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# Copyright (C) 2018 Artsiom Sanakoyeu and Dmytro Kotovenko
#
# This file is part of Adaptive Style Transfer
#
# Adaptive Style Transfer is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Adaptive Style Transfer is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
import pandas as pd
import h5py
import numpy as np
ARTISTS = ['claude-monet',
'paul-cezanne',
'el-greco',
'paul-gauguin',
'samuel-peploe',
'vincent-van-gogh',
'edvard-munch',
'pablo-picasso',
'berthe-morisot',
'ernst-ludwig-kirchner',
'jackson-pollock',
'wassily-kandinsky',
'nicholas-roerich']
def get_artist_labels_wikiart(artists=ARTISTS):
"""
Get mapping of artist name to class label
"""
split_df = pd.read_hdf('evaluation_data/split.hdf5')
labels = dict()
for artist_id in artists:
artist_id_in_split = artist_id
print artist_id
cur_df = split_df[split_df.index.str.startswith(artist_id_in_split)]
assert len(cur_df)
if not np.all(cur_df.index.str.startswith(artist_id_in_split + '_')):
print cur_df[~cur_df.index.str.startswith(artist_id_in_split + '_')]
assert False
print '===='
labels[artist_id] = cur_df['label'][0]
return labels
if __name__ == '__main__':
print get_artist_labels_wikiart(ARTISTS)
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