bart02

/*
 * Round robin algorithm.
 *
 * It got rid of the disadvantages of the greedy algorithm,
 * so each process gets an equal amount of CPU time, that makes round-robin the most efficient on big numbers of processes.
 * But for little numbers it could be less efficient (depending on the quantum factor).
 */

#include <stdio.h>
#include <limits.h>

bart02

# USAGE:
# Get creds on https://stepik.org/oauth2/applications/
# s = Stepik('client_id',
#            'client_secret')
# link = s.upload_file(path_to file, stepik_filename, course=102606)


from os import PathLike
from typing import Union

bart02

# -*- coding: utf-8 -*-
from __future__ import print_function
import math

# Clover imports
import rospy
from clover import srv
from std_srvs.srv import Trigger

# Computer vision imports

bart02

from PyQt5 import QtGui
from PyQt5.QtWidgets import QApplication, QDialog, QProgressBar, QPushButton, QVBoxLayout
import sys
from PyQt5.QtCore import Qt, QThread, pyqtSignal
import time


class MyThread(QThread):
    # Create a counter thread
    change_value = pyqtSignal(int)

bart02

import serial

def search():
    found = False
    for j in range(3):
        for i in range(64):
            try:
                if j == 0:
                    port = "/dev/ttyACM" + str(i)
                elif j == 1:

bart02

#include "mavlink.h"


// Launch the serial port in setup
void setup() {
  // MAVLink interface start
  Serial.begin(57600);
  Serial3.begin(57600);
  
  Mav_Request_Data();

bart02

from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
import logging
from uncv import classificate

# Enable logging
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
                    level=logging.INFO)

logger = logging.getLogger(__name__)

bart02

import cv2 as cv
import numpy as np


def check(frame, mask):
    contours = cv.findContours(mask, cv.RETR_TREE, cv.CHAIN_APPROX_NONE)
    contours = contours[1]

    if contours:
        contours = sorted(contours, key=cv.contourArea, reverse=True)