skip generation of video

app.py

@@ -245,26 +245,26 @@ def _make3d(output_queue: SimpleQueue, images: Image.Image):
         print(f'type(planes)={type(planes)}')
 
         # # get video
-        chunk_size = 20 if IS_FLEXICUBES else 1
-        render_size = 384
+        # chunk_size = 20 if IS_FLEXICUBES else 1
+        # render_size = 384
         
-        # frames = []
-        for i in tqdm(range(0, render_cameras.shape[1], chunk_size)):
-            if IS_FLEXICUBES:
-                frame = model.forward_geometry(
-                    planes,
-                    render_cameras[:, i:i+chunk_size],
-                    render_size=render_size,
-                )['img']
-            else:
-                frame = model.synthesizer(
-                    planes,
-                    cameras=render_cameras[:, i:i+chunk_size],
-                    render_size=render_size,
-                )['images_rgb']
-
-            print(f'type(frame)={type(frame)}')
-            output_queue.put(("log", "3dvideo", rr.Image(frame)))
+        # # frames = []
+        # for i in tqdm(range(0, render_cameras.shape[1], chunk_size)):
+        #     if IS_FLEXICUBES:
+        #         frame = model.forward_geometry(
+        #             planes,
+        #             render_cameras[:, i:i+chunk_size],
+        #             render_size=render_size,
+        #         )['img']
+        #     else:
+        #         frame = model.synthesizer(
+        #             planes,
+        #             cameras=render_cameras[:, i:i+chunk_size],
+        #             render_size=render_size,
+        #         )['images_rgb']
+
+        #     print(f'type(frame)={type(frame)}')
+        #     output_queue.put(("log", "3dvideo", rr.Image(frame)))
             # frames.append(frame)
 
         # frames = torch.cat(frames, dim=1)