Rio Weber riodw

Check out this: Change Streams

$ mongod --version

	# keys.py
	# Code by Daniel Kukiela (https://twitter.com/daniel_kukiela)

	import ctypes
	from threading import Thread
	from time import time, sleep
	from queue import Queue


	# main keys class

	# Done by Frannecklp

	import cv2
	import numpy as np
	import win32gui, win32ui, win32con, win32api

	def grab_screen(region=None):

	hwin = win32gui.GetDesktopWindow()

	# vehicle_detector.py

	# https://pythonprogramming.net/introduction-use-tensorflow-object-detection-api-tutorial/
	# # Object Detection Demo
	# License: Apache License 2.0 (https://github.com/tensorflow/models/blob/master/LICENSE)
	# source: https://github.com/tensorflow/models

	# https://gpuopen.com/rocm-tensorflow-1-8-release/
	# py -m pip install Cython contextlib2 pillow lxml jupyter matplotlib
	# http://www.mingw.org/wiki/Getting_Started

	/*
	Apple Colors
	https://developer.apple.com/design/human-interface-guidelines/ios/visual-design/color/
	*/
	/* Blue */
	.text-blue {
	color: rgb(10, 132, 255);
	}
	.bg-blue {
	background-color: rgb(10, 132, 255);

	var keyPairs = [];
	var params = window.location.search.substring(1).split('&');
	for (var i = params.length - 1; i >= 0; i--) {
	keyPairs.push(params[i].split('='));
	};

	/* MongoDB-UserCollection-Data-Change_Send-Change-SocketIO.js */
	'use strict'

	module.exports = function (
	app,
	io,
	User // Collection Name
	) {
	// SET WATCH ON COLLECTION
	const changeStream = User.watch();

	"""Softmax."""

	scores = [3.0, 1.0, 0.2]

	import numpy as np

	def softmax(x):
	"""Compute softmax values for each sets of scores in x."""
	pass # TODO: Compute and return softmax(x)
	return np.exp(x) / np.sum(np.exp(x), axis=0)