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							@ -127,8 +127,14 @@ from sam2.sam2_video_predictor import SAM2VideoPredictor
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predictor = SAM2VideoPredictor.from_pretrained("facebook/sam2-hiera-large")
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with torch.inference_mode(), torch.autocast("cuda", dtype=torch.bfloat16):
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    predictor.set_image(<your_image>)
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    masks, _, _ = predictor.predict(<input_prompts>)
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    state = predictor.init_state(<your_video>)
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    # add new prompts and instantly get the output on the same frame
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    frame_idx, object_ids, masks = predictor.add_new_points(state, <your_prompts>):
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    # propagate the prompts to get masklets throughout the video
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    for frame_idx, object_ids, masks in predictor.propagate_in_video(state):
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        ...
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```
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## Model Description
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