Metadata-Version: 2.1
Name: octomap_ros
Version: 1.8.3
Summary: Python binding of the OctoMap library to integrate with ROS2 
Home-page: https://github.com/ethanmclark1/octomap_ros
Author: Ethan Clark, Blake Narramore
Author-email: eclark715@gmail.com, blaque2pi@msn.com
Maintainer: Ethan Clark
Maintainer-email: eclark715@gmail.com
License: BSD
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Description-Content-Type: text/markdown
Requires-Dist: numpy<1.25.0,>=1.24.3
Provides-Extra: example
Requires-Dist: glooey; extra == "example"
Requires-Dist: imgviz>=1.2.0; extra == "example"
Requires-Dist: pyglet; extra == "example"
Requires-Dist: trimesh[easy]; extra == "example"

<h1 align="center">octomap_ros</h1>
<h4 align="center">Python binding of <a href="https://github.com/OctoMap/octomap">the OctoMap library</a> for ROS (Robot Operating System).</h4>
<div align="center">
  <a href="https://pypi.python.org/pypi/octomap_ros"><img src="https://img.shields.io/pypi/v/octomap_ros.svg"></a>
  <a href="https://pypi.org/project/octomap_ros"><img src="https://img.shields.io/pypi/pyversions/octomap_ros.svg"></a>
</div>

## Installation

### ROS Humble Integration

To use OctoMap with ROS Humble, install the following ROS packages:

```bash
sudo apt-get install ros-humble-octomap ros-humble-octomap-mapping ros-humble-octomap-server
```

These packages provide the necessary ROS integration for OctoMap:

- `ros-humble-octomap`: Core OctoMap library for ROS
- `ros-humble-octomap-mapping`: Provides mapping capabilities using OctoMap
- `ros-humble-octomap-server`: Offers a ROS server for OctoMap, allowing you to save, load, and publish OctoMaps

### Python Package

Install `octomap_ros` directly from PyPI:

```bash
pip install octomap-ros
```

**Prerequisites:**

* Python development headers: `sudo apt-get install python3-dev`
* C++ compiler: `sudo apt-get install build-essential`
* CMake: `sudo apt-get install cmake`

## ROS Humble Usage

Here's a basic example of how to use OctoMap with ROS Humble:

```python
import rclpy
from rclpy.node import Node
from octomap_msgs.msg import Octomap
import octomap
import numpy as np

class OctomapProcessor(Node):
    def __init__(self):
        super().__init__('octomap_processor')
        self.subscription = self.create_subscription(
            Octomap,
            '/octomap_binary',
            self.octomap_callback,
            10)
        self.octree = octomap.OcTree(0.1)  # 0.1 is the resolution

    def octomap_callback(self, msg):
        # Convert ROS message to OcTree using binaryMsgToMap
        tree = octomap.OcTree.binaryMsgToMap(msg.resolution, 
                                             msg.id.encode('utf-8'), 
                                             msg.binary, 
                                             msg.data)
    
        if tree is None:
            self.get_logger().warn("Failed to create OcTree from message")
            return
    
        # Process the OcTree
        for node in tree.begin_tree():
            if tree.isNodeOccupied(node):
                # Process occupied nodes
                coord = node.getCoordinate()
                self.get_logger().info(f"Occupied node at {coord[0]}, {coord[1]}, {coord[2]}")

        # You can also update your own OcTree
        occupied_points, _ = tree.extractPointCloud()
        if len(occupied_points) > 0:
            self.octree.insertPointCloud(
                occupied_points,
                np.array([0.0, 0.0, 0.0])  # origin
            )
    
        self.get_logger().info(f"Updated OcTree, now has {self.octree.size()} nodes")

def main(args=None):
    rclpy.init(args=args)
    octomap_processor = OctomapProcessor()
    rclpy.spin(octomap_processor)
    octomap_processor.destroy_node()
    rclpy.shutdown()

if __name__ == '__main__':
    main()
```

This example demonstrates how to:

1. Subscribe to the `/octomap_binary` topic
2. Process incoming OctoMap messages
3. Convert ROS messages to OcTree objects
4. Iterate through occupied nodes in the OcTree
5. Update a local OcTree with new data

To run the OctoMap server and visualize the data:

```bash
# Run the octomap server
ros2 run octomap_server octomap_server_node

# In another terminal, run your OctoMap processor
python3 your_octomap_processor.py

# View the OctoMap in RViz
ros2 run rviz2 rviz2
```

Configure RViz to display the OctoMap by adding an OccupancyGrid or MarkerArray display and setting the appropriate topic (usually `/octomap_binary` or `/octomap_full`).

## Acknowledgement

This package is based on [wkentaro/octomap-python](https://github.com/wkentaro/octomap-python) and [neka-nat/python-octomap](https://github.com/neka-nat/python-octomap), adapted for ROS integration.

## License

`octomap_ros` is licensed under the BSD License. See the [LICENSE](LICENSE) file for details.
