--- facedetect.orig	2020-09-24 18:01:57 UTC
+++ facedetect
@@ -2,8 +2,8 @@
 # facedetect: a simple face detector for batch processing
 # Copyright(c) 2013-2016 by wave++ "Yuri D'Elia" <wavexx@thregr.org>
 # Distributed under GPLv2+ (see COPYING) WITHOUT ANY WARRANTY.
-from __future__ import print_function, division
 
+
 import argparse
 import numpy as np
 import cv2
@@ -34,7 +34,7 @@ if 'cv' in dir(cv2):
 
 
 # Profiles
-DATA_DIR = '/usr/share/opencv/'
+DATA_DIR = '%%LOCALBASE%%/share/OpenCV/'
 CASCADES = {}
 
 PROFILES = {
@@ -58,7 +58,7 @@ def fatal(msg):
 
 
 def load_cascades(data_dir):
-    for k, v in PROFILES.iteritems():
+    for k, v in PROFILES.items():
         v = os.path.join(data_dir, v)
         try:
             if not os.path.exists(v):
@@ -117,7 +117,7 @@ def rank(im, rects):
         eN = s['eN'] = s['e'] / eMax
         f = s['f'] = eN * 0.7 + (1 - s['d']) * 0.1 + sN * 0.2
 
-    ranks = range(len(scores))
+    ranks = list(range(len(scores)))
     ranks = sorted(ranks, reverse=True, key=lambda x: scores[x]['f'])
     for i in range(len(scores)):
         scores[ranks[i]]['RANK'] = i
@@ -258,7 +258,7 @@ def __main__():
 
             if args.debug:
                 lines = []
-                for k, v in scores[i].iteritems():
+                for k, v in scores[i].items():
                     lines.append("{}: {}".format(k, v))
                 h = rect[1] + rect[3] + fontHeight
                 for line in lines: