def _pre_process_image(self, img: PIL):
img = img.resize((self.run_parameters.get('input_shape')[0],
self.run_parameters.get('input_shape')[1]),
Image.ANTIALIAS)
if self.run_parameters.get('greyscale'):
img = img.convert.convert('LA')
else:
img = img.convert('RGB')
img = np.array(img)
img = img / 255
# casts list to tuple
img_shape = (1, ) + tuple(self.run_parameters.get('input_shape'))
img = img.reshape(img_shape)
return img
