cobaohieu

#!/bin/bash
# Distributed under the GNU GPL

# Check if user is root
if [ "$EUID" -ne 0 ]
  then echo "Please run as root"
  exit
fi

# Get path

cobaohieu

Use folowing steps to repackage dep package:

1: Extract deb package
    # dpkg-deb -x <package.deb> <dir>

2: Extract control-information from a package
    # dpkg-deb -e <package.deb> <dir/DEBIAN>

3. After completed to make changes to the package, repack the deb
    # dpkg-deb -b <dir> <new-package.deb>

cobaohieu

#!/usr/bin/env swift

//
//  PrintBootCampESDInfo.swift
//
//  Created by nuomi1 on 8/5/18.
//  Copyright © 2018年 nuomi1. All rights reserved.
//

import Foundation

cobaohieu

Acknowledgements Install Ubuntu on Macbook Pro

Requirements

2 USB drives >= 8GB

Pre-Install

cobaohieu

Disable Device Enrollment Program (DEP) notification on macOS Ventura.md

Ventura docs for M2 Macs in this comment: https://gist.github.com/henrik242/65d26a7deca30bdb9828e183809690bd?permalink_comment_id=4555340#gistcomment-4555340

Old Monterey docs in this old revision: https://gist.github.com/henrik242/65d26a7deca30bdb9828e183809690bd/32c410e3a1de73539c76fa13ea5486569c4e0c5d

Solution for Sonoma: https://gist.github.com/sghiassy/a3927405cf4ffe81242f4ecb01c382ac

cobaohieu

##install https://brew.sh
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
brew update
brew upgrade

##nvidia gfx driver install
https://github.com/vulgo/webdriver.sh

cobaohieu

Step 1: Installing CUDA (~5.5 minutes)

You can also install CUDA directly from the offline installer, but this is a little easier.

sudo apt update
sudo apt upgrade -y

mkdir install ; cd install
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin

cobaohieu

The code for this tutorial is here

Opencv provides are useful, but limited, method of building a GUI. A much more complete system could be acheived using pyqt. The question is, how do we display images. There are quite a few possible routes but perhaps the easiest is to use QLabel since it has a setPixmap function. Below is some code that creates two labels. It then creates a grey pixmap and displays it one of the labels. code: staticLabel1.py

from PyQt5.QtWidgets import QWidget, QApplication, QLabel, QVBoxLayout
from PyQt5.QtGui import QPixmap, QColor
import sys

cobaohieu

# -*- coding: utf-8 -*-
"""
Clone on Wed Jul 21 16:39:29 2021

@author: xyz

This code is used to resize the images from dir/subdir to new directory (newdir/subdir) with its corresponding subdirectory

Original folder with it subdir:
./vegetables

cobaohieu

Installation

pip3 install --user pyqt5  
sudo apt-get install python3-pyqt5  
sudo apt-get install pyqt5-dev-tools
sudo apt-get install qttools5-dev-tools

---

Configuring to run from terminal