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rentainhe
2024-08-09 09:36:03 +08:00
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@@ -21,6 +21,7 @@ Grounded SAM 2 does not introduce significant methodological changes compared to
- [Grounded SAM 2 Video Object Tracking Demo (with Grounding DINO 1.5 & 1.6)](#grounded-sam-2-video-object-tracking-demo-with-grounding-dino-15--16)
- [Grounded SAM 2 Video Object Tracking with Custom Video Input (using Grounding DINO)](#grounded-sam-2-video-object-tracking-demo-with-custom-video-input-with-grounding-dino)
- [Grounded SAM 2 Video Object Tracking with Custom Video Input (using Grounding DINO 1.5 & 1.6)](#grounded-sam-2-video-object-tracking-demo-with-custom-video-input-with-grounding-dino-15--16)
- [Grounded SAM 2 Video Object Tracking with Continues ID (using Grounding DINO)](#grounded-sam-2--video-object-tracking-with-continuous-id-with-grounding-dino)
- [Citation](#citation)
@@ -167,7 +168,10 @@ And we will automatically save the tracking visualization results in `OUTPUT_VID
> [!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.
### Grounded-SAM-2 Video Object Tracking with Continuous ID (with Grounding DINO)
### Grounded-SAM-2 Video Object Tracking with Continuous ID (with Grounding DINO)
In above demos, we only prompt Grounded SAM 2 in specific frame, which may not be friendly to find new object during the whole video. In this demo, we try to **find new objects** and assign them with new ID across the whole video, this function is **still under develop**. it's not that stable now.
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:
@@ -186,12 +190,8 @@ You can customize various parameters including:
- `text_threshold`: text threshold for groundingdino model
Note: This method supports only the mask type of text prompt.
The demo video is:
[![car tracking demo data](./assets/tracking_car_1.jpg)](./assets/tracking_car.mp4)
After running our demo code, you can get the tracking results as follows:
[![car tracking result data](./assets/tracking_car_mask_1.jpg)](./assets/tracking_car_output.mp4)
[![car tracking result data](./assets/tracking_car_mask_1.jpg)](https://github.com/user-attachments/assets/141594a2-1451-4d2e-a91b-7941284c2c13)
### Citation