diff -Naru a/icdar_eval/script.py b/icdar_eval/script.py
--- a/icdar_eval/script.py	2022-09-12 16:31:05.981387871 +0000
+++ b/icdar_eval/script.py	2022-09-12 16:35:08.681390844 +0000
@@ -1,7 +1,8 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
+
 from collections import namedtuple
-from . import rrc_evaluation_funcs
+import rrc_evaluation_funcs
 import importlib
 
 def evaluation_imports():
@@ -37,7 +38,7 @@
     gt = rrc_evaluation_funcs.load_zip_file(gtFilePath,evaluationParams['GT_SAMPLE_NAME_2_ID'])
 
     subm = rrc_evaluation_funcs.load_zip_file(submFilePath,evaluationParams['DET_SAMPLE_NAME_2_ID'],True)
-
+    
     #Validate format of GroundTruth
     for k in gt:
         rrc_evaluation_funcs.validate_lines_in_file(k,gt[k],evaluationParams['CRLF'],evaluationParams['LTRB'],True)
@@ -50,7 +51,7 @@
         rrc_evaluation_funcs.validate_lines_in_file(k,subm[k],evaluationParams['CRLF'],evaluationParams['LTRB'],False,evaluationParams['CONFIDENCES'])
 
     
-def evaluate_method(gt_dict, subm_dict, evaluationParams):
+def evaluate_method(gtFilePath, submFilePath, evaluationParams):
     """
     Method evaluate_method: evaluate method and returns the results
         Results. Dictionary with the following values:
@@ -138,6 +139,9 @@
     matchedSum = 0
     
     Rectangle = namedtuple('Rectangle', 'xmin ymin xmax ymax')
+    
+    gt = rrc_evaluation_funcs.load_zip_file(gtFilePath,evaluationParams['GT_SAMPLE_NAME_2_ID'])
+    subm = rrc_evaluation_funcs.load_zip_file(submFilePath,evaluationParams['DET_SAMPLE_NAME_2_ID'],True)
    
     numGlobalCareGt = 0;
     numGlobalCareDet = 0;
@@ -145,7 +149,9 @@
     arrGlobalConfidences = [];
     arrGlobalMatches = [];
 
-    for resFile, (pointsList, transcriptionsList) in gt_dict.items():
+    for resFile in gt:
+        
+        gtFile = rrc_evaluation_funcs.decode_utf8(gt[resFile])
         recall = 0
         precision = 0
         hmean = 0    
@@ -173,7 +179,8 @@
         sampleAP = 0;
 
         evaluationLog = ""
-
+        
+        pointsList,_,transcriptionsList = rrc_evaluation_funcs.get_tl_line_values_from_file_contents(gtFile,evaluationParams['CRLF'],evaluationParams['LTRB'],True,False)
         for n in range(len(pointsList)):
             points = pointsList[n]
             transcription = transcriptionsList[n]
@@ -190,8 +197,11 @@
                 
         evaluationLog += "GT polygons: " + str(len(gtPols)) + (" (" + str(len(gtDontCarePolsNum)) + " don't care)\n" if len(gtDontCarePolsNum)>0 else "\n")
         
-        if resFile in subm_dict:
-            pointsList, confidencesList = subm_dict[resFile]
+        if resFile in subm:
+            
+            detFile = rrc_evaluation_funcs.decode_utf8(subm[resFile]) 
+            
+            pointsList,confidencesList,_ = rrc_evaluation_funcs.get_tl_line_values_from_file_contents(detFile,evaluationParams['CRLF'],evaluationParams['LTRB'],False,evaluationParams['CONFIDENCES'])
             for n in range(len(pointsList)):
                 points = pointsList[n]