Update README.md

README.md

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 #### News
 
-- **2023.04.15 :** We merge OSX into [Grounded-SAM](https://github.com/IDEA-Research/Grounded-Segment-Anything)  and support promptable 3D whole-body mesh recovery.🔥
+- **2023.04.15 :** We merge OSX into [Grounded-SAM](https://github.com/IDEA-Research/Grounded-Segment-Anything)  and support promptable 3D whole-body mesh recovery. 🔥  
+- **2023.04.17 :** We fix bug of rendering in A100/V100  and support yolov5 as a person detector in demo.py. :rocket: 
 
 <p align="middle">
 <img src="assets/grouned_sam_osx_demo.gif" width="1000">
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 | :---------------------------------------------------: |
 |               *A man with a sunglasses*               |
 
-## 
-
 ## 1. Introduction  
 
 This repo is official **[PyTorch](https://pytorch.org)** implementation of [One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer (CVPR2023)](https://osx-ubody.github.io/). We propose the first one-stage whole-body mesh recovery method (OSX) and build a large-scale upper-body dataset (UBody). It is the top-1 method on [AGORA benchmark](https://agora-evaluation.is.tuebingen.mpg.de/) SMPL-X Leaderboard (dated March 2023).
@@ -59,8 +58,7 @@ This repo is official **[PyTorch](https://pytorch.org)** implementation of [One-
 * Download the pre-trained OSX from [here](https://drive.google.com/drive/folders/1x7MZbB6eAlrq5PKC9MaeIm4GqkBpokow?usp=share_link).
 * Prepare `input.png` and pre-trained snapshot at `demo` folder.
 * Prepare `human_model_files` folder following below `Directory` part and place it at `common/utils/human_model_files`.
-* Go to any of `main` folders and edit `bbox` of `demo.py` .
-* Run `python demo.py --gpu 0`.
+* Go to `demo` folders, and run `python demo.py --gpu 0 --img_path IMG_PATH --output_folder OUTPUT_FOLDER `. Please replace `IMG_PATH` and `OUTPUT_FOLDRE` with your own image path and saving folder. 
 * If you run this code in ssh environment without display device, do follow:
 ```
 1、Install oemesa follow https://pyrender.readthedocs.io/en/latest/install/