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72 lines
3.0 KiB
Python
72 lines
3.0 KiB
Python
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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from utils.config import ArgsParser, load_config, override_config
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from utils.logging import get_logger
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from engine import style_samplers, corpus_generators, text_drawers, predictors, writers
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class ImageSynthesiser(object):
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def __init__(self):
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self.FLAGS = ArgsParser().parse_args()
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self.config = load_config(self.FLAGS.config)
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self.config = override_config(self.config, options=self.FLAGS.override)
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self.output_dir = self.config["Global"]["output_dir"]
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if not os.path.exists(self.output_dir):
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os.mkdir(self.output_dir)
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self.logger = get_logger(
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log_file='{}/predict.log'.format(self.output_dir))
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self.text_drawer = text_drawers.StdTextDrawer(self.config)
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predictor_method = self.config["Predictor"]["method"]
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assert predictor_method is not None
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self.predictor = getattr(predictors, predictor_method)(self.config)
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def synth_image(self, corpus, style_input, language="en"):
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corpus, text_input = self.text_drawer.draw_text(corpus, language)
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synth_result = self.predictor.predict(style_input, text_input)
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return synth_result
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class DatasetSynthesiser(ImageSynthesiser):
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def __init__(self):
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super(DatasetSynthesiser, self).__init__()
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self.tag = self.FLAGS.tag
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self.output_num = self.config["Global"]["output_num"]
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corpus_generator_method = self.config["CorpusGenerator"]["method"]
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self.corpus_generator = getattr(corpus_generators,
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corpus_generator_method)(self.config)
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style_sampler_method = self.config["StyleSampler"]["method"]
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assert style_sampler_method is not None
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self.style_sampler = style_samplers.DatasetSampler(self.config)
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self.writer = writers.SimpleWriter(self.config, self.tag)
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def synth_dataset(self):
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for i in range(self.output_num):
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style_data = self.style_sampler.sample()
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style_input = style_data["image"]
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corpus_language, text_input_label = self.corpus_generator.generate(
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)
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text_input_label, text_input = self.text_drawer.draw_text(
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text_input_label, corpus_language)
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synth_result = self.predictor.predict(style_input, text_input)
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fake_fusion = synth_result["fake_fusion"]
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self.writer.save_image(fake_fusion, text_input_label)
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self.writer.save_label()
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self.writer.merge_label()
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