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37 lines
1.5 KiB
Markdown
37 lines
1.5 KiB
Markdown
## Visualization
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Before visualization, you need to change ``save_semantic``, ``save_pt_offsets``, ``save_instance`` to True in the config file and run the inference to write the output predictions.
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There are two options for visualization:
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- Visualization using through a pop-up using open3D (default). Prerequisite: ``pip install open3D==0.8.0``
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- Write point clouds to ``.ply`` file then use an visualization application such as [MeshLab](https://www.meshlab.net/) to see the results. Just pass the arg ``--out YOUR_FILE.ply`` to enable this option.
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After inference, run visualization by execute the following command
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```
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python visualization.py --dataset {} --prediction_path --split {} --scene_name {} --task {} --out {}
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usage: visualization.py [-h] [--dataset {scannet,s3dis}]
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[--prediction_path PREDICTION_PATH]
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[--data_split DATA_SPLIT] [--room_name ROOM_NAME]
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[--task TASK] [--out OUT]
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optional arguments:
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--dataset {scannet,s3dis}
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dataset for visualization
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--prediction_path PREDICTION_PATH
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path to the prediction results
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--data_split DATA_SPLIT
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train/val/test for scannet or Area_ID for s3dis
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--room_name ROOM_NAME
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room_name
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--task TASK input / semantic_gt / semantic_pred /
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offset_semantic_pred / instance_gt / instance_pred
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--out OUT output point cloud file in FILE.ply format
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```
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