add instruction about masking

2025-03-22 18:09:30 +00:00
parent ae1b9c8750
commit a16b0760f6
1 changed files with 2 additions and 1 deletions
@@ -109,7 +109,8 @@ with torch.no_grad():
    track_list, vis_score, conf_score = model.track_head(aggregated_tokens_list, images, ps_idx, query_points=query_points[None])
 ```

-Furthermore, if certain pixels in the input frames are unwanted (e.g., sea, glass), you can mask them by setting the corresponding pixel values to 0 or 1, and then pass the masked images to the model.
+
+Furthermore, if certain pixels in the input frames are unwanted (e.g., reflective surfaces, sky, or water), you can simply mask them by setting the corresponding pixel values to 0 or 1. Precise segmentation masks aren't necessary - simple bounding box masks work effectively (check this [issue](https://github.com/facebookresearch/vggt/issues/47) for an example).


 ## Visualization