akleemans

#!/usr/bin/python
# -*- coding: utf-8 -*-
'''Download the current Spotify Top 50 from Youtube.'''

import urllib.request
import subprocess

# fetch charts
print('Downloading charts...')
req = urllib.request.Request('https://spotifycharts.com/regional/global/weekly/latest/download', headers={'User-Agent': 'Mozilla/5.0'})

akleemans

import time

all_pieces = [
    (0, [('-', 0, 0), ('|', 1, 0), ('-', 2, 0), ('|', 2, 1), ('|', 3, 0)]),
    (1, [('-', 1, 0), ('|', 1, 1), ('-', 0, 1), ('|', 0, 2), ('-', 0, 3)]),
    (2, [('|', 0, 0), ('-', 0, 1), ('|', 0, 2), ('-', 0, 3), ('|', 0, 4)]),
    (3, [('|', 0, 0), ('-', 0, 1), ('|', 1, 1), ('-', 2, 1), ('|', 2, 2)]),
    (4, [('-', 2, 0), ('|', 2, 1), ('-', 1, 1), ('|', 1, 2), ('-', 0, 2)]),
    (5, [('-', 0, 0), ('|', 0, 1), ('-', 0, 2), ('|', 0, 3), ('-', 0, 4)]),
    (6, [('-', 0, 0), ('|', 0, 1), ('-', 0, 2), ('-', 1, 1), ('|', 2, 1)]),

akleemans

from typing import List, Tuple
import requests
import json
import glob
import os
from PIL import Image, ImageOps

"""
This script will automically pick up images from a subfolder 'img' and try to classify them against
the Pl@ntNet API. (You have to provide your API key below.)

akleemans

# Counts jigsaw puzzle pieces
# See https://www.kleemans.ch/counting-jigsaw-puzzle-pieces
# Uses opencv-python==4.11.0.86 and numpy==2.2.2

import statistics

import cv2
import numpy as np