fehlfarbe

import sys
import cv2
import numpy as np

FULL = "full.jpg"
CROP = "crop.jpg"

def template_matching(full, template, start=0.1, stop=1.0, step=0.1):
    
    crop_full = cv2.resize(template, tuple(np.roll(full.shape, 1)))

fehlfarbe

import sys
import cv2
import numpy as np
from math import sqrt, acos
from optparse import OptionParser

#FULL = "full.jpg"
#CROP = "crop.jpg"
#FULL = "pleiades_hyades_50percent.jpg"
#CROP = "pleiades_hyades_50percent_crop.jpg"

fehlfarbe

#!/bin/bash

find . -name "*.jpg" -type f -print0 | while read -d $'\0' file
do
		#echo "$file"
    # get resolution via jhead
		res=$(jhead "$file" 2>/dev/null | grep Resolution)
    # extract x and y resolution
	  x=$(echo $res |  awk '{print $3}')
	  y=$(echo $res |  awk '{print $5}')

fehlfarbe

/*
 * $Id: scanbd.conf 241 2017-04-19 07:53:25Z wimalopaan $
 *
 *  scanbd - KMUX scanner button daemon
 *
 *  Copyright (C) 2008 - 2017 Wilhelm Meier (wilhelm.wm.meier@googlemail.com)
 *
 *  This program is free software; you can redistribute it and/or modify
 *  it under the terms of the GNU General Public License as published by
 *  the Free Software Foundation; either version 2 of the License, or