Source code for plugins.filters.image_interpolation

# Copyright 2014 Diamond Light Source Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""
.. module:: image_interpolation
   :platform: Unix
   :synopsis: A plugin to interpolate each frame

.. moduleauthor:: Aaron D. Parsons <scientificsoftware@diamond.ac.uk>

"""
import logging
import numpy as np
# TODO replace imresize with PIL Image
# from scipy.misc import imresize
from PIL import Image

from savu.plugins.filters.base_filter import BaseFilter
from savu.plugins.driver.cpu_plugin import CpuPlugin

from savu.plugins.utils import register_plugin, dawn_compatible


[docs]@register_plugin @dawn_compatible class ImageInterpolation(BaseFilter, CpuPlugin): def __init__(self): logging.debug("Starting ImageInterpolation") super(ImageInterpolation, self).__init__("ImageInterpolation")
[docs] def process_frames(self, data): data = data[0] return self.imresize(data, self.parameters['size'], self.parameters['interp'], mode=None)
[docs] def setup(self): # get all in and out datasets required by the plugin in_dataset, out_dataset = self.get_datasets() # get plugin specific instances of these datasets in_pData, out_pData = self.get_plugin_datasets() in_pData[0].plugin_data_setup(self.get_plugin_pattern(), self.get_max_frames()) inshape = in_dataset[0].get_shape() imshape = inshape[-2:] restshape = inshape[:-2] outshape = self.imresize(np.ones(imshape), self.parameters['size'], self.parameters['interp'], None).shape outshape = restshape + outshape out_dataset[0].create_dataset(patterns=in_dataset[0], axis_labels=in_dataset[0], shape=outshape) out_pData[0].plugin_data_setup(self.get_plugin_pattern(), self.get_max_frames())
[docs] def imresize(self, data, size, interp, mode): """ Provides an imresize implementation, as it is removed from scipy 1.3.0 Uses PIL.Image, following docs advice from https://docs.scipy.org/doc/scipy-1.2.1/reference/generated/scipy.misc.imresize.html """ return np.array(Image.fromarray(data, mode).resize(size, interp))
[docs] def get_max_frames(self): return 1
[docs] def get_plugin_pattern(self): return "PROJECTION"