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-***Extensibility:*** GLIM provides the global callback slot mechanism that allows to access the internal states of the mapping process and insert additional constraints to the factor graph. We also release [glim_ext](https://github.com/koide3/glim_ext) that offers example implementations of several extension functions (e.g., explicit loop detection, LiDAR-Visual-Inertial odometry estimation).
**Docker hub:**[koide3/glim_ros1](https://hub.docker.com/repository/docker/koide3/glim_ros1/tags), [koide3/glim_ros2](https://hub.docker.com/repository/docker/koide3/glim_ros2/tags), [ROS1 on Jetpack 5.1.4](https://hub.docker.com/r/junekyoopark/arm64v8_glim_ros1_cuda12.2) (made by [junekyoopark](https://github.com/junekyoopark))
Tested on Ubuntu 22.04 /24.04 with CUDA 12.2 / 12.5 / 12.6, and NVIDIA Jetson Orin (Jetpack 6.1).
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If you find this package useful for your project, please consider leaving a comment [here](https://github.com/koide3/glim/issues/19). It would help the author receive recognition in his organization and keep working on this project.
-[ ROS1 on Jetpack 5.1.4 (Jetson Orin NX)](https://hub.docker.com/r/junekyoopark/arm64v8_glim_ros1_cuda12.2) (made by [junekyoopark](https://github.com/junekyoopark))
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!!! note
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ROS2 sometimes requires additional configurations for communication on docker. See [https://github.com/eProsima/Fast-DDS/issues/2956](https://github.com/eProsima/Fast-DDS/issues/2956). Do not ask us about how to use ROS2 with docker.
***glim_rosbag*** launches a mapping instance that directly reads data from rosbag. It automatically adjusts the playback speed while avoiding data drop to perform mapping in a minimum time.
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<details>
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<summary>ROS1 command</summary>
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```bash
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roscore
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```
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```bash
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rosparam set use_sim_time true
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```
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```bash
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rosrun glim_ros glim_rosbag os1_128_01.bag
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```
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</details>
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<details>
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<summary>ROS2 command</summary>
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**Example**
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<details>
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<summary>ROS1 command</summary>
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```bash
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# Load parameters from "glim/config/presets/gpu/config.json"
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