mirror of
https://github.com/google/mozc-devices.git
synced 2025-11-08 16:53:28 +03:00
85 lines
2.4 KiB
Python
Executable File
85 lines
2.4 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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#
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# Copyright 2018 Google LLC
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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 __future__ import print_function
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from nazoru.led import LED_BLUE, LED_RED, LED_CHASSIS
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import time
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LED_RED.blink(1)
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LED_CHASSIS.on()
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time.sleep(1)
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LED_CHASSIS.off()
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import argparse
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import os
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from nazoru import get_default_graph_path
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from nazoru.core import create_keyboard_recorder, Bluetooth, NazoruPredictor
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def main():
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FLAGS = None
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parser = argparse.ArgumentParser()
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parser.add_argument('-g', '--graph',
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type=str,
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default=get_default_graph_path(),
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help='Path to a trained model which is generated by ' +
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'nazoru-training.')
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parser.add_argument('-v', '--verbose', action='store_true')
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FLAGS, unparsed = parser.parse_known_args()
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LED_RED.blink(0.3)
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bt_connection = Bluetooth()
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try:
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recorder = create_keyboard_recorder(verbose=FLAGS.verbose)
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except IOError as e:
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LED_RED.off()
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LED_BLUE.off()
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raise e
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predictor = NazoruPredictor(FLAGS.graph)
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LED_RED.off()
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LED_BLUE.blink(1)
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LED_CHASSIS.set_brightness(5)
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print('Ready. Please input your scrrible.')
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while True:
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data, command = recorder.record()
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if command is not None:
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print('command: %s' % command)
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bt_connection.command(command)
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continue
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if data is None:
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print('done.')
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break
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LED_CHASSIS.set_brightness(100)
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LED_RED.on()
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result = predictor.predict_top_n(data, 5)
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LED_RED.off()
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LED_CHASSIS.set_brightness(5)
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print('\n=== RESULTS ===')
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for item in result:
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print(u'%s (%s): %.5f' % (item[0], item[1], item[2]))
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print('===============\n')
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most_likely_result = result[0]
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print(u'%s (%s)' % (most_likely_result[0], most_likely_result[1]))
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bt_connection.send(most_likely_result[1])
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if __name__ == '__main__':
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main()
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