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Signed-off-by: pepisg <pedro.gonzalez@eia.edu.co>
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tutorials/docs/navigation2_with_semantic_segmentation.rst

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.. _navigation2_with_semantic_segmentation:
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Navigating with Semantic Segmentation
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- `Overview`_
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- `Requirements`_
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:alt: Gazebo Baylands world
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1- Setup Semantic Segmentation Inference Node
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The semantic segmentation node performs real-time inference on camera images using an ONNX model. It subscribes to camera images, runs inference, and publishes segmentation masks, confidence maps, and label information.
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To run the semantic segmentation node, you need to install the dependencies from the `requirements.txt <https://github.com/ros-navigation/navigation2_tutorials/blob/master/nav2_semantic_segmentation_demo/semantic_segmentation_node/requirements.txt>`_ file in the semantic_segmentation_node package:
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The tutorial provides a pre-configured `nav2_params.yaml <https://github.com/ros-navigation/navigation2_tutorials/blob/master/nav2_semantic_segmentation_demo/semantic_segmentation_sim/config/nav2_params.yaml>`_ file in the semantic_segmentation_sim package. You can use it to configure the Nav2 costmaps for your own application.
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3- Run everything together
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The tutorial provides a complete launch file that launches the simulation, the semantic segmentation node, and the Nav2 navigation stack. To run it, simply launch the `segmentation_simulation_launch.py <https://github.com/ros-navigation/navigation2_tutorials/blob/master/nav2_semantic_segmentation_demo/semantic_segmentation_sim/launch/segmentation_simulation_launch.py>`_ file:
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