qlkvg

from pprint import pprint
from collections import Counter
import csv
from itertools import chain

with open('Sj.csv', 'r', encoding='cp1251') as f:
    reader = csv.reader(f)
    your_list = list(reader)

def flatten(listOfLists):

qlkvg

from pprint import pprint
from copy import deepcopy

a = [
    ["a", "b", "Xval"],
    ["a", "b", "Yval, Zval"],
    ["a", "c", "Xval"],
    ["a", "d", "Xval"],
    ["a", "d", "Yval"],
    ["a", "d", "Xval"],

qlkvg

@classmethod
def open_any_available(cls):
    for cam in cls.enumerate_uris():
        try:
            return cls(cam)
        except OpenNIError:
            pass
    raise Exception("no available cams")

qlkvg

#!/usr/bin/python
import cv2
import numpy as np
from primesense import openni2
from primesense import _openni2 as c_api
openni2.initialize("<PATH TO OPENNI2 REDIST FOLDER>")
dev = openni2.Device.open_any()
depth_stream = dev.create_depth_stream()
depth_stream.start()
depth_stream.set_video_mode(c_api.OniVideoMode(pixelFormat = c_api.OniPixelFormat.ONI_PIXEL_FORMAT_DEPTH_100_UM, resolutionX = 640, resolutionY = 480, fps = 30))