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rentainhe
2024-08-14 16:00:12 +08:00
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README.md
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@@ -19,7 +19,7 @@ Grounded SAM 2 does not introduce significant methodological changes compared to
## Contents
- [Installation](#installation)
- [Grounded SAM 2 Demo](#grounded-sam-2-demos)
- [Grounded SAM 2 Demos](#grounded-sam-2-demos)
- [Grounded SAM 2 Image Demo](#grounded-sam-2-image-demo-with-grounding-dino)
- [Grounded SAM 2 Image Demo (with Grounding DINO 1.5 & 1.6)](#grounded-sam-2-image-demo-with-grounding-dino-15--16)
- [Grounded SAM 2 Video Object Tracking Demo](#grounded-sam-2-video-object-tracking-demo)
@@ -27,6 +27,8 @@ Grounded SAM 2 does not introduce significant methodological changes compared to
- [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)
- [Grounded SAM 2 Florence-2 Demos](#grounded-sam-2-florence-2-demos)
- [Grounded SAM 2 Florence-2 Image Demo](#grounded-sam-2-florence-2-image-demo)
- [Citation](#citation)
@@ -221,6 +223,11 @@ If you want to try `Grounding DINO 1.5` model, you can run the following scripts
python grounded_sam2_tracking_demo_with_continuous_id_gd1.5.py
```
## Grounded SAM 2 Florence-2 Demos
### Grounded SAM 2 Florence-2 Image Demo
In this section, we will explore how to integrate the feature-rich and robust open-source models [Florence-2](https://arxiv.org/abs/2311.06242) and SAM 2 to develop practical applications.
### Citation
If you find this project helpful for your research, please consider citing the following BibTeX entry.

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grounded_sam2_image_demo_florence2.py
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@@ -173,7 +173,7 @@ def object_detection_and_segmentation(
if __name__ == "__main__":
image_path = "/comp_robot/rentianhe/code/Grounded-SAM-2/notebooks/images/groceries.jpg"
image_path = "./notebooks/images/groceries.jpg"
# pipeline-1: detection + segmentation
object_detection_and_segmentation(