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# Written by Luis Mesas
import threading
import time
import cv2

# Define video capture class
class VideoCaptureAsync:
    def __init__(self, src=0, width=640, height=480, driver=None):
        self.src = src
        if driver is None:

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Intel for display, NVIDIA for computing

This guide will show you how to use Intel graphics for rendering display and NVIDIA graphics for CUDA computing on Ubuntu 18.04 desktop.

I made this work on an ordinary gaming PC with two graphics devices, an Intel UHD Graphics 630 plus an NVIDIA GeForce GTX 1080 Ti. Both of them can be shown via lspci | grep VGA.

00:02.0 VGA compatible controller: Intel Corporation Device 3e92
01:00.0 VGA compatible controller: NVIDIA Corporation GP102 [GeForce GTX 1080 Ti] (rev a1)

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Convolutional Neural Network For Sentence Classification

Introduction

• The paper demonstrates how simple CNNs, built on top of word embeddings, can be used for sentence classification tasks.
• Link to the paper
• Implementation

Architecture

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#!/bin/bash

# Download GitKraken
wget https://release.gitkraken.com/linux/gitkraken-amd64.tar.gz

# copy the downloaded file into /opt directory
cp gitkraken-amd64.tar.gz /opt/gitkraken

cd /opt