import rclpy from rclpy.node import Node from sensor_msgs.msg import Image import cv2 class CameraPublisher(Node): def __init__(self): super().__init__('camera_publisher') self.publisher_ = self.create_publisher(Image, 'camera_image', 10) timer_period = 0.1 # 发送频率,单位为秒 self.timer = self.create_timer(timer_period, self.timer_callback) def timer_callback(self): # 读取摄像头画面 cap = cv2.VideoCapture(0) ret, frame = cap.read() cap.release() # 将OpenCV的图像转换为ROS的图像消息 img_msg = Image() img_msg.header.stamp = self.get_clock().now().to_msg() img_msg.encoding = 'bgr8' img_msg.height = frame.shape[0] img_msg.width = frame.shape[1] img_msg.step = frame.shape[1] * 3 img_msg.data = frame.tobytes() # 发布图像消息到话题中 self.publisher_.publish(img_msg) def main(args=None): rclpy.init(args=args) camera_publisher = CameraPublisher() rclpy.spin(camera_publisher) camera_publisher.destroy_node() rclpy.shutdown() if __name__ == '__main__': main() setup.py如何配置
时间: 2023-12-23 08:05:51 浏览: 192
在ROS2中,你需要创建一个Python软件包,并在该软件包中创建一个节点。因此,你需要创建一个名为"camera_publisher"的软件包,并在该软件包中创建一个名为"camera_publisher_node.py"的文件。接下来,你需要在软件包的根目录下创建一个名为"setup.py"的文件,并输入以下代码:
```python
from setuptools import setup
package_name = 'camera_publisher'
setup(
name=package_name,
version='0.0.0',
packages=[],
py_modules=[
'camera_publisher.camera_publisher_node'
],
install_requires=[
'setuptools',
'opencv-python-headless'
],
data_files=[
('share/ament_index/resource_index/packages', [
'resource/' + package_name
]),
('share/' + package_name, [
'package.xml'
]),
],
entry_points={
'console_scripts': [
'camera_publisher_node = camera_publisher.camera_publisher_node:main'
],
},
)
```
在代码中,你需要将"camera_publisher_node.py"文件添加到"py_modules"列表中。"install_requires"列表中的"opencv-python-headless"是OpenCV Python库的头文件版本,用于图像处理和编解码。在"data_files"列表中,你需要添加"package.xml"文件,以及将软件包添加到资源索引。最后,在"entry_points"字典中,你需要添加一个名为"camera_publisher_node"的控制台脚本,该脚本将在节点启动时运行。
注意:这只是一个示例setup.py文件,你需要根据自己的软件包名称和文件结构进行修改。
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