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12
README.md
12
README.md
@@ -253,28 +253,28 @@ Integrate `Florence-2` with `SAM-2`, we can build a strong vision pipeline to so
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**Object Detection and Segmentation**
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```bash
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python grounded_sam2_image_demo_florence2.py \
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python grounded_sam2_florence2_image_demo.py \
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--pipeline object_detection_segmentation \
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--image_path ./notebooks/images/cars.jpg
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```
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**Dense Region Caption and Segmentation**
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```bash
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python grounded_sam2_image_demo_florence2.py \
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python grounded_sam2_florence2_image_demo.py \
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--pipeline dense_region_caption_segmentation \
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--image_path ./notebooks/images/cars.jpg
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```
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**Region Proposal and Segmentation**
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```bash
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python grounded_sam2_image_demo_florence2.py \
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python grounded_sam2_florence2_image_demo.py \
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--pipeline region_proposal_segmentation \
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--image_path ./notebooks/images/cars.jpg
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```
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**Phrase Grounding and Segmentation**
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```bash
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python grounded_sam2_image_demo_florence2.py \
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python grounded_sam2_florence2_image_demo.py \
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--pipeline phrase_grounding_segmentation \
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--image_path ./notebooks/images/cars.jpg \
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--text_input "The image shows two vintage Chevrolet cars parked side by side, with one being a red convertible and the other a pink sedan, \
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@@ -284,7 +284,7 @@ python grounded_sam2_image_demo_florence2.py \
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**Referring Expression Segmentation**
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```bash
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python grounded_sam2_image_demo_florence2.py \
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python grounded_sam2_florence2_image_demo.py \
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--pipeline referring_expression_segmentation \
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--image_path ./notebooks/images/cars.jpg \
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--text_input "The left red car."
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@@ -292,7 +292,7 @@ python grounded_sam2_image_demo_florence2.py \
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**Open-Vocabulary Detection and Segmentation**
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```bash
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python grounded_sam2_image_demo_florence2.py \
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python grounded_sam2_florence2_image_demo.py \
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--pipeline open_vocabulary_detection_segmentation \
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--image_path ./notebooks/images/cars.jpg \
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--text_input "two cars"
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