zhensongren

To list all python versions in default locations

ls /usr/bin/python*

To remove just python3 package

sudo apt-get remove python3.5

plus it's dependent packages

sudo apt-get remove --auto-remove python3.5

plus configuration and/or data files of python3

sudo apt-get purge python3.5

cpmpercussion

% LaTeX Template for short student reports.
% Citations should be in bibtex format and go in references.bib
\documentclass[a4paper, 11pt]{article}
\usepackage[top=3cm, bottom=3cm, left = 2cm, right = 2cm]{geometry} 
\geometry{a4paper} 
\usepackage[utf8]{inputenc}
\usepackage{textcomp}
\usepackage{graphicx} 
\usepackage{amsmath,amssymb}  
\usepackage{bm}  

MuhammadSaim

RAR registration data
WinRAR
Unlimited Company License
UID=4b914fb772c8376bf571
6412212250f5711ad072cf351cfa39e2851192daf8a362681bbb1d
cd48da1d14d995f0bbf960fce6cb5ffde62890079861be57638717
7131ced835ed65cc743d9777f2ea71a8e32c7e593cf66794343565
b41bcf56929486b8bcdac33d50ecf773996052598f1f556defffbd
982fbe71e93df6b6346c37a3890f3c7edc65d7f5455470d13d1190
6e6fb824bcf25f155547b5fc41901ad58c0992f570be1cf5608ba9

DSamuylov

How to install OpenCV 4.1.0 with CUDA 10.0 in Ubuntu distro 18.04

First of all install update and upgrade your system:

    $ sudo apt update
    $ sudo apt upgrade

Then, install required libraries:

docPhil99

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

pknowledge

import matplotlib.pylab as plt
import cv2
import numpy as np

image = cv2.imread('road.jpg')
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

print(image.shape)
height = image.shape[0]
width = image.shape[1]

tikurahul

Step 1: Setup CUDA on Jetson Nano

• Setup some environment variables so nvcc is on $PATH. Add the following lines to your ~/.bashrc file.

# Add this to your .bashrc file
export CUDA_HOME=/usr/local/cuda
# Adds the CUDA compiler to the PATH
export PATH=$CUDA_HOME/bin:$PATH
# Adds the libraries

raulqf

Install OpenCV 4.10 with CUDA 12.6 and CUDNN 8.9 in Ubuntu 24.04

First of all install update and upgrade your system:

    $ sudo apt update
    $ sudo apt upgrade

Then, install required libraries:

shashirajraja

#include<iostream>
#include<queue>
using namespace std;
struct Node{
	int data;
	struct Node* left;
	struct Node* right;
};
Node* newNode(int val){
	Node *temp = new Node();

shashirajraja

//MERGE SORT
#include<stdio.h>
#include<conio.h>
int merge(int a[],int lower1,int upper1,int lower2,int upper2)
{
	int p,q,j,n,d[100];
	p=lower1;
	q=lower2;
	n=0;
	while((p<=upper1) && (q<=upper2))