ROS ROS2,使用“$ ros2 run learning_node node_object_webcam”调出摄像头时,我的摄像头显示确实被调用了,但是不弹出来实时画面,向各位大神求教下如何解决这个问题tomato 2023-04-21 11:02:11 用cheese (sudo apt-get install cheese)看一下是否有图片,如果是用虚拟机可以尝试设置将虚拟机USB兼容性从默认的2...
$ ros2 run learning_node node_object_webcam #注意设置摄像头 Attention 如果是在虚拟机中操作,需要进行以下设置:1. 把虚拟机设置为兼容USB3.1;2. 在可移动设备中将摄像头连接至虚拟机。 运行成功后,该节点就可以驱动摄像头,并且实时识别摄像头中的红色物体啦。 ...
'console_scripts': [ 'node_helloworld = learning_node.node_helloworld:main', 'node_helloworld_class = learning_node.node_helloworld_class:main', 'node_object = learning_node.node_object:main', 'node_object_webcam = learning_node.node_object_webcam:main', ], }, entry_points就是用来接接口...
entry_points={'console_scripts': ['topic_helloworld_pub = learning_topic.topic_helloworld_pub:main','topic_helloworld_sub = learning_topic.topic_helloworld_sub:main','topic_webcam_pub = learning_topic.topic_webcam_pub:main','topic_webcam_sub = ...
$ ros2 run usb_cam usb_cam_node_exe$ ros2 run learning_topic interface_object_pub$ ros2 run learning_topic interface_object_sub 接口定义 在这个例程中,我们使用ObjectPosition.msg定义了服务通信的接口: learning_interface/msg/ObjectPosition.msg ...
<exec_depend>rosidl_default_runtime</exec_depend> <member_of_group>rosidl_interface_packages</member_of_group> ... 程序调用 我们在代码中再来重点看下接口的使用方法。 客户端接口调用 learning_service/service_object_client.py #!/usr/bin/env python3 ...
输入: rosrun turtlesim turtle_teleop_key(控制小乌龟) 首先,这里讲讲报错怎么解决吧,孩子就一个报错卡了好久。 如果报错: TypeError: cannot use a string pattern on a bytes-like object sudo apt install vim ...
This project includes ROS2 publisher nodes which take a single/multiple video streams as input from webcam or from file: single_stream node: This performs 2 inference tasks on a single video input: Object Detection: Detects 4 classes of objects: Vehicle, Person, Road Sign, Two wheeler. Out...
本研究旨在基于ROS2(Robot Operating System 2)框架,利用navigation2和BehaviorTree等工具和库,设计和实现一个机器人任务级导航仿真系统。该系统能够支持机器人在多个区域中进行自主巡检,并能够根据任务需求进行动态调整。具体研究内容包括: 系统架构设计:基于ROS2框架,设计任务级导航仿真系统的整体架构,包括硬件层、驱动层...
The Triton node uses theTriton Inference Server, which provides a compatible frontend supporting a combination of different inference backends (e.g. ONNX Runtime, TensorRT Engine Plan, TensorFlow, PyTorch). In-house benchmark results measure little difference between using TensorRT directly or configur...