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ci.yml: check doxygen on 24.04 (#519)
tutorials: change heading depth Signed-off-by: Steve Peters <[email protected]>
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.github/workflows/ci.yml

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uses: gazebo-tooling/action-gz-ci@jammy
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with:
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codecov-enabled: true
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cppcheck-enabled: true
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cpplint-enabled: true
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doxygen-enabled: true
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noble-ci:
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runs-on: ubuntu-latest
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name: Ubuntu Noble CI
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id: ci
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uses: gazebo-tooling/action-gz-ci@noble
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with:
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# codecov-enabled: true
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cppcheck-enabled: true
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cpplint-enabled: true
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doxygen-enabled: true

tutorials/boundingbox_camera.md

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you will find that the dataset is saved in the given path
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#### Dataset Demo
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### Dataset Demo
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![dataset_generation](files/boundingbox_camera/object_detection_dataset.gif)
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tutorials/segmentation_camera.md

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* `<visualize>`: Whether the sensor should be visualized in the GUI (indicated by true) or not (indicated by false). This is currently unused by Gazebo.
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* `<topic>`: The name of the topic which will be used to publish the sensor data.
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#### Label map & Colored map
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### Label map & Colored map
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The segmentation sensor creates 2 maps (or images):
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- The `label map`: For semantic segmentation, each pixel contains the object's label. For panoptic segmentation, each pixel contains the label and object's instance count.
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In the example world we just ran (`segmentation_camera.sdf`), you'll notice that the panoptic camera is saving data to `segmentation_data/instance_camera`, while the semenatic camera is saving data to
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`segmentation_data/semantic_camera` (these are relative paths).
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#### Dataset Demo
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### Dataset Demo
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Up to this point, we have left simulation paused.
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Go ahead and start simulation by pressing the play button at the bottom-left part of the GUI.

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