refine README
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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 = 10 # the step to sample frames for groundedDino predictor
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step = 25 # 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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@@ -195,4 +195,4 @@ Step 6: Draw the results and save the video
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"""
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CommonUtils.draw_masks_and_box(video_dir, mask_data_dir, json_data_dir, result_dir)
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create_video_from_images(result_dir, output_video_path, frame_rate=15)
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create_video_from_images(result_dir, output_video_path, frame_rate=30)
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