refine video
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@@ -197,7 +197,7 @@ Note: This method supports only the mask type of text prompt.
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After running our demo code, you can get the tracking results as follows:
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[](https://github.com/user-attachments/assets/d4b80e9b-bab3-4562-8b1a-9bf41e454b68)
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[](https://github.com/user-attachments/assets/d3f91ad0-3d32-43c4-a0dc-0bed661415f4)
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### Citation
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@@ -68,7 +68,7 @@ frame_names.sort(key=lambda p: int(os.path.splitext(p)[0]))
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# init video predictor state
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inference_state = video_predictor.init_state(video_path=video_dir)
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step = 25 # the step to sample frames for Grounding DINO predictor
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step = 10 # the step to sample frames for Grounding DINO predictor
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sam2_masks = MaskDictionatyModel()
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PROMPT_TYPE_FOR_VIDEO = "mask" # box, mask or point
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