3, 100, 100))
F.resize(fake_img, {1: 1})
with self.assertRaises(TypeError):
fake_img = Image.fromarray(
(np.random.rand(28, 28, 3) * 255).astype('uint8'))
F.resize(fake_img, '1')
with self.assertRaises(TypeError):
F.resize(1, 1)
with self.assertRaises(TypeError):
F.pad(1, 1)
with self.assertRaises(TypeError):
F.crop(1, 1, 1, 1, 1)
with self.assertRaises(TypeError):
F.hflip(1)
with self.assertRaises(TypeError):
F.vflip(1)
with self.assertRaises(TypeError):
F.adjust_brightness(1, 0.1)
with self.assertRaises(TypeError):
F.adjust_contrast(1, 0.1)
with self.assertRaises(TypeError):
F.adjust_hue(1, 0.1)
with self.assertRaises(TypeError):
F.adjust_saturation(1, 0.1)
with self.assertRaises(TypeError):
F.affine('45')
with self.assertRaises(TypeError):
F.affine(45, translate=0.3)
with self.assertRaises(TypeError):
F.affine(45, translate=[0.2, 0.2, 0.3])
with self.assertRaises(TypeError):
F.affine(45, translate=[0.2, 0.2], scale=-0.5)
with self.assertRaises(TypeError):
F.affine(45, translate=[0.2, 0.2], scale=0.5, shear=10)
with self.assertRaises(TypeError):
F.affine(45, translate=[0.2, 0.2], scale=0.5, shear=[-10, 0, 10])
with self.assertRaises(TypeError):
F.affine(45,
translate=[0.2, 0.2],
scale=0.5,
shear=[-10, 10],
interpolation=2)
with self.assertRaises(TypeError):
F.affine(45,
translate=[0.2, 0.2],
scale=0.5,
shear=[-10, 10],
center=0)
with self.assertRaises(TypeError):
F.rotate(1, 0.1)
with self.assertRaises(TypeError):
F.to_grayscale(1)
with self.assertRaises(ValueError):
set_image_backend(1)
with self.assertRaises(ValueError):
image_load('tmp.jpg', backend=1)
def __call__(self, img):
return F.crop(img, self.x1, self.y1, self.x2 - self.x1,
self.y2 - self.y1)
