def preprocess(self, inp):
"""
Default preprocessing method for is to convert the picture to black and white and resize to be 48x48
"""
im = preprocessing_utils.decode_base64_to_image(inp)
im = im.convert('RGB')
im = preprocessing_utils.resize_and_crop(im, (self.image_width, self.image_height))
return np.array(im)
def preprocess(self, inp):
"""
Default preprocessing method for is to convert the picture to black and white and resize to be 48x48
"""
im = preprocessing_utils.decode_base64_to_image(inp)
with warnings.catch_warnings():
warnings.simplefilter("ignore")
im = im.convert(self.image_mode)
im = preprocessing_utils.resize_and_crop(im, (self.image_width, self.image_height))
return np.array(im)
def preprocess(self, inp):
"""
Default preprocessing method for the SketchPad is to convert the sketch to black and white and resize 28x28
"""
im = preprocessing_utils.decode_base64_to_image(inp)
im = im.convert('L')
if self.invert_colors:
im = ImageOps.invert(im)
im = preprocessing_utils.resize_and_crop(im, (self.image_width, self.image_height))
if self.flatten:
array = np.array(im).flatten().reshape(1, self.image_width * self.image_height)
else:
array = np.array(im).flatten().reshape(1, self.image_width, self.image_height)
array = array * self.scale + self.shift
array = array.astype(self.dtype)
return array
def preprocess(self, inp):
"""
Default preprocessing method for is to convert the picture to black and white and resize to be 48x48
"""
im = preprocessing_utils.decode_base64_to_image(inp)
with warnings.catch_warnings():
warnings.simplefilter("ignore")
im = im.convert(self.image_mode)
im = preprocessing_utils.resize_and_crop(im, (self.image_width, self.image_height))
im = np.array(im).flatten()
im = im * self.scale + self.shift
if self.num_channels is None:
array = im.reshape(1, self.image_width, self.image_height)
else:
array = im.reshape(1, self.image_width, self.image_height, self.num_channels)
return array
