njanakiev

import os
import shutil


# Settings
n, m = 6, 6
input_folder = "input"
tmp_folder = "tmp"
output_image = "combined_image.png"
size = 300

njanakiev

import numpy as np
from PIL import Image

output_image = 'fractal.png'

def evalMandelbrot(x, y, n=20):
    c = x + 1j*y
    out, count = 0, 0
    for i in range(n):
        if abs(out) <= 2:

njanakiev

Imagemagick Commands

Resize image (e.g. to size 800x800)

convert -resize 800x800 -quality 100 in.png out.png

Join images horizontally

convert +append *.png out.png

njanakiev

FFmpeg Commands

This is a collection of useful ffmpeg commands. Detailed description of the commands can be found in the documentation

Extract frames from video, one frame per second, where -r sets the desired framerate (e.g. -r 10 extracts 10 frames per second).

ffmpeg -i movie.mp4 -r 1 frames\\frame_%%04d.png

Create Instagram compatible video from frames

njanakiev

import sys
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler

class EventHandler(FileSystemEventHandler):
    def on_any_event(self, event):
        print("EVENT")
        print(event.event_type)
        print(event.src_path)
        print()

njanakiev

GDAL and OGR Recipes

Convert Shapefile to CSV file

ogr2ogr -f "CSV" output.csv input.shp -lco GEOMETRY=AS_XY

Convert Shapefile to GeoJSON

ogr2ogr -f "GeoJSON" output.json input.shp

njanakiev

Overpass API Recipes

Get all the peaks in the dolomites

area
  [place=region]
  ["region:type"="mountain_area"]
  ["name:en"="Dolomites"];
out body;

njanakiev

import nbformat

filepath = 'notebbook.ipynb'
with open(filepath, 'r', encoding='utf-8') as f:
    nb = nbformat.read(f, as_version=4)

wc_markdown, wc_heading, wc_code = 0, 0, 0
for cell in nb.cells:
    if cell.cell_type == "markdown":
        wc_markdown += len(cell['source'].replace('#', '').lstrip().split(' '))

njanakiev

import requests
import datetime
import pandas as pd
import json
import time


# Read rescuetime key
with open('key.txt', 'r') as f:
	key = f.read()

njanakiev

import os
import random
from PIL import Image, ImageOps


def concat_images(image_paths, size, shape=None):
    # Open images and resize them
    width, height = size
    images = map(Image.open, image_paths)
    images = [ImageOps.fit(image, size, Image.ANTIALIAS)