import time
import pickle2reducer
import multiprocessing
multiprocessing.context._default_context.reducer = pickle2reducer.Pickle2Reducer(
)
from multiprocessing.managers import BaseManager
from queue import Queue
import numpy as np
import sys
import os
import wget
from tflite_runtime.interpreter import load_delegate
from tflite_runtime.interpreter import Interpreter
HOST = '127.0.0.1'
INPUT_PORT = 50002
INPUT_AUTH = b'inputpass'
OUTPUT_PORT = 50003
OUTPUT_AUTH = b'outpass'
input_queue = Queue()
output_queue = Queue()
class QueueManager(BaseManager):
pass
QueueManager.register('get_input_queue', callable=lambda: input_queue)
#!/usr/bin/env python3
import time
import pickle2reducer
import multiprocessing as mp
ROBOT_CMD_PORT = 6000
ROBOT_SECRET_KEY = b"Friggin Lazer!"
ctx = mp.get_context()
ctx.reducer = pickle2reducer.Pickle2Reducer()
from multiprocessing.connection import Client
run = 1
address = ('localhost', ROBOT_CMD_PORT)
while run:
try:
conn = Client(address, authkey=ROBOT_SECRET_KEY)
msgs = ['Does that shark have a friggin lazer?!', 'close']
for msg in msgs:
print("SENDING: %s" % msg)
conn.send(msg)
# can also send arbitrary objects:
# conn.send(['a', 2.5, None, int, sum])
conn.close()
run = 0
except ConnectionRefusedError:
time.sleep(1)
