out = cv2.VideoWriter(output_file, codec, fps, (width,height)) while video.isOpened(): has_frame, image = video.read() if has_frame:
In the below code the daemon thread is only giving the output whereas the main thread is not. If the main thread works independently of the "x"(daemon) thread t
In the below code the daemon thread is only giving the output whereas the main thread is not. If the main thread works independently of the "x"(daemon) thread t
This program works on Unix and I'm trying to transition it to windows. It uses multiprocessing and I understand it's an issue with being forced to use spawning
This program works on Unix and I'm trying to transition it to windows. It uses multiprocessing and I understand it's an issue with being forced to use spawning
I have an app that download a books, where each book can contain a random pages. So I coded a logic using threading: while pagenum < (int(Book["total_pages"]
import threading import time start = time.perf_counter() def do_something(): print("Sleeping in 1 second") time.sleep(1) print("Done sleeping") t
Sorry if some of the suggestions are going to be weird. I used a translator, because this question was not answered on my language's stackoverflow. import threa
I found this non blocking code on stack overflow which is using threads to provide functionality of nonblocking setInterval function in JavaScript. But when I t
In python 2, is there any difference between multiprocessing.dummy.Pool and multiprocessing.pool.ThreadPool? The source code seems to imply they're the same.
Need your help and suggestion, I'm collecting data from networking devices and I'm storing it to dictionary "output_dict={}" at the same time I'm going to use t
I have made a tcp multithread server which is always listening to new connections and at the same time handling existing clients. If i have 2 clients, lets say
I am trying to implement multiprocessing or threading in my flask __init__.py to implement a sub-process that will handle some back-end work for me. However, I
I have a task that is IO bound running in a loop. This task does a lot of work and is often times hogging the loop (Is that the right word for it?). My plan is
I am applying Multi-threading to a python script to improve its performance. I don't understand why there is no improvement in the execution time. This is the c
I'm trying to make threaded flight software for a project in Python 3.4, in which I need threads to restart themselves in case an I/O error occurs during a sens