Base URL: https://www.google.com/speech-api/v1/recognize
It accepts POST requests with voice file encoded in FLAC format, and query parameters for control.
client
The client's name you're connecting from. For spoofing purposes, let's use chromium
lang
Speech language, for example, ar-QA for Qatari Arabic, or en-US for U.S. English
| import urllib2 | |
| import re | |
| import sys | |
| from collections import defaultdict | |
| from random import random | |
| """ | |
| PLEASE DO NOT RUN THIS QUOTED CODE FOR THE SAKE OF daemonology's SERVER, IT IS | |
| NOT MY SERVER AND I FEEL BAD FOR ABUSING IT. JUST GET THE RESULTS OF THE | |
| CRAWL HERE: http://pastebin.com/raw.php?i=nqpsnTtW AND SAVE THEM TO "archive.txt" |
| # coding:utf-8 | |
| from kivy.app import App | |
| from kivy.uix.image import Image | |
| from kivy.clock import Clock | |
| from kivy.graphics.texture import Texture | |
| import cv2 | |
| class KivyCamera(Image): | |
| def __init__(self, capture, fps, **kwargs): |
| ### | |
| ### | |
| ### UPDATE: For Win 11, I recommend using this tool in place of this script: | |
| ### https://christitus.com/windows-tool/ | |
| ### https://github.com/ChrisTitusTech/winutil | |
| ### https://www.youtube.com/watch?v=6UQZ5oQg8XA | |
| ### iwr -useb https://christitus.com/win | iex | |
| ### | |
| ### |
| """ Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
| import numpy as np | |
| import cPickle as pickle | |
| import gym | |
| # hyperparameters | |
| H = 200 # number of hidden layer neurons | |
| batch_size = 10 # every how many episodes to do a param update? | |
| learning_rate = 1e-4 | |
| gamma = 0.99 # discount factor for reward |
| """ | |
| Example TensorFlow script for finetuning a VGG model on your own data. | |
| Uses tf.contrib.data module which is in release v1.2 | |
| Based on PyTorch example from Justin Johnson | |
| (https://gist.github.com/jcjohnson/6e41e8512c17eae5da50aebef3378a4c) | |
| Required packages: tensorflow (v1.2) | |
| Download the weights trained on ImageNet for VGG: | |
| ``` | |
| wget http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz |
When the shared files on Google Drive is downloaded, it is necessary to change the download method by the file size. The boundary of file size when the method is changed is about 40MB.
filename="### filename ###"
fileid="### file ID ###"
curl -L -o ${filename} "https://drive.google.com/uc?export=download&id=${fileid}"
| From 37163b5ad31d1a7dffa3d4fdf65ce9a357d12054 Mon Sep 17 00:00:00 2001 | |
| From: Amro <amroamroamro@gmail.com> | |
| Date: Fri, 18 Aug 2017 16:19:26 +0300 | |
| Subject: [PATCH] fixes for MinGW | |
| - add a define before including DShow header, | |
| to not use secure string replacements not defined by mingw | |
| - dont pass gcc flags to windres which doesnt understand them | |
| (another workaround is to set ENABLE_PRECOMPILED_HEADERS=OFF) |
This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).
Matrix multiplication is a mathematical operation that defines the product of
I recently built a small agent-based model using Python and wanted to visualize the model in action. But as much as Python is an ideal tool for scientific computation (numpy, scipy, matplotlib), it's not as good for dynamic visualization (pygame?).
You know what's a very mature and flexible tool for drawing graphics? The DOM! For simple graphics you can use HTML and CSS; for more complicated stuff you can use Canvas, SVG, or WebGL. There are countless frameworks, libraries, and tutorials to help you draw exactly what you need. In my case, this was the animation I wanted:
(Each row represents a "worker" in my model, and each rectangle represents a "task.")
