wermarter

import cv2, time, sys
from random import *
import numpy as np
font = cv2.FONT_HERSHEY_SIMPLEX
xi, yi = 0, 0
def func(event, x, y, _, __):
	global cap, img, xi, yi
	xi, yi = x, y
	if event == cv2.EVENT_LBUTTONUP:
		___, img = cap.read()

wermarter

import cv2, time, sys
from random import *
import numpy as np
cap = cv2.VideoCapture(0)
while 1:
	_, frame = cap.read()
	frame = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
	lower_clr = np.array([0,0,0])
	upper_clr = np.array([176,100,100])
	mask = cv2.inRange(frame, lower_clr, upper_clr)

wermarter

import cv2, time, sys
from random import *
import numpy as np
def trans_effect(named, img1, img2, speed=100):
	h1, w1, c1 = img1.shape
	h2, w2, c2 = img2.shape
	h, w, c = min(h1, h2), min(w1, w2), min(c1, c2)
	img1 = img1[:h, :w, :c]
	img2 = img2[:h, :w, :c]
	for i in range(1, 10):

wermarter

import cv2, time, sys
from random import *
import numpy as np

font = cv2.FONT_HERSHEY_SIMPLEX
cap = cv2.VideoCapture(0)
width, height = cap.get(3), cap.get(4)
print(width, height)
ck = 0
start = time.time()

wermarter

#include <windows.h>
#include <string>
#include <iostream>
using namespace std;
int main() {
    string url; cin >> url;
    url = "http://www.mcgov.co.uk/riddles/" + url + ".html";
    ShellExecute(NULL, "open", url.c_str(), "", ".", SW_SHOWNORMAL);
    return 0;
}

wermarter

import quandl, pickle, math, datetime
import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn import preprocessing, cross_validation
from sklearn.externals import joblib
import matplotlib.pyplot as plt
from matplotlib import style
one_day = 86400
one_week = one_day*7

wermarter

from lxml import html
import requests, sqlite3, re

def Process(url):
	id = int(re.findall('/([0-9]+)/.*?$', url)[0])
	if (id in id_fetched):
		print('Skiping ', id)
		return
	page = requests.get(url + '/userrecs')
	tree = html.fromstring(page.content)

wermarter

import os, shutil, stat, sys, win32api, time, datetime
from distutils.dir_util import copy_tree
curr_dir = sys.argv[0]
args = sys.argv[1:]
argc = len(args)
def get_IVG(location):
	try:
		return open(os.path.join(location, 'System Volume Information', 'IndexerVolumeGuid')).readlines()[0]
	except:
		return 'None_Info'

wermarter

import cv2
import numpy as np
import matplotlib.pyplot as plt
img = cv2.imread('me.png', 0)
img = cv2.resize(img, (0, 0), fx=0.5, fy=0.5)
# img = cv2.GaussianBlur(img, (5, 5), 0)
img = cv2.Laplacian(img, cv2.CV_64F)
img = np.uint8(np.absolute(img))
canny = cv2.Canny(img, 200, 200)# Dissemination, 

wermarter

import pickle, cv2, sqlite3
import numpy as np
class BGRHist:
	def __init__(self, bins):
		self.bins = bins
	def describe(self, img):
		hist = cv2.calcHist([img], range(3), None, self.bins, [0, 256]*3)
		cv2.normalize(hist, hist)
		return hist.flatten()
class Searcher: