from esiaf_ros.msg import RecordingTimeStamps, AugmentedAudio, EmotionInfo
# config
import yaml
import sys
def msg_from_string(msg, data):
msg.deserialize(data)
nodename = 'esiaf_emotion_recognizer'
# initialize rosnode
rospy.init_node(nodename)
pyesiaf.roscpp_init(nodename, [])
# read config
rospy.loginfo('Loading config...')
argv = sys.argv
if len(argv) < 2:
rospy.logerr('Need path to configfile as first parameter!')
exit('1')
path_to_config = argv[1]
data = yaml.safe_load(open(path_to_config))
rospy.loginfo('Creating emotion recognizer instance...')
wrapper = Emotion_rec(data)
emotion_publisher = rospy.Publisher(nodename + '/' + 'emotion',
esiaf_format.rate = pyesiaf.Rate.RATE_96000
# bitrate
esiaf_format.bitrate = pyesiaf.Bitrate.BIT_FLOAT_64
# channel
esiaf_format.channels = sf_info.channels
# endian
esiaf_format.endian = pyesiaf.Endian.BigEndian if sf_info.endian == 'BIG' else pyesiaf.Endian.LittleEndian
return esiaf_format
# initialize rosnode
rospy.init_node('esiaf_wav_player')
pyesiaf.roscpp_init('esiaf_wav_player', [])
# read config
rospy.loginfo('Loading config...')
argv = sys.argv
if len(argv) < 2:
rospy.logerr('Need path to configfile as first parameter!')
exit('1')
path_to_config = argv[1]
data = yaml.safe_load(open(path_to_config))
rospy.loginfo('Acquiring wav files...')
files = []
if data['file'] == "*":