lukicdarkoo

# This script prepares your machine for computer vision challenges (with NVIDIA).
# Tested with Ubuntu 20.04 LTS and NVIDIA GeForce GTX 1070 (Aorus Gaming Box enclosure).
# Reddit post: https://www.reddit.com/r/eGPU/comments/io94qq/linux_aorus_gaming_box_for_robotics_and_computer/
#
# The script does the following:
# * Installs NVIDIA driver
# * Installs NVIDIA CUDA Toolkit (`nvcc`)
# * Installs NVIDIA CUDA Deep Neural Network library (cuDNN)
# * Installs OpenCV with CUDA support (WIP)
# * Installs TensorFlow with CUDA support

lukicdarkoo

#VRML_SIM R2020b utf8
WorldInfo {
  info [
    "The model of the e-puck 2 robot"
  ]
  title "e-puck simulation"
  coordinateSystem "NUE"
}
Viewpoint {
  orientation 0.04913069345659068 0.9922428678493876 0.11419398479121845 3.8679

lukicdarkoo

"""
Converts LabelMe annotations to annotations compatible with YOLO.
The script does the following:
- cleans (!) the output directory and prepare it for training,
- splits the dataset on validation and training,
- converts all LabelMe annoations (*.json) to YOLO annoations (*.txt) and
- creates YOLO metadata (`.data`, `.names`, `train.txt` and `valid.txt`)
"""

import os

lukicdarkoo

# pip3 install pyserial

import time
import serial
import rclpy
import threading
from rclpy.node import Node
from std_msgs.msg import Int32

lukicdarkoo

# Quick start
# Install dependencies: pip3 install rosinstall_generator vcstool colcon-common-extensions; sudo -H pip3 install rosdep
# Install the script: curl https://gist.githubusercontent.com/lukicdarkoo/d03196b15367b804b27c142dad8644e9/raw/503201cc3b2a86c61dfb4f3cf1cc761cbc096bff/rospm.sh >> $HOME/.bashrc; exec bash

rospm-install() {
    # This tool combines `rosinstall_generator`, `vcs` and `colcon` to
    # easily install package in a custom ROS workspace
    
    # Set default parameters
    PACKAGE_NAME=$1

lukicdarkoo

#include <inttypes.h>
#include <stdbool.h>
#include <stdio.h>
#include <assert.h>
#include <string.h>

const char PROPRIETARY = 'P';
const char MANUFACTURER_IDENTIFIER[] = "UWV";

#define NMEA0183_OUT_OF_RANGE -1

lukicdarkoo

// Reference: https://www.geeksforgeeks.org/hamming-code-in-computer-network/

#include <inttypes.h>
#include <stdio.h>
#include <assert.h>


#define PRINT_BITS(x)                                                          \
	for (int i = sizeof(x) << 3; i; i--)                                   \
		putchar('0' + (((x) >> (i - 1)) & 1));                         \

lukicdarkoo

#include "circbuff.h"

void circbuff_init(circbuff_t *circbuff) {
	circbuff->end_bit = 0;
	circbuff->end_byte = 0;
	circbuff->start_bit = 0;
	circbuff->start_byte = 0;
}

uint8_t circbuff_size(circbuff_t *circbuff) {

lukicdarkoo

import sys
import time
import smtplib
import logging
from pyquery import PyQuery
from requests_html import HTMLSession


logging.basicConfig(filename='isa.log', format='[%(asctime)s] %(message)s', filemode='w', level=logging.INFO)
logger = logging.getLogger('isa')

lukicdarkoo

import re
from functools import reduce


def nmea0183_create(arguments, proprietary='P', manufacturer_identifier='UWV'):
    """
    Create NMEА0183 sentence

    Parameters
    ----------