Segment Anything Howto
Segment Anything is a promptable AI model developed by Meta AI that can segment any object in any image with zero-shot generalization capabilities.
View MoreHow to Use Segment Anything
Install Segment Anything: Clone the GitHub repository and install the package using pip: git clone [email protected]:facebookresearch/segment-anything.git; cd segment-anything; pip install -e .
Download model checkpoint: Download a pre-trained model checkpoint from the Segment Anything GitHub repository.
Import required modules: Import the necessary modules: from segment_anything import sam_model_registry, SamAutomaticMaskGenerator, SamPredictor
Load the model: Load the SAM model using the checkpoint: sam = sam_model_registry['<model_type>'](checkpoint='<path/to/checkpoint>')
Prepare input image: Load and preprocess your input image: image = cv2.imread('<image_path>'); image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
Generate masks: Use SamAutomaticMaskGenerator to generate masks: mask_generator = SamAutomaticMaskGenerator(sam); masks = mask_generator.generate(image)
Provide prompts (optional): For more precise segmentation, provide prompts like points or boxes to guide the model: predictor = SamPredictor(sam); predictor.set_image(image); masks, _, _ = predictor.predict(<input_point>, <input_label>)
Visualize results: Use matplotlib or other visualization tools to display the generated masks on the original image
Segment Anything FAQs
The Segment Anything Model (SAM) is an AI model developed by Meta AI for image segmentation. It can segment any object in an image based on various input prompts like points or boxes, without requiring additional training. SAM is designed for zero-shot generalization to new objects and images.
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