Logrus

"""
Recently Implicit Neural Representations gain popularity.
One of the issues there though is that the learned representations 
are low-frequency biased, resulting in over-smoothed representations.

There has been a few approaches suggested to alleviate the issue,
for example by using positional encodings.
An alternative could be using Sin/Cos activation functions,
which in essence present a learnable basis functions.

Logrus

#!/usr/bin/env python3
"""Extract sensor_msgs/CompressedImage from bagfile and save into a folder as png or jpeg files

Example usage:
./extract_images_from_bagfile.py bagfile.bag "/camera_topic" output_folder/images

Then files will be saved inside:
  output_folder/images/image_1594120767.5438294.jpeg
  output_folder/images/image_1594120767.8838294.jpeg
  output_folder/images/image_1594120767.9538294.jpeg

Logrus

showasm() {
  $1++ $2 -O$3 -std=c++2a -S -masm=intel -o _temp_name.s && cat _temp_name.s | c++filt | grep -vE '\s+\.' > _temp_name_.s && rm _temp_name.s && vim _temp_name_.s
}

Logrus

cat *.log | grep -o ".Loss.[0-9]*\.[0-9]*" | grep -o "[0-9]*\.[0-9]*" > loss_values.txt
gnuplot <<- EOF
  set terminal dumb
  set xlabel "Iterations"
  set ylabel "Loss"
  plot "loss_values.txt"
EOF

Logrus

#!/bin/bash

cat *log | grep -o ".Loss.[0-9]*\.[0-9]*" | grep -o "[0-9]*\.[0-9]*" > loss_values.txt
num=51
if [ $# -eq 1 ]; then
  num=$1
fi
python -c "import numpy as np; from scipy.signal import savgol_filter; y=np.loadtxt('loss_values.txt'); yh=savgol_filter(y, $num, 3); np.savetxt('smoothed_values.txt',yh);"
(
gnuplot <<- EOF

Logrus

// Source: http://stackoverflow.com/questions/12791864/c-program-to-check-little-vs-big-endian
#include <stdio.h>

int main()
{
    int x = 1;
    char *y = (char*)&x;
    if(*y){
      printf("This computer is LITTLE endian.\n");
      printf("     higher memory             \n");

Logrus

# Add to .bashrc
# alias tmux="TERM=screen-256color-bce tmux"

# Installing new tmux on 14.04
# sudo add-apt-repository ppa:pi-rho/dev
# sudo apt-get update
# sudo apt-get install python-software-properties software-properties-common
# sudo apt-get install -yqq tmux-next=2.3~20161028~bzr3606+20-1ubuntu1~ppa0~ubuntu14.04.1
# Add to .bashrc
# alias tmux="TERM=screen-256color-bce tmux-next"

Logrus

" Installing vundle, run:
" git clone https://github.com/VundleVim/Vundle.vim.git ~/.vim/bundle/Vundle.vim
" after, run in vim
" :PluginInstall
"
set nocompatible              " be iMproved, required
filetype off                  " required

set rtp+=~/.vim/bundle/Vundle.vim
call vundle#begin()

Logrus

struct point{
	unsigned int x, y;
	point() {};
	point (int a, int b) {
		x = a; y = b;
	}
	bool point::operator ==(const point &a){
		return (x == a.x && y == a.y);
	}
};

Logrus

cmake_minimum_required(VERSION 2.6)

PROJECT(qt_vtk_pcl)

list(APPEND CMAKE_MODULE_PATH ${CMAKE_CURRENT_SOURCE_DIR})


find_package(PCL 1.7 REQUIRED)
include_directories(${PCL_INCLUDE_DIRS})
link_directories(${PCL_LIBRARY_DIRS})