Amir Saniyan amir-saniyan

Persian Names Cleaner

from tqdm import tqdm
from collections import OrderedDict
import csv


def read_names(file_path):
    names = []

Python Motion Detector

Motion Detector Using BackgroundSubtractorKNN

import cv2

_IMAGE_SIZE = (512, 512)

_BACKGROUND_SUBTRACTOR_HISTORY = 100

Create private branch of a public repository

This gist describes how to create private branch (downstream) of a public repository (upstream).

Initialize repository

$ git init private-repo
$ cd private-repo

Cross compiling ONNX Runtime on Ubuntu for Raspberry Pi

The following steps shows how to cross compiling ONNX Runtime on Ubuntu for Raspberry Pi with docker.

Install Docker Engine

https://docs.docker.com/engine/install/ubuntu/

Install qemu

Password Protect Web Directories in Nginx Docker Containers

In the name of God

This gist describes how to setup password protect web directories in Nginx docker containers.

Step 1: Create Password File

To create the password file using the OpenSSL utilities, run the following command in terminal:

In the name of God

Embedding Similarity Measurement

This gist contains implementation of Embedding Similarity Measurement in C++ and Python.

Manhattan Distance

https://en.wikipedia.org/wiki/Taxicab_geometry

In the name of God

Raspberry Pi Hardware ID

The following C++ code, shows how to get Raspberry Pi hardware ID(s) in various ways. You can concatenate the strings and calculate it's hash to take Raspberry Pi Fingerprint:

rpid.cpp:

	#!/usr/bin/env bash

	SCRIPTPATH="$( cd -- "$(dirname "$0")" >/dev/null 2>&1 ; pwd -P )"

	cd "$SCRIPTPATH"

	for dir in */ ; do
	echo "$dir"

	cd "$SCRIPTPATH/$dir"

	# Python 3 - Encrypt/Decrypt using AES 256
	# pip install pycryptodome
	# Crypto.__version__ == 3.20.0

	import base64
	import hashlib

	from Crypto.Cipher import AES
	from Crypto.Random import get_random_bytes

	class ImageCropper:

	@staticmethod
	def crop(image, x, y, width, height):
	try:
	image_width = image.shape[1]
	image_height = image.shape[0]

	x = max(0, min(image_width - 1, x))
	y = max(0, min(image_height - 1, y))