From dd4c5141b75e4838dd486c64f773c43b4db3a07b Mon Sep 17 00:00:00 2001
From: rentainhe <596106517@qq.com>
Date: Mon, 9 Dec 2024 11:35:16 +0800
Subject: [PATCH] update README

---
 README.md | 22 ++++++++++++++--------
 1 file changed, 14 insertions(+), 8 deletions(-)

diff --git a/README.md b/README.md
index 098b50f..9ed5eba 100644
--- a/README.md
+++ b/README.md
@@ -8,7 +8,7 @@
 
 [![Video Name](./assets/grounded_sam_2_intro.jpg)](https://github.com/user-attachments/assets/f0fb0022-779a-49fb-8f46-3a18a8b4e893)
 
-**🔥 Project Highlight**
+## Highlights
 
  Grounded SAM 2 is a foundation model pipeline towards grounding and track anything in Videos with [Grounding DINO](https://arxiv.org/abs/2303.05499), [Grounding DINO 1.5](https://arxiv.org/abs/2405.10300), [Florence-2](https://arxiv.org/abs/2311.06242), [DINO-X](https://arxiv.org/abs/2411.14347) and [SAM 2](https://arxiv.org/abs/2408.00714).
 
@@ -21,13 +21,19 @@ Grounded SAM 2 does not introduce significant methodological changes compared to
 
 ## Latest updates
 
-- `2024/12/02`: Support **DINO-X with SAM 2** demos (including object segmentation and tracking), please install the latest version of `dds-cloudapi-sdk==0.3.3` and refer to [Grounded SAM 2 (with DINO-X)](#grounded-sam-2-image-demo-with-dino-x) and [Grounded SAM 2 Video (with DINO-X)](#grounded-sam-2-video-object-tracking-demo-with-custom-video-input-with-dino-x) for more details.
-- `2024/10/24`: Support [SAHI (Slicing Aided Hyper Inference)](https://docs.ultralytics.com/guides/sahi-tiled-inference/) on Grounded SAM 2 (with Grounding DINO 1.5) which may be helpful for inferencing high resolution image with dense small objects (e.g. **4K** images).
-- `2024/10/10`: Support `SAM-2.1` models, if you want to use `SAM 2.1` model, you need to update to the latest code and reinstall SAM 2 follow [SAM 2.1 Installation](https://github.com/facebookresearch/sam2?tab=readme-ov-file#latest-updates).
-- `2024/08/31`: Support `dump json results` in Grounded SAM 2 Image Demos (with Grounding DINO).
-- `2024/08/20`: Support **Florence-2 SAM 2 Image Demo** which includes `dense region caption`, `object detection`, `phrase grounding`, and cascaded auto-label pipeline `caption + phrase grounding`.
-- `2024/08/09`: Support **Ground and Track New Object** throughout the whole videos. This feature is still under development now. Credits to [Shuo Shen](https://github.com/ShuoShenDe).
-- `2024/08/07`: Support **Custom Video Inputs**, users need only submit their video file (e.g. `.mp4` file) with specific text prompts to get an impressive demo videos.
+- **2024.12.02**: Support **DINO-X with SAM 2** demos (including object segmentation and tracking), please install the latest version of `dds-cloudapi-sdk==0.3.3` and refer to [Grounded SAM 2 (with DINO-X)](#grounded-sam-2-image-demo-with-dino-x) and [Grounded SAM 2 Video (with DINO-X)](#grounded-sam-2-video-object-tracking-demo-with-custom-video-input-with-dino-x) for more details.
+
+- **2024.10.24**: Support [SAHI (Slicing Aided Hyper Inference)](https://docs.ultralytics.com/guides/sahi-tiled-inference/) on Grounded SAM 2 (with Grounding DINO 1.5) which may be helpful for inferencing high resolution image with dense small objects (e.g. **4K** images).
+
+- **2024.10.10**: Support `SAM-2.1` models, if you want to use `SAM 2.1` model, you need to update to the latest code and reinstall SAM 2 follow [SAM 2.1 Installation](https://github.com/facebookresearch/sam2?tab=readme-ov-file#latest-updates).
+
+- **2024.08.31**: Support `dump json results` in Grounded SAM 2 Image Demos (with Grounding DINO).
+
+- **2024.08.20**: Support **Florence-2 SAM 2 Image Demo** which includes `dense region caption`, `object detection`, `phrase grounding`, and cascaded auto-label pipeline `caption + phrase grounding`.
+
+- **2024.08.09**: Support **Ground and Track New Object** throughout the whole videos. This feature is still under development now. Credits to [Shuo Shen](https://github.com/ShuoShenDe).
+
+- **2024.08.07**: Support **Custom Video Inputs**, users need only submit their video file (e.g. `.mp4` file) with specific text prompts to get an impressive demo videos.
 
 ## Contents
 - [Installation](#installation)