upload video script

3 files changed, 14 insertions, 14 deletions

diff --git a/cli/app/search/live.py b/cli/app/search/live.py
index b09575d..4c66873 100644
--- a/cli/app/search/live.py
+++ b/cli/app/search/live.py
@@ -374,6 +374,8 @@ class Listener:
     interpolator.build()
     self.rpc_client.send_status('processing', True)
     tag = "biggan_" + timestamp()
+    path_out = os.path.join(app_cfg.RESULTS_DIR, tag)
+    os.makedirs(path_out, exist_ok=True)
     dt = 1 / FPS
     for i in range(99999):
       if i == 0:
@@ -386,12 +388,10 @@ class Listener:
         print("Exiting...")
         break
       if (i % 100) == 0 or i == 1:
-        # print(gen_images.shape)
         print("Step {}. Generation time: {:.2f}s".format(i, time.time() - gen_time))
       out_img = vs.data2pil(gen_images[0])
       if out_img is not None:
-        # save image
-        #if out_img.resize_before_sending:
+        out_img.save(os.path.join(path_out, "image_{:5d}.png".format(i)), format='png')
         img_to_send = out_img.resize((256, 256), Image.BICUBIC)
         meta = {
           'i': i,
diff --git a/cli/app/search/search_dense.py b/cli/app/search/search_dense.py
index 3719de6..ac67d07 100644
--- a/cli/app/search/search_dense.py
+++ b/cli/app/search/search_dense.py
@@ -240,18 +240,18 @@ def find_dense_embedding_for_images(params):
     feat_loss += tf.reduce_mean(feat_square_diff) * 0.25
     img_feat_err += tf.reduce_mean(feat_square_diff, axis=1) * 0.25
 
-    # gen_feat = gen_feat_ex["InceptionV3/Conv2d_3b_1x1"]
-    # target_feat = target_feat_ex["InceptionV3/Conv2d_3b_1x1"]
-    # feat_square_diff = tf.reshape(tf.square(gen_feat - target_feat), [BATCH_SIZE, -1])
-    # feat_loss += tf.reduce_mean(feat_square_diff) * 0.25
-    # img_feat_err += tf.reduce_mean(feat_square_diff, axis=1) * 0.25
-
-    gen_feat = gen_feat_ex["InceptionV3/Mixed_6a"]
-    target_feat = target_feat_ex["InceptionV3/Mixed_6a"]
+    gen_feat = gen_feat_ex["InceptionV3/Conv2d_3b_1x1"]
+    target_feat = target_feat_ex["InceptionV3/Conv2d_3b_1x1"]
     feat_square_diff = tf.reshape(tf.square(gen_feat - target_feat), [BATCH_SIZE, -1])
     feat_loss += tf.reduce_mean(feat_square_diff) * 0.25
     img_feat_err += tf.reduce_mean(feat_square_diff, axis=1) * 0.25
 
+    # gen_feat = gen_feat_ex["InceptionV3/Mixed_6a"]
+    # target_feat = target_feat_ex["InceptionV3/Mixed_6a"]
+    # feat_square_diff = tf.reshape(tf.square(gen_feat - target_feat), [BATCH_SIZE, -1])
+    # feat_loss += tf.reduce_mean(feat_square_diff) * 0.25
+    # img_feat_err += tf.reduce_mean(feat_square_diff, axis=1) * 0.25
+
     gen_feat = gen_feat_ex["InceptionV3/Mixed_7a"]
     target_feat = target_feat_ex["InceptionV3/Mixed_7a"]
     feat_square_diff = tf.reshape(tf.square(gen_feat - target_feat), [BATCH_SIZE, -1])
diff --git a/cli/app/search/video.py b/cli/app/search/video.py
index d8e3f3f..14d84b4 100644
--- a/cli/app/search/video.py
+++ b/cli/app/search/video.py
@@ -19,7 +19,7 @@ def export_video(fp_frames, fps=30):
   call(cmd)
   shutil.rmtree(os.path.join(app_cfg.DIR_OUTPUTS, fp_frames))
 
-def export_video_final(fp_frames, fps=25):
+def export_video_final(fp_frames, fp_out, fps=25):
   print("Exporting video...")
   cmd = [
     '/home/lens/bin/ffmpeg',
@@ -33,8 +33,8 @@ def export_video_final(fp_frames, fps=25):
     '-vf', 'fps=25',
     '-pix_fmt', 'yuv420p',
     '-s', '512x512',
-    os.path.join(app_cfg.DIR_RENDERS, fp_frames + '.mp4')
+    fp_out
   ]
   # print(' '.join(cmd))
   call(cmd)
-  # shutil.rmtree(os.path.join(app_cfg.DIR_OUTPUTS, fp_frames))
+  return fp_out