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# With this script you can easily share a folder from your PC to the local network.
# The script creates an HTTP server protected by credentials. Basic auth only: encryption certificate not included.
# The server stops after a timeout is triggered (default: 1h).
#
# Example
# -------
# python http_server_auth.py --username u53r --password p4Sw0rd --directory ~/Public
#
# Anyone on the local network can access your Public folder in your home, typing your local address+port in a browser (eg. 157.27.93.172:8000).
#

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# Samsung A3
# Front camera: 8 MP, f/2.4, 31mm (standard), AF

width:  4128
height: 2322
focal: 3.6

rms: 1.6153361028439144

camera_mtx:

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#!/bin/bash

# Tested on
# ------------------------------
# OS                Ubuntu 18.04
# Platform          x86_64, aarch64
# Python            3.6

if [ $# != 1 ]; then
	echo -e "Usage:\n\t./build_opencv.sh VERSION\n\nExample:\n\t./build_opencv.sh 4.2.0"

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def load_nv12_as_bgr(filename, shape, dtype=np.uint8):
    with open(filename, "rb") as fp:
        data = fp.read()
    image = np.frombuffer(data, dtype=dtype).reshape(shape)
    image = cv2.cvtColor(image, cv2.COLOR_YUV2BGR_NV12)
    return image

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How to Valgrind

Install

sudo apt update
sudo apt install valgrind

Write code

hello_valgrind.c

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Auto mount at boot time

Tested on Ubuntu 18.04.

Retrieve UUID

First of all, try with the command blkid (man: locate/print block device attributes) to show the UUID of the disk you want to mount. For example:

blkid /dev/nvme0n1

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#!/bin/bash

EXTENSION=$1
PATTERN=$2

grep --include="*.${EXTENSION}" -nRHI "${PATTERN}" *

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function [Y,U,V] = cvtRGB2YUV(R,G,B)
    
    R = double(R);
    G = double(G);
    B = double(B);

    Y =  0.257 * R + 0.504 * G + 0.098 * B +  16;
    U = -0.148 * R - 0.291 * G + 0.439 * B + 128;
    V =  0.439 * R - 0.368 * G - 0.071 * B + 128;
    

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/*
 * Convert a cv::Mat frame to a QPixmap and show it in a Qt object.
 *
 * Parameters
 * ----------
 *     frame : cv::Mat
 *         Input image in BGR format.
 */
void updateImageFrameToQLabel(cv::Mat& frame)
{

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import sys
import numpy as np
import matplotlib.pyplot as plt
from wordcloud import WordCloud

filename = sys.argv[1]
print(filename)

text = open(filename, "r").read()