timestamp

1 files changed, 2 insertions, 2 deletions

diff --git a/cli/app/search/search_class.py b/cli/app/search/search_class.py
index f290908..40801d6 100644
--- a/cli/app/search/search_class.py
+++ b/cli/app/search/search_class.py
@@ -24,6 +24,7 @@ from app.search.image import image_to_uint8, imconvert_uint8, imconvert_float32,
 from app.search.vector import truncated_z_sample, truncated_z_single, \
   create_labels, create_labels_uniform
 from app.search.video import export_video
+from app.search.params import timestamp
 
 feature_layer_names = {
   '1a': "InceptionV3/Conv2d_1a_3x3",
@@ -199,7 +200,6 @@ def find_nearest_vector(sess, generator, opt_fp_in, opt_dims, out_images, out_la
         phi_guess = sess.run(output)
         guess_im = imgrid(imconvert_uint8(phi_guess), cols=1)
         fp_out_im = join(app_cfg.DIR_OUTPUTS, fp_frames, 'frame_{:04d}.png'.format(int(i / opt_snapshot_interval)))
-        print(fp_out_im)
         imwrite(fp_out_im, guess_im)
   except KeyboardInterrupt:
     pass
@@ -218,7 +218,7 @@ def load_target_image(opt_fp_in):
   print("Loading {}".format(opt_fp_in))
   fn = os.path.basename(opt_fp_in)
   fn_base, ext = os.path.splitext(fn)
-  fp_frames = "frames_{}_{}".format(fn_base, int(time.time() * 1000))
+  fp_frames = "frames_{}_{}".format(fn_base, timestamp())
   fp_frames_fullpath = join(app_cfg.DIR_OUTPUTS, fp_frames)
   print("Output to {}".format(fp_frames_fullpath))
   os.makedirs(fp_frames_fullpath, exist_ok=True)