mirror of
https://github.com/google/mozc-devices.git
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0a438843ee
LED was equipped in the chassis. This patch turns it on. SlowLED changes the brightness gradually. wiringpi is used for it to leverage the hardware PWA equipped by Raspberry Pi.
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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