Logrus’s gists

Logrus / CMakeLists.txt

Created April 5, 2014 07:27

PCL Viewer with Qt GUI minimal code

	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})

Logrus / sampleAndReturnlist.cpp

Last active August 29, 2015 14:17

	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 / .vimrc

Last active October 19, 2016 09:46

vimconf

	" 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 / .tmux.conf

Last active November 24, 2020 09:08

	# 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 / test_endianness.cc

Created October 30, 2016 18:27

	// 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 / gist:16412952fc890f16f289de3d8e08fd2c

Created November 21, 2016 18:22

plot_loss_py.sh

	#!/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 / gist:7e20e9e2e795f5da06c4952d3fc2524b

Created November 21, 2016 18:23

plot_loss.sh

	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 / bash_helpers.sh

Created November 15, 2019 23:58

	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 / extract_images_from_bagfile.py

Created July 20, 2020 16:05

Dump sensor_msgs/CompressedImage from bagfile into a folder as png or jpeg files

	#!/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 / image_learning.py

Last active September 13, 2023 13:36

Memorize an image with NN, made to play around with sin activation, positional encodings and etc.

	"""
	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.

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