######################################################################
log_file = open(args.log_file, 'a')
+log_file.write('\n')
+log_file.write('@@@@@@@@@@@@@@@@@@@ ' + time.ctime() + ' @@@@@@@@@@@@@@@@@@@\n')
+log_file.write('\n')
+
pred_log_t = None
last_tag_t = time.time()
img = input[i].clone()
img.sub_(img.min())
img.div_(img.max())
- filename = mistake_filename_pattern.format(b + i, target[i])
+ k = b * data_set.batch_size + i
+ filename = mistake_filename_pattern.format(k, target[i])
torchvision.utils.save_image(img, filename)
print(Fore.RED + 'Wrote ' + filename + Style.RESET_ALL)
return ne
print('The number of samples must be a multiple of the batch size.')
raise
-log_string('############### start ###############')
-
if args.compress_vignettes:
log_string('using_compressed_vignettes')
VignetteSet = svrtset.CompressedVignetteSet