update README

README.md

@@ -13,12 +13,40 @@ size_categories:
 
 # TrackingNet devkit
 
+
+## Download from HuggingFace
+
+```python
+from huggingface_hub import hf_hub_download
+from huggingface_hub import HfApi
+from huggingface_hub import login
+
+# Login
+login(token = <YOUR_TOKEN>) # https://huggingface.co/settings/tokens -> Create new token
+
+# List files
+api = HfApi()
+files = api.list_repo_files(repo_id="SilvioGiancola/TrackingNet", repo_type="dataset")
+
+# [Optional] Filter files for "TRAIN_0" spliut only
+files = [file for file in files if "TRAIN_0/" in file]
+
+# Download all files from the list
+for file in files: 
+    hf_hub_download(repo_id="SilvioGiancola/TrackingNet", filename=file, repo_type="dataset", local_dir="TrackingNet_HF")
+
+# Download zipped TEST set
+hf_hub_download(repo_id="SilvioGiancola/TrackingNet", filename="TEST.zip", repo_type="dataset", local_dir="TrackingNet_HF")
+
+```
+
+## TrackingNet pip package
 ```bash
 conda create -n TrackingNet python pip
 pip install TrackingNet
 ```
 
-## Utility functions for TrackingNet
+### Utility functions for TrackingNet
 
 ```python
 from TrackingNet.utils import getListSplit
@@ -36,7 +64,7 @@ print(getListSequence(split=["TRAIN_0", "TRAIN_1"])) # return list of tracking s
 print(getListSequence(split="TRAIN")) # return list of tracking sequences for al train splits
 ```
 
-## Downloading TrackingNet
+### Downloading TrackingNet
 
 ```python
 from TrackingNet.Downloader import TrackingNetDownloader
@@ -47,4 +75,5 @@ downloader = TrackingNetDownloader(LocalDirectory="path/to/TrackingNet")
 
 for split in getListSplit():
     downloader.downloadSplit(split)
-```
+```
+