wfng92

import requests
import shutil
import uuid


def generate_audio_filename():
    return f"{uuid.uuid4()}.wav"


def download_file(url):

gpeal

context.registerReceiverInScope(scope, WifiManager.WIFI_STATE_CHANGED_ACTION) { intent ->
    val state = intent.getIntExtra(WifiManager.EXTRA_WIFI_STATE, WifiManager.WIFI_STATE_DISABLED)
    // Use wifi state here
}

/**
 * Register a broadcast receiver in the given coroutine scope for any of the specified actions
 * and call the callback when it is invoked.
 */
fun Context.registerReceiverInScope(

tomoaki0705

はじめに

• エヌビディアの手島でございます
• この記事はOpenCVの画像処理をGPU(CUDA)で高速化する - Qiita(以降「元記事」)を読んで、最後に書かれているリクエストを検証したものです。

OpenCVでの処理(リサイズなど)を、簡単にマルチコア化する方法をどなたかご存知でしたら教えて頂けないでしょうか? TBBを使ってスレッドを作る方法は色々見つかったのですが、単にcv::resize()をマルチコア動作で高速化させたいです。

TL;DR

• Python バインディングが遅い
• OpenCV の resize はずっと昔からマルチコア対応している

takidog

import cv2
import subprocess as sp
if __name__ == "__main__":
    rtsp_server = 'rtsp://example.org:554/...' # push server (output server)
    
    #pull rtsp data, or your cv cap.  (input server)
    cap = cv2.VideoCapture(
        'rtsp://example.org:554/pull from me ')
    
    

andystanton

What?

This is a Python 3 HTTP/1.1 server bound to 127.0.0.1 on port 8000 using only the standard library.

Why?

I wanted a simple Python 3 web server using HTTP 1.1 that can perform simple HTTP operations and depends only on Python and standard library modules. I couldn't find an example so I made one.

The example demonstrates how to accept different methods, parse the url and query strings, read data sent to the server, parse and return json, return responses with different status codes and headers, handle graceful termination, and override the default error logging.

tomo-makes

Overview

• Lots of jupyter notebooks for machine learning tutorials are available in English
• Draft machine translations of markdown cells help self motivated learners, who are non-native English speakers, to reach more resources

Usage

generate translated notebook

$ ./jupyter_translate.py en ja source.ipynb translated.ipynb

loganwilliams

license: mit

1st1

import asyncio
import random
import time


async def worker(name, queue):
    while True:
        # Get a "work item" out of the queue.
        sleep_for = await queue.get()

coin8086

Use Proxy for Git/GitHub

Generally, the Git proxy configuration depends on the Git Server Protocol you use. And there're two common protocols: SSH and HTTP/HTTPS. Both require a proxy setup already. In the following, I assume a SOCKS5 proxy set up on localhost:1080. But it can also be a HTTP proxy. I'll talk about how to set up a SOCKS5 proxy later.

SSH Protocol

When you do git clone ssh://[user@]server/project.git or git clone [user@]server:project.git, you're using the SSH protocol. You need to configurate your SSH client to use a proxy. Add the following to your SSH config file, say ~/.ssh/config:

ProxyCommand nc -x localhost:1080 %h %p

bay1

# -*- coding:utf-8 -*-
#!/usr/bin/python3

import os
import shutil
import time
import pymysql
import requests
from HTMLParser import HTMLParser
from re import sub