update visualization func
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@@ -29,7 +29,7 @@ if torch.cuda.get_device_properties(0).major >= 8:
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sam2_checkpoint = "./checkpoints/sam2_hiera_large.pt"
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model_cfg = "sam2_hiera_l.yaml"
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device = "cuda" if torch.cuda.is_available() else "cpu"
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print("device",device)
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print("device", device)
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video_predictor = build_sam2_video_predictor(model_cfg, sam2_checkpoint)
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sam2_image_model = build_sam2(model_cfg, sam2_checkpoint, device=device)
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@@ -189,10 +189,9 @@ for start_frame_idx in range(0, len(frame_names), step):
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json.dump(json_data, f)
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"""
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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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CommonUtils.draw_masks_and_box_with_supervision(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=30)
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