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@@ -167,6 +167,26 @@ And we will automatically save the tracking visualization results in `OUTPUT_VID
> [!WARNING] > [!WARNING]
> We initialize the box prompts on the first frame of the input video. If you want to start from different frame, you can refine `ann_frame_idx` by yourself in our code. > We initialize the box prompts on the first frame of the input video. If you want to start from different frame, you can refine `ann_frame_idx` by yourself in our code.
### Grounded-SAM-2 Video Object Tracking with Continuous ID (with Grounding DINO)
Users can upload their own video files and specify custom text prompts for grounding and tracking using the Grounding DINO and SAM 2 frameworks. To do this, execute the script:
```python
grounded_sam2_tracking_demo_with_continuous_id.py
```
You can customize various parameters including:
- `text`: The grounding text prompt.
- `video_dir`: Directory containing the video files.
- `output_dir`: Directory to save the processed output.
- `output_video_path`: Path for the output video.
- `step`: Frame stepping for processing.
- `box_threshold`: box threshold for groundingdino model
- `text_threshold`: text threshold for groundingdino model
Note: This method supports only the mask type of text prompt.
### Citation ### Citation
If you find this project helpful for your research, please consider citing the following BibTeX entry. If you find this project helpful for your research, please consider citing the following BibTeX entry.