Loading deepchem/trans/transformers.py +18 −17 Original line number Diff line number Diff line Loading @@ -1189,22 +1189,20 @@ class DataTransforms(): def __init__(self, Image): self.Image = Image def scale(self, h, w): """ Scales the image Parameters: h - height of the images w - width of the images """ def scale(self, h, w): return scipy.misc.imresize(self.Image, (h, w)) def flip(self, direction="lr"): """ Flips the image Parameters: direction - "lr" denotes left-right fliplr "ud" denotes up-down flip """ def flip(self, direction="lr"): if direction == "lr": return np.fliplr(self.Image) elif direction == "ud": Loading @@ -1214,13 +1212,16 @@ class DataTransforms(): "Invalid flip command : Enter either lr (for left to right flip) or ud (for up to down flip)" ) def rotate(self, angle=0): """ Rotates the image Parameters: angle (default = 0 i.e no rotation) - Denotes angle by which the image should be rotated (in Degrees) """ def rotate(self, angle=0): return scipy.ndimage.rotate(self.Image, angle) def gaussian_blur(self, sigma=0.2): """ Adds gaussian noise to the image Parameters: sigma - std dev. of the gaussian distribution """ return scipy.ndimage.gaussian_filter(self.Image, sigma) Loading
deepchem/trans/transformers.py +18 −17 Original line number Diff line number Diff line Loading @@ -1189,22 +1189,20 @@ class DataTransforms(): def __init__(self, Image): self.Image = Image def scale(self, h, w): """ Scales the image Parameters: h - height of the images w - width of the images """ def scale(self, h, w): return scipy.misc.imresize(self.Image, (h, w)) def flip(self, direction="lr"): """ Flips the image Parameters: direction - "lr" denotes left-right fliplr "ud" denotes up-down flip """ def flip(self, direction="lr"): if direction == "lr": return np.fliplr(self.Image) elif direction == "ud": Loading @@ -1214,13 +1212,16 @@ class DataTransforms(): "Invalid flip command : Enter either lr (for left to right flip) or ud (for up to down flip)" ) def rotate(self, angle=0): """ Rotates the image Parameters: angle (default = 0 i.e no rotation) - Denotes angle by which the image should be rotated (in Degrees) """ def rotate(self, angle=0): return scipy.ndimage.rotate(self.Image, angle) def gaussian_blur(self, sigma=0.2): """ Adds gaussian noise to the image Parameters: sigma - std dev. of the gaussian distribution """ return scipy.ndimage.gaussian_filter(self.Image, sigma)
