From c022648bf9718ce6e1e24fd58ce97e19719262a3 Mon Sep 17 00:00:00 2001
From: Lin-Zhuo Chen <lin_zhuo_chen@163.com>
Date: Mon, 20 Apr 2026 23:38:56 +0800
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 12d0551..e662e22 100644
--- a/README.md
+++ b/README.md
@@ -128,7 +128,6 @@ python demo.py --model_path /path/to/lingbot-map-long.pt \
 <img width="200" height="113" alt="output_pointcloud_original" src="https://github.com/user-attachments/assets/a3ead57d-fe56-4ca9-9fa0-ae0e6dbc23f7" />
 <img width="480" height="325" alt="output_pointcloud_cropped" src="https://github.com/user-attachments/assets/42ae2ff4-9026-4879-a709-1ea98475ee1d" />
 
-We will provide more examples in the follow-up.
 
 ### Streaming Inference from Images
 
@@ -144,6 +143,7 @@ python demo.py --model_path /path/to/checkpoint.pt \
     --video_path video.mp4 --fps 10
 ```
 
+We will provide more examples in the follow-up.
 ### Streaming with Keyframe Interval
 
 Use `--keyframe_interval` to reduce KV cache memory by only keeping every N-th frame as a keyframe. Non-keyframe frames still produce predictions but are not stored in the cache. This is useful for long sequences which exceed 320 frames (We train with video RoPE on 320 views, so performance degrades when the KV cache stores more than 320 views. Using a keyframe strategy allows inference over longer sequences.).