Roman Inflianskas rominf

How to resize a qcow2 disk image on Linux

This example takes olddisk.qcow2 and resizes it into newdisk.qcow2, extending one of the guest's partitions to fill the extra space.

This gist documents the Google Summer of Code project. It is not updated and hence does not indicate current status of the CUDA backend.

For updated details, please see this gist.

Note: This guide applies to the project created by quasar-cli.

First install typescript and ts-loaderpackages in your project.

npm i -D typescript ts-loader

Then modified the quasar.conf.js file in your project:

You can post a json file with curl like so:

curl -X POST -H "Content-Type: application/json" -d @FILENAME DESTINATION

so for example:

	#!/usr/bin/env python3
	import multiprocessing
	import tempfile

	from fastapi import FastAPI
	from uvicorn import Config, Server
	import webview

	from nicegui import ui

	#include <opencv2/dnn.hpp>
	#include <opencv2/imgproc.hpp>
	#include <opencv2/highgui.hpp>
	#include <opencv2/core/utils/trace.hpp>
	using namespace cv;
	using namespace cv::dnn;
	#include <fstream>
	#include <iostream>
	#include <cstdlib>
	using namespace std;

	"""
	MIT License

	Copyright (c) 2017 Michał Bultrowicz

	Permission is hereby granted, free of charge, to any person obtaining a copy
	of this software and associated documentation files (the "Software"), to deal
	in the Software without restriction, including without limitation the rights
	to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	copies of the Software, and to permit persons to whom the Software is

	from pygame.locals import KEYDOWN, K_ESCAPE, K_q
	import pygame
	import cv2
	import sys

	camera = cv2.VideoCapture(1)
	pygame.init()
	pygame.display.set_caption("OpenCV camera stream on Pygame")
	screen = pygame.display.set_mode([1280, 720])

	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)

	# Assuming an Ubuntu Docker image
	$ docker run -it <image> /bin/bash