multiprocessing

问题 I'm trying to create an object but as a new process. I'm following this guide and came up with this code. import multiprocessing as mp import time class My_class(mp.Process): def run(self): print self.name, "created" time.sleep(10) print self.name, "exiting" self.x() def x(self): print self.name, "X" if __name__ == '__main__': print 'main started' p1=My_class() p2=My_class() p1.start() p2.start() print 'main exited' But here I'm unable to pass arguments to the object. I searched but found

问题 I am new to multiprocessing in python. I want to extract features from each frame of hour long video files. Processing each frame takes on the order of 30 ms. I thought multiprocessing was a good idea because each frame is processed independentle of all other frames. I want to store the results of the feature extraction in a custom class. I read a few examples and ended up using multiprocessing and Queues as suggested here. The result was disappointing though, now each frames takes about 1000

问题 I am new to multiprocessing in python. I want to extract features from each frame of hour long video files. Processing each frame takes on the order of 30 ms. I thought multiprocessing was a good idea because each frame is processed independentle of all other frames. I want to store the results of the feature extraction in a custom class. I read a few examples and ended up using multiprocessing and Queues as suggested here. The result was disappointing though, now each frames takes about 1000

问题 I am new to multiprocessing in python. I want to extract features from each frame of hour long video files. Processing each frame takes on the order of 30 ms. I thought multiprocessing was a good idea because each frame is processed independentle of all other frames. I want to store the results of the feature extraction in a custom class. I read a few examples and ended up using multiprocessing and Queues as suggested here. The result was disappointing though, now each frames takes about 1000

问题 I am designing a Python multiprocessing code to work in a queue that might be updated along the processing. The following code sometimes works, or get stuck, or rises an Empty error. import multiprocessing as mp def worker(working_queue, output_queue): while True: if working_queue.empty() is True: break else: picked = working_queue.get_nowait() if picked % 2 == 0: output_queue.put(picked) else: working_queue.put(picked+1) return if __name__ == '__main__': manager = mp.Manager() static_input =

问题 I am designing a Python multiprocessing code to work in a queue that might be updated along the processing. The following code sometimes works, or get stuck, or rises an Empty error. import multiprocessing as mp def worker(working_queue, output_queue): while True: if working_queue.empty() is True: break else: picked = working_queue.get_nowait() if picked % 2 == 0: output_queue.put(picked) else: working_queue.put(picked+1) return if __name__ == '__main__': manager = mp.Manager() static_input =

问题 I am trying to connect to multiple channels concurrently and receive messages from a push API through the python websocket library. Considering the following code below, how would you connect to multiple channels? this code was obtained and slightly modified from here: https://pypi.python.org/pypi/websocket-client What confuses me is the second last line: ws.on_open = on_open. on_open is defined as a function above and takes 1 argument but no argument is passed when calling the function, I

问题 I am trying to connect to multiple channels concurrently and receive messages from a push API through the python websocket library. Considering the following code below, how would you connect to multiple channels? this code was obtained and slightly modified from here: https://pypi.python.org/pypi/websocket-client What confuses me is the second last line: ws.on_open = on_open. on_open is defined as a function above and takes 1 argument but no argument is passed when calling the function, I

问题 I'm having some issues getting the Pipe.send to work in this code. What I would ultimately like to do is send and receive messages to and from the foreign process while its running in a fork. This is eventually going to be integrated into a pexpect loop for talking to interpreter processes. from multiprocessing import Process, Pipe from pexpect import spawn class CockProc(Process): def start(self): self.process = spawn('coqtop', ['-emacs-U']) def run(self, conn): while True: if not conn.poll(

问题 I'm trying to use multiprocessing and matplotlib together. I'm creating a standard Pool , adding work with apply_async and updating the GUI with apply_async 's callback function, which runs on the Pool's parent process (I verified this with os.getpid() ). Example : from pylab import * from numpy import * from numpy.random import random from multiprocessing import Pool # Output image global out_all out_all = zeros((256, 256)) # Only does something to in_image, doesn't access anything else def