Heydar Mahmoodi SC-One

Linux libtorch 1.4.0 ~ 1.10.1 gpu version url

cxx11 ABI

libtorch-cxx11-abi-shared-with-deps-1.4.0+cu92.zip : https://download.pytorch.org/libtorch/cu92/libtorch-cxx11-abi-shared-with-deps-1.4.0%2Bcu92.zip
libtorch-cxx11-abi-shared-with-deps-1.4.0+cu100.zip : https://download.pytorch.org/libtorch/cu100/libtorch-cxx11-abi-shared-with-deps-1.4.0%2Bcu100.zip
libtorch-cxx11-abi-shared-with-deps-1.4.0.zip : https://download.pytorch.org/libtorch/cu101/libtorch-cxx11-abi-shared-with-deps-1.4.0.zip
libtorch-cxx11-abi-shared-with-deps-1.5.0+cu92.zip : https://download.pytorch.org/libtorch/cu92/libtorch-cxx11-abi-shared-with-deps-1.5.0%2Bcu92.zip

Step by step instruction how to install CUDA 11 Ubuntu 20.04

NVidia Ubuntu 20.04 repository for CUDA 11

If you need CUDA Tolkit 11 with nvcc, other tools and libraries you can install it from NVIDIA Ubunutu 20.04 repository.

Add Ubuntu 20.04 repository

Install OpenCV 4.5 on Windows 10

Pre-configured OpenCV for Python from PyPi

open the terminal (Ctrl+R + cmd)
check Python3 installation: py --version
go to official website to learn details: https://pypi.org/project/opencv-python/
choose the most complete package and run: py -m pip install opencv-contrib-python
check installation by entering the Python REPL: py
import tha library: import cv2

	//Source code do curso Algoritmos com C++ por Fabio Galuppo
	//Ministrado em 2022 na Agit - https://www.agit.com.br/cursoalgoritmos.php
	//Fabio Galuppo - http://member.acm.org/~fabiogaluppo - [email protected]
	//Atualizado em 2024-01-17
	//This file is licensed to you under the MIT license

	//Ref.: https://sean-parent.stlab.cc/presentations/2021-03-13-relationships/2021-03-13-relationships.pdf

	#ifndef REGISTRY_HPP
	#define REGISTRY_HPP

	#include "tglang.h"
	#include "weights.h"

	#include <stdlib.h>
	#include <string.h>
	#include <stdint.h>

	#include <stdio.h>
	#include <math.h>

	# `Linguist` is required
	find_package(Qt6 COMPONENTS Linguist REQUIRED)

	# ...

	# Have your app specified
	qt_add_executable(myapp ...

	# ...

	#!/bin/bash

	### steps ####
	# verify the system has a cuda-capable gpu
	# download and install the nvidia cuda toolkit and cudnn
	# setup environmental variables
	# verify the installation
	###

	### to verify your gpu is cuda enable check

	import QtQuick 2.0
	import QtQuick.Layouts 1.12
	import QtQuick.Controls 2.12
	import QtQml.Models 2.12

	Item {
	id: root

	property alias model: tableView.model
	default property list<TableColumn> columns

	# Required deps:
	# imagemagick: https://imagemagick.org/script/download.php

	# name of your master icon, must be at least 512X512
	PNG_MASTER="icon-large.png"

	ICONSET_FOLDER="AppIcon.iconset"
	sizes=(
	16x16
	32x32

	#include "contactsmodel.h"

	#ifdef Q_OS_ANDROID
	# include <QtAndroid>
	# include <QtAndroidExtras>
	# include <jni.h>
	#endif

	QList<ContactsModel::Contact*> ContactsModel::_contacts;