Update README.md

README.md

@@ -6,4 +6,40 @@ configs:
     data_files: "clips/*.tar"
   - config_name: frames
     data_files: "frames/*.tar"
----
+---
+## Example usage for clips:
+### Also decoding raw binary video data and json
+```python
+import webdataset as wds
+from huggingface_hub import HfFileSystem, get_token, hf_hub_url
+import json
+import io
+import torch
+import av 
+import numpy as np
+from torch.utils.data import DataLoader
+
+fs = HfFileSystem()
+files = [fs.resolve_path(path) for path in fs.glob("hf://datasets/niranjangaurav17/grounding-YT-dataset/clips/*.tar")]
+urls = [hf_hub_url(file.repo_id, file.path_in_repo, repo_type="dataset") for file in files]
+urls = f"pipe: curl -s -L -H 'Authorization:Bearer {get_token()}' {'::'.join(urls)}"
+
+def load_video(video_bytes):
+    container = av.open(io.BytesIO(video_bytes))
+    frames = []
+    for frame in container.decode(video=0):
+        img = frame.to_ndarray(format="rgb24")
+        frames.append(img)
+    video_tensor = torch.from_numpy(np.stack(frames))
+    return video_tensor #[T, H, W, C]
+
+def load_json(json_bytes):
+    """Decode JSON metadata"""
+    return json.loads(json_bytes.decode("utf-8"))
+
+dataset = (
+    wds.WebDataset(urls,)
+    .shuffle(100)
+    .to_tuple("mp4", "json")
+    .map_tuple(load_video, load_json)
+)