Update README.md

README.md

@@ -47,22 +47,32 @@ The choice depends on whether you need to download full length videos and/or you
 ## Example
 The data can either be downloaded or [streamed](https://huggingface.co/docs/datasets/stream).
 
-
+### Downloaded
 ```python
 from datasets import load_dataset
 from torchvision.io import read_video
 
 config = 'no-full' # ['all', 'no-full', 'has-masks', 'full-masks']
-# Either download or stream the files
-streaming = True
-if streaming:
-    dataset = load_dataset("AlexBlck/ANAKIN", streaming=True)
-else:
-    dataset = load_dataset("AlexBlck/ANAKIN", config, nproc=8)
+dataset = load_dataset("AlexBlck/ANAKIN", config, nproc=8)
 
 for sample in dataset['train']: # ['train', 'validation', 'test']
     trimmed_video, trimmed_audio, _ = read_video(sample['trimmed'], output_format="TCHW")
     edited_video, edited_audio, _ = read_video(sample['edited'], output_format="TCHW")
     masks = sample['masks']
     print(sample.keys())
+```
+
+### Streamed
+```python
+from datasets import load_dataset
+import cv2
+
+dataset = load_dataset("AlexBlck/ANAKIN", streaming=True)
+
+sample = next(iter(dataset['train'])) # ['train', 'validation', 'test']
+cap = cv2.VideoCapture(sample['trimmed'])
+
+while(cap.isOpened()):
+    ret, frame = cap.read()
+    # ...
 ```