def __init__(self, args):
os.environ['SDL_AUDIODRIVER'] = 'dsp'
# audio args
self.number_of_channels = args.number_of_channels
self.frames_per_second = args.frames_per_second
self.frames_per_chunk = args.frames_per_chunk
# network args
self.payload_size = args.payload_size
self.in_port = args.in_port
self.out_port = args.out_port
self.address = args.address
self.n = args.buffer_size
self.wavelet = args.wavelet_name
self.level = args.levels
# using temporal decorrelate and stereo decorrelate
self.temp_dec = temp_dec(self.wavelet, self.level)
# quantization step used for compressing
self.quantization_step = 1
self.buffer = PriorityQueue(maxsize=self.n * 2)
# mutex for waiting until the buffer has a large enough number
# of chunks before playing the sound
self.lock = threading.Lock()
self.stats_lock = threading.Lock()
# immediately lock the mutex
self.lock.acquire()
self.last_played = -1
self.last_client_time = -1
self.last_server_time = -1
self.last_stats_time = -1
self.client_cpu_time = 0
self.server_cpu_time = 0
self.compression_pct = 0
self.compression_count = 0
self.chunks_received = 0
self.bytes_received = 0
self.total_elapsed = 0
self.total_elapsed_client = 0
self.total_client_pct = 0
self.total_elapsed_server = 0
self.total_server_pct = 0
self.total_throughput = 0
self.total_chunks_received = 0
self.total_avg_compression = 0
self.total_times = 0
show_args(args)
def __init__(self, args):
# audio args
self.number_of_channels = args.number_of_channels
self.frames_per_second = args.frames_per_second
self.frames_per_chunk = args.frames_per_chunk
# network args
self.payload_size = args.payload_size
self.in_port = args.in_port
self.out_port = args.out_port
self.address = args.address
show_args(args)
def __init__(self, args):
# Get args
self.frame_rate = args.frame_rate
self.telegram_alert = args.telegram_alert
self.chunk_seconds = args.chunk_seconds
self.display_video = args.display_video
self.posenet_model_path = args.posenet_model_path
self.video_name = "temp/state"
show_args(args)
# Load human state classifier model
self.model = pickle.load(open(args.fall_model_path, 'rb'))
with open(args.path_model_header) as f:
self.model_header = f.readline().split(",")
# Threads to send Telegram alerts
if self.telegram_alert:
self.threads_pool = ThreadPoolExecutor(max_workers=1)
def __init__(self, args):
# audio args
self.number_of_channels = args.number_of_channels
self.frames_per_second = args.frames_per_second
self.frames_per_chunk = args.frames_per_chunk
# network args
self.payload_size = args.payload_size
self.in_port = args.in_port
self.out_port = args.out_port
self.address = args.address
self.n = args.buffer_size
self.buffer = PriorityQueue(maxsize=self.n * 2)
# mutex for waiting until the buffer has a large enough number
# of chunks before playing the sound
self.lock = threading.Lock()
# immediately lock the mutex
self.lock.acquire()
self.last_played = -1
show_args(args)