remove video generation

app.py

@@ -217,7 +217,7 @@ def _make3d(output_queue: SimpleQueue, images: Image.Image):
     print(f'type(images)={type(images)}')
     global model
     if IS_FLEXICUBES:
-        model.init_flexicubes_geometry(device, use_renderer=True)
+        model.init_flexicubes_geometry(device, use_renderer=False)
     model = model.eval()
 
     images = np.asarray(images, dtype=np.float32) / 255.0
@@ -245,30 +245,27 @@ def _make3d(output_queue: SimpleQueue, images: Image.Image):
         planes = model.forward_planes(images, input_cameras)
         print(f'type(planes)={type(planes)}')
 
-        # # get video
-        chunk_size = 20 if IS_FLEXICUBES else 1
-        render_size = 384
+        # get video
+        # chunk_size = 20 if IS_FLEXICUBES else 1
+        # render_size = 384
 
-        print(f'IS_FLEXICUBES={IS_FLEXICUBES}')
         
         # 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)
+        # 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']
+
+        #     frames.append(frame)
 
         # frames = torch.cat(frames, dim=1)