mikkohei13

# Script that fetches winter period atlas observations and checks which of them might affect atlas results.

import os
import requests
import json
import time
from datetime import datetime

# Fetch atlas observations

mikkohei13

# Image augmentation for machine learning
# Script that loops through images in subdirectories and replaces the background using rembg and does transformations to selected number of images in each directory

import rembg
from pathlib import Path
import random
from PIL import Image, ImageEnhance, ImageFilter
import numpy as np
import gc
import time

mikkohei13

# Check if FFmpeg is installed
try {
    ffmpeg -version | Out-Null
} catch {
    Write-Error "FFmpeg is not installed or not in PATH. Please install FFmpeg first."
    exit 1
}

# Allow user to specify the root directory or use current directory as default
$rootDirectory = Read-Host "Enter the root directory path (press Enter to use current directory)"

mikkohei13

# PowerShell script for Windows.
# This script finds directories with 10 or more photos in them,
# matching the patterns used by digital camera: IMG_, DSC_, or DSCN.

param(
    [Parameter(Mandatory=$true)]
    [string]$DirectoryPath
)

# Verify the directory exists

mikkohei13

# Join en and sv names from Syke's file to original Lely habitat file

# Habitat file, tab separated values    
habitat_file = 'habitat_classification_v1.0.tsv'

"""
Example data of habitat_classification_v1.0.tsv:

Enum	Vihkon elinympäristö	1.taso	2. taso	3. taso	Swedish	English
MY.habitatEnumValue1	Metsät	Metsä			Skog	Forest

mikkohei13

# Python script that creates a CSV file with image file paths and their corresponding categories
# Should work on both Linux & Windows, and with unicode filenames
'''
Input format:

directory;category
./lepidoptera/adult;adult
./lepidoptera/adult_specimen;adult_specimen
./lepidoptera/egg;egg

mikkohei13

'''
Converts "Luken aineistokooste 4. lintuatlakseen" tsv file into FinBIF Data Bank secondary data format.
Mikko Heikkinen 2023-12-29, updated 2025-01-07
'''

import pandas as pd

# Save file from Excel as UTF-8 CSV
# Load the file into a Pandas dataframe using tab as the delimiter. Keep "NA" as a value.
file_path = 'Luke_lintuatlasdata_2023-2024.csv'

mikkohei13

# Script to parse ChatGPT conversations.json file to analyze how many messages were sent by ChatGPT and users, and how many conversations were created per year and month.
# conversations.json is a JSON file containing a list of conversations. You can get this by starting a data export in ChatGPT settings.

import json
from collections import defaultdict
from datetime import datetime

# Load the JSON file
file_path = "conversations.json"
with open(file_path, "r") as file:

mikkohei13

# Script to read FinBIF API json data file aggregated by year and month, and to generate line graph.
# Get data e.g. at 
# https://api.laji.fi/v0/warehouse/query/unit/aggregate?aggregateBy=gathering.conversions.month%2Cgathering.conversions.year&onlyCount=true&taxonCounts=false&gatheringCounts=false&pairCounts=false&atlasCounts=false&excludeNulls=true&pessimisticDateRangeHandling=false&pageSize=1000&page=1&cache=false&useIdentificationAnnotations=true&includeSubTaxa=true&includeNonValidTaxa=true&time=2000%2F2024&collectionId=HR.3551&individualCountMin=1&qualityIssues=NO_ISSUES&access_token=TOKEN

import json
import pandas as pd
import matplotlib.pyplot as plt
from collections import defaultdict

'''

mikkohei13

# Compares id's from two files and outputs the id's that are in the first file but not in the second file

import pandas as pd

def read_column_to_list(filename, column_name, separator=','):
    """
    Reads a single column from a large CSV or TSV file into a list.
    
    :param filename: The path to the CSV or TSV file.
    :param column_name: The name of the column to read (default is "id").