Update README.md

README.md

@@ -45,40 +45,10 @@ Please review the full license terms at: https://waymo.com/open/terms
 
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-### 📌 Set-Up
-#### Installation:
-
-```
-pip install torch==2.6.0 torchvision==0.21.0 torchaudio==2.6.0 --index-url https://download.pytorch.org/whl/cu124
-pip install -r requirements.txt
-``` 
-
-Download the raw images of Ego3D-Bench from https://huggingface.co/datasets/vbdai/Ego3D-Bench and put unzip the images in this directory ```Ego3D-Bench/images```
-
----
-
 
 ### 📌 Benchmarking on Ego3D-Bench:
-We have scripts to benchmark internvl3 and Qwen2.5-vl families. Other families of models will be added soon! Give the path of baseline model as ```--model_path``` in the below scripts.
-``` 
-bash scripts/internvl3.sh
-bash script/qwen_2.5_vl.sh
-```
 
----
-
-
-### 📌 Using Ego3D-VLM:
-#### Downlaods: 
-- Grounding-Dino: https://huggingface.co/IDEA-Research/grounding-dino-base
-- DepthAnyThing-V2-Metric: https://huggingface.co/depth-anything/Depth-Anything-V2-Metric-Outdoor-Large-hf
-
-We have scripts to use ego3dvlm with internvl3 and Qwen2.5-vl families. Other families of models will be added soon! Add the path of grounding_dino checkpoint as ```--rec_model_path``` and the path of DepthAnyThing-V2-Metric as ```--depth_model_path```.
-
-``` 
-bash scripts/internvl3_ego3dvlm.sh
-bash script/qwen_2.5_vl_ego3dvlm.sh
-```
+Refer to the GitHub page (https://github.com/vbdi/Ego3D-Bench) to perform benchmarking using this dataset.
 
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