-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy path__init__.py
More file actions
230 lines (199 loc) · 8 KB
/
Copy path__init__.py
File metadata and controls
230 lines (199 loc) · 8 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
# File Path Manager
# import os
# sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
import socket
import sys
import traceback
from adapt.intent import IntentBuilder
from mycroft import MycroftSkill, intent_handler
from mycroft.util.log import LOG
from .code.message.object_recognition_message import ObjectRecognitionMessage
from .code.misc.camera import Camera
from .code.misc.receiver import Receiver
from .code.misc.sender import Sender
from .default_config import DefaultConfig
# TODO: Make sure "." before module name is not missing
LOG.warning('Running Skill Object Recognizer On Python ' + sys.version)
try:
import picamera
import inflect
except ImportError:
# re-install yourself
from msm import MycroftSkillsManager
msm = MycroftSkillsManager()
msm.install("https://github.com/ITE-5th/skill-object-recognizer")
COUNT = 'count'
OBJECT = 'object'
class ObjectRecognizerSkill(MycroftSkill):
def __init__(self):
super(ObjectRecognizerSkill, self).__init__("ObjectRecognizerSkill")
LOG.warning('Running Skill Object Recognizer ')
self.socket = None
self.receiver = None
self.sender = None
self.port = None
self.host = None
self.camera = Camera(width=800, height=600)
self.p = inflect.engine()
self.connect()
def connect(self):
try:
self.port = DefaultConfig.OBJECT_RECOGNITION_PORT
self.host = self.settings.get("server_url", DefaultConfig.server_url)
LOG.info("Object Recognizer Skill started " + self.host + ":" + str(self.port))
self.socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.socket.settimeout(10)
self.socket.connect((self.host, self.port))
self.receiver = Receiver(self.socket, json=True)
self.sender = Sender(self.socket, json=True)
LOG.info('connected to server:' + self.host + ' : ' + str(self.port))
except Exception as e:
LOG.warning(str(e))
def ensure_send(self, msg):
retries = 3
while retries > 0:
try:
retries -= 1
self.sender.send(msg)
break
except Exception as e:
if retries <= 0:
raise ConnectionError()
self.connect()
LOG.warning(str(e))
return True
@intent_handler(IntentBuilder("ORIntent").require('Count').optionally('Object').optionally('Everything'))
def count(self, message):
try:
print(message.data)
everything = True if message.data.get("Everything", None) else False
object_name = ''
if not everything:
# Search for the object
object_name = message.data.get("Object", None).strip()
if object_name is not None:
utterance = message.data.get('utterance', '')
object_name = ''.join(utterance.split('count'))
else:
self.speak_dialog('GetObject')
object_name = self.get_phrase().strip()
image, _ = self.camera.take_image()
msg = ObjectRecognitionMessage(image=image, object_name=object_name)
self.ensure_send(msg)
response = self.receiver.receive()
LOG.info(response)
response = response.get('result')
# Speak Result
if everything:
if response in ['', '-1']:
self.speak_dialog("NoResultFound")
else:
result = self.handle_message(response)
self.speak_dialog("ResultAll", result)
else:
if response == '-1':
self.speak_dialog("CantSearch", {'object': object_name})
elif response == '':
self.speak_dialog("NotFound", {'object': object_name})
else:
LOG.info(object_name)
result = self.handle_message(response, object_name)
LOG.info(result)
if result['result']:
self.speak_dialog("ResultSimilar", result)
else:
self.speak_dialog("ResultSingle", result)
# if not response:
# self.speak_dialog("NoResultAll")
# else:
# result = self.handle_message(response, object_name)
# if result:
# if everything and result['result']:
# self.speak_dialog("ResultAll", result)
# elif result[COUNT]:
# self.speak_dialog("ResultSingle", result)
# else:
# self.speak_dialog("NoResult", result)
# else:
# self.speak_dialog("NoResultAll")
except LookupError as e:
LOG.info(str(e))
LOG.info(str(traceback.format_exc()))
self.speak_dialog('GetObjectError')
except ConnectionError as e:
self.speak_dialog('ConnectionError')
except Exception as e:
LOG.info('Something is wrong')
LOG.info(str(e))
LOG.info(str(traceback.format_exc()))
self.speak_dialog("UnknownError")
self.connect()
return True
def handle_message(self, response, desired_object=None):
"""
converts server response to meaningful sentence
:param desired_object: string represents object name to search
:param response: string of answers
:return: dictionary contains sentence in result
"""
if not response:
return None
# convert to dict
if desired_object is None:
return {
'result': response,
}
else:
response_dic = {item.split()[1]: int(item.split()[0]) for item in response.split(",")}
# search for single and plural
single = self.p.singular_noun(desired_object) or desired_object
plural = self.p.plural(single)
object_count = response_dic.get(single) or response_dic.get(plural)
print(object_count)
if object_count is None:
d_sum = sum([value for _, value in response_dic.items()])
print(d_sum)
else:
# same element found
d_sum = object_count
d_result = "{} {}".format(d_sum, self.p.plural(single, d_sum))
print('d_result')
print(d_result)
return {
'Dresult': d_result
}
d_result = "{} {}".format(d_sum, self.p.plural(single, d_sum))
print('d_result')
print(d_result)
print('response')
print(response)
return {
'Dresult': d_result,
'result': response
}
@staticmethod
def get_phrase(lang='en-US'):
import speech_recognition as sr
r = sr.Recognizer()
with sr.Microphone() as source:
print('recording...')
audio = r.listen(source)
print('fin recording...')
try:
text = r.recognize_google(audio, language=lang)
print("Google Speech Recognition thinks you said " + text)
if text is not None or text.strip() != "":
return text
raise LookupError()
except sr.UnknownValueError:
print("Google Speech Recognition could not understand audio")
raise LookupError()
except sr.RequestError as e:
print("Could not request results from Google Speech Recognition service; {0}".format(e))
raise LookupError()
def stop(self):
super(ObjectRecognizerSkill, self).shutdown()
LOG.info("Object Recognizer Skill CLOSED")
self.socket.close()
def create_skill():
return ObjectRecognizerSkill()