57 lines
1.7 KiB
Python
57 lines
1.7 KiB
Python
#!/usr/bin/env python3
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# Copyright 2019 Mycroft AI Inc.
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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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from prettyparse import Usage
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from precise_lite.model import create_model, ModelParams
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from precise_lite.scripts.train import BaseScript
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class ConvertH5(BaseScript):
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usage = Usage('''
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Convert a model to h5 format
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:model str
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Keras model file (.net) to load from
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:-s --sensitivity float 0.2
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Weighted loss bias. Higher values decrease increase positives
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:-nv --no-validation
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Disable accuracy and validation calculation
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to improve speed during training
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:-em --extra-metrics
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Add extra metrics during training
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...
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''') | BaseScript.usage
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def __init__(self, args):
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super().__init__(args)
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params = ModelParams(
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skip_acc=self.args.no_validation, extra_metrics=self.args.extra_metrics,
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loss_bias=1.0 - self.args.sensitivity
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)
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self.model = create_model(self.args.model, params)
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def run(self):
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print('Converting model to h5')
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self.model.save(self.args.model + '.h5') # Save with '.h5' file extension to force format
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main = ConvertH5.run_main
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if __name__ == '__main__':
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main() |