diff --git a/evaluation/scores/calc_real_video.py b/evaluation/scores/calc_real_video.py
deleted file mode 100755
index 0962258..0000000
--- a/evaluation/scores/calc_real_video.py
+++ /dev/null
@@ -1,45 +0,0 @@
-#!/usr/bin/python
-#-*- coding: utf-8 -*-
-
-import time, pdb, argparse, subprocess, pickle, os, gzip, glob
-
-from SyncNetInstance_calc_scores import *
-
-# ==================== PARSE ARGUMENT ====================
-
-parser = argparse.ArgumentParser(description = "SyncNet");
-parser.add_argument('--initial_model', type=str, default="data/syncnet_v2.model", help='');
-parser.add_argument('--batch_size', type=int, default='20', help='');
-parser.add_argument('--vshift', type=int, default='15', help='');
-parser.add_argument('--data_dir', type=str, default='data/work', help='');
-parser.add_argument('--videofile', type=str, default='', help='');
-parser.add_argument('--reference', type=str, default='', help='');
-opt = parser.parse_args();
-
-setattr(opt,'avi_dir',os.path.join(opt.data_dir,'pyavi'))
-setattr(opt,'tmp_dir',os.path.join(opt.data_dir,'pytmp'))
-setattr(opt,'work_dir',os.path.join(opt.data_dir,'pywork'))
-setattr(opt,'crop_dir',os.path.join(opt.data_dir,'pycrop'))
-
-
-# ==================== LOAD MODEL AND FILE LIST ====================
-
-s = SyncNetInstance();
-
-s.loadParameters(opt.initial_model);
-#print("Model %s loaded."%opt.initial_model);
-
-flist = glob.glob(os.path.join(opt.crop_dir,opt.reference,'0*.avi'))
-flist.sort()
-
-# ==================== GET OFFSETS ====================
-
-dists = []
-for idx, fname in enumerate(flist):
-    offset, conf, dist = s.evaluate(opt,videofile=fname)
-    print (str(dist)+" "+str(conf))
-      
-# ==================== PRINT RESULTS TO FILE ====================
-
-#with open(os.path.join(opt.work_dir,opt.reference,'activesd.pckl'), 'wb') as fil:
-#    pickle.dump(dists, fil)
diff --git a/evaluation/scores/scores_calc_real_videos.sh b/evaluation/scores/scores_calc_real_videos.sh
deleted file mode 100644
index 8634f95..0000000
--- a/evaluation/scores/scores_calc_real_videos.sh
+++ /dev/null
@@ -1,6 +0,0 @@
-yourfilenames=`ls $1`
-for eachfile in $yourfilenames
-do
-   python run_pipeline.py --videofile $eachfile --reference lipsyncnet --data_dir /ssd_scratch/cvit/prajwalkr_rudra/tmp_dir
-   python calc_real_video.py --videofile $eachfile --reference lipsyncnet --data_dir /ssd_scratch/cvit/prajwalkr_rudra/tmp_dir >> test_score.txt
-done