# 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
#
# https://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.

!pip install --quiet lucid==0.0.5

import numpy as np
import scipy.ndimage as nd
import tensorflow as tf

import lucid.modelzoo.vision_models as models
from lucid.misc.io import show
import lucid.optvis.objectives as objectives
import lucid.optvis.param as param
import lucid.optvis.render as render
import lucid.optvis.transform as transform

# Let's import a model from the Lucid modelzoo!

model = models.InceptionV1()
model.load_graphdef()

param_f = lambda: param.image(128, batch=4)
obj = objectives.channel("mixed5a_pre_relu", 9) - 1e2*objectives.diversity("mixed5a")
_ = render.render_vis(model, obj, param_f)