update README.md (#5)

- update README.md (7cdfeb0dc655f3b629d27208141406a0331ec592)


Co-authored-by: Chun-Hsiao Yeh <[email protected]>

README.md

@@ -53,7 +53,24 @@ $ git lfs clone https://huggingface.co/datasets/ch-chenyu/All-Angles-Bench
 
 2. **Download Ego4D-Exo dataset and extract the frames for the benchmark scenes:**
 
-We provide the image files for the EgoHumans dataset. For the Ego-Exo4D dataset, due to licensing restrictions, you will need to first sign the license agreement from the official Ego-Exo4D repository at https://ego4ddataset.com/egoexo-license/. After signing the license, you can download the dataset (`downscaled_takes/448`) and then use the preprocessing scripts to extract the corresponding images.
+We provide the image files for the EgoHumans dataset. For the Ego-Exo4D dataset, due to licensing restrictions, you will need to first sign the license agreement from the official Ego-Exo4D repository at https://ego4ddataset.com/egoexo-license/. After signing the license, you would get `Access ID` and `Access Key` via email. Then follow the steps below to set up access:
+
+```bash
+$ pip install awscli
+$ aws configure
+```
+
+When prompted, enter the following:
+
+```bash
+AWS Access Key ID [None]: your Access ID
+AWS Secret Access Key [None]: your Access Key
+Default region name [None]: us-west-2
+Default output format [None]: json
+
+```
+
+Once configured, run the following to download the dataset (`downscaled_takes/448`) from this [page](https://docs.ego-exo4d-data.org/download/#setup-aws-client), and then use the preprocessing scripts to extract the corresponding images.
 
 ```bash
 $ pip install ego4d --upgrade