log every 10 frames

app.py

@@ -57,10 +57,11 @@ def run_rerun(path_to_video):
 
     print("Loading video from", path_to_video)
     video = cv2.VideoCapture(path_to_video)
-    frame_idx = 0
+    frame_idx = -1
     while True:
         read, frame = video.read()
-        if not read:
+        frame_idx += 1
+        if not read or frame_idx % 10 != 0:
             break
 
         frame = cv2.resize(frame, (320, 240))
@@ -68,6 +69,7 @@ def run_rerun(path_to_video):
 
         rr.set_time_sequence("frame", frame_idx)
         rr.log("world/camera/image", rr.Image(frame))
+
         yield stream.read()
 
         depth, focal_length = estimate_depth(frame)
@@ -105,17 +107,12 @@ def estimate_depth(frame):
 
 
 with gr.Blocks() as demo:
-    video = gr.Video(interactive=True, label="Video")
+    video = gr.Video(interactive=True, include_audio=False, label="Video")
     visualize = gr.Button("Visualize ML Depth Pro")
 
     with gr.Row():
         viewer = Rerun(
             streaming=True,
-            panel_states={
-                "time": "collapsed",
-                "blueprint": "hidden",
-                "selection": "hidden",
-            },
         )
         visualize.click(run_rerun, inputs=[video], outputs=[viewer])