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Added eval script for the real videos

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rudrabha 2020-10-03 21:41:51 +05:30
parent c72e2d0e7c
commit 4f68fc1df9
2 changed files with 52 additions and 0 deletions
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45
evaluation/scores_LSE/calculate_scores_real_videos.py Executable file
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#!/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)

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evaluation/scores_LSE/calculate_scores_real_videos.sh Normal file
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rm all_scores.txt
yourfilenames=`ls $1`
for eachfile in $yourfilenames
do
python run_pipeline.py --videofile $eachfile --reference wav2lip --data_dir tmp_dir
python calculate_scores_real_videos.py --videofile $eachfile --reference wav2lip --data_dir /ssd_scratch/cvit/prajwalkr_rudra/tmp_dir >> all_scores.txt
done