需求

1. a进程处理数据,a进程处理数据的速度不能被其他因素影响
2. b进程再获取数据,处理逻辑
3. b进程中处理逻辑的时候用到time.sleep 延迟 或者 b进程逻辑中会影响代码速度的运行
4. b进程就会阻塞a进程处理数据的速度

代码demo

import time
from multiprocessing import Process, JoinableQueue

import os
obj = {
    "a":1
}
def 识别(p):
    a = 0
    while True:
        try:
            obj['a'] = obj['a'] +1
            p.put_nowait(obj)
        except Exception as e:
            # print("队列已满, %d" % os.getpid(), obj)
            os.getpid()

def 刷图(p):
    while True:
        try:
            data = p.get_nowait()  # 当队列内无数据时，不会阻塞，会报错
            print(data)
            time.sleep(5)
        except Exception as e:
            print("队列已空", e)
if __name__ == "__main__":
    p = JoinableQueue(2)
    time1 = time.time()
    #存放所有进程
    processlist = [];
    # 创建进程识别
    p1 = Process(target=识别,args=(p,))
    # 创建进程刷图
    p2 = Process(target=刷图,args=(p,))
    # 开启进程
    p1.start()
    print(1212121)
    p2.start()
    p1.join()
    p2.join()
    # processlist.append(p)
    time2 = (time.time() - time1)*1000
    print('主进程结束',time2)
    # ceshi()