Eka ekarad1um

As the death toll from the Wuhan coronavirus still risen, I felt anxious and helpless through everyone here were talking and laughing on New Year's Eve. Not sure what should I do and I just wrote this python3 program to make people aware of the importance of wearing respirator masks when defeating the virus.

In this program, we use CascadeClassifier to add respirators masks to the recognized faces in the capture. Before everything start, we have to import the necessary packages:

import argparse
import cv2

We use argparse to construct the argument parse for more flexible usage. The respirator image cloud be found on eBay, Google... and transparent background required as .png format. The haarcascade_frontalface_default.xml could be found at OpenCV official git repository https://github.com/opencv/opencv/tree/master/data/haarcascade.

Install dependencies

sudo apt-get install -y libopenblas-dev libblas-dev m4 cmake cython python3-dev python3-yaml python3-setuptools libavutil-dev libavcodec-dev libavformat-dev libswscale-dev

Build PyTorch from the source

git clone --recursive https://github.com/pytorch/pytorch
pushd pytorch
git submodule update --remote third_party/protobuf

I migrated my gist to my website:

WebSite https://unbinilium.github.io/

	#pragma once

	#include <algorithm>
	#include <string>
	#include <utility>
	#include <vector>

	#include <opencv2/core.hpp>
	#include <opencv2/dnn.hpp>
	#include <opencv2/imgproc.hpp>

	#!/usr/bin/env python3

	import os, argparse, secrets
	import numpy as np
	from array import *
	from pathlib import Path
	from PIL import Image

	def data_2_mnist(data_folder:Path, img_size:int, output_folder:Path):
	print("Dataset folder ->", data_folder)

	#pragma once

	#include <string>
	#include <vector>
	#include <utility>

	#include <torch/torch.h>
	#include <torch/script.h>

	#include <opencv2/core.hpp>

	#pragma once

	#include <hailo/hailort.hpp>

	#include <chrono>
	#include <future>
	#include <iostream>
	#include <mutex>
	#include <string>
	#include <string_view>

	#pragma once
	#ifndef RING_BUFFER_HPP
	#define RING_BUFFER_HPP

	#include "logger.hpp"

	#include <atomic>
	#include <cmath>
	#include <cstddef>
	#include <cstdint>

	// JSerializer - An exceptionally fast, stream-oriented, header-only C++ JSON serialization library.
	// MIT License Copyright (c) 2025 Unbinilium

	#pragma once
	#ifndef JSERIALIZER_HPP
	#define JSERIALIZER_HPP

	#include <array>
	#include <cerrno>
	#include <charconv>